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.
833 Comments
Tomi Engdahl says:
Out of hundreds of large companies surveyed around the world, 77% also said they were planning to reskill and upskill their existing workers between 2025-2030 to better work alongside AI, according to findings published in the WEF’s Future of Jobs Report.
But, unlike the previous, 2023 edition, this year’s report did not say that most technologies, including AI, were expected to be “a net positive” for job numbers.
41% of companies worldwide plan to reduce workforces by 2030 due to AI
https://edition.cnn.com/2025/01/08/business/ai-job-losses-by-2030-intl/index.html?fbclid=IwY2xjawIbAs5leHRuA2FlbQIxMQABHQ6cAV58ZK6nzqti4II6Sz4XrCBF2aLZnPed_CYqK1NptWrh35nHrnxCmA_aem_Ft0IqnKmqrNuH3T5QvfvPA
London
CNN
—
Artificial intelligence is coming for your job: 41% of employers intend to downsize their workforce as AI automates certain tasks, a World Economic Forum survey showed Wednesday.
Out of hundreds of large companies surveyed around the world, 77% also said they were planning to reskill and upskill their existing workers between 2025-2030 to better work alongside AI, according to findings published in the WEF’s Future of Jobs Report. But, unlike the previous, 2023 edition, this year’s report did not say that most technologies, including AI, were expected to be “a net positive” for job numbers.
“Advances in AI and renewable energy are reshaping the (labor) market — driving an increase in demand for many technology or specialist roles while driving a decline for others, such as graphic designers,” the WEF said in a press release ahead of its annual meeting in Davos later this month.
Writing in the wide-ranging report, Saadia Zahidi, the forum’s managing director, highlighted the role of generative AI in reshaping industries and tasks across all sectors. The technology can create original text, images and other content in response to prompts from users.
Postal service clerks, executive secretaries and payroll clerks are among jobs that employers expect to experience the fastest decline in numbers in coming years, whether due to the spread of AI or other trends.
“The presence of both graphic designers and legal secretaries just outside the top 10 fastest-declining job roles, a first-time prediction not seen in previous editions of the Future of Jobs Report, may illustrate GenAI’s increasing capacity to perform knowledge work,” the report said.
Conversely, AI skills are increasingly in demand. Close to 70% of companies are planning to hire new workers with skills to design AI tools and enhancements, and 62% intend to recruit more people with skills to better work alongside AI, according to the latest survey, conducted last year.
Striking an optimistic note, the report said the primary impact of technologies such as generative AI on jobs might lie in their potential for “augmenting” human skills through “human-machine collaboration,” rather than in outright replacement, “particularly given the continued importance of human-centered skills.”
Tomi Engdahl says:
Many Americans say artificial intelligence tools improve their daily lives, according to a new study by AI company Listening.
3 in 5 Americans Say AI Improves Their Lives: Here’s Where Most of Them Live
The most common reasons for using AI are writing, editing, and online search, according to a study from The Listening App, which found a lot of ChatGPT fans in the Pacific Northwest.
https://uk.pcmag.com/ai/156681/3-in-5-americans-say-ai-improves-their-lives-heres-where-most-of-them-live
Many Americans say artificial intelligence tools improve their daily lives, according to a new study by AI company Listening.
Nearly three in five respondents indicated that AI has improved the quality of their daily lives, and one in six say they are dependent on it “in some way.”
There are a couple of caveats to the data to keep in mind. The survey company did not mention how many people it polled, only that it “surveyed Americans in every US state.” PCMag reached out for more information and will update this story if we hear back. The company also has an incentive to promote the technology, as it sells an AI-powered app for students and researchers.
Still, its findings are roughly in line with what we’d expect and show some applicable daily uses for AI that are worth experimenting with at the very least.
ChatGPT is, unsurprisingly, the most popular app, with 80% of respondents reporting usage. Google Translate takes the second spot (45%), followed by Google Gemini (33%). Other popular tools include Canva, Grammarly, Microsoft Copilot, and Dall-E.
The most common reasons for using AI are writing and editing, as well as online search, which roughly 62% of correspondents listed as their top purposes. After that, it’s summarizing text (43%), brainstorming (39%), and generative art (32%).
Of those who are using AI, half say it helps them at work. The majority (60%) are using AI at least once a week, and a third of respondents say their use of AI tools increased in the past year.
Tomi Engdahl says:
With DeepSeek Hot on Its Heels, OpenAI Teases GPT-4.5, GPT-5 Launch
In a new roadmap, Sam Altman suggests we can expect GPT-4.5 in weeks and GPT-5 in months. OpenAI will also do away with its ‘model picker’ in favor of ‘unified intelligence.’
https://uk.pcmag.com/ai/156679/with-deepseek-hot-on-its-heels-openai-teases-gpt-45-gpt-5-launch
OpenAI is teasing big upgrades to ChatGPT with its GPT-4.5 model and GPT-5.
CEO Sam Altman today tweeted a roadmap for both AI models, a few weeks after China’s DeepSeek caught the AI world off guard with its powerful and low-cost model. (OpenAI has perhaps ironically complained that DeepSeek trained using OpenAI’s models.) Altman didn’t talk about the exact capabilities of GPT-4.5 or 5, but he said they’ll arrive in “weeks / months.”
The other major announcement is that OpenAI plans to unify its AI models, meaning users won’t have to select which GPT to run on the ChatGPT interface. The company currently offers a wide variety of models, including GPT-4o, 4o mini, o1 and o1 mini, and GPT-4 Turbo, which provide trade-offs in performance, reasoning abilities, and compute requirements.
It looks like OpenAI is trying to simplify the catalog. “We want AI to ‘just work’ for you,” Altman tweeted. “We realize how complicated our model and product offerings have gotten. We hate the model picker as much as you do and want to return to magic unified intelligence.”
Before that happens, OpenAI plans to release GPT-4.5, “the model we called Orion internally, as our last non-chain-of-thought model,” Altman says.
“After that, a top goal for us is to unify o-series models and GPT-series models by creating systems that can use all our tools, know when to think for a long time or not, and generally be useful for a very wide range of tasks,” Altman adds.
On the upside, Altman suggests GPT-5 won’t be restricted to paid users. “The free tier of ChatGPT will get unlimited chat access to GPT-5 at the standard intelligence setting (!!), subject to abuse thresholds,” he says. With a Plus or Pro subscription, you get “a higher level of intelligence” that incorporates voice, canvas, search, deep research, and more.
Tomi Engdahl says:
Google has signed a memorandum of understanding with Poland about speeding up the adoption of Artificial Intelligence, CEO Sundar Pichai said on Thursday.
Google says it forms AI partnership with Poland
https://www.reuters.com/technology/artificial-intelligence/google-says-it-forms-ai-partnership-with-poland-2025-02-13/?utm_campaign=trueAnthem%3A+Trending+Content&utm_medium=trueAnthem&utm_source=facebook&fbclid=IwZXh0bgNhZW0CMTEAAR2a60eQHBbLIBUBI32_i_DDRc25wi7aLuA_bioX3OeI4D7kST74W1n4-tM_aem_AMoWaLw95SjFLnMcJ6Qmsw
Tomi Engdahl says:
Virgin Money flusters chatbot, but just try living in Scunthorpe
Feedback learns of the online assistant at finance firm Virgin Money shocked at the use of its own company name, and recalls glorious past mishaps when language filters took it too far
https://www.newscientist.com/article/mg26535302-500-virgin-money-flusters-chatbot-but-just-try-living-in-scunthorpe/?utm_term=Autofeed&utm_campaign=echobox&utm_medium=social&utm_source=Facebook&fbclid=IwZXh0bgNhZW0CMTEAAR0MhnCoY82VZEEQLuuYcPAi4p8PXQoAfSr7mlos0iClSAe9YuGPv3nlODI_aem_YQ-sK13IzFB_7xd5OlAYHQ#Echobox=1739447487
Tomi Engdahl says:
AI is stirring up conversations and concerns everywhere. Many are wondering: Is my job secure? Can I use AI if I am not very tech-savvy?
Everything is changing so quickly; what will the world look like 3 years from now? These questions are becoming increasingly common as AI continues to develop and impact nearly every facet of our lives, both personally and professionally.
In fact, the pace of AI’s advancement is so rapid that even Bill Gates has suggested that only three types of jobs might be completely safe from replacement by AI.
Energy related jobs.
Biology related position.
And professional who design ai tools themselves.
So does that mean humans job is in danger? Artificial Intelligence will change the job market like any new technology has in the past. Some jobs will become redundant but it will also give birth to new jobs, we just don’t know what it will look like yet but one thing is for sure, AI will reshape the world employment in the years to come.
https://www.facebook.com/share/p/15mXLeiDMC/
Tomi Engdahl says:
06/02/2025 – Jean-Michel Jarre: “If they are precisely paid and protected, creators should not be afraid of AI”
Artificial intelligence can be a formidable tool for artists, provided that the regulatory framework allows the protection of intellectual property, warns the composer on the occasion of the AI action week, which starts on February 6 in Paris.
https://www.lefigaro.fr/vox/culture/jean-michel-jarre-s-ils-sont-justement-remuneres-et-proteges-les-createurs-ne-devront-pas-avoir-peur-de-l-ia-20250206
Tomi Engdahl says:
Why AI Usage May Degrade Human Cognition And Blunt Critical Thinking Skills
https://hackaday.com/2025/02/13/why-ai-usage-may-degrade-human-cognition-and-blunt-critical-thinking-skills/
Any statement regarding the potential benefits and/or hazards of AI tends to be automatically very divisive and controversial as the world tries to figure out what the technology means to them, and how to make the most money off it in the process. Either meaning Artificial Inference or Artificial Intelligence depending on who you ask, AI has seen itself used mostly as a way to ‘assist’ people.
In a recent paper published by researchers at Microsoft and Carnegie Mellon University (CMU) the findings from a survey are however that the effect is mostly negative. The general conclusion is that by forcing people to rely on external tools for basic tasks, they become less capable and prepared of doing such things themselves, should the need arise.
Tomi Engdahl says:
https://www.uusiteknologia.fi/2025/02/14/tutkijat-pureutuvat-autonomisten-ratkaisujen-eettisiin-haasteisiin/
Tomi Engdahl says:
Artificial Intelligence
DeepSeek Exposes Major Cybersecurity Blind Spot
Millions of uninformed users have flocked to DeepSeek and share personal information without considering security or privacy risks.
https://www.securityweek.com/deepseek-exposes-major-cybersecurity-blind-spot/
The buzzword of this month is DeepSeek. The emergence of this Chinese AI company, which reportedly developed its R1 chatbot at a fraction of the cost of competitors like OpenAI’s ChatGPT and Google’s Gemini, sent ripples through the U.S. tech stock market and sparked discussions on AI infrastructure costs and competitiveness. However, a more alarming issue emerged, as millions of uninformed users, including government employees, flocked to DeepSeek’s website, registering and sharing personal information without considering security or privacy risks. This lack of caution is common when it comes to social media and Internet apps. Despite security awareness training, users often drop their guard when engaging with these platforms, making them prime targets for cyber adversaries. Attackers exploit the data harvested from these applications to lay the foundation for sophisticated cyberattacks.
Many users are blinded by the immediate benefits of new platforms like DeepSeek, disregarding privacy policies upon signing up. If they did review these policies, they would realize DeepSeek collects a vast array of data—far surpassing even TikTok, a known national security concern. In addition to user input (text, audio, chat history, and uploaded files), DeepSeek automatically collects IP addresses, unique device identifiers, device model and operating system, keystroke patterns or rhythms, system language, as well as user IDs and cookies. Much of this data is unnecessary for AI query purposes, raising significant privacy concerns.
Tomi Engdahl says:
Uncategorized
Google Hub in Poland to Develop AI Use in Energy and Cybersecurity Sectors
Poland is being targeted by various forms of cyberattacks and sabotage actions believed to be sponsored by Russia.
https://www.securityweek.com/google-hub-in-poland-to-develop-ai-use-in-energy-and-cybersecurity-sectors/
Google and Poland on Thursday signed a memorandum for developing the use of artificial intelligence in the country’s energy, cybersecurity and other sectors.
Poland has largely cut its previous dependence on Russian fuels, and is being targeted by various forms of cyberattacks and sabotage actions believed to be sponsored by Russia.
Google and Alphabet Chief Executive Officer Sundar Pichai and Poland’s Prime Minister Donald Tusk met to discuss expanding Google operations in Poland that were launched in 2014. Pichai said that Poland is Google’s biggest engineering hub with more than 2,000 employees.
Apart from getting AI involved in the strategic sectors in Poland, Google is also dedicating $5 million over the next five years to expand training programs and increase digital skills among young Poles. It is to reach about 1 million young Poles, Pichai said.
Tusk said the plans will increase Poland’s security and will contribute to the country’s economic development. Earlier this week he said that Google and Microsoft will be among international businesses that will invest some 650 billion zlotys ($ 160 billion) in Poland in 2025.
Tomi Engdahl says:
Paayal Zaveri / Bloomberg:
Eudia, which provides in-house legal teams with AI agents and other tools for common tasks, exits stealth with an up to $105M Series A led by General Catalyst
https://www.bloomberg.com/news/articles/2025-02-13/legal-ai-startup-eudia-gets-105-million-to-grow-go-shopping
Tomi Engdahl says:
Reuters:
Baidu says it plans to make its next-generation AI model, Ernie 4.5, open-source starting June 30, marking a major shift in strategy as competition heats up
https://www.reuters.com/technology/artificial-intelligence/baidu-make-ernie-ai-model-open-source-end-june-2025-02-14/
Tomi Engdahl says:
GitHub Copilot in VS Code
https://code.visualstudio.com/docs/copilot/overview
GitHub Copilot is your AI pair programmer tool in Visual Studio Code. Get code suggestions as you type or use Inline Chat in the editor to write code faster. Add new functionality or resolve bugs across your project with Copilot Edits, or use natural language in chat to explore your codebase.
Select Use AI Features with Copilot for Free… from the Copilot menu in the VS Code title bar
Sign in with your GitHub account to use Copilot
Tip
You can get started for free with the Copilot Free plan if you don’t yet have a Copilot subscription. Follow the steps in the setup guide to set up a Copilot subscription.
Discover the key features of Copilot in VS Code with our Copilot Quickstart
Getting started with GitHub Copilot in VS Code
https://code.visualstudio.com/docs/copilot/getting-started
This tutorial walks you through the key features of GitHub Copilot in Visual Studio Code. Learn how to get started with the GitHub Copilot extension to get AI-powered code suggestions in the editor, use chat conversations to refactor your code, and fix code errors with smart actions.
Tomi Engdahl says:
Tutorial: Generate AI-powered code annotations by using the Language Model API
In this tutorial, You’ll learn how to create a VS Code extension to build an AI-powered Code Tutor. You use the Language Model (LM) API to generate suggestions to improve your code and take advantage of the VS Code extension APIs to integrate it seamlessly in the editor as inline annotations that the user can hover over for more information. After you complete this tutorial, you will know how to implement custom AI features in VS Code.
https://code.visualstudio.com/api/extension-guides/language-model-tutorial
Tomi Engdahl says:
Free AI in VS Code (Better Than GitHub Copilot)
https://www.youtube.com/watch?v=hpbUfBSzykk
Tomi Engdahl says:
Microsoft’s AI Toolkit for VS Code: This FREE Extension BEATS CURSOR! (w/ FREE GPT-4O!)
https://www.youtube.com/watch?v=Z8pCrC-NQ0U
Tomi Engdahl says:
Microsoft’s AI Toolkit – VS Code: FREE AI Extention BEATS Cursor! (GPT-4o + Sonnet 3.5 FREE!
https://www.youtube.com/watch?v=JYikeQ4ySes
Tomi Engdahl says:
https://code.visualstudio.com/docs/copilot/setup
Tomi Engdahl says:
https://code.visualstudio.com/docs/copilot/copilot-edits
Copilot Edits
Use Copilot Edits to start an AI-powered code editing session and iterate quickly on code changes across multiple files by using natural language. Copilot Edits applies the edits directly in the editor, where you can review them in-place, with the full context of the surrounding code.
Copilot Edits can function in two modes:
Edit mode: select which files to edit, provide the relevant context and prompt, and Copilot will suggest code edits.
Agent mode (preview): let Copilot autonomously plan the tasks and relevant files that are needed to implement the request. Copilot will apply code edits and suggest terminal commands, and will continuously iterate to resolve any issues that arise.
Note
Agent mode is currently in preview and is only available in VS Code Insiders. Provide feedback and report issues in the Copilot repository.
Tomi Engdahl says:
GenAI-tekoälystä tehoa ohjelmistokehitykseen – uusi hanke
https://www.uusiteknologia.fi/2025/02/14/genai-tekoalysta-tehoa-ohjelmistokehitykseen-uusi-hanke/
Generatiivisen tekoälyn GenAI-työkalujen mahdollisuudesta parantaa ohjelmistokehittäjien tuottavuutta on keskusteltu viime vuodet laajasti, mutta konkreettinen näyttö on vielä vähäistä. Nyt teknologiayhtiö Reaktor on käynnistänyt Helsingin yliopiston kanssa hankkeen, jossa tutkitaan GenAI-työkalujen vaikutuksia laajasti oikeissa yrityksissä ja ohjelmistokehitysympäristöissä. Hankkeeseen haetaan nyt muitakin yrityksiä.
Reaktorin ja Helsingin yliopiston tutkimus kartoittaa, millaisia hyötyjä ja haasteita tekoälyä hyödyntävät työkalut tuovat erilaisiin ohjelmistokehitystiimeihin, joissa voi olla sekä kokeneita että vasta uraansa aloittavia kehittäjiä. Tutkimuksen tavoitteena on arvioida, miten tekoälyyn pohjautuvat työkalut vaikuttavat tuottavuuteen mutta myös työn laatuun ja kehittäjäkokemukseen.
Reaktorin ja Helsingin yliopiston tutkimuksessa arvioidaan GenAI-työkalujen, kuten GitHub Copilotin ja ChatGPT:n, vaikutuksia ohjelmistokehityksen tuottavuuteen tunnustettuja mittareita, kuten DORA-mittaristoa, käyttämällä. Tutkimus keskittyy yrityksiin, joiden ohjelmistokehitystiimit eivät ole vielä ottaneet käyttöön tekoälytyökaluja laajasti. Tämä avaa ainutlaatuisen mahdollisuuden mitata työkalujen vaikutuksia todellisessa ohjelmistokehitysympäristössä.
Unveiling the true impact of genAI in software development
https://www.reaktor.com/impact-of-genai-in-software-development
Tomi Engdahl says:
What new things is AI doing? How is GPT-5 coming along? What will be the impact of Trump’s $100-500 billion AI initiative? What new aptitude test may serve as an AI tripwire? Get answers to these and more at https://worksnewage.blogspot.com/2025/02/artificial-intelligence-progress.html.
Tomi Engdahl says:
Financial Times:
The European Commission’s digital chief Henna Virkkunen says the EU is easing tech rules to boost AI investments, not due to pressure from US Big Tech or Trump
EU scales back rules to boost AI investment, says digital chief
https://www.ft.com/content/fde53886-4295-4066-a704-b8cf5f388800
Tomi Engdahl says:
Mark Gurman / Bloomberg:
Sources: Apple plans to launch its AI features in China as early as May 2025, using its own on-device models with Alibaba software to censor or filter AI output — – Company to use own models, with help from Alibaba and Baidu — Work includes system to censor or block content for government
Apple Plans to Overhaul China iPhones With AI by Middle of Year
https://www.bloomberg.com/news/articles/2025-02-14/apple-plans-to-overhaul-china-iphones-with-ai-by-middle-of-year
Company to use own models, with help from Alibaba and Baidu
Work includes system to censor or block content for government
Tomi Engdahl says:
Abner Li / 9to5Google:
Google’s Gemini can now recall and “reference past chats for more tailored help”; the feature is rolling out in English for Advanced subscribers — Google today is rolling out a new Gemini app feature for Advanced subscribers that can recall and “reference past chats for more tailored help.”
Gemini Advanced can now recall and use your past chats
https://9to5google.com/2025/02/13/gemini-advanced-recall/
Google today is rolling out a new Gemini app feature for Advanced subscribers that can recall and “reference past chats for more tailored help.”
New Gemini conversations no longer have to start from scratch, or require you to find (scroll through) previous chats in the Recent side panel or equivalent list on mobile, which can get cluttered with simple assistant commands.
When starting a new chat, you can have Gemini summarize previous ones, ask a follow-up question about “something you’ve already discussed,” and “build on top of previous conversations or projects you’ve already started.”
Responses “may indicate when [Gemini] uses your past chats in sources and related content.”
This builds on the Saved info feature that Google introduced in November to set response preferences, like not wanting meat recipes because you’re a vegetarian or needing code in JavaScript.
This new recall capability is rolling out now in English for Gemini Advanced members that subscribed via Google One AI Premium. It’s available on the web and mobile app.
Support for more languages and Google Workspace Business/Enterprise will be available in the coming weeks.
Tomi Engdahl says:
Kendra Barnett / Adweek:
Reddit says content licensing deals with Google and OpenAI account for ~10% of its revenue, but its primary focus is on ad revenue, which grew 60% YoY in Q4 — Despite this new revenue, Reddit remains focused on its growing advertising business, its COO says
AI Licensing Deals With Google and OpenAI Make Up 10% of Reddit’s Revenue
Despite this new revenue, Reddit remains focused on its growing advertising business, its COO says
https://www.adweek.com/social-marketing/ai-licensing-deals-with-google-and-openai-make-up-10-of-reddits-revenue/
Tomi Engdahl says:
Ingrid Lunden / TechCrunch:
The UK renames its AI Safety Institute to AI Security Institute in a pivot to cybersecurity, and is exploring ways to use Anthropic’s Claude in public services
UK drops ‘safety’ from its AI body, now called AI Security Institute, inks MOU with Anthropic
https://techcrunch.com/2025/02/13/uk-drops-safety-from-its-ai-body-now-called-ai-security-institute-inks-mou-with-anthropic/
The U.K. government wants to make a hard pivot into boosting its economy and industry with AI, and as part of that, it’s pivoting an institution that it founded a little over a year ago for a very different purpose. Today the Department of Science, Industry and Technology announced that it would be renaming the AI Safety Institute to the “AI Security Institute.” (Same first letters: same URL.) With that, the body will shift from primarily exploring areas like existential risk and bias in large language models, to a focus on cybersecurity, specifically “strengthening protections against the risks AI poses to national security and crime.”
Alongside this, the government also announced a new partnership with Anthropic. No firm services were announced but the MOU indicates the two will “explore” using Anthropic’s AI assistant Claude in public services; and Anthropic will aim to contribute to work in scientific research and economic modeling. And at the AI Security Institute, it will provide tools to evaluate AI capabilities in the context of identifying security risks.
“AI has the potential to transform how governments serve their citizens,” Anthropic co-founder and CEO Dario Amodei said in a statement. “We look forward to exploring how Anthropic’s AI assistant Claude could help UK government agencies enhance public services, with the goal of discovering new ways to make vital information and services more efficient and accessible to UK residents.”
Tomi Engdahl says:
Stephanie Palazzolo / The Information:
Source: Anthropic has developed a hybrid AI model that combines traditional LLM capabilities with reasoning features and plans to release it in the coming weeks
https://www.theinformation.com/articles/anthropic-strikes-back
Tomi Engdahl says:
Ingrid Lunden / TechCrunch:
EnCharge AI, which claims its AI accelerators use 20x less energy to run workloads compared with other chips, raised a $100M+ Series B led by Tiger Global
EnCharge raises $100M+ to accelerate AI using analog chips
https://techcrunch.com/2025/02/13/encharge-raises-100m-to-accelerate-ai-using-analog-chips/
EnCharge AI, a semiconductor startup developing analog memory chips for AI applications, has raised more than $100 million in a Series B round led by Tiger Global to spur its next stage of growth.
The funding is significant partly because interest in AI is at an all-time high, but the high price of building and operating AI services continues to be a red flag. EnCharge, spun out from Princeton University, believes its analog memory chips — envisioned to be embedded in devices such as laptops, desktops, handsets, and wearables — will not only speed up AI processing, they’ll help bring the cost down as well.
Santa Clara-based EnCharge claims its AI accelerators use 20 times less energy to run workloads compared with other chips on the market, and expects to have the first of those chips on the market later this year.
EnCharge’s fundraise is notable because it comes at a time when the U.S. government has identified hardware and infrastructure (including chips) as two key areas where it wants to boost domestic innovation and products. If it’s successful in its execution, EnCharge could become a key part of that strategy.
https://www.enchargeai.com/
Tomi Engdahl says:
Kyle Wiggers / TechCrunch:
OpenAI removes “warning” messages in ChatGPT that indicated when content might violate its terms of service, to cut down on “gratuitous/unexplainable denials”
OpenAI removes certain content warnings from ChatGPT
https://techcrunch.com/2025/02/13/openai-removes-certain-content-warnings-from-chatgpt/
OpenAI says it has removed the “warning” messages in its AI-powered chatbot platform, ChatGPT, that indicated when content might violate its terms of service.
Laurentia Romaniuk, a member of OpenAI’s AI model behavior team, said in a post on X that the change was intended to cut down on “gratuitous/unexplainable denials.” Nick Turley, head of product for ChatGPT, said in a separate post that users should now be able to “use ChatGPT as [they] see fit” — so long as they comply with the law and don’t attempt to harm themselves or others.
“Excited to roll back many unnecessary warnings in the UI,” Turley added.
Tomi Engdahl says:
Amanda Silberling / TechCrunch:
YouTube updates Shorts to integrate Google DeepMind’s latest video model Veo 2, letting creators generate AI video clips to add to any of their Shorts
YouTube Shorts adds Veo 2 so creators can make GenAI videos
https://techcrunch.com/2025/02/13/youtube-shorts-adds-veo-2-so-creators-can-make-gen-ai-videos/
YouTube Shorts is integrating with Google DeepMind’s latest video model, Veo 2, allowing creators to generate AI video clips for their posts.
Veo 2 is Google’s response to Sora, OpenAI’s text-to-video generator. YouTube, owned by Google, already allowed creators to generate AI backgrounds for their Shorts with a text prompt through a feature called Dream Screen. But Veo 2 will allow creators to generate standalone video clips to add to any of their Shorts.
According to a blog post by YouTube Director of Product Dina Berrada, these AI tools will run faster than before.
“Veo 2 understands real-world physics and human movement better, making its output more detailed and realistic,” Berrada wrote. “You can even specify a style, lens, or cinematic effect, making Dream Screen an easy and fun way to express yourself.”
Tomi Engdahl says:
DeepSeek on jo kielletty monessa käytössä
https://etn.fi/index.php/13-news/17155-deepseek-on-jo-kielletty-monessa-kaeytoessae
Uusi tekoälysovellus DeepSeek on herättänyt laajaa keskustelua sekä sen tarjoamien mahdollisuuksien että tietoturvaongelmien vuoksi. Maailmanlaajuisesti DeepSeekiin liittyviä Google-hakuja tehdään jo 2,9 miljoonaa kertaa kuukaudessa, mutta samaan aikaan yhä useampi valtio ja organisaatio on päättänyt kieltää sen käytön, kertoo tekoälytyökaluja keihttävä AIRPM .
DeepSeek-R1 on tekoälypohjainen sovellus, joka julkaistiin tammikuussa 2025. Sen ydinominaisuus on kyky analysoida suuria ja monimutkaisia tietoaineistoja nopeasti ja tehokkaasti. Toisin kuin perinteiset hakukoneet, DeepSeek pyrkii ymmärtämään tiedon merkitystä ja kontekstia, mikä mahdollistaa tarkemmat ja käyttäjäkohtaiset hakutulokset.
Yksi merkittävimmistä huolenaiheista DeepSeekin käytössä on sen tietosuojakäytäntö. Sovellus kerää laajasti käyttäjätietoja, mukaan lukien näppäinpainallusten rytmit ja käyttäytymismallit, jotka saattavat säilyä järjestelmässä pysyvästi. Lisäksi DeepSeekin kumppanit, kuten mainostajat, jakavat tietoa käyttäjien toiminnasta myös sovelluksen ulkopuolella.
Huolta herättää myös se, että DeepSeek ei ole määritellyt tarkasti, kuinka pitkään käyttäjätietoja säilytetään tai miten ne suojataan luvattomalta käytöltä. Koska DeepSeek on kiinalainen yhtiö, se toimii Kiinan lainsäädännön alaisuudessa. Tämä tarkoittaa, että se voi sensuroida tiettyjä aiheita, jotka Kiinan hallitus määrittelee poliittisesti herkiksi. Tämä sensuurikäytäntö voi vaikuttaa sovelluksen tarjoaman tiedon puolueettomuuteen ja luotettavuuteen.
AIPRM:n perustaja Christoph C. Cemperin mukaan DeepSeekin tietosuojakäytännöt ovat herättäneet erityistä huolta. – Tämä on yksi syy siihen, miksi useat maat ovat jo ryhtyneet rajoittamaan sen käyttöä. Yhdysvalloissa on jopa esitetty lakiehdotusta, jonka mukaan DeepSeekin käyttö voisi johtaa sakkoihin tai vankeusrangaistukseen.
https://www.aiprm.com/
Tomi Engdahl says:
Use AI To Program BBC Micro:Bit Or Arduino
https://www.youtube.com/watch?v=NTaodZM-bFs
Tomi Engdahl says:
Face Detection in Scratch With Help of AI
https://www.youtube.com/watch?v=uJVfvysUwa0
Face Detection Games in Scratch with AI
https://www.youtube.com/watch?v=ynISkhphQWg
Tomi Engdahl says:
Basics Of Machine Learning With Teachable Machine
https://www.youtube.com/watch?v=sZJRw6lAcRQ
Welcome to our video series about Artificial Intelligence. Check out some practical exercises you can do with your students in primary or high school. These activities are designed for kids and youth from 10 to 18 years old as an introduction AI concepts and tools.
Explore the possibilities of AI in the classroom with our latest tutorial on the Teachable Machine app.
https://teachablemachine.withgoogle.com/
Teachable Machine Model in Scratch
https://www.youtube.com/watch?v=G7m_CPfaap4
Show Students How Machine Learning Works With Teachable Machine
https://www.youtube.com/watch?v=NY5-cco7TxA
With Teachable Machine, a project by Google, students use the camera or microphone on their device to train their computer to see or hear something and predict what it is. Advanced students can then export this model as code and use it for creative projects. Use the site to introduce machine learning to students, and have students start with the tutorial. Students can work in groups to determine what input (from the camera) should produce which outputs. Take the time to discuss what students learned after experimenting, and make connections to other machines like Amazon Alexa. Then, use the numerous extension materials such as interactive guides, examples of student experiments, and video explainers to motivate advanced learners or inspire a class that’s just beginning to learn about artificial intelligence. Learning doesn’t have to be limited to coding or computer science classes, however. Art or music classrooms could use Teachable Machine to create more expressive projects.
Tomi Engdahl says:
Voice-Activated micro:bit with Machine Learning
https://www.youtube.com/watch?v=fNSKWdIxh8o
Learn how to make the new BBC micro:bit voice activated!
Tomi Engdahl says:
Researchers Replicate OpenAI’s Hot New AI Tool in 24 Hours
OpenAI has a problem: each time it releases an advanced new AI, it’s getting copied almost instantly.
https://futurism.com/replicate-openai-deep-research-ai-tool-24-hours?fbclid=IwY2xjawIen0lleHRuA2FlbQIxMQABHShpIuMaUtChTQj-tUO3c-MuMMAhXjaE788wzRoW0VSRdqQpXwKKSCsNHg_aem_UOvFq-8Nzr22tSXYMbynyw
AI developer Hugging Face says it’s created an open-source AI research agent that can trade blows with OpenAI’s latest Deep Research feature — in just 24 hours.
The Sam Altman-led company released the agent, which “uses reasoning to synthesize large amounts of online information and complete multi-step research tasks for you,” over the weekend.
Simply put, Deep Research — the company technically doesn’t capitalize the name, but we’re just going to go ahead and do so because it looks bizarre not to — sits on top of an existing AI model to provide new functionality to the user. In practice, you can ask it to do things like generate a “competitive analysis on streaming platforms or a personalized report on the best commuter bike,” according to OpenAI, which could take “anywhere from five to 30 minutes.”
But it didn’t take long for Hugging Face researchers to come up with a worthy alternative.
“While powerful LLMs are now freely available in open-source, OpenAI didn’t disclose much about the agentic framework underlying Deep Research,” Hugging Face wrote in a Tuesday announcement. “So we decided to embark on a 24-hour mission to reproduce their results and open-source the needed framework along the way!”
The company created an “agent” framework” that writes actions in code instead, which it says immediately led to a major bump in performance.
Tomi Engdahl says:
It’s not perfect quite yet, it’s worth pointing out. Hugging Face’s Open Deep Research scored a 55.15 percent accuracy on a benchmark called General AI Assistants, while OpenAI’s version scored 67.36, leaving some room for improvement. (OpenAI’s version itself still has a lot of trouble distinguishing between “information from rumors,” greatly undercutting its current usefulness as a research analyst.)
But considering that Hugging Face, which has far fewer resources to work with than OpenAI, created its agent in a mere 24 hours, the challenge highlights just how replaceable OpenAI’s AI tools have become.
https://futurism.com/replicate-openai-deep-research-ai-tool-24-hours?fbclid=IwY2xjawIen0lleHRuA2FlbQIxMQABHShpIuMaUtChTQj-tUO3c-MuMMAhXjaE788wzRoW0VSRdqQpXwKKSCsNHg_aem_UOvFq-8Nzr22tSXYMbynyw
Tomi Engdahl says:
The exchangeability of AI models is an especially pertinent topic, considering the emergence of Chinese AI startup DeepSeek, which upended the entire tech sector with its extremely lean and efficient model called R1 last month. (Hugging Face’s open-R1 is an open source version of DeepSeek’s model).
DeepSeek also likely flexed the power of distillation, which is the strategy of creating “reasoning” capabilities by training an AI model on the output of another one.
https://futurism.com/replicate-openai-deep-research-ai-tool-24-hours?fbclid=IwY2xjawIen0lleHRuA2FlbQIxMQABHShpIuMaUtChTQj-tUO3c-MuMMAhXjaE788wzRoW0VSRdqQpXwKKSCsNHg_aem_UOvFq-8Nzr22tSXYMbynyw
Tomi Engdahl says:
Last year, Google debuted an image remixing tool called Whisk that was available to users in the U.S. On Tuesday, Google made the tool available in more than 100 countries.
There are plenty of image-generation tools that create images through text prompts. Google Whisk tries to make things easier by letting you upload three images for subject, scene and style, and remix them into a new creation powered by the Imagen 3 model.
Read more from Ivan Mehta on Google Whisk here: https://tcrn.ch/4gE43ME
#TechCrunch #technews #artificialintelligence #GenAI #Google
Tomi Engdahl says:
https://futurism.com/the-byte/alibaba-china-ai-beaten-openai-deepseek?fbclid=IwY2xjawIevQRleHRuA2FlbQIxMQABHSOdo66mOTaMSfHB4nb9LWzNVxR8UE_ToFwBA08PbTYwYvI66xdG0FWW2A_aem_y41a3fazzxWuxOhQFHD1xw
Major Chinese tech company Alibaba claims that the latest version of its Qwen AI model has beaten out DeepSeek’s V3, the model that flipped Silicon Valley on its head earlier this week by edging out OpenAI.
In a statement posted to the Chinese social media platform WeChat, Alibaba said that its Qwen 2.5-Max “demonstrated world-leading model performance in mainstream authoritative benchmarks” and “comprehensively surpasses” OpenAI’s GPT-4o, Anthropic’s Claude 3.5 Sonnet, and Meta’s Llama 3.1.
Tomi Engdahl says:
Tekoälyuutiset: OpenAI:n GPT-5 vihdoin julki
Tällä viikolla: OpenAI julkaisi GPT-5 aikataulun, Apple tutkii robottien kehittämistä, Antrophicin raportti tekoälyn vaikutuksista työelämään, OpenAI:n Super Bowl-mainos, DeepSeekin iOS-sovelluksen ongelmat ja Hugging Facen AI-sovelluskauppa
https://www.sijoittaja.fi/430306/tekoalyuutiset-openain-gpt-5-vihdoin-julki/
OpenAI julkaisi GPT-5 aikataulun
OpenAI:n toimitusjohtaja Sam Altman julkaisi X:ssä aikataulun liittyen pitkään huhuttuihin GPT-4.5 ja GPT-5 malleihin littyen.
OpenAI julkaisee seuraavaksi (viikkojen sisällä) GPT-4.5:n (koodinimeltä Orion). Itse pitkään huhuttu GPT-5, joka julkaistaan kuukausien sisällä, tulee yhdistämään kaikki yhtiön teknologiat mukaan lukien o3-mallin (sitä ei siis julkaista erikseen). Ilmaiskäyttäjät saavat rajoittamattoman pääsyn GPT-5:n perustasoon. Plus-tilaajat saavat käyttöönsä kehittyneemmän version ja Pro-tilaajat vielä edistyneemmän version, johon sisältyy ääni, piirtäminen, haku ja syvätutkimus (deep research).
Yhtiön tavoitteena on yksinkertaistaa tuotevalikoimaa ja luoda yhtenäinen tekoäly, joka osaa automaattisesti hyödyntää oikeita työkaluja tilanteen mukaan.
Tomi Engdahl says:
InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU
https://huggingface.co/papers/2502.08910
In modern large language models (LLMs), handling very long context lengths presents significant challenges as it causes slower inference speeds and increased memory costs. Additionally, most existing pre-trained LLMs fail to generalize beyond their original training sequence lengths. To enable efficient and practical long-context utilization, we introduce InfiniteHiP, a novel, and practical LLM inference framework that accelerates processing by dynamically eliminating irrelevant context tokens through a modular hierarchical token pruning algorithm. Our method also allows generalization to longer sequences by selectively applying various RoPE adjustment methods according to the internal attention patterns within LLMs. Furthermore, we offload the key-value cache to host memory during inference, significantly reducing GPU memory pressure. As a result, InfiniteHiP enables the processing of up to 3 million tokens on a single L40s 48GB GPU — 3x larger — without any permanent loss of context information. Our framework achieves an 18.95x speedup in attention decoding for a 1 million token context without requiring additional training. We implement our method in the SGLang framework and demonstrate its effectiveness and practicality through extensive evaluations.
Tomi Engdahl says:
PIN AI launches mobile app letting you make your own personalized, private DeepSeek or Llama-powered AI model on your phone
https://venturebeat.com/ai/pin-ai-launches-mobile-app-letting-you-make-your-own-personalized-private-deepseek-or-llama-powered-ai-model-on-your-phone/
Tomi Engdahl says:
Until now: A new startup PIN AI (not to be confused with the poorly reviewed hardware device the AI Pin by Humane) has emerged from stealth to launch its first mobile app, which lets a user select an underlying open-source AI model that runs directly on their smartphone (iOS/Apple iPhone and Google Android supported) and remains private and totally customized to their preferences.
https://venturebeat.com/ai/pin-ai-launches-mobile-app-letting-you-make-your-own-personalized-private-deepseek-or-llama-powered-ai-model-on-your-phone/
Tomi Engdahl says:
https://huggingface.co/papers/2502.08524
Tomi Engdahl says:
Zyphra Introduces the Beta Release of Zonos: A Highly Expressive TTS Model with High Fidelity Voice Cloning
https://www.marktechpost.com/2025/02/10/zyphra-introduces-the-beta-release-of-zonos-a-highly-expressive-tts-model-with-high-fidelity-voice-cloning/
Tomi Engdahl says:
https://www.nextplatform.com/2025/02/13/the-hidden-cost-of-compromise-why-hpc-still-demands-precision/
Tomi Engdahl says:
Kuuman it-trendin väitetään tarjoavan hyvinvointialueille jopa 3 miljardin hyödyt – ”Osa toimenpiteistä toteutettavissa muutamassa kuukaudessa”
Anna Helakallio14.2.202512:13|päivitetty14.2.202512:18AutomaatioDigitalous
Kaikki selvitykseen osallistuneet johtoryhmät uskovat, että hyperautomaatio mahdollistaisi 20 prosentin tuottavuuden parannuksen jokaisella palvelualueella.
https://www.tivi.fi/uutiset/kuuman-it-trendin-vaitetaan-tarjoavan-hyvinvointialueille-jopa-3-miljardin-hyodyt-osa-toimenpiteista-toteutettavissa-muutamassa-kuukaudessa/e6ff8434-3601-4f50-b8bd-3f7666a76f4f
Tomi Engdahl says:
Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model
https://www.nomic.ai/blog/posts/nomic-embed-text-v2