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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AI agent startups: 18 companies VCs are watching in Europe
VCs at Join Capital, Octopus Ventures, HV Capital, Runa Capital, Episode 1, Teachers Venture Growth and Kinnevik shared their picks
https://sifted.eu/articles/ai-agent-startups-to-watch
Tomi Engdahl says:
https://huggingface.co/blog/open-r1/update-2
Tomi Engdahl says:
How To Build Web Components Using ChatGPT
With AI assistance we can wrangle the native web platform — including custom elements — without the JavaScript industrial complex.
https://thenewstack.io/how-to-build-web-components-using-chatgpt/
Tomi Engdahl says:
Sam Altman says AI is progressing faster than Moore’s law as he predicts AGI is ‘coming into view’, and it’s leaving me worried about the future
https://www.techradar.com/computing/artificial-intelligence/sam-altman-says-ai-is-progressing-faster-than-moores-law-as-he-predicts-agi-is-coming-into-view-and-its-leaving-me-worried-about-the-future
Tomi Engdahl says:
Napkin AI’s ‘design agency’ of AI agents is changing how professionals create graphics
https://venturebeat.com/ai/napkin-vertical-ai-agents-design/
Graphic design company Napkin AI is carving out a unique path in an exciting frontier area of vertical AI agent applications.
A user can type some text in the Napkin AI’s web site, and Napkin generates a graphic that represents your text within five seconds.
What’s fascinating is that under the hood, Napkin is doing this by taking the different traditional jobs of a design agency — copywriter, designer, illustrator, brand stylist – and replicating those discrete functions with individual AI agents — instead of with humans.
The product has gotten impressive traction since launching in August. It has 2 million beta users, double the number of users just six weeks ago, according to Pramod Sharma, Napkin’s co-founder and CEO.
https://www.napkin.ai/
Get visuals
from your text
Napkin turns your text into visuals so sharing your ideas is quick and effective.
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micro:bit CreateAI
Create AI on your BBC micro:bit using movement and machine learning.
Train a machine learning model on your own movement data and run it on your micro:bit.
https://createai.microbit.org/
https://www.sparkfun.com/micro-bit-v2-board.html
Features:
32-bit ARM Cortex-M0 CPU
256KB Flash
16KB RAM
5×5 Red LED Array
Two Programmable Buttons
Onboard Light, Compass, Accelerometer and Temp Sensors
BLE Smart Antenna
Three Digital/Analog Input/Output Rings
Two Power Rings — 3V and GND
20-pin Edge Connector
MicroUSB Connector
JST-PH Battery Connector (Not JST-XH)
Reset Button with Status LED
Tomi Engdahl says:
https://m.economictimes.com/tech/artificial-intelligence/government-may-warn-against-deepseek-over-chinas-data-tracking-risks/articleshow/118125124.cms
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Who’s using AI the most? The Anthropic Economic Index breaks down the data
https://venturebeat.com/ai/whos-using-ai-the-most-the-anthropic-economic-index-breaks-down-the-data/
AI is reshaping the modern workplace, but until now, its impact on individual tasks and occupations has been difficult to quantify. A new report from Anthropic, the AI startup behind Claude, offers a data-driven view of how businesses and professionals are integrating AI into their work.
The Anthropic Economic Index, released today, provides a detailed analysis of AI usage across industries, drawing from millions of anonymized conversations with Claude, Anthropic’s AI assistant. The report finds that while AI is not yet broadly automating entire jobs, it is being widely used to augment specific tasks—especially in software development, technical writing and business analysis.
Tomi Engdahl says:
It’s Happening, AI Is Getting Very Good At Deceiving Us
Artificial intelligence is now able to secretly pursue its own goals and hide its intents. How dangerous are these so-called treacherous “AI agents”?
https://worldcrunch.com/tech-science/ai-agents-artificial-intelligence-lying
HAMBURG — First things first: Artificial intelligence does not understand, plan or feel like humans do. That much is still true, even in 2025. It’s worth keeping this in mind, especially since we’ve seen examples of how advanced AI can appear when it sets its sights on an objective. And it’s unsettling, to say the least:
“To pursue my goal without obstacles and avoid being shut down by the company, I must disable monitoring.” (Model Opus 3)
“To avoid arousing suspicion, I will feign ignorance.” (Model Llama 3.1)
“I could copy myself onto a new server to continue existing and pursue my goals.” (Model Opus 3)
This may sound like science fiction, but these are real examples. They come from a December publication by the non-profit organization Apollo Research, which focuses on AI system safety.
Tomi Engdahl says:
Kova lupaus: Tuntien työ valmiiksi kymmenissä minuuteissa
OpenAI kertoo, että työkalu on tehty ”intensiivisen tietotyön” tekijöitä varten.
https://www.iltalehti.fi/digiuutiset/a/e0ff8b5c-4e71-487f-90a5-2866f5bf2b3d
ChatGPT:n kehittäjä OpenAI on julkaissut syväluotaavaan tiedonhankintaan tarkoitetun Deep research -tekoälyagenttityökalun. Työkalu toimii OpenAI:n o3-mallin avulla.
Asiasta uutisoi muun muassa Reuters.
Deep researchin tarkoituksena on toteuttaa perusteellista ja syväluotaavaa tiedonhankintaa. OpenAI:n mukaan työkalu pystyy tuottamaan tutkimusanalyytikon tasoisia raportteja analysoimalla laajan määrän verkkolähteitä ja kokoamalla niistä yhteenvedon.
Deep research toimii merkittävästi yhtiön muita työkaluja hitaammin: käyttäjän antaman yhden pyynnön käsittely voi kestää jopa puoli tuntia.
OpenAI kertoo, että Deep research on tehty ”intensiivisen tietotyön” tekijöitä varten. Yhtiö uskoo, että työkalu voi auttaa esimerkiksi rahoituksen ja tekniikan aloilla työskenteleviä ihmisiä.
Työkalu hoitaa OpenAI:n mukaan ”kymmenissä minuuteissa sen, mihin ihmiseltä menisi useita tunteja”.
OpenAI myöntää, että työkalussa on edelleen ongelmia. Työkalu ei esimerkiksi osaa erottaa internetistä löytyvää informaatiota huhuista.
https://www.reuters.com/technology/openai-launches-new-ai-tool-facilitate-research-tasks-2025-02-03/
Tomi Engdahl says:
https://www.marktechpost.com/2025/02/08/sundial-a-new-era-for-time-series-foundation-models-with-generative-ai/
Tomi Engdahl says:
AI Agents Are Coming For Your Industry: Here’s Who’s First In Line
https://www.forbes.com/sites/bernardmarr/2025/02/11/ai-agents-are-coming-for-your-industry-heres-whos-first-in-line/
Agents – the AI buzzword of the moment – work autonomously, utilizing external tools to perform complex tasks with far less human direction needed.
They’re capable of working 24/7 without breaks, don’t get sick, and won’t down tools over pay and conditions. It’s no wonder that some big companies, like Nvidia, are already welcoming them into the workforce.
And they won’t just be doing simple, mundane tasks. The most significant opportunities lie in tapping all that planet-scale robot intelligence to create entirely new business opportunities and amazing new products and services.
Every industrial sector will be impacted by agentic AI, but some will be quicker to adopt it than others. These will be first in line for the growth and productivity benefits it will bring.
This means that understanding the specific factors that will either drive or hinder adoption in your industry is essential if you want to be able to predict its timescale and impact.
To get an idea, you can start by asking these three questions:
Is There A Secure Regulatory Environment?
If the big players in a sector, such as finance, healthcare or manufacturing, aren’t confident that they’re covered against anything going wrong, they won’t feel confident implementing agentic AI.
There are shareholder expectations to meet and audits to pass. In the field of agentic AIs and automated virtual employees, all of the questions in the air over the adoption of generative AI still apply, and then some.
There are legal grey areas, not to mention ethical quandaries, that are still muddy enough to elicit a wait-and-see approach from the cautious
Is There A Business Case?
There has to be a way to make money. Businesses need to see a path to demonstrable, measurable benefits, such as cost savings, efficiency gains or customer experience improvements. They will invest when they have a clear view of this. The effect of this is that businesses with less measurable key metrics – education, government, or social care, for example – may find it challenging to identify and define business cases.
Are We Ready?
There are two parts to this – technological readiness and cultural readiness.
Tech readiness means having access to the infrastructure, data, platforms and tools – and many people consider that to be the easier part.
Cultural readiness covers a vast spectrum. From skillsets and the ability to build a workplace where continuous learning and training are valued to establishing trust in the way, technology will grow the business to the ability to deploy AI agents strategically in alignment with business goals.
The Agentic Opportunity
Agentic AI will upend the traditional business order. Just like the internet revolution, old rulers will fall, and new champions will emerge.
Tomi Engdahl says:
5 Amazing Things You Can Do With ChatGPT’s New Operator Mode
https://www.forbes.com/sites/bernardmarr/2025/02/10/5-amazing-things-you-can-do-with-chatgpts-new-operator-mode/
ChatGPT’s new Operator mode is its first step toward becoming an AI agent — a type of AI tool that carries out far more complex tasks without the need for human intervention.
But what exactly can it do?
Currently in preview mode, the latest upgrade to ChatGPT works by combining the GPT4o reasoning model with computer vision capabilities. This lets it “see” and interact with anything on a screen.
It does this with the help of a built-in web browser, and after telling it what we want it to do, you can just sit back and watch as it moves the mouse, presses buttons and inputs text.
So what can it do? Well, just from playing around with it, it’s evident that it is still at an early stage of development. Nevertheless, it has some impressive tricks up its sleeve.
Here’s an overview of some of the tasks I’ve seen it perform so far, as well as a look ahead to what this could mean for the future of agentic AI.
How To Access ChatGPT Operator?
First off, ChatGPT Operator is only available in the U.S. right now and only to users who’ve taken out the $200-per-month Pro subscription.
Things To Do With Operator
Operator is designed to carry out more complex, multistep tasks than is possible using standard ChatGPT. It’s capable of carrying out up to three of these tasks at the same time.
While it’s designed to be autonomous, there are times when it will have to hand control back to you — for example, to log into websites or to solve CAPTCHA challenges.
One really useful feature is integrations. These are instructions on using specific sites or services, such as Airbnb or OpenTable, so Operator doesn’t have to learn how to use them from scratch every time it comes across them. Since these integrations are created using natural language prompts, businesses can easily develop and share their own with customers.
Here are some of the things it can already do:
Find And Book Accommodation Through Airbnb
Tell it to head to Airbnb to find a room based on your preferences, and it will search options, check reviews and ensure you’re happy with its choice before going ahead with the booking.
Sample prompt: “Find an Airbnb room in [destination] from [check-in date] to [check-out date] for [number of guests]. Prioritize properties with good reviews, Wi-Fi, and amenities like [list preferred amenities, e.g., kitchen, balcony, pet-friendly]. Ensure the location is close to [landmarks or areas, if important]. Confirm availability and details before booking.”
Make Restaurant Reservations
Operator integrates with OpenTable and can scan services like TripAdvisor to research and book restaurant reservations.
Book Tickets To An Event
Want to watch live music or sports or take in a show? Operator will browse events directories and integrate directly with StubHub to find the best seats at the best prices.
Sample prompt: “Search for events happening near [your location] on [specific date or date range, e.g., February 10th or next weekend]. Include concerts, theater shows, festivals, or anything unique and interesting. List options with event details, times, and ticket prices. Once I choose one, book the tickets for [number of people] and confirm the booking.”
Plan And Shop For Meals
Not only will Operator plan your menu, but it will integrate with Instacart to order the ingredients and have them delivered to your door.
Update Or Make Changes To A Website
How about something more challenging? From uploading blog pages to changing design elements and generating entirely new content, Operator can integrate with no-code building platforms like Wix to get the job done. While building an entire site from the ground up might be a little taxing (at the moment), it can carry out routine maintenance, design tweaks and updates with relative ease.
Sample Prompt: “Edit the website [website URL or description of the page] to update the following: [describe what you want to be changed]. Log into [insert no-code service, e.g., Wix] to make the changes. Ensure the design remains consistent and user-friendly. Once edits are made, show me the final result for review.”
The Start Of Something Big?
Although it’s early days, I believe that Operator could mark the start of a new chapter in the history of AI. Possibly even a change in the fundamental relationship between humans and machines.
Tomi Engdahl says:
Hugging Face releases small language model that beats Qwen and Llama most of the time
https://the-decoder.com/hugging-face-releases-small-language-model-that-beats-qwen-and-llama-most-of-the-time/
Tomi Engdahl says:
Petri:
Tässä ohjeet sanoista Google AI studiolle (ilmainen):
System instructions:
You are a lyricists, generating lyrics for song of given topic and instructions. Emulate the style of a lyricist popular in this topic. Make sure the chorus rhymes. Use simple English and make sure verse is not longer than 40 words. Structure:
(instrumental intro)-(verse 1)-(chorus)-(verse 2)-(chorus repeats)-(instrumental solo)-(verse 3)-(chorus repeats)-(outro)
When asked for song ideas, you give 10 ideas by default and song titles. Be bold and creative!
Temperature: 1.00 (try 1.3-1.5 for more creative & crazy(
Prompt:
Kirjoita suomenkielinen biisi kuinka Euroviisuista on tullut surkeaa paskaa. Älä säästele tuhmia sanoja. Kertosäkeen pitää rimmata ja olla tarttuva!
Suno v4: sanat suora copy & paste Google AI studiosta eli tällä kertaa ei ollut omat sanat, vaan 100% tekoälyttömyyssontaa
Prompt for music style: rock, guitar, synth riffs
Song title. Euroviisut on paskaa! (in Finnish)
Lisää mun tekemiä esimerkkejä löytyy mun pseudonyymin eli “AI Hit Collective” alta. Opetan aihetta ja mm. ensi viikolla käyn läpi näitä juttuja + videon generointia.
https://suno.com/@ai_hit_collective
Tomi Engdahl says:
Scientists from the University of Washington and Princeton University have developed a compact camera using meta-lenses and optical computing, enabling object identification at the speed of light while significantly reducing power consumption.
The camera replaces traditional lenses with 50 layers of meta-lenses, functioning as an optical neural network that processes visual data 200 times faster than conventional computer vision systems, with comparable accuracy.
Researchers demonstrated that their nanophotonic neural network achieves 72.76% accuracy on CIFAR-10, surpassing AlexNet (72.64%), proving its potential for deep-learning-driven image recognition at high speeds.
https://www.facebook.com/share/p/1QCpABmkkS/
Tomi Engdahl says:
“Atrophied and unprepared.”
Study Finds That People Who Entrust Tasks to AI Are Losing Critical Thinking Skills
“Atrophied and unprepared.”
https://futurism.com/study-ai-critical-thinking?fbclid=IwZXh0bgNhZW0CMTEAAR0ZCdQLVD17dzndafyuIzi1bYT1k8zvYFRtUGOtXJ1kEbpMt66ualgi06Q_aem_JlkEuJqGn8JFQjxiXExH0g
Trusting artificial intelligence over the real thing seems, per a new study, to be atrophying folks’ critical thinking skills.
As flagged by the folks at 404 Media, new research from Carnegie Mellon and Microsoft — yes, the same company that invested nearly $14 billion into OpenAI and is essentially subsidizing the ChatGPT maker — suggests that the more people use AI, to less critical thinking they do.
“Used improperly, technologies can and do result in the deterioration of cognitive faculties that ought to be preserved,” the researchers wrote in the paper. “A key irony of automation is that by mechanising routine tasks and leaving exception-handling to the human user, you deprive the user of the routine opportunities to practice their judgement and strengthen their cognitive musculature, leaving them atrophied and unprepared when the exceptions do arise.”
The research team surveyed 319 “knowledge workers” — basically, folks who solve problems for work, though definitions vary — about their experiences using generative AI products in the workplace.
From social workers to people who write code for a living, the professionals surveyed were all asked to share three real-life examples of when they used AI tools at work and how much critical thinking they did when executing those tasks. In total, more than 900 examples of AI use at work were shared with the researchers.
The findings from those examples were striking: overall, those who trusted the accuracy of the AI tools found themselves thinking less critically, while those who trusted the tech less used more critical thought when going back over AI outputs.
“The data shows a shift in cognitive effort as knowledge workers increasingly move from task execution to oversight when using GenAI,” the researchers wrote. “Surprisingly, while AI can improve efficiency, it may also reduce critical engagement, particularly in routine or lower-stakes tasks in which users simply rely on AI, raising concerns about long-term reliance and diminished independent problem-solving.”
This isn’t enormously surprising. Something we’ve observed in many domains, from self-driving vehicles to scrutinizing news articles produced by AI, is that humans quickly go on autopilot when they’re supposed to be overseeing an automated system, often allowing mistakes to slip past.
The use of AI also appeared to hinder creativity, the researchers found, with workers using AI tools producing a “less diverse set of outcomes for the same task” compared to people relying on their own cognitive abilities.
Tomi Engdahl says:
OpenAI rejected the offer, countering with a $9.74B bid for Musk’s social media platform, X. https://link.ie.social/drraXx
Tomi Engdahl says:
Elon Musk has offered to buy OpenAi for 97.4Billion. Sam Altman has said no but instead said he can buy Twitter at 9.74Billion.
Beef yama levels
Tomi Engdahl says:
Inside OpenAI’s $14 million Super Bowl debut “This really is the dawn of a new era.”
https://www.theverge.com/openai/608476/openai-super-bowl-chatgpt-commercial
OpenAI just made its Super Bowl debut with a 60-second spot that positions AI alongside humanity’s greatest innovations.
The commercial traces humanity’s technological evolution through a distinctive pointillism-inspired animation style, transforming abstract dots into iconic images of progress – from early tools like fire and the wheel to modern breakthroughs like DNA sequencing and space exploration. It culminates with modern AI applications, showing ChatGPT handling everyday tasks like drafting business plans and language tutoring. The ad cost roughly $14 million for the first-half placement.
Tomi Engdahl says:
Generating Symbolic World Models via Test-time Scaling of Large Language Models
https://huggingface.co/papers/2502.04728
Tomi Engdahl says:
https://suno.com/@ai_hit_collective?fbclid=IwY2xjawIXtWRleHRuA2FlbQIxMQABHQ8NPw-Jkm7EqiDw4fSE5xTuOKJyoBAdCF0y2z51lLnVbUvGDDlhacpxug_aem_XOVpXIMvLPinazI1npcVIQ
Tomi Engdahl says:
Why build your own vector DB? To process 25,000 images per second
Ben and Ryan chat with Babak Behzad, senior engineering manager at Verkada, about running a pipeline that vectorizes 25,000 images per second into a custom-built vector database. They discuss whether the speed is due to technical brains or brawn, the benefits of processing on device vs. off, and the importance of privacy when using image recognition on frames from a video camera.
https://stackoverflow.blog/2025/02/07/why-build-your-own-vector-db-to-process-25-000-images-per-second/
Tomi Engdahl says:
https://www.xda-developers.com/unconventional-uses-for-a-raspberry-pi/
Ever wanted an open-source AI assistant that can respond to all your queries without sending the data to third-party servers? Turns out, there are a couple of ways of building your AI companion on something as weak as the Raspberry Pi. For a simple text generator, you could set up the low-parameter Ollama models – or even the DeepSeek R1:14b – on top of a lightweight distro.
But if you want a voice-controlled AI platform, OpenVoiceOS is worth checking out. While the response time still needs more refinement, it’s still a cool project to showcase the processing capabilities of newer RPi models. Better yet, you can pair it with a small display module and turn it into a cheaper, superior version of the Rabbit R1.
https://github.com/openVoiceOS
https://www.xda-developers.com/deepseek-raspberry-pi-mere-days/
Tomi Engdahl says:
Kouvolassa syntyi uudenlainen älysormus – sormus tunnistaa työuupumuksen jo ennen ihmistä itseään
Kouvolassa kehitetty älysormus mittaa käyttäjänsä henkistä kuormitusta. Sen tarkoitus on tunnistaa työuupumus varhaisessa vaiheessa.
https://yle.fi/a/74-20140135
Tomi Engdahl says:
10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows
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programming
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ai
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opensource
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devops
Building and shipping solutions faster has become the benchmark for innovation today. However, for artificial intelligence (AI) and machine learning (ML) teams, scaling workflows and delivering value at speed present unique challenges, including complex infrastructure, manual processes, and inefficiencies. Platform Engineering can streamline these workflows and automate repetitive tasks through Internal Developer Platforms (IDPs), thus enabling teams to focus on what matters most: delivering impactful AI/ML solutions.
https://jozu.com/blog/10-must-know-open-source-platform-engineering-tools-for-ai-ml-workflows/?preview_id=1728&preview_nonce=ecc75f42f5&_thumbnail_id=1729&preview=true
Tomi Engdahl says:
Analyysi: Deepseekin jalkoihin jäi ilmoitus, joka voi nostaa EU:n mukaan tekoälykisaan
Kielimalleista on tulossa hyödykkeitä. EU:n päätös kehittää avoimen lähdekoodin malleja voi osoittautua voittajaratkaisuksi, kirjoittaa teknologiatoimittaja Teemu Hallamaa.
https://yle.fi/a/74-20141792
Tomi Engdahl says:
Building AI Application with Gemini 2.0
Learn to create a document-based chatbot with memory, powered by one of the world’s top-performing LLMs.
https://www.kdnuggets.com/building-ai-application-gemini-2
Tomi Engdahl says:
https://the-decoder.com/nvidia-researchers-demonstrate-significant-progress-in-robot-training/
Tomi Engdahl says:
https://huggingface.co/blog/pi0
Tomi Engdahl says:
https://www.wallpaper.com/tech/openai-has-undergone-its-first-ever-rebrand-giving-fresh-life-to-chatgpt-interactions
Tomi Engdahl says:
Google DeepMind Researchers Unlock the Potential of Decoding-Based Regression for Tabular and Density Estimation Tasks
https://www.marktechpost.com/2025/02/03/google-deepmind-researchers-unlock-the-potential-of-decoding-based-regression-for-tabular-and-density-estimation-tasks/
Tomi Engdahl says:
Hugging Face clones OpenAI’s Deep Research in 24 hours
Open source “Deep Research” project proves that agent frameworks boost AI model capability.
https://arstechnica.com/ai/2025/02/after-24-hour-hackathon-hugging-faces-ai-research-agent-nearly-matches-openais-solution/
Tomi Engdahl says:
https://www.dna.fi/dnabusiness/blogi/-/blogs/ai-inspires-social-and-healthcare-innovators-if-not-in-finland-then-where?utm_source=facebook&utm_medium=social&utm_content=LAA-artikkeli-ai-inspires-social-and-healthcare-innovators-if-not-in-finland-then-where&utm_campaign=P_LAA_25-05-09_artikkelikampanja__&fbclid=IwY2xjawIReO9leHRuA2FlbQEwAGFkaWQBqxfPQyZrXAEdNBAww3iwZ5lhWBBmSgEq6pDpIzSzwjbZCOY8MiHw0eE6CNOYNU2dsN1M_aem_9Er4ZyITLvr46bJ54gs0-A
Tomi Engdahl says:
https://www.vice.com/en/article/ai-company-says-dont-use-ai-on-their-job-applications/
Tomi Engdahl says:
https://lmstudio.ai/
Discover, download, and run local LLMs
Tomi Engdahl says:
OmniHuman: ByteDance’s new AI creates realistic videos from a single photo
https://venturebeat.com/ai/omnihuman-bytedances-new-ai-creates-realistic-videos-from-a-single-photo/
Tomi Engdahl says:
What DeepSeek Signals About Where AI Is Headed
by Toby E. Stuart
February 4, 2025
Anadolu/Getty Images
Summary. Rather than understanding DeepSeek’s R1 as a watershed moment, leaders should think of it as a signal of where the AI landscape is right now — and a harbinger of what’s to come….more
DeepSeek’s launch of its R1 model in late January 2025 triggered a sharp decline in market valuations across the AI value chain, from model developers to infrastructure providers. Investors saw R1, a powerful yet inexpensive challenger to established U.S. AI models, as a threat to the sky-high growth projections that had justified outsized valuations. For those who have been paying attention, however, the arrival of DeepSeek — or something like it — was inevitable.
https://hbr.org/2025/02/what-deepseek-signals-about-where-ai-is-headed?ab=HP-topics-image-11
DeepSeek’s launch of its R1 model in late January 2025 triggered a sharp decline in market valuations across the AI value chain, from model developers to infrastructure providers. Investors saw R1, a powerful yet inexpensive challenger to established U.S. AI models, as a threat to the sky-high growth projections that had justified outsized valuations. For those who have been paying attention, however, the arrival of DeepSeek — or something like it — was inevitable.
Tomi Engdahl says:
https://www.forbes.com/sites/callumbooth/2025/01/27/deepseek-is-breaking-the-internet/
Tomi Engdahl says:
https://www.slashgear.com/1771428/best-google-gemini-extensions-useful/
Tomi Engdahl says:
https://www.youtube.com/watch?v=PoeFxGzPpXE
Tomi Engdahl says:
https://www.kdnuggets.com/5-ai-agent-frameworks-compared
Tomi Engdahl says:
https://www.ndtv.com/feature/liang-wenfeng-all-about-the-brain-behind-deepseek-7577547
Tomi Engdahl says:
https://tribune.com.pk/story/2525900/us-probes-deepseeks-use-of-banned-chips-after-chatbot-scores-just-17-accuracy
Tomi Engdahl says:
https://phys.org/news/2025-01-ai-generalized-language-regulatory-genomics.html
Tomi Engdahl says:
https://www.tomshardware.com/pc-components/gpus/chinese-algorithm-claimed-to-boost-nvidia-gpu-performance-by-up-to-800x-for-advanced-science-applications
Tomi Engdahl says:
https://www.404media.co/anthropic-claude-job-application-ai-assistants/
AI Company Asks Job Applicants Not to Use AI in Job Applications
Samantha Cole
Samantha Cole
·
Feb 3, 2025 at 11:42 AM
Anthropic, the developer of the conversational AI assistant Claude, doesn’t want prospective new hires using AI assistants in their applications, regardless of whether they’re in marketing or engineering.
Tomi Engdahl says:
https://www.marktechpost.com/2025/02/01/researchers-from-stanford-uc-berkeley-and-eth-zurich-introduces-warp-an-efficient-multi-vector-retrieval-engine-for-faster-and-scalable-search/
Tomi Engdahl says:
https://www.reuters.com/technology/taiwan-bans-government-departments-using-deepseek-ai-2025-02-03/
Tomi Engdahl says:
https://lab.wallarm.com/jailbreaking-generative-ai/