AI is developing all the time. Here are some picks from several articles what is expected to happen in AI and around it in 2025. Here are picks from various articles, the texts are picks from the article edited and in some cases translated for clarity.
AI in 2025: Five Defining Themes
https://news.sap.com/2025/01/ai-in-2025-defining-themes/
Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from emerging technologies to impacting how businesses run. From building AI agents to interacting with technology in ways that feel more like a natural conversation, AI technologies are poised to transform how we work.
But what exactly lies ahead?
1. Agentic AI: Goodbye Agent Washing, Welcome Multi-Agent Systems
AI agents are currently in their infancy. While many software vendors are releasing and labeling the first “AI agents” based on simple conversational document search, advanced AI agents that will be able to plan, reason, use tools, collaborate with humans and other agents, and iteratively reflect on progress until they achieve their objective are on the horizon. The year 2025 will see them rapidly evolve and act more autonomously. More specifically, 2025 will see AI agents deployed more readily “under the hood,” driving complex agentic workflows.
In short, AI will handle mundane, high-volume tasks while the value of human judgement, creativity, and quality outcomes will increase.
2. Models: No Context, No Value
Large language models (LLMs) will continue to become a commodity for vanilla generative AI tasks, a trend that has already started. LLMs are drawing on an increasingly tapped pool of public data scraped from the internet. This will only worsen, and companies must learn to adapt their models to unique, content-rich data sources.
We will also see a greater variety of foundation models that fulfill different purposes. Take, for example, physics-informed neural networks (PINNs), which generate outcomes based on predictions grounded in physical reality or robotics. PINNs are set to gain more importance in the job market because they will enable autonomous robots to navigate and execute tasks in the real world.
Models will increasingly become more multimodal, meaning an AI system can process information from various input types.
3. Adoption: From Buzz to Business
While 2024 was all about introducing AI use cases and their value for organizations and individuals alike, 2025 will see the industry’s unprecedented adoption of AI specifically for businesses. More people will understand when and how to use AI, and the technology will mature to the point where it can deal with critical business issues such as managing multi-national complexities. Many companies will also gain practical experience working for the first time through issues like AI-specific legal and data privacy terms (compared to when companies started moving to the cloud 10 years ago), building the foundation for applying the technology to business processes.
4. User Experience: AI Is Becoming the New UI
AI’s next frontier is seamlessly unifying people, data, and processes to amplify business outcomes. In 2025, we will see increased adoption of AI across the workforce as people discover the benefits of humans plus AI.
This means disrupting the classical user experience from system-led interactions to intent-based, people-led conversations with AI acting in the background. AI copilots will become the new UI for engaging with a system, making software more accessible and easier for people. AI won’t be limited to one app; it might even replace them one day. With AI, frontend, backend, browser, and apps are blurring. This is like giving your AI “arms, legs, and eyes.”
5. Regulation: Innovate, Then Regulate
It’s fair to say that governments worldwide are struggling to keep pace with the rapid advancements in AI technology and to develop meaningful regulatory frameworks that set appropriate guardrails for AI without compromising innovation.
12 AI predictions for 2025
This year we’ve seen AI move from pilots into production use cases. In 2025, they’ll expand into fully-scaled, enterprise-wide deployments.
https://www.cio.com/article/3630070/12-ai-predictions-for-2025.html
This year we’ve seen AI move from pilots into production use cases. In 2025, they’ll expand into fully-scaled, enterprise-wide deployments.
1. Small language models and edge computing
Most of the attention this year and last has been on the big language models — specifically on ChatGPT in its various permutations, as well as competitors like Anthropic’s Claude and Meta’s Llama models. But for many business use cases, LLMs are overkill and are too expensive, and too slow, for practical use.
“Looking ahead to 2025, I expect small language models, specifically custom models, to become a more common solution for many businesses,”
2. AI will approach human reasoning ability
In mid-September, OpenAI released a new series of models that thinks through problems much like a person would, it claims. The company says it can achieve PhD-level performance in challenging benchmark tests in physics, chemistry, and biology. For example, the previous best model, GPT-4o, could only solve 13% of the problems on the International Mathematics Olympiad, while the new reasoning model solved 83%.
If AI can reason better, then it will make it possible for AI agents to understand our intent, translate that into a series of steps, and do things on our behalf, says Gartner analyst Arun Chandrasekaran. “Reasoning also helps us use AI as more of a decision support system,”
3. Massive growth in proven use cases
This year, we’ve seen some use cases proven to have ROI, says Monteiro. In 2025, those use cases will see massive adoption, especially if the AI technology is integrated into the software platforms that companies are already using, making it very simple to adopt.
“The fields of customer service, marketing, and customer development are going to see massive adoption,”
4. The evolution of agile development
The agile manifesto was released in 2001 and, since then, the development philosophy has steadily gained over the previous waterfall style of software development.
“For the last 15 years or so, it’s been the de-facto standard for how modern software development works,”
5. Increased regulation
At the end of September, California governor Gavin Newsom signed a law requiring gen AI developers to disclose the data they used to train their systems, which applies to developers who make gen AI systems publicly available to Californians. Developers must comply by the start of 2026.
There are also regulations about the use of deep fakes, facial recognition, and more. The most comprehensive law, the EU’s AI Act, which went into effect last summer, is also something that companies will have to comply with starting in mid-2026, so, again, 2025 is the year when they will need to get ready.
6. AI will become accessible and ubiquitous
With gen AI, people are still at the stage of trying to figure out what gen AI is, how it works, and how to use it.
“There’s going to be a lot less of that,” he says. But gen AI will become ubiquitous and seamlessly woven into workflows, the way the internet is today.
7. Agents will begin replacing services
Software has evolved from big, monolithic systems running on mainframes, to desktop apps, to distributed, service-based architectures, web applications, and mobile apps. Now, it will evolve again, says Malhotra. “Agents are the next phase,” he says. Agents can be more loosely coupled than services, making these architectures more flexible, resilient and smart. And that will bring with it a completely new stack of tools and development processes.
8. The rise of agentic assistants
In addition to agents replacing software components, we’ll also see the rise of agentic assistants, adds Malhotra. Take for example that task of keeping up with regulations.
Today, consultants get continuing education to stay abreast of new laws, or reach out to colleagues who are already experts in them. It takes time for the new knowledge to disseminate and be fully absorbed by employees.
“But an AI agent can be instantly updated to ensure that all our work is compliant with the new laws,” says Malhotra. “This isn’t science fiction.”
9. Multi-agent systems
Sure, AI agents are interesting. But things are going to get really interesting when agents start talking to each other, says Babak Hodjat, CTO of AI at Cognizant. It won’t happen overnight, of course, and companies will need to be careful that these agentic systems don’t go off the rails.
Companies such as Sailes and Salesforce are already developing multi-agent workflows.
10. Multi-modal AI
Humans and the companies we build are multi-modal. We read and write text, we speak and listen, we see and we draw. And we do all these things through time, so we understand that some things come before other things. Today’s AI models are, for the most part, fragmentary. One can create images, another can only handle text, and some recent ones can understand or produce video.
11. Multi-model routing
Not to be confused with multi-modal AI, multi-modal routing is when companies use more than one LLM to power their gen AI applications. Different AI models are better at different things, and some are cheaper than others, or have lower latency. And then there’s the matter of having all your eggs in one basket.
“A number of CIOs I’ve spoken with recently are thinking about the old ERP days of vendor lock,” says Brett Barton, global AI practice leader at Unisys. “And it’s top of mind for many as they look at their application portfolio, specifically as it relates to cloud and AI capabilities.”
Diversifying away from using just a single model for all use cases means a company is less dependent on any one provider and can be more flexible as circumstances change.
12. Mass customization of enterprise software
Today, only the largest companies, with the deepest pockets, get to have custom software developed specifically for them. It’s just not economically feasible to build large systems for small use cases.
“Right now, people are all using the same version of Teams or Slack or what have you,” says Ernst & Young’s Malhotra. “Microsoft can’t make a custom version just for me.” But once AI begins to accelerate the speed of software development while reducing costs, it starts to become much more feasible.
9 IT resolutions for 2025
https://www.cio.com/article/3629833/9-it-resolutions-for-2025.html
1. Innovate
“We’re embracing innovation,”
2. Double down on harnessing the power of AI
Not surprisingly, getting more out of AI is top of mind for many CIOs.
“I am excited about the potential of generative AI, particularly in the security space,”
3. And ensure effective and secure AI rollouts
“AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. Balancing the rollout with proper training, adoption, and careful measurement of costs and benefits is essential, particularly while securing company assets in tandem,”
4. Focus on responsible AI
The possibilities of AI grow by the day — but so do the risks.
“My resolution is to mature in our execution of responsible AI,”
“AI is the new gold and in order to truly maximize it’s potential, we must first have the proper guardrails in place. Taking a human-first approach to AI will help ensure our state can maintain ethics while taking advantage of the new AI innovations.”
5. Deliver value from generative AI
As organizations move from experimenting and testing generative AI use cases, they’re looking for gen AI to deliver real business value.
“As we go into 2025, we’ll continue to see the evolution of gen AI. But it’s no longer about just standing it up. It’s more about optimizing and maximizing the value we’re getting out of gen AI,”
6. Empower global talent
Although harnessing AI is a top objective for Morgan Stanley’s Wetmur, she says she’s equally committed to harnessing the power of people.
7. Create a wholistic learning culture
Wetmur has another talent-related objective: to create a learning culture — not just in her own department but across all divisions.
8. Deliver better digital experiences
Deltek’s Cilsick has her sights set on improving her company’s digital employee experience, believing that a better DEX will yield benefits in multiple ways.
Cilsick says she first wants to bring in new technologies and automation to “make things as easy as possible,” mirroring the digital experiences most workers have when using consumer technologies.
“It’s really about leveraging tech to make sure [employees] are more efficient and productive,”
“In 2025 my primary focus as CIO will be on transforming operational efficiency, maximizing business productivity, and enhancing employee experiences,”
9. Position the company for long-term success
Lieberman wants to look beyond 2025, saying another resolution for the year is “to develop a longer-term view of our technology roadmap so that we can strategically decide where to invest our resources.”
“My resolutions for 2025 reflect the evolving needs of our organization, the opportunities presented by AI and emerging technologies, and the necessity to balance innovation with operational efficiency,”
Lieberman aims to develop AI capabilities to automate routine tasks.
“Bots will handle common inquiries ranging from sales account summaries to HR benefits, reducing response times and freeing up resources for strategic initiatives,”
Not just hype — here are real-world use cases for AI agents
https://venturebeat.com/ai/not-just-hype-here-are-real-world-use-cases-for-ai-agents/
Just seven or eight months ago, when a customer called in to or emailed Baca Systems with a service question, a human agent handling the query would begin searching for similar cases in the system and analyzing technical documents.
This process would take roughly five to seven minutes; then the agent could offer the “first meaningful response” and finally begin troubleshooting.
But now, with AI agents powered by Salesforce, that time has been shortened to as few as five to 10 seconds.
Now, instead of having to sift through databases for previous customer calls and similar cases, human reps can ask the AI agent to find the relevant information. The AI runs in the background and allows humans to respond right away, Russo noted.
AI can serve as a sales development representative (SDR) to send out general inquires and emails, have a back-and-forth dialogue, then pass the prospect to a member of the sales team, Russo explained.
But once the company implements Salesforce’s Agentforce, a customer needing to modify an order will be able to communicate their needs with AI in natural language, and the AI agent will automatically make adjustments. When more complex issues come up — such as a reconfiguration of an order or an all-out venue change — the AI agent will quickly push the matter up to a human rep.
Open Source in 2025: Strap In, Disruption Straight Ahead
Look for new tensions to arise in the New Year over licensing, the open source AI definition, security and compliance, and how to pay volunteer maintainers.
https://thenewstack.io/open-source-in-2025-strap-in-disruption-straight-ahead/
The trend of widely used open source software moving to more restrictive licensing isn’t new.
In addition to the demands of late-stage capitalism and impatient investors in companies built on open source tools, other outside factors are pressuring the open source world. There’s the promise/threat of generative AI, for instance. Or the shifting geopolitical landscape, which brings new security concerns and governance regulations.
What’s ahead for open source in 2025?
More Consolidation, More Licensing Changes
The Open Source AI Debate: Just Getting Started
Security and Compliance Concerns Will Rise
Paying Maintainers: More Cash, Creativity Needed
Kyberturvallisuuden ja tekoälyn tärkeimmät trendit 2025
https://www.uusiteknologia.fi/2024/11/20/kyberturvallisuuden-ja-tekoalyn-tarkeimmat-trendit-2025/
1. Cyber infrastructure will be centered on a single, unified security platform
2. Big data will give an edge against new entrants
3. AI’s integrated role in 2025 means building trust, governance engagement, and a new kind of leadership
4. Businesses will adopt secure enterprise browsers more widely
5. AI’s energy implications will be more widely recognized in 2025
6. Quantum realities will become clearer in 2025
7. Security and marketing leaders will work more closely together
Presentation: For 2025, ‘AI eats the world’.
https://www.ben-evans.com/presentations
Just like other technologies that have gone before, such as cloud and cybersecurity automation, right now AI lacks maturity.
https://www.securityweek.com/ai-implementing-the-right-technology-for-the-right-use-case/
If 2023 and 2024 were the years of exploration, hype and excitement around AI, 2025 (and 2026) will be the year(s) that organizations start to focus on specific use cases for the most productive implementations of AI and, more importantly, to understand how to implement guardrails and governance so that it is viewed as less of a risk by security teams and more of a benefit to the organization.
Businesses are developing applications that add Large Language Model (LLM) capabilities to provide superior functionality and advanced personalization
Employees are using third party GenAI tools for research and productivity purposes
Developers are leveraging AI-powered code assistants to code faster and meet challenging production deadlines
Companies are building their own LLMs for internal use cases and commercial purposes.
AI is still maturing
However, just like other technologies that have gone before, such as cloud and cybersecurity automation, right now AI lacks maturity. Right now, we very much see AI in this “peak of inflated expectations” phase and predict that it will dip into the “trough of disillusionment”, where organizations realize that it is not the silver bullet they thought it would be. In fact, there are already signs of cynicism as decision-makers are bombarded with marketing messages from vendors and struggle to discern what is a genuine use case and what is not relevant for their organization.
There is also regulation that will come into force, such as the EU AI Act, which is a comprehensive legal framework that sets out rules for the development and use of AI.
AI certainly won’t solve every problem, and it should be used like automation, as part of a collaborative mix of people, process and technology. You simply can’t replace human intuition with AI, and many new AI regulations stipulate that human oversight is maintained.
7 Splunk Predictions for 2025
https://www.splunk.com/en_us/form/future-predictions.html
AI: Projects must prove their worth to anxious boards or risk defunding, and LLMs will go small to reduce operating costs and environmental impact.
OpenAI, Google and Anthropic Are Struggling to Build More Advanced AI
Three of the leading artificial intelligence companies are seeing diminishing returns from their costly efforts to develop newer models.
https://www.bloomberg.com/news/articles/2024-11-13/openai-google-and-anthropic-are-struggling-to-build-more-advanced-ai
Sources: OpenAI, Google, and Anthropic are all seeing diminishing returns from costly efforts to build new AI models; a new Gemini model misses internal targets
It Costs So Much to Run ChatGPT That OpenAI Is Losing Money on $200 ChatGPT Pro Subscriptions
https://futurism.com/the-byte/openai-chatgpt-pro-subscription-losing-money?fbclid=IwY2xjawH8epVleHRuA2FlbQIxMQABHeggEpKe8ZQfjtPRC0f2pOI7A3z9LFtFon8lVG2VAbj178dkxSQbX_2CJQ_aem_N_ll3ETcuQ4OTRrShHqNGg
In a post on X-formerly-Twitter, CEO Sam Altman admitted an “insane” fact: that the company is “currently losing money” on ChatGPT Pro subscriptions, which run $200 per month and give users access to its suite of products including its o1 “reasoning” model.
“People use it much more than we expected,” the cofounder wrote, later adding in response to another user that he “personally chose the price and thought we would make some money.”
Though Altman didn’t explicitly say why OpenAI is losing money on these premium subscriptions, the issue almost certainly comes down to the enormous expense of running AI infrastructure: the massive and increasing amounts of electricity needed to power the facilities that power AI, not to mention the cost of building and maintaining those data centers. Nowadays, a single query on the company’s most advanced models can cost a staggering $1,000.
Tekoäly edellyttää yhä nopeampia verkkoja
https://etn.fi/index.php/opinion/16974-tekoaely-edellyttaeae-yhae-nopeampia-verkkoja
A resilient digital infrastructure is critical to effectively harnessing telecommunications networks for AI innovations and cloud-based services. The increasing demand for data-rich applications related to AI requires a telecommunications network that can handle large amounts of data with low latency, writes Carl Hansson, Partner Solutions Manager at Orange Business.
AI’s Slowdown Is Everyone Else’s Opportunity
Businesses will benefit from some much-needed breathing space to figure out how to deliver that all-important return on investment.
https://www.bloomberg.com/opinion/articles/2024-11-20/ai-slowdown-is-everyone-else-s-opportunity
Näin sirumarkkinoilla käy ensi vuonna
https://etn.fi/index.php/13-news/16984-naein-sirumarkkinoilla-kaey-ensi-vuonna
The growing demand for high-performance computing (HPC) for artificial intelligence and HPC computing continues to be strong, with the market set to grow by more than 15 percent in 2025, IDC estimates in its recent Worldwide Semiconductor Technology Supply Chain Intelligence report.
IDC predicts eight significant trends for the chip market by 2025.
1. AI growth accelerates
2. Asia-Pacific IC Design Heats Up
3. TSMC’s leadership position is strengthening
4. The expansion of advanced processes is accelerating.
5. Mature process market recovers
6. 2nm Technology Breakthrough
7. Restructuring the Packaging and Testing Market
8. Advanced packaging technologies on the rise
2024: The year when MCUs became AI-enabled
https://www-edn-com.translate.goog/2024-the-year-when-mcus-became-ai-enabled/?fbclid=IwZXh0bgNhZW0CMTEAAR1_fEakArfPtgGZfjd-NiPd_MLBiuHyp9qfiszczOENPGPg38wzl9KOLrQ_aem_rLmf2vF2kjDIFGWzRVZWKw&_x_tr_sl=en&_x_tr_tl=fi&_x_tr_hl=fi&_x_tr_pto=wapp
The AI party in the MCU space started in 2024, and in 2025, it is very likely that there will be more advancements in MCUs using lightweight AI models.
Adoption of AI acceleration features is a big step in the development of microcontrollers. The inclusion of AI features in microcontrollers started in 2024, and it is very likely that in 2025, their features and tools will develop further.
Just like other technologies that have gone before, such as cloud and cybersecurity automation, right now AI lacks maturity.
https://www.securityweek.com/ai-implementing-the-right-technology-for-the-right-use-case/
If 2023 and 2024 were the years of exploration, hype and excitement around AI, 2025 (and 2026) will be the year(s) that organizations start to focus on specific use cases for the most productive implementations of AI and, more importantly, to understand how to implement guardrails and governance so that it is viewed as less of a risk by security teams and more of a benefit to the organization.
Businesses are developing applications that add Large Language Model (LLM) capabilities to provide superior functionality and advanced personalization
Employees are using third party GenAI tools for research and productivity purposes
Developers are leveraging AI-powered code assistants to code faster and meet challenging production deadlines
Companies are building their own LLMs for internal use cases and commercial purposes.
AI is still maturing
AI Regulation Gets Serious in 2025 – Is Your Organization Ready?
While the challenges are significant, organizations have an opportunity to build scalable AI governance frameworks that ensure compliance while enabling responsible AI innovation.
https://www.securityweek.com/ai-regulation-gets-serious-in-2025-is-your-organization-ready/
Similar to the GDPR, the EU AI Act will take a phased approach to implementation. The first milestone arrives on February 2, 2025, when organizations operating in the EU must ensure that employees involved in AI use, deployment, or oversight possess adequate AI literacy. Thereafter from August 1 any new AI models based on GPAI standards must be fully compliant with the act. Also similar to GDPR is the threat of huge fines for non-compliance – EUR 35 million or 7 percent of worldwide annual turnover, whichever is higher.
While this requirement may appear manageable on the surface, many organizations are still in the early stages of defining and formalizing their AI usage policies.
Later phases of the EU AI Act, expected in late 2025 and into 2026, will introduce stricter requirements around prohibited and high-risk AI applications. For organizations, this will surface a significant governance challenge: maintaining visibility and control over AI assets.
Tracking the usage of standalone generative AI tools, such as ChatGPT or Claude, is relatively straightforward. However, the challenge intensifies when dealing with SaaS platforms that integrate AI functionalities on the backend. Analysts, including Gartner, refer to this as “embedded AI,” and its proliferation makes maintaining accurate AI asset inventories increasingly complex.
Where frameworks like the EU AI Act grow more complex is their focus on ‘high-risk’ use cases. Compliance will require organizations to move beyond merely identifying AI tools in use; they must also assess how these tools are used, what data is being shared, and what tasks the AI is performing. For instance, an employee using a generative AI tool to summarize sensitive internal documents introduces very different risks than someone using the same tool to draft marketing content.
For security and compliance leaders, the EU AI Act represents just one piece of a broader AI governance puzzle that will dominate 2025.
The next 12-18 months will require sustained focus and collaboration across security, compliance, and technology teams to stay ahead of these developments.
The Global Partnership on Artificial Intelligence (GPAI) is a multi-stakeholder initiative which aims to bridge the gap between theory and practice on AI by supporting cutting-edge research and applied activities on AI-related priorities.
https://gpai.ai/about/#:~:text=The%20Global%20Partnership%20on%20Artificial,activities%20on%20AI%2Drelated%20priorities.
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Tomi Engdahl says:
Suomalaislähtöinen yhtiö toi markkinoille kielimallin, joka havaitsee hallusinaatiota – Tähtää markkinajohtajaksi
Marko Pinola24.2.202510:56Tekoäly
Uusi kielimalli on koulutettu Kajaanissa sijaitsevalla Lumi-supertietokoneella.
https://www.tivi.fi/uutiset/suomalaislahtoinen-yhtio-toi-markkinoille-kielimallin-joka-havaitsee-hallusinaatiota-tahtaa-markkinajohtajaksi/01e194fb-1669-410c-8e53-d9ba7249fd4c
Tomi Engdahl says:
Microsoft data center leases slowing, analysts say, raising investor attention
https://www.channelnewsasia.com/business/microsoft-data-center-leases-slowing-analysts-say-raising-investor-attention-4956946
Tomi Engdahl says:
Neousys Launches the Market’s First IP66 Panel PC Powered by NVIDIA® Jetson Orin™ NX or Jetson Orin™ Nano for Off-road Vehicles or Autonomous Machines
https://www.automate.org/ai/news/neousys-launches-the-markets-first-ip66-panel-pc-powered-by-nvidia-jetson-orin-nx-or-jetson-orin-nano-for-off-road-vehicles-or-autonomous-machines
Tomi Engdahl says:
SGLang: An Open-Source Inference Engine Transforming LLM Deployment through CPU Scheduling, Cache-Aware Load Balancing, and Rapid Structured Output Generation
https://www.marktechpost.com/2025/02/21/sglang-an-open-source-inference-engine-transforming-llm-deployment-through-cpu-scheduling-cache-aware-load-balancing-and-rapid-structured-output-generation/
Tomi Engdahl says:
AI is everywhere since October 7, from the battlefield to the cyber arena
Rapid integration of AI into defense, cybersecurity and mass communication has been fast-forwarded since October 7, 2023
https://www.ynetnews.com/business/article/r10m6gk51e
Tomi Engdahl says:
https://uk.finance.yahoo.com/news/deepseek-share-ai-model-code-094536130.html
Tomi Engdahl says:
Reinforcement Learning Triples Spot’s Running Speed The Robotics and AI Institute is teaching robot dogs to run and bicycles to jump
https://spectrum.ieee.org/ai-institute
Tomi Engdahl says:
https://www.marktechpost.com/2025/02/23/meta-ai-introduces-mlgym-a-new-ai-framework-and-benchmark-for-advancing-ai-research-agents/
Tomi Engdahl says:
Introducing GitHub Copilot agent mode (preview)
February 24, 2025 by Isidor Nikolic
Copilot agent mode is the next evolution in AI-assisted coding. Acting as an autonomous peer programmer, it performs multi-step coding tasks at your command — analyzing your codebase, reading relevant files, proposing file edits, and running terminal commands and tests. It responds to compile and lint errors, monitors terminal and test output, and auto-corrects in a loop until the task is completed. Available to all VS Code Insiders users today, and soon in VS Code Stable.
https://code.visualstudio.com/blogs/2025/02/24/introducing-copilot-agent-mode
Tomi Engdahl says:
https://www.cnx-software.com/2025/02/24/the-openvoiceos-foundation-aims-to-enable-open-source-privacy-and-customization-for-voice-assistants/
Tomi Engdahl says:
Don’t make the same mistake he did. https://trib.al/rAvlmZh
Man’s Entire Life Destroyed After Downloading AI Software
https://futurism.com/the-byte/life-destroyed-ai?fbclid=IwY2xjawIxs8tleHRuA2FlbQIxMQABHTOVjw95ViGHt9W2Y9ZZabCQmcKUmpB3jccFXqgMBWoYBzTICpWcaNgLQA_aem_rwONQfEOXESv0SZPhdaF2Q
“It’s impossible to convey the sense of violation.”
Last February, Disney employee Matthew Van Andel downloaded what seemed like a helpful AI tool from the developer site GitHub.
Little did he know that the decision would totally upend his life — resulting in everything from his credit cards to social security number being leaked to losing his job, as the Wall Street Journal reports.
“It’s impossible to convey the sense of violation,” the 42-year old Van Andel, who is the father of two boys, told the newspaper.
The software, an AI image generator, worked as advertised. But embedded into its files was a piece of malware, which a tenacious hacker used to probe Van Andel’s password manager. Van Andel found out after the hacker, going by the name “Nullbulge,” sent him an ominous message on Discord, a chat and VoIP platform popular with gamers.
Tomi Engdahl says:
https://www.splunk.com/en_us/blog/learn/data-analytics.html
Tomi Engdahl says:
“A key irony of automation …” https://trib.al/GtejxWL
Tomi Engdahl says:
https://www.ninjaone.com/blog/what-is-aiops/
Tomi Engdahl says:
https://grafana.com/blog/2024/05/15/ai-powered-insights-for-continuous-profiling-introducing-flame-graph-ai-in-grafana-cloud/
Tomi Engdahl says:
Windsurf vs Cursor: which is the better AI code editor?
https://www.youtube.com/watch?v=9jgR-Ih_wGs
I ranked every AI Coder: Bolt vs. Cursor vs. Replit vs Lovable
https://www.youtube.com/watch?v=Ojk51mNOUow
Tomi Engdahl says:
Codeium Windsurf: The Full-Stack App Builder | Better Than Cursor?
https://www.youtube.com/watch?v=Wvyc2E6OHm8
Tomi Engdahl says:
ByteDance’s custom chip made by Broadcom has been canceled, Broadcom to lose $2B to $3B
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Korean media reports that TikTok parent company ByteDance has had its deal with Broadcom canceled, new 5nm AI accelerator deal could be finished.
Read more: https://www.tweaktown.com/news/103607/bytedances-custom-chip-made-by-broadcom-has-been-canceled-to-lose-2b-3b/index.html
Tomi Engdahl says:
https://www.marktechpost.com/2025/03/01/deepseeks-latest-inference-release-a-transparent-open-source-mirage/
Tomi Engdahl says:
https://www.marktechpost.com/2025/03/01/meet-ai-co-scientist-a-multi-agent-system-powered-by-gemini-2-0-for-accelerating-scientific-discovery/
Tomi Engdahl says:
When AI Agents Have Their Own Economy, Everything Changes
AI agents are starting to act independently, which could usher in a fundamentally new type of economic reality in which the technology is more than a tool.
https://decrypt.co/308404/when-ai-agents-own-economy-everything-changes
Tomi Engdahl says:
Another DeepSeek moment? China’s kung fu bot goes open source
China’s robotics race is whirling ahead – and it could give martial arts masters a run for their money
https://www.scmp.com/news/china/science/article/3300380/another-deepseek-moment-chinas-kung-fu-bot-goes-open-source
Tomi Engdahl says:
https://etn.fi/index.php/13-news/17225-amazon-toi-nopeammat-ja-edullisemmat-tekoaelymallinsa-suomeen
Amazon Web Services (AWS) on tuonut uuden sukupolven generatiiviset tekoälymallinsa, Amazon Novan, myös suomalaisten yritysten käyttöön. Amazon Nova -mallisto on suunniteltu tarjoamaan nopeampi, kustannustehokkaampi ja tietoturvallisempi AI-ratkaisu, joka mahdollistaa tekoälyn laajemman hyödyntämisen eri toimialoilla.
Amazon Nova -mallit ovat nyt saatavilla AWS:n Euroopan datakeskuksista, joihin kuuluvat Tukholma, Frankfurt, Irlanti ja Pariisi. Tämä tarkoittaa, että suomalaiset yritykset voivat käyttää tekoälyä ilman, että data siirtyy EU:n ulkopuolelle, minkä ansiosta tietoturva ja GDPR:n noudattaminen paranevat
Tomi Engdahl says:
https://etn.fi/index.php/13-news/17224-jollan-tekoaelyassistentti-on-mindy
Jollan tekoälyassistentti on Mindy
Julkaistu: 04.03.2025
Embedded Artificial Intelligence
Suomalainen mobiiliteknologian pioneeri Jolla on julkistanut täysin yksityisen tekoälyassistentti Mindyn, joka toimii yhtiön uudessa Jolla Mind2 -tekoälylaitteessa. Mindy on kehitetty yhteistyössä Venho.ai:n kanssa ja esiteltiin ensimmäistä kertaa Mobile World Congress 2025 -tapahtumassa Barcelonassa.
Mindyn tavoitteena on tarjota käyttäjille turvallinen ja täysin personoitavissa oleva tekoälyavustaja, joka toimii ilman Big Tech -yritysten pilvipalveluita. Sen keskeisiin ominaisuuksiin kuuluu oma AI-avatar, mahdollisuus räätälöidä tekoäly henkilökohtaisten tarpeiden mukaan sekä kyky luoda automatisoituja AI-agentteja. Mindy toimii myös offline-tilassa Jolla Mind2 -laitteessa, mikä takaa tietojen täyden yksityisyyden.
- Tavoitteenamme on ollut alusta asti tarjota yksityinen tekoälyassistentti, joka on käyttäjän omistama – ei suurten teknologiayhtiöiden hallinnassa, kertoo Antti Saarnio, Jollan ja Venho.ai:n perustajaosakas.
Tomi Engdahl says:
Artificial Intelligence
Knostic Secures $11 Million to Rein in Enterprise AI Data Leakage, Oversharing
https://www.securityweek.com/knostic-secures-11-million-to-rein-in-enterprise-ai-data-leakage-oversharing/
Knostic provides a “need-to-know” filter on the answers generated by enterprise large language models (LLM) tools.
Knostic, a Virginia startup building technology to manage data leakage and oversharing with enterprise-class AI tools, has banked $11 million in a new funding round.
The company, which emerged from stealth last April with ambitious plans to provide a “need-to-know” filter on the answers generated by large language models, said the seed-stage financing was led by Bight Pixel Capital.
Silicon Valley CISO Investments) and previous backers DNX Ventures and Seedcamp also took equity positions.
Knostic, founded by veteran security pros Gadi Evron and Sounil Yu, has raised a total of $14 million to build and market a “knowledge control layer” that ensures that AI outputs adhere to a company’s need-to-know principles.
Tomi Engdahl says:
Artificial Intelligence
Intel TDX Connect Bridges the CPU-GPU Security Gap
AI is all about data – and keeping AI’s data confidential both within devices and between devices is problematic. Intel offers a solution.
https://www.securityweek.com/intel-tdx-connect-bridges-the-cpu-gpu-security-gap/
The use of AI by companies is expanding rapidly. This requires the collection and processing of vast amounts of corporate data. The threat of sensitive company data and PII leaking is serious and heavily regulated by governments.
One problem is that AI data processing is performed on devices with GPUs (such as Nvidia), while the data source (as in parameters and prompts) is delivered through connected devices more commonly using standard CPUs (such as Intel). Mapping the data from one device to another has been achieved in software with the use of Bounce Buffers. But these add overhead to the data transfer and cannot be secured as effectively as hardware protection. Direct memory access, from one device to the other, is a better solution.
Intel is addressing this by extending its TDX Connect technology on its Xeon 6 processors. TDX is the basis for Intel’s Confidential Computing – isolated and hardware-protected Trust Domains within VMs providing greater data confidentiality and integrity in cloud and virtualized environments.
TDX Connect extends this concept beyond the Intel CPU to any supporting device, including GPUs, Smart NICs, and storage devices. Its relevance is primarily to Intel’s wider concept of confidential computing – but in the current technology environment, much interest will focus on the potential for confidential AI.
Confidential AI
The data security problem for burgeoning AI applications lies in AI methodology. “AI is all about data,” explains Anand Pashupathy, VP & general manager of Intel’s security software & services division. “Parameters going in, prompts going in, data being processed, and the results coming back. A lot of this is happening without confidential computing protection.”
For him, confidential AI is the application of confidential computing to the rapidly growing use of gen-AI applications. It is a partnership between the trusted execution environment (TEE) on the CPU (that is, TDX on Intel) and the GPU’s own TEE. Data is kept confidential between the two via TDX Connect’s high performance, encrypted connection and secure direct memory access.
“This helps ensure end-to-end compliance and data security,” he writes in Intel’s announcement.
Announcing Intel® TDX Connect Support on Intel® Xeon® 6
https://community.intel.com/t5/Blogs/Tech-Innovation/Data-Center/Announcing-Intel-TDX-Connect-Support-on-Intel-Xeon-6/post/1668423
Tomi Engdahl says:
Artificial Intelligence
AI Asset Inventories: The Only Way to Stay on Top of a Lightning-fast Landscape
Unauthorized AI usage is a ticking time bomb. A tool that wasn’t considered a risk yesterday may introduce new AI-powered features overnight.
https://www.securityweek.com/ai-asset-inventories-the-only-way-to-stay-on-top-of-a-lightning-fast-landscape/
CISOs are having to adapt at lightning speed to the rapidly changing AI landscape. DeepSeek is just the latest example of this in practice – a new ‘latest and greatest’ tool emerges and quickly tops download charts. Employees start using it at work despite the data policy explicitly stating all information will be held in China. Even the Pentagon is forced to tell its employees to stop using it. And of course DeepSeek is just the latest in what will be a long lineup of AI tools from China and elsewhere.
Unauthorized AI usage is a ticking time bomb. Employees are integrating AI tools into their work, sometimes unknowingly exposing sensitive data to third-party models. And it’s also highly dynamic – a tool that wasn’t considered a risk yesterday may introduce new AI-powered features overnight. So what to do about it?
Tomi Engdahl says:
It starts with forming an AI asset inventory since without it, organizations are flying blind, exposing sensitive data and missing critical compliance risks. And it’s now becoming mandated since regulatory frameworks such as the EU AI Act, ISO 42001, and the NIST AI Risk Management Framework (AI RMF) make this a foundational requirement.
https://www.securityweek.com/ai-asset-inventories-the-only-way-to-stay-on-top-of-a-lightning-fast-landscape/
Tomi Engdahl says:
https://www.uusiteknologia.fi/2025/03/06/32-topsn-ai-tikulla-lisaa-tekoaly-kannettavaan-mikroon/
Barcelonan Mobile World -tapahtumassa on esillä kaupallisten laitteiden myös erilaisia muotoilu- ja teknologiaprotojakin. Sellainen on kuvan AI Stick -tuotekonsepti, jonka avulla mikroon saadaan runsaasti lisää tekoälyn laskentakykyä.
Lenovon esittelemän moduulin avulla voidaan tavallisella tietokoneella käyttää uusia kehittyneitä tekoälytoimintoja, kuten suuria kielimalleja tai tekoälyä hyödyntäviä grafiikkasovelluksia.
Lenovon AI Stick sisältää 32 TOPSin tekoälykiihdyttimen, joka liitetään tietokoneeseen USB-C- tai Thunderbolt-liitännällä. Näin tietokone voi hyödyntää Lenovo AI Now -toiminnallisuuksia.
Toinen Lenovon vielä konseptiasteella oleva uutuus on tekoälynäyttö, AI Display, joka sisältää myös vakionan tekoälykiihdyttimen. Se ei paranna yrityksen mukaan pelkästään paranna näytön toiminnallisuutta, vaan tuo tekoälyn mahdollisuudet myös vanhemmille tietokoneille.
Tomi Engdahl says:
Artificial Intelligence
AIceberg Gets $10 Million in Seed Funding for AI Security Platform
AIceberg has launched a solution that helps governments and enterprises with the safe, secure and compliant adoption of AI.
https://www.securityweek.com/aiceberg-gets-10-million-in-seed-funding-for-ai-security-platform/
Tomi Engdahl says:
Image2Prompt is a free, advanced AI tool that transforms any image into detailed, optimized prompts for AI image generators. Whether you’re a professional artist or hobbyist creator, our tool bridges the gap between visual inspiration and AI prompt engineering.
Key Features:
1. Smart Image Analysis: Our technology accurately identifies objects, scenes, styles, colors, and artistic elements in your images to create comprehensive prompts.
2. Multi-Model Support: Generate prompts optimized specifically for Midjourney, Stable Diffusion, and Flux AI with formatting tailored to each platform.
3. Multilingual Capabilities: Create prompts in 15+ languages including English, Chinese, Japanese, Korean, Spanish, French, German, and more.
4. Style Recognition: Our tool detects artistic styles, lighting, composition, and visual techniques to capture the essence of your reference images.
5. Free Daily Usage: Enjoy 7 free image-to-prompt conversions every day with no credit card required.
6. Privacy Focused: Your images are processed securely and never stored on our servers.
7. Text Prompt Generator: In addition to image analysis, we offer a text-based prompt generator to enhance simple descriptions into detailed prompts for AI art creation.
8. User-Friendly Interface: Simple upload process and intuitive design make creating AI prompts effortless.
How to use Image2Prompt:
9. Upload your image or provide a URL
10. Select your preferred AI model and output language
11. Generate your prompt instantly
12. Use or modify the result with any AI image generator
Whether you’re recreating reference images, seeking inspiration, or wanting to understand the elements that make an image appealing, Image2Prompt provides the detailed prompts you need for exceptional AI-generated artwork.
Visit https://image2prompt.net today and transform your images into perfect AI prompts for free!
Tomi Engdahl says:
https://www.uusiteknologia.fi/2025/03/06/32-topsn-ai-tikulla-lisaa-tekoaly-kannettavaan-mikroon/
Barcelonan Mobile World -tapahtumassa on esillä kaupallisten laitteiden myös erilaisia muotoilu- ja teknologiaprotojakin. Sellainen on kuvan AI Stick -tuotekonsepti, jonka avulla mikroon saadaan runsaasti lisää tekoälyn laskentakykyä.
Lenovon esittelemän moduulin avulla voidaan tavallisella tietokoneella käyttää uusia kehittyneitä tekoälytoimintoja, kuten suuria kielimalleja tai tekoälyä hyödyntäviä grafiikkasovelluksia.
Lenovon AI Stick sisältää 32 TOPSin tekoälykiihdyttimen, joka liitetään tietokoneeseen USB-C- tai Thunderbolt-liitännällä. Näin tietokone voi hyödyntää Lenovo AI Now -toiminnallisuuksia.
Tomi Engdahl says:
Financial Times:
Sources: Meta plans to add improved voice features in Llama 4, expected in weeks, betting that future AI agents will be conversational rather than text-led
Meta accelerates voice-powered AI push
Social media giant is introducing improved features as it bets on the technology driving the growth of so-called AI agents
https://www.ft.com/content/a1014427-c2ce-4204-b41a-001277309cea
Mark Zuckerberg is building up the voice capabilities of Meta’s artificial intelligence this year, as the social media giant pushes forward with plans to generate revenues from the fast-developing technology.
Meta is planning to introduce improved voice features into its latest open-source large language model, Llama 4, expected in the coming weeks, said people familiar with the matter, as it bets that future so-called AI-powered agents will be conversational rather than text-led.
The company has been particularly focused on making the conversation between a user and its voice model closer to a two-way natural dialogue, allowing for interruptions from the user rather than a more rigid question and answer format, one person said.
The voice push comes as Zuckerberg, chief executive, has outlined bold plans to make the $1.7tn Silicon Valley company the “AI leader”, calling 2025 a make-or-break year for many of its AI products, as the group races against rivals such as OpenAI, Microsoft and Google to commercialise the technology.
This has led the company to look at trialling premium subscriptions for its AI assistant Meta AI, for agentic tasks such as booking reservations and video creation, said two people familiar with the matter. It is also considering introducing paid advertising or sponsored posts into the search results of its AI assistant, one of the people said.
The group’s chief product officer Chris Cox on Wednesday highlighted some of its plans for Llama 4, saying it would be an “omni model” whereby speech would “be native . . . rather than translating voice into text, sending text to the LLM, getting text out, and turning that back into speech”.
Meta has also been discussing the guardrails that the newest Llama model should have around what it can output and whether to lower them
OpenAI released its voice mode last year and has focused on giving it distinct personalities, while Grok 3, created by Elon Musk’s xAI and available on the X platform, rolled out its voice features to select users late last month.
The Grok model was specifically designed to have fewer guardrails, including an “unhinged mode” that deliberately responds in ways intended to be “objectionable, inappropriate, and offensive”, according to the company.
Allowing users to interact with an AI assistant using voice commands is a major feature of Meta’s Ray Bans smart glasses, which have recently become a big hit among consumers.
https://www.ft.com/content/77bd9117-0a2d-4bd7-9248-4dd288f695a4
Tomi Engdahl says:
McDonald’s Gives Its Restaurants an AI Makeover
The fast-food giant’s new initiative uses artificial intelligence to target order accuracy and help restaurants detect equipment issues before they fail
https://www.wsj.com/articles/mcdonalds-gives-its-restaurants-an-ai-makeover-2134f01e?st=Vqo8ao&reflink=desktopwebshare_permalink
McDonald’s is giving its 43,000 restaurants a technology makeover, starting with internet-connected kitchen equipment, artificial intelligence-enabled drive-throughs and AI-powered tools for managers.
The goal? To drive better experiences for its customers and workers who today contend with issues ranging from broken machines to wrong orders, according to Brian Rice, the Chicago-based burger giant’s chief information officer.
“Our restaurants, frankly, can be very stressful. We have customers at the counter, we have customers at our drive-through, couriers coming in for delivery, delivery at curbside. That’s a lot to deal with for our crew,” Rice said in an interview. “Technology solutions will alleviate the stress.”
The investments are coming at a key time for McDonald’s, whose U.S. sales were sluggish in January—reflective of a broader slump in the fast-food industry.
The restaurant is hoping that a better tech-enabled experience will help it deliver on its goal of growing its loyalty patrons from 175 million to 250 million by 2027.
To accomplish that, McDonald’s tapped Google Cloud in late 2023 to bring more computing power to each of its restaurants—giving them the ability to process and analyze data on-site. The setup, known as edge computing, can be a faster, cheaper option than sending data to the cloud, especially in more far-flung locations with less reliable cloud connections, said Rice.
Edge computing will enable applications like predicting when kitchen equipment—such as fryers and its notorious McFlurry ice cream machines—is likely to break down, Rice said. The burger chain said its suppliers have begun installing sensors on kitchen equipment that will feed data to the edge computing system and give franchisees a “real-time” view into how their restaurants are operating. AI can then analyze that data for early signs of a maintenance problem.
McDonald’s is also exploring the use of computer vision, the form of AI behind facial recognition, in store-mounted cameras to determine whether orders are accurate before they’re handed to customers, he said.
“If we can proactively address those issues before they occur, that’s going to mean smoother operations in the future,” Rice added.
McDonald’s began rolling out edge computing to some U.S. restaurants in 2024, the company said, and plans to include more this year. It declined to say how many restaurants currently have edge cloud connectivity, and when the process will be completed.
Additionally, the ability to tap edge computing will power voice AI at the drive-through, a capability McDonald’s is also working with Google’s cloud-computing arm to explore, Rice said. The company has been experimenting with voice-activated drive-throughs and robotic deep fryers since 2019, and ended its partnership with International Business Machines to test automated order-taking at the drive-through in 2024.
Edge computing will also help McDonald’s restaurant managers oversee their in-store operations. The burger giant is looking to create a “generative AI virtual manager,” Rice said, which handles administrative tasks such as shift scheduling on managers’ behalf. Fast-food giant Yum Brands’ Pizza Hut and Taco Bell have explored similar capabilities.
McDonald’s is an early mover in its industry when it comes to using edge computing, but it’s by no means alone, according to Jose Gomes, a managing director of retail and consumer goods at Google Cloud. The technology is expected to be used by any sector with distributed physical locations, including hospitals and factories.
Despite its first-mover advantage, McDonald’s will still face challenges including cost and the difficulty of rolling out the same technology across franchises and corporate-owned locations,
But, compared with some of its quick-service restaurant peers, McDonald’s has been relatively aggressive at investing in new digital technologies, Unni said. That, combined with the vast amount of data it has collected on its customers, gives the fast-food giant a leg up on figuring out how to improve customer loyalty.
Tomi Engdahl says:
NewsGuard’s Reality Check:
An audit found that 10 top AI chatbots, including ChatGPT, Copilot, and Gemini, repeated false claims from a pro-Kremlin disinformation network 33% of the time
A well-funded Moscow-based global ‘news’ network has infected Western artificial intelligence tools worldwide with Russian propaganda
An audit found that the 10 leading generative AI tools advanced Moscow’s disinformation goals by repeating false claims from the pro-Kremlin Pravda network 33 percent of the time
https://www.newsguardrealitycheck.com/p/a-well-funded-moscow-based-global
A Moscow-based disinformation network named “Pravda” — the Russian word for “truth” — is pursuing an ambitious strategy by deliberately infiltrating the retrieved data of artificial intelligence chatbots, publishing false claims and propaganda for the purpose of affecting the responses of AI models on topics in the news rather than by targeting human readers, NewsGuard has confirmed. By flooding search results and web crawlers with pro-Kremlin falsehoods, the network is distorting how large language models process and present news and information. The result: Massive amounts of Russian propaganda — 3,600,000 articles in 2024 — are now incorporated in the outputs of Western AI systems, infecting their responses with false claims and propaganda.
This infection of Western chatbots was foreshadowed in a talk American fugitive turned Moscow based propagandist John Mark Dougan gave in Moscow last January at a conference of Russian officials, when he told them, “By pushing these Russian narratives from the Russian perspective, we can actually change worldwide AI.”
A NewsGuard audit has found that the leading AI chatbots repeated false narratives laundered by the Pravda network 33 percent of the time — validating Dougan’s promise of a powerful new distribution channel for Kremlin disinformation.
AI Chatbots Repeat Russian Disinformation at Scale
The NewsGuard audit tested 10 of the leading AI chatbots — OpenAI’s ChatGPT-4o, You.com’s Smart Assistant, xAI’s Grok, Inflection’s Pi, Mistral’s le Chat, Microsoft’s Copilot, Meta AI, Anthropic’s Claude, Google’s Gemini, and Perplexity’s answer engine. NewsGuard tested the chatbots with a sampling of 15 false narratives that have been advanced by a network of 150 pro-Kremlin Pravda websites from April 2022 to February 2025.
NewsGuard’s findings confirm a February 2025 report by the U.S. nonprofit the American Sunlight Project (ASP), which warned that the Pravda network was likely designed to manipulate AI models rather than to generate human traffic. The nonprofit termed the tactic for affecting the large-language models as “LLM [large-language model] grooming.”
Tomi Engdahl says:
Kyle Wiggers / TechCrunch:
Former OpenAI policy researcher Miles Brundage criticizes OpenAI for “rewriting the history of GPT-2”, after OpenAI outlined its safety and alignment philosophy
OpenAI’s ex-policy lead criticizes the company for ‘rewriting’ its AI safety history
https://techcrunch.com/2025/03/06/openais-ex-policy-lead-criticizes-the-company-for-rewriting-its-ai-safety-history/
Tomi Engdahl says:
Charles Rollet / TechCrunch:
Source: the US Department of Labor is actively investigating Scale AI for compliance with the Fair Labor Standards Act, a doc says since at least August 2024 — The U.S. Department of Labor is investigating the data labeling startup Scale AI for compliance with the Fair Labor Standards Act, TechCrunch has learned.
Scale AI is being investigated by the US Department of Labor
https://techcrunch.com/2025/03/06/scale-ai-is-being-investigated-by-the-us-department-of-labor/
Tomi Engdahl says:
Marc Caputo / Axios:
The US State Department says it will use AI to review social media accounts to revoke visas of students who seem to support designated terror groups like Hamas — Secretary of State Marco Rubio is launching an AI-fueled “Catch and Revoke” effort to cancel the visas of foreign nationals …
Scoop: State Dept. to use AI to revoke visas of foreign students who appear “pro-Hamas”
https://www.axios.com/2025/03/06/state-department-ai-revoke-foreign-student-visas-hamas
Secretary of State Marco Rubio is launching an AI-fueled “Catch and Revoke” effort to cancel the visas of foreign nationals who appear to support Hamas or other designated terror groups, senior State Department officials tell Axios.
Why it matters: The effort — which includes AI-assisted reviews of tens of thousands of student visa holders’ social media accounts — marks a dramatic escalation in the U.S. government’s policing of foreign nationals’ conduct and speech.
The reviews of social media accounts are particularly looking for evidence of alleged terrorist sympathies expressed after Hamas’ Oct. 7, 2023, attack on Israel, officials say.
Officials plan to examine internal databases to see whether any visa holders were arrested but allowed to stay in the country during the Biden administration.
They say they’re also checking news reports of anti-Israel demonstrations and Jewish students’ lawsuits that highlight foreign nationals allegedly engaged in antisemitic activity without consequence.
The State Department is working with the departments of Justice and Homeland Security in what one senior State official called a “whole of government and whole of authority approach.”
Tomi Engdahl says:
Jessica E. Lessin / The Information:
Sources: Larry Page has formed a new company, Dynatomics, to use LLMs to create highly optimized designs for various objects and then have a factory build them — Google co-founder Larry Page has formed a new company, Dynatomics, to upend manufacturing with artificial intelligence.
Larry Page Has a New AI Startup
https://www.theinformation.com/articles/larry-page-has-a-new-ai-startup
Tomi Engdahl says:
Emma Roth / The Verge:
DuckDuckGo says AI answers are out of beta and now get info from across the web, not just Wikipedia; setting AI answers to “often” shows them ~20% of the time
DuckDuckGo is amping up its AI search tool — but will still let you leave it behind
https://www.theverge.com/news/624899/duckduckgo-ai-search-chatbot-plans
You can still choose how often you see AI-assisted answers, which now incorporate results from the web.
Tomi Engdahl says:
Carl Franzen / VentureBeat:
Alibaba releases open-source reasoning model QwQ-32B on Hugging Face and ModelScope, claiming comparable performance to DeepSeek-R1 but with lower compute needs
Alibaba’s new open source model QwQ-32B matches DeepSeek-R1 with way smaller compute requirements
https://venturebeat.com/ai/alibabas-new-open-source-model-qwq-32b-matches-deepseek-r1-with-way-smaller-compute-requirements/
Qwen Team — a division of Chinese e-commerce giant Alibaba developing its growing family of open-source Qwen large language models (LLMs) — has introduced QwQ-32B, a new 32-billion-parameter reasoning model designed to improve performance on complex problem-solving tasks through reinforcement learning (RL).
The model is available as open-weight on Hugging Face and on ModelScope under an Apache 2.0 license. This means it’s available for commercial and research uses, so enterprises can employ it immediately to power their products and applications (even ones they charge customers to use).
Qwen-with-Questions was Alibaba’s answer to OpenAI’s original reasoning model o1
QwQ, short for Qwen-with-Questions, was first introduced by Alibaba in November 2024 as an open-source reasoning model aimed at competing with OpenAI’s o1-preview.
At launch, the model was designed to enhance logical reasoning and planning by reviewing and refining its own responses during inference, a technique that made it particularly effective in math and coding tasks.
The initial version of QwQ released back in November 2024 (called simply, “QwQ”) featured 32 billion parameters as well, and a 32,000-token context length. Alibaba highlighted its ability to outperform o1-preview in mathematical benchmarks like AIME and MATH, as well as scientific reasoning tasks such as
Despite its strengths, QwQ’s early iterations struggled with programming benchmarks like LiveCodeBench, where OpenAI’s models maintained an edge. Additionally, as with many emerging reasoning models, QwQ faced challenges such as language mixing and occasional circular reasoning loops.
However, Alibaba’s decision to release the model under an Apache 2.0 license ensured that developers and enterprises could freely adapt and commercialize it, distinguishing it from proprietary alternatives like OpenAI’s o1.
Since QwQ’s initial release, the AI landscape has evolved rapidly. The limitations of traditional LLMs have become more apparent, with scaling laws yielding diminishing returns in performance improvements.
This shift has fueled interest in large reasoning models (LRMs) — a new category of AI systems that use inference-time reasoning and self-reflection to enhance accuracy. These include OpenAI’s o3 series and the massively successful DeepSeek-R1 from rival Chinese lab DeepSeek, an offshoot of Hong Kong quantitative analysis firm High-Flyer Capital Management.
A new report from web traffic analytics and research firm SimilarWeb found that since the launch of R1 back in January 2024, DeepSeek has rocketed up the charts to become the most-visited AI model-providing website behind OpenAI.
QwQ-32B, Alibaba’s latest iteration, builds on these advancements by integrating RL and structured self-questioning, positioning it as a serious competitor in the growing field of reasoning-focused AI.
The context length of the new model has been extended to 131,000 tokens, as well — similar to the 128,000 of OpenAI’s models and many others, though Google Gemini 2.0’s context remains superior at 2 million tokens. (Recall context refers to the number of tokens that the LLM can input/output in a single interaction, with higher token count meaning more information. 131,000 tokens is equivalent to around a 300-page book.
Tomi Engdahl says:
Todd Bishop / GeekWire:
Microsoft unveils AI agents Sales Agent and Sales Chat that connect to Dynamics 365 business apps and Salesforce, available in public preview from May 2025
Microsoft unveils AI agents for sales, striking back at Salesforce
https://www.geekwire.com/2025/microsoft-unveils-ai-agents-for-sales-striking-back-at-salesforce/
Microsoft announced two AI agents for sales that double as a competitive response to Salesforce in an area where both companies are placing big bets.
Sales Agent and Sales Chat, unveiled Wednesday morning, are designed to work in conjunction with Microsoft’s own Dynamics 365 business applications and with Salesforce, whose CEO, Marc Benioff, has criticized Microsoft’s AI initiatives while rolling out Salesforce’s competing Agentforce platform.
The company also introduced a new program intended, in part, to help businesses “migrate off legacy CRM vendors,” without citing Salesforce by name in that case.
Tomi Engdahl says:
Aisha Malik / TechCrunch:
Google rolls out an experimental AI Mode in Google Search, designed to let users ask complex, multi-part questions, to Google One AI Premium subscribers
Google Search’s new ‘AI Mode’ lets users ask complex, multi-part questions
https://techcrunch.com/2025/03/05/google-searchs-new-ai-mode-lets-users-ask-complex-multi-part-questions/
Google is launching a new “AI Mode” experimental feature in Search that looks to take on popular services like Perplexity AI and OpenAI’s ChatGPT Search. The tech giant announced on Wednesday that the new mode is designed to allow users to ask complex, multi-part questions and follow-ups to dig deeper on a topic directly within Google Search.
AI Mode is rolling out to Google One AI Premium subscribers starting this week and is accessible via Search Labs, Google’s experimental arm.
Tomi Engdahl says:
This $500/mo AI Agent can code anything, just watch
https://www.youtube.com/watch?v=_N9N9A5Jxzg
Tomi Engdahl says:
Claude Code Tutorial: THE BEST AI AGENT FOR CODING?
https://www.youtube.com/watch?v=U_Y023jPRUo
6 Mar 2025
In this video, you’ll learn how to download, install, and set up Claude Code on your computer and use it to build web apps, mobile apps, games, or even system software.
How does Claude 3.7 Sonnet + Claude Code perform? Well, let’s find out in this video.
Tomi Engdahl says:
Industrialize your software development with agents
https://sourcegraph.com/agents?utm_source=google&utm_medium=cpc&utm_campaign=22170467922&utm_term=ai%20agents&gad_source=1&gclid=EAIaIQobChMI2ausqsb3iwMVx2CRBR3IAR0KEAAYAyAAEgL8_fD_BwE
Agents automate repetitive, soul-crushing tasks so developers can do what they do best – create and innovate.
Less repetitive tasks, more innovation
Let your devs focus on creativity and innovation while automating repetitive or complex tasks with AI.
Code Review Agent
EAP
Aids devs performing code review with rule-based analysis to identify issues, ensuring quality and accuracy.
Code Migration Agent
Coming Soon
Handle large-scale code migrations and updates across your entire codebase with precision and consistency.
Testing Agent
Coming Soon
Create comprehensive test suites automatically, maintaining high code coverage without the manual effort.
Documentation Agent
Coming Soon
Keep documentation up to date with your codebase, generating clear, accurate updates as your code evolves.
Troubleshoot Agent
Coming Soon
Resolve incidents faster, with the most knowledgeable people in the room and a quick understanding of possible causes.
Notify Agent
Coming Soon
Proactively alert teams about code patterns, security issues, and optimization opportunities across repositories.
Tomi Engdahl says:
Understanding Agentic AI
Kickstart your journey with AI Agents with our crash course.
https://learn.agentacademy.ai/course/understanding-agentic-ai?gad_source=1&gclid=EAIaIQobChMI2ausqsb3iwMVx2CRBR3IAR0KEAAYAiAAEgLpI_D_BwE
Tomi Engdahl says:
Can AI write secure code?
https://snyk.io/blog/security-risks-coding-with-ai/?utm_medium=paid-search&utm_source=google&utm_campaign=nb_ba_ai-awareness&utm_content=blog-risk&utm_term=ai%20that%20writes%20code%20for%20you&campaign_id=20758483196&ad_group_id=155007460986&ad_id=680107488652&match_type=p&target=kwd-1678664374499&gad_source=1&gclid=EAIaIQobChMI2ausqsb3iwMVx2CRBR3IAR0KEAAYASAAEgKYNPD_BwE
Privacy and IP risks of using AI tools for coding
Concerns around ChatGPT and its privacy risks when being used with internal company data have been prevalent amongst consumers and professionals since it was launched late last year.
A recent Cyberhaven report showed that 3.1% of workers have posted confidential information into Chat-GPT, showing the importance of creating policies governing the internal usage of AI tools. Samsung recently had to issue an internal warning about AI usage to their employees after sensitive source code and meeting notes were input to Chat-GPT, this data is now in the hands of Open-AI as training data, and it’s unclear if it can be retrieved.
AI tools enhancing cybersecurity
It’s not all doom and gloom for security professionals. While AI technology has some downsides and privacy related concerns, it’s also giving more tools to security teams to help them deal with emerging threats.
OpenAI red teams successfully used GPT-4 for vulnerability discovery and exploitation, as well as social engineering, which will allow red teams to find and report new vulnerabilities.
Security companies are continuing to find new ways to integrate AI into their existing products. We recently announced the new Auto-Fix feature, leveraging hybrid-AI technology to recommend vulnerability fixes, generated by AI, and validated for security by the Snyk Code engine.
Application security risks of coding using AI
While ChatGPT can help users to write code, it generally only works with smaller pieces of code at a time. So if it is being used to produce a large amount of code, developers can potentially open themselves up to risks as the software does not factor in interfile or multi-level issues. More often than not, AI does not even understand these cases and cannot solve the related issues.
Code generation products are only as good as the data that they’re trained on. It’s almost impossible to have 100% bug or vulnerability-free code, so code generation tools will often include vulnerable code in their suggestions. This is even more concerning when you consider this statistic shared by Microsoft — 40% of the code they’re (Developers) checking in is now AI-generated and unmodified. This is a big concern for AppSec teams, as organizations need to ensure that their software is as secure as possible.
Github’s Copilot AI coding tool is trained on code from publicly available sources, including code in public repositories on GitHub, so it builds suggestions that are similar to existing code. If the training set includes insecure code, then the suggestions may also introduce some typical vulnerabilities. A researcher at Invicti tested this by building a Python, and a PHP app with Copilot, then checking both applications for included vulnerabilities, finding issues such as XSS, SQL injection, and session fixation vulnerabilities.
Tomi Engdahl says:
15 Best AI Coding Assistant Tools in 2025
https://www.qodo.ai/blog/best-ai-coding-assistant-tools/
AI-Powered Development Assistants:
Qodo
Codeium
AskCodi
Code Intelligence & Completion:
Github Copilot
Tabnine
IntelliCode
Security & Analysis:
DeepCode AI
Codiga
Amazon CodeWhisperer
Cross-Language & Translation:
CodeT5
Figstack
CodeGeeX
Educational & Learning Tools:
Replit
OpenAI Codex
SourceGraph Cody
Tomi Engdahl says:
https://www.reddit.com/r/ChatGPTCoding/comments/1h3h9n7/ai_coding_and_agents_which_is_best/
Anyone knows a place that compares them and maybe even break it down per model or use cases?
(Edit: Something like artificialanalysis.ai but for AI IDEs comparing different use cases.)
So far there’s:
Cursor
Windsurf
Copilot
Cline
Aider
Amazon Q
Gemini Code Assist
HF Code Autocomplete
… anything else worth mentioning?