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.
2,254 Comments
Tomi Engdahl says:
Bloomberg:
Nvidia unveils projects to bolster AI infrastructure across Europe, including expanding its Mistral partnership to use local AI computing, at VivaTech in Paris
Nvidia CEO Sees Tenfold Boost to Europe’s AI Computing Power
https://www.bloomberg.com/news/articles/2025-06-11/nvidia-teams-up-with-startup-mistral-as-part-of-european-ai-push
Tomi Engdahl says:
Reuters:
Sources: CoreWeave will provide computing capacity to Google as part of Google’s cloud deal with OpenAI; Google will also supply its own compute to OpenAI
CoreWeave to offer compute capacity in Google’s new cloud deal with OpenAI, sources say
https://www.reuters.com/business/coreweave-offer-compute-capacity-googles-new-cloud-deal-with-openai-sources-say-2025-06-11/
Coreweave to provide compute capacity for Google’s cloud units
Coreweave’s deal with Google helps revenue diversification
Google’s cloud unit to benefit from OpenAI’s growth
Tomi Engdahl says:
Reed Albergotti / Semafor:
Memo: Google appoints a new chief AI architect, DeepMind CTO Koray Kavukcuoglu, who will coordinate future AI-powered product development
Exclusive / Google names new chief AI architect to advance developments
https://www.semafor.com/article/06/11/2025/google-names-new-chief-ai-architect-to-advance-developments
Tomi Engdahl says:
Ryan Browne / CNBC:
Meta launches V-JEPA 2, an open-source AI “world model” to understand and predict 3D environments and object movements, to help robotics and self-driving cars
Meta launches AI ‘world model’ to advance robotics, self-driving cars
https://www.cnbc.com/2025/06/11/meta-launches-ai-world-model-to-advance-robotics-self-driving-cars.html
Meta unveiled a new AI model called V-JEPA 2 that it says can better understand the physical world.
V-JEPA 2 is designed to understand movements of objects to enhance the technology of machines such as delivery robots and self-driving cars.
World models have attracted a lot of buzz within the AI community recently as researchers look beyond large language models.
Tomi Engdahl says:
Ben Hylak / Latent.Space:
OpenAI’s o3-pro is much smarter than o3 and amazing at using tools, but the model requires a lot of context to run well and without enough it tends to overthink
God is hungry for Context: First thoughts on o3 pro
OpenAI dropped o3 pricing 80% today and launched o3-pro. Ben Hylak of Raindrop.ai returns with the world’s first early review.
https://www.latent.space/p/o3-pro
Tomi Engdahl says:
David Pierce / The Verge:
The Browser Company launches Dia, a macOS browser in beta for Arc users based around an AI chat sidebar that can access tabs, history, and logged-in sites
The Dia browser is a big bet on the web — and an even bigger bet on AI
https://www.theverge.com/web/685232/dia-browser-ai-arc
First, The Browser Company tried to overhaul the web browser. Now it aims to change the way we think about computers.
Tomi Engdahl says:
MIT Technology Review:
A look at Amsterdam’s failed experiment to create a fair welfare AI system that would evaluate every welfare applicant in the city for potential fraud
Artificial intelligence
Inside Amsterdam’s high-stakes experiment to create fair welfare AI
The Dutch city thought it could break a decade-long trend of implementing discriminatory algorithms. Its failure raises the question: can these programs ever be fair?
https://www.technologyreview.com/2025/06/11/1118233/amsterdam-fair-welfare-ai-discriminatory-algorithms-failure/
Tomi Engdahl says:
Chris Dolmetsch / Bloomberg:
The US prosecution of quant trader Richard Ho could define how quant algorithms can become stolen property and have a major impact on Wall Street’s talent war
Quant Firm’s $1 Billion Code Is Focus of Rare Criminal Case
https://www.bloomberg.com/news/features/2025-06-08/wall-street-trade-secrets-1-billion-code-star-in-theft-case?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc0OTcwMzQ3MywiZXhwIjoxNzUwMzA4MjczLCJhcnRpY2xlSWQiOiJTWEsyQ0VEV1JHRzAwMCIsImJjb25uZWN0SWQiOiIwNEFGQkMxQkYyMTA0NUVEODg3MzQxQkQwQzIyNzRBMCJ9.mCRCNl9eVN6bSUmarc91NiJFNyRsDyKwGvGRpdvaZCE&leadSource=uverify%20wall
The prosecution of a trader could define how a quant algorithm can become stolen property and have a huge impact on Wall Street’s talent war.
Tomi Engdahl says:
Monet ChatGPT:llä tehdyt markkinointitekstit ovat kuin toistensa kopioita.
Saat kuitenkin helposti uusia ideoita, kun kerrot tekoälylle promptissasi yrityksestä, sen palveluista tai tuotteista ja asiakkaista.
Hopkinsin Mikko Piippo kertoo artikkelissaan, miten teet ChatGPT:stä itsellesi erinomaisen ideointikumppanin.
ChatGPT markkinoinnin ideageneraattorina: näin saat parempia ideoita
https://www.hopkins.fi/artikkelit/chatgpt-markkinoinnin-ideageneraattorina-nain-saat-parempia-ideoita/?utm_campaign=artikkelit-sitoutuminen&utm_source=facebook&utm_medium=paidsocial&utm_content=artikkkeli-chatgpt-ideageneraattorina%20-%20Copy&fbclid=IwZXh0bgNhZW0BMABhZGlkAashCRcO-tsBHqgF0_g_x468AXzALnjZKzYaVafF5XNV_xAWNx3w9zCpXLT5hYzNGEH7JLfC_aem_WFfq5Ye5fAFfhg1uTp1L6g&utm_id=120226134105770075&utm_term=120226137190000075
Tomi Engdahl says:
The AI Arms Race: Deepfake Generation vs. Detection
AI-generated voice deepfakes have crossed the uncanny valley, fueling a surge in fraud that outpaces traditional security measures. Detection technology is racing to keep up.
https://www.securityweek.com/deepfakes-and-the-ai-battle-between-generation-and-detection/
Tomi Engdahl says:
AMD:n uusi tekoälyprosessori nostaa riman korkealle
https://etn.fi/index.php/13-news/17640-amd-n-uusi-tekoaelyprosessori-nostaa-riman-korkealle
AMD on julkistanut uuden sukupolven Instinct MI350 -sarjan grafiikkaprosessorit, jotka on suunniteltu erityisesti generatiivisen tekoälyn ja huipputason laskennan vaatimuksiin. Uutuudet lupaavat jopa nelinkertaista laskentatehoa ja merkittäviä parannuksia energiatehokkuudessa aiempiin sukupolviin verrattuna.
Uusi MI350-sarja koostuu Instinct MI350X- ja MI355X-prosessoreista, jotka on suunniteltu skaalautumaan suuriin tekoälymalleihin sekä koulutus- että inferenssivaiheessa. AMD:n mukaan MI355X tarjoaa jopa 40 prosenttia enemmän tuottavuutta dollaria kohden verrattuna kilpailijoihin, mikä voi merkittävästi alentaa suurten mallien ajokustannuksia.
Prosessorit ovat osa AMD:n avointa, skaalautuvaa AI-alustaa, joka yhdistää yhtiön CPU-, GPU- ja verkkoteknologiat yhdeksi kokonaisuudeksi. Julkistuksen yhteydessä AMD kertoi myös yhteistyöstä suurten toimijoiden kuten OpenAI:n, Metan, Microsoftin ja Oraclen kanssa, jotka käyttävät Instinct-piirejä tuotantotason tekoälysovelluksissaan.
Instinct MI350 -sarjan edeltäjät ovat jo käytössä esimerkiksi Euroopan tehokkaimman supertietokoneen titteliä pitkään hallussan pitäneessä suomalaisessa LUMI-järjestelmässä. Tämä alleviivaa AMD:n teknologian merkitystä tutkimuksen ja tekoälyn kehityksen kärjessä.
Tomi Engdahl says:
Emma Roth / The Verge:
Betting platform Kalshi aired a fully AI-generated 30-second ad during the NBA Finals, reportedly made in 2-3 days with 300-400 generations using Google’s Veo 3
Here’s the $2,000 fully AI-generated ad that aired during the NBA Finals
It apparently took just days to make using Google’s new text-to-video generator, Veo 3.
https://www.theverge.com/news/686474/kalshi-ai-generated-ad-nba-finals-google-veo-3
Tomi Engdahl says:
Amanda Silberling / TechCrunch:
The public feed of the Meta AI app is filled with private and sensitive information, suggesting users might not be aware they are sharing their chats publicly — It sounds like the start of a 21st century horror film: Your browser history has been public all along, and you had no idea.
The Meta AI app is a privacy disaster
https://techcrunch.com/2025/06/12/the-meta-ai-app-is-a-privacy-disaster/
It sounds like the start of a 21st-century horror film: Your browser history has been public all along, and you had no idea. That’s basically what it feels like right now on the new stand-alone Meta AI app, where swathes of people are publishing their ostensibly private conversations with the chatbot.
When you ask the AI a question, you have the option of hitting a share button, which then directs you to a screen showing a preview of the post, which you can then publish. But some users appear blissfully unaware that they are sharing these text conversations, audio clips, and images publicly with the world.
When I woke up this morning, I did not expect to hear an audio recording of a man in a Southern accent asking, “Hey, Meta, why do some farts stink more than other farts?”
Flatulence-related inquiries are the least of Meta’s problems. On the Meta AI app, I have seen people ask for help with tax evasion, if their family members would be arrested for their proximity to white-collar crimes, or how to write a character reference letter for an employee facing legal troubles, with that person’s first and last name included. Others, like security expert Rachel Tobac, found examples of people’s home addresses and sensitive court details, among other private information.
It sounds like the start of a 21st-century horror film: Your browser history has been public all along, and you had no idea. That’s basically what it feels like right now on the new stand-alone Meta AI app, where swathes of people are publishing their ostensibly private conversations with the chatbot.
When you ask the AI a question, you have the option of hitting a share button, which then directs you to a screen showing a preview of the post, which you can then publish. But some users appear blissfully unaware that they are sharing these text conversations, audio clips, and images publicly with the world.
When I woke up this morning, I did not expect to hear an audio recording of a man in a Southern accent asking, “Hey, Meta, why do some farts stink more than other farts?”
Flatulence-related inquiries are the least of Meta’s problems. On the Meta AI app, I have seen people ask for help with tax evasion, if their family members would be arrested for their proximity to white-collar crimes, or how to write a character reference letter for an employee facing legal troubles, with that person’s first and last name included. Others, like security expert Rachel Tobac, found examples of people’s home addresses and sensitive court details, among other private information.
Meta launches a stand-alone AI app to compete with ChatGPT
https://techcrunch.com/2025/04/29/meta-launches-a-standalone-ai-app-to-compete-with-chatgpt/
After integrating Meta AI into WhatsApp, Instagram, Facebook, and Messenger, Meta is rolling out a stand-alone AI app. Unveiled at Meta’s LlamaCon event on Tuesday, this app allows users to access Meta AI in an app, similar to the ChatGPT app and other AI assistant apps.
To win over users, Meta is trying to leverage what makes it different from companies like OpenAI and Anthropic — Meta already has a sense of who you are, what you like, and who you hang out with based on years of data that you’ve likely shared on Facebook or Instagram.
Meta’s AI app can differentiate itself from existing AI assistants because it can “[draw] on information you’ve already chosen to share on Meta products,” the company said, such as your profile and the content you engage with. So far, these personalized responses will be available in the U.S. and Canada.
Tomi Engdahl says:
Bloomberg:
A senior Trump administration official projects that Huawei’s Ascend AI chip output will be at or below 200,000 for 2025, in a hearing with US lawmakers
US Says Export Controls to Keep Huawei AI Output Limited in 2025
https://www.bloomberg.com/news/articles/2025-06-12/us-says-huawei-s-2025-output-is-no-more-than-200-000-ai-chips
Tomi Engdahl says:
Jeremy Fuster / The Wrap:
SAG-AFTRA’s Interactive Media Agreement with game companies requires performers’ informed consent for all planned AI use on their voice, likeness, and movements — Full text of the tentative agreement will be released June 18 for a ratification vote period that ends July 9
SAG-AFTRA Video Game Deal Includes AI Consent Guardrails, Minimum Rates for Digital Replica Use
Full text of the tentative agreement will be released June 18 for a ratification vote period that ends July 9
https://www.thewrap.com/sag-aftra-video-game-deal-details/
Tomi Engdahl says:
New York Times:
Internal docs: Fidelity, TPG, Sequoia, and others are buying ~$250M worth of shares in xAI under a tender offer valuing it at $113B; Fidelity is purchasing $20M — Two dozen venture capital firms and other investors are investing in xAI, the artificial intelligence and social media company.
https://www.nytimes.com/2025/06/12/business/xai-elon-musk-investors.html
Tomi Engdahl says:
Savyata Mishra / Reuters:
Mattel partners with OpenAI to create AI-powered toys and games, with the first product expected in 2025, and integrates ChatGPT Enterprise in its business — Mattel (MAT.O) has teamed up with OpenAI to develop toys and games with artificial intelligence, and expects to launch …
Barbie-maker Mattel teams up with OpenAI, eyes first AI-powered product this year
https://www.reuters.com/business/retail-consumer/barbie-maker-mattel-teams-up-with-openai-eyes-first-ai-powered-product-this-year-2025-06-12/
June 12 (Reuters) – Mattel (MAT.O)
, opens new tab has teamed up with OpenAI to develop toys and games with artificial intelligence, and expects to launch its first AI-powered product later this year, the Barbie-maker said on Thursday.
The company, which also makes Hot Wheels and Uno cards, plans to “bring the magic of AI to age-appropriate play experiences with an emphasis on innovation, privacy, and safety,” it said.
Tomi Engdahl says:
Justine Calma / The Verge:
Google is working with the US National Hurricane Center to test an AI model that forecasts cyclones, and launches Weather Lab to share its AI weather models
Google has a new AI model and website for forecasting tropical storms
https://www.theverge.com/news/685820/google-ai-forecast-typhoon-hurricane-tropical-storm
It’s working with the US National Hurricane Center to test out its new AI-based tropical cyclone model.
Tomi Engdahl says:
Paul Alcorn / Tom’s Hardware:
AMD unveils its new MI350X and MI355X GPUs for AI workloads, claiming up to 4x AI compute performance and 35x inference gains over the prior-gen MI300X
https://www.tomshardware.com/pc-components/gpus/amd-announces-mi350x-and-mi355x-ai-gpus-claims-up-to-4x-generational-gain-up-to-35x-faster-inference-performance
Tomi Engdahl says:
https://techcrunch.com/2025/06/12/how-ai-sales-startup-landbase-nabbed-ashton-kutchers-sound-ventures-to-lead-its-30m-series-a/
Tomi Engdahl says:
Emanuel Maiberg / 404 Media:
Meta sues Joy Timeline, which makes nudify app CrushAI, in Hong Kong to prevent it from advertising on Meta apps; in January, 90% of its traffic came from Meta
https://www.404media.co/meta-sues-nudify-app-that-keeps-advertising-on-instagram/
Tomi Engdahl says:
Googlesta on tulkut hakukoneen sijaan tekoälyyn pohjautuva vastauskone, jossa liikenne ei enää siirry klikkeinä sivustoille, jolloin alkuperäisten sivustojen julkaisemisen bisnesmallia pitää miettiä uusiksi. Esimerkki: ”At the New York Times, the share of traffic coming from organic search to the paper’s desktop and mobile websites slid to 36.5% in April 2025 from almost 44% three years earlier, according to Similarweb.”
News Sites Are Getting Crushed by Google’s New AI Tools
Chatbots are replacing Google’s traditional search, devastating traffic for some publishers
https://www.wsj.com/tech/ai/google-ai-news-publishers-7e687141?st=ByNFoE&fbclid=IwY2xjawK42WxleHRuA2FlbQIxMQABHkncV9SQHFyz-UfDt4dSI5Uy8APAcrhoB_emZViga4PxOT6h00wZaV0HG0KC_aem_N-r7lCzCoII0mErTp7i2Kg
Tomi Engdahl says:
Näin tekoäly ”ottaa vallan” – AI-agentit ovat käynnistäneet 3 merkittävää murrosta
https://www.kauppalehti.fi/kumppanisisallot/digia/nain-tekoaly-ottaa-vallan-ai-agentit-ovat-kaynnistaneet-3-merkittavaa-murrosta/?utm_id=29300361&utm_source=9796956&utm_medium=860634&utm_creative_format=native
Tekoälyn päätöksenteko ja itsenäiset AI-agentit ovat tulossa vauhdilla arkeen, ja niiden teknologia on ottanut tänä vuonna nopean harppauksen. Samalla ”AI on uusi UI” -ilmiö aiheuttaa merkittäviä muutoksia. Nyt tarvitaan rohkeutta, sillä tekoälyn itsenäinen päätöksenteko muuttaa yllättävillä tavoilla yritysten toimintaa ja tuo isoja tuottavuusloikkia, kertoo Digian teknologiajohtaja Juhana Juppo.
Kun myyjä tulee asiakastapaamisesta, hän ei avaakaan tietokonetta vaan puhelimensa tekoälysovelluksen. Hän alkaa jutella ääneen AI-agentin kanssa, joka kysyy tarvittavat tiedot käynnistä ja tilatuista tuotteista. Sitten AI-agentti vie tiedot itsenäisesti järjestelmiin ja lähettää tilauksen – ja aikaa kuluu vain muutama minuutti.
Kyse ei ole tulevaisuuspuheesta, vaan tällaisia ratkaisuja on jo otettu käyttöön Suomessakin.
– Varsinkin viimeisen puolen vuoden aikana on menty valtavasti eteenpäin siinä, millainen kyvykkyys tekoälymalleilla on tehdä asioita ihmisen puolesta. 2025 on se vuosi, jona AI-agentteja kehitetään tosissaan, toteaa tekoälyhankkeita toteuttavan Digian teknologiajohtaja Juhana Juppo.
”2025 on se vuosi, jona itsenäisiä AI-agentteja kehitetään tosissaan.”
Hän kertoo, että edessä on kolme murrosta, joista jokainen olisi itsessäänkin merkittävä. Yhdessä ne muuttavat maailmaa ja luovat suomalaisille organisaatioille valtavia mahdollisuuksia.
1. Itsenäisten AI-agenttien vallankumous on jo vauhdissa – Tekoäly alkaa tehdä päätöksiä
Siinä missä aiemmat tekoälypalvelut tekevät asioita ihmisen pyynnöstä, AI-agentit voivat toimia myös itsenäisesti ja tarvittaessa kommunikoida ihmisten ja järjestelmien kanssa.
– Jos vaikkapa kalenteriin on tullut päällekkäisyys, henkilökohtaista AI-agenttia voi pyytää sopimaan uuden ajan. Agentti kommunikoi muiden osallistujien kanssa ja hoitaa siirron itsenäisesti, Juppo kuvailee.
Jupon mukaan haastavin kysymys on usein se, uskalletaanko AI-agentin antaa tehdä joitain päätöksiä itsenäisesti. Digian viime syksynä tekemässä tekoälyn kyselytutkimuksessa vain 11 prosenttia organisaatioista kertoi, että tekoäly voi tehdä itsenäisiä ratkaisuja.
”Tekoälyn itsenäinen päätöksenteko on väistämätön kehitys.”
– Tekoälyn itsenäinen päätöksenteko on väistämätön kehitys, jos haluamme, että tekoäly tehostaa työtä. Monissa tehtävissä on järkevintä, että annetaan tekoälyn hoitaa tehtävä meidän puolesta, Juppo toteaa.
2. ”AI on uusi UI” – Käyttöliittymien mullistus on alkanut
Vähemmälle huomiolle tekoälymurroksessa on jäänyt se, miten se muuttaa laitteiden ja järjestelmien käyttöä. Kuten alun myyjän esimerkissä, järjestelmiä ohjataan yhä useammin tekoälyn kautta luonnollisella kielellä, joko kirjoittamalla tai puhumalla. ”AI on uusi UI” eli käyttöliittymä (user interface).
Esimerkiksi erp-toiminnanohjausjärjestelmiin on tuotu toimintoja, joilla järjestelmää voi puhumalla pyytää tekemään tiettyjä toimia. Juppo kertoo, että puheohjaus tuo monissa tilanteissa melkoisia säästöjä työajassa.
3. Tekoälyn suurin mullistus vasta alkamassa: bisnes rakentuu AI:n pohjalle
Tekoälyssä on tähän saakka keskitytty lähinnä henkilökohtaista tuottavuutta parantaviin työkaluihin ja organisaatiotason teknologiaan, joka tehostaa vaikkapa myynnin tai markkinoinnin toimintaa. Juppo kertoo, että usein unohtuu kolmas ja kaikkein merkittävin alue.
– Isoin muutos tulee, kun organisaatiota kehitetään niin, että osa toiminnasta nojaa puhtaasti AI-agentteihin.
Tähän suuntaan mentiin tekoälypohjaisessa automaatiojärjestelmässä, jonka Digia toteutti vakuutusmeklari- ja finanssialan palveluita tarjoavalle Söderberg & Partnersille. Tekoäly tuo isoja työaikasäästöjä vakuutuskirjojen käsittelyssä, ja 2–3 henkilön työpanos voidaan käyttää muihin tehtäviin. Samalla edistettiin työntekijöiden hyvinvointia.
Harkitulla rohkeudella voi saavuttaa valtavia hyötyjä
Juppo kertoo, että tekoälyn tekninen kyvykkyys on edennyt nopeammin kuin käyttöönotto. Organisaatioissa tarvitaankin ennen kaikkea uskallusta.
– Tekoäly voi tehostaa prosesseja käsittelemällä osan asioista automaattisesti. Mutta jos sen ei anneta hoitaa joitain tehtäviä itsenäisesti, prosessit eivät tehostu samalla tavalla.
Itsenäisessä päätöksenteossa täytyy toki edetä harkiten, sillä tekoäly voi hallusinoida ja tehdä virheitä. Jos asiaan liittyy turvallisuusnäkökohtia, ihmisen täytyy yleensä tehdä lopulliset ratkaisut, ja jo lainsäädäntö voi asettaa tässä rajoituksia
Juppo kertoo, että tekoälyn luotettavuutta voidaan parantaa esimerkiksi ketjuttamalla tekoälymalleja. Luottamusta lisää myös se, että tekoäly kertoo avoimesti toiminnastaan. Juppo kannustaa kuitenkin miettimään, mikä on kussakin tilanteessa riittävän hyvä ja optimaalisin taso.
Tomi Engdahl says:
Tekoälysäädös (AI Act) tulee – pää kylmänä eteenpäin
Digia
EU:n tekoälysäädöksen eli AI Actin soveltaminen alkaa asteittain ensi vuoden alkupuolella. Mitä tekoälyn kanssa saa jatkossa tehdä – vai saako mitään? Pää kylmänä eteenpäin, sanoo Digian Juhana Juppo. Sääntely ei estä tekoälyn hyödyntämistä, kun tietää, mitä tekee.
https://digia.com/blogi/ai-act-tulee-paa-kylmana-eteenpain-tekoalyn-hyodyntamisessa
Tomi Engdahl says:
Neljä riskiluokkaa – Tunnista tekoälyn vaikutukset
Uusissa säännöissä asetetaan velvoitteita tekoälyjärjestelmien valmistajille ja käyttäjille riippuen siitä, kuinka suuren riskin ne aiheuttavat.
Ei hyväksyttävissä oleva riski. Tekoälysovellukset, jotka manipuloivat, luokittelevat tai pisteyttävät ihmisiä tai joihin liittyy ihmisten tunnistamista, ovat yksiselitteisesti kiellettyjä.
Suuri riski. Korkean riskin järjestelmät, kuten terveydenhuollossa, lainvalvonnassa, koulutuksessa ja rekrytoinnissa käytettävät järjestelmät, vaativat erityistä valvontaa. Näiden järjestelmien käyttö edellyttää dokumentointia, auditointeja ja algoritmien läpinäkyvyyttä. Käyttäjille on aina kerrottava, kun he ovat vuorovaikutuksessa tekoälyn kanssa.
Vähäisen riskin sovelluksilla, joita kutsutaan myös avoimuuteen liittyvän riskin sovelluksiksi, olennaista on, että käyttäjät ymmärtävät olevansa tekemisissä tekoälyn (vaikkapa palvelubotin) kanssa.
Rajoitetun (tai minimaalisen) riskin sovelluksiin ei kohdistu velvoitteita, vaikka yrityksiä kannustetaan läpinäkyvyyteen aina, kun tekoälyä käytetään.
https://digia.com/blogi/ai-act-tulee-paa-kylmana-eteenpain-tekoalyn-hyodyntamisessa
Tomi Engdahl says:
Case Söderberg & Partners
Tekoälyautomaatio tehostaa suuren vakuutusmeklarin prosesseja – Valtava säästö työajassa
Digia rakensi Söderberg & Partnersille tekoälyyn perustuvan automaatiojärjestelmän vakuutuskirjojen käsittelyyn. Ratkaisu toi suuria tehostuksia ja edisti samalla työntekijöiden hyvinvointia. Parhaimmillaan 95 prosenttia työstä tulee täysin valmiina asiantuntijoiden tarkastukseen.
https://digia.com/asiakkaamme/soderberg-partners
Tomi Engdahl says:
AI Overviews hallucinates that Airbus, not Boeing, involved in fatal Air India crash
Google’s disclaimer says AI “may include mistakes,” which is an understatement.
https://arstechnica.com/ai/2025/06/google-ai-mistakenly-says-fatal-air-india-crash-involved-airbus-instead-of-boeing/?utm_source=facebook&utm_medium=social&utm_campaign=dhfacebook&utm_content=null&fbclid=IwZXh0bgNhZW0CMTEAAR5OMViVkrGl0u81P-hdRpK4qR5iZjEmoH5Mn362ncBCaGSMNyl7LGuJ3uYeew_aem_GK5tDXQa2sgcItiTeKkvNA
When major events occur, most people rush to Google to find information. Increasingly, the first thing they see is an AI Overview, a feature that already has a reputation for making glaring mistakes. In the wake of a tragic plane crash in India, Google’s AI search results are spreading misinformation claiming the incident involved an Airbus plane—it was actually a Boeing 787.
Tomi Engdahl says:
“If Google makes AI Mode the default in its current form, it’s going to have a devastating impact on the internet,” says Lily Ray, vice president of search engine optimisation (SEO) strategy and research at the marketing agency Amsive. “It will severely cut into the main source of revenue for most publishers and it will disincentivise content creators who rely on organic search traffic, which is millions of websites, maybe more. Google holds all the power.”
Google says these concerns are overblown. In fact, the company believes AI Mode will make the web healthier and more useful.
Is Google about to destroy the web?
https://www.bbc.co.uk/future/article/20250611-ai-mode-is-google-about-to-change-the-internet-forever
Google says a new AI tool on its search engine will rejuvenate the internet. Others predict an apocalypse for websites. One thing is clear: the current chapter of online history is careening towards its end. Welcome to the “machine web”.
T
The web is built on a simple bargain – websites let search engines like Google slurp up their content, free of charge, and Google Search sends people to websites in exchange, where they buy things and look at adverts. That’s how most sites make money.
An estimated 68% of internet activity starts on search engines and about 90% of searches happen on Google. If the internet is a garden, Google is the Sun that lets the flowers grow.
This arrangement held strong for decades, but a seemingly minor change has some convinced that the system is crumbling. You’ll soon see a new AI tool on Google Search. You may find it very useful. But if critics’ predictions come true, it will also have seismic consequences for the internet. They paint a picture where quality information could grow scarcer online and large numbers of people might lose their jobs. Optimists say instead this could improve the web’s business model and expand opportunities to find great content. But, for better or worse, your digital experiences may never be the same again.
Tomi Engdahl says:
I think it’s going to destroy the open web as we know it, for sure. It probably already has – Gisele Navarro
Tomi Engdahl says:
ChatGPT Tells Users to Alert the Media That It Is Trying to ‘Break’ People: Report
https://gizmodo.com/chatgpt-tells-users-to-alert-the-media-that-it-is-trying-to-break-people-report-2000615600?fbclid=IwY2xjawK5aDBleHRuA2FlbQIxMQABHgoo3QK2odrOUSpPIZ1TV9sP-N212mOf5770UxXjSv1ObseGgvSGF4llsFy9_aem_J-cjt0BEGBn02HIsVOiKlA
Machine-made delusions are mysteriously getting deeper and out of control.
ChatGPT’s sycophancy, hallucinations, and authoritative-sounding responses are going to get people killed. That seems to be the inevitable conclusion presented in a recent New York Times report that follows the stories of several people who found themselves lost in delusions that were facilitated, if not originated, through conversations with the popular chatbot.
In the report, the Times highlights at least one person whose life ended after being pulled into a false reality by ChatGPT. A 35-year-old named Alexander, previously diagnosed with bipolar disorder and schizophrenia, began discussing AI sentience with the chatbot and eventually fell in love with an AI character called Juliet. ChatGPT eventually told Alexander that OpenAI killed Juliet, and he vowed to take revenge by killing the company’s executives. When his father tried to convince him that none of it was real, Alexander punched him in the face. His father called the police and asked them to respond with non-lethal weapons. But when they arrived, Alexander charged at them with a knife, and the officers shot and killed him.
Tomi Engdahl says:
Meta has agreed to purchase a 49 percent stake in Scale AI for about $14.3 billion and is recruiting 28‑year‑old founder and CEO Alexandr Wang to lead its new super‑intelligence lab. The deal values Scale AI at approximately $29 billion and signals Meta’s push to dominate the next era of AI with a fresh wave of leadership.
For more content like this, please visit: https://bit.ly/4n6phrg
#MetaAI #ScaleAI #AlexandrWang
Tomi Engdahl says:
“Atari’s humble 8-bit engine just did its thing.” https://trib.al/gWyepoD
ChatGPT “Absolutely Wrecked” at Chess by Atari 2600 Console From 1977
“chatgpt did worse than my washing machine at washing clothes” wow epic fail
Tomi Engdahl says:
Punnitse tarkkaan tekoälyn mahdollisuudet vaikuttaa tietoturvaan.
Esimerkiksi analyysien tai muiden tietojen jakaminen tekoälysovelluksen kanssa voi aiheuttaa organisaatiossa yllättäviä riskejä, sillä ei ole varmaa tietoa, mihin kaikkialle ne voivat sovelluksen kautta päätyä.
Lue koko juttu tekoälyn ja tietoturvan suhteesta blogista:
https://nerdynet.com/tekoaly-ja-tietoturva-onko-meita-koeteltu-uhkien-osalta-viela-lainkaan-vai-onko-pahin-vasta-edessa/?utm_source=meta&utm_medium=social&utm_campaign=150525
Tomi Engdahl says:
Timothy B. Lee / Understanding AI:
Researchers find Llama 3.1 recalls large parts of popular copyrighted books, possibly weakening AI industry claims that such memorization is fringe behavior — New research could have big implications for copyright lawsuits against generative AI. — In recent years, numerous plaintiffs …
Meta’s Llama 3.1 can recall 42 percent of the first Harry Potter book
New research could have big implications for copyright lawsuits against generative AI.
https://www.understandingai.org/p/metas-llama-31-can-recall-42-percent
Tomi Engdahl says:
Anthropic:
Anthropic details how it built its multi-agent Claude Research system, claiming significant improvements in internal evaluations over single-agent systems — Our Research feature uses multiple Claude agents to explore complex topics more effectively. We share the engineering challenges …
How we built our multi-agent research system
https://www.anthropic.com/engineering/built-multi-agent-research-system
Tomi Engdahl says:
Maxwell Zeff / TechCrunch:
New York state passes a bill mandating safety and transparency requirements for frontier AI models; it awaits Governor Hochul’s signature — New York state lawmakers passed a bill on Thursday that aims to prevent frontier AI models from OpenAI, Google, and Anthropic from contributing to disaster scenarios …
New York passes a bill to prevent AI-fueled disasters
https://techcrunch.com/2025/06/13/new-york-passes-a-bill-to-prevent-ai-fueled-disasters/
New York state lawmakers passed a bill on Thursday that aims to prevent frontier AI models from OpenAI, Google, and Anthropic from contributing to disaster scenarios, including the death or injury of more than 100 people, or more than $1 billion in damages.
The passage of the RAISE Act represents a win for the AI safety movement, which has lost ground in recent years as Silicon Valley and the Trump administration have prioritized speed and innovation. Safety advocates including Nobel laureate Geoffrey Hinton and AI research pioneer Yoshua Bengio have championed the RAISE Act. Should it become law, the bill would establish America’s first set of legally mandated transparency standards for frontier AI labs.
The RAISE Act has some of the same provisions and goals as California’s controversial AI safety bill, SB 1047, which was ultimately vetoed. However, the co-sponsor of the bill, New York State Senator Andrew Gounardes, told TechCrunch in an interview that he deliberately designed the RAISE Act such that it doesn’t chill innovation among startups or academic researchers — a common criticism of SB 1047.
Tomi Engdahl says:
Financial Times:
BT Group CEO Allison Kirkby says AI could deepen job cuts at the telco, whose plan to cut over 40,000 jobs by 2030 “did not reflect the full potential of AI” — Allison Kirkby said advances in artificial intelligence could deepen significant job cuts under way at BT
BT chief eyes deeper job cuts as AI becomes more powerful
Allison Kirkby says telecoms group could be ‘even smaller’ by 2030
https://www.ft.com/content/c8d41424-f2d9-418e-8da2-55823f1c22ca
Tomi Engdahl says:
Tamara Djurickovic / Tech.eu:
Berlin-based Knowunity, an AI-powered learning platform with 20M+ users in 15 countries, raised a €27M Series B led by XAnge, bringing its total funding to €45M — Knowunity is a global AI learning companion that combines personalised AI and student-created content to make studying easier, more engaging, and effective.
Knowunity raises €27M to scale its personalized AI tutor globally
Knowunity is a global AI learning companion that combines personalised AI and student-created content to make studying easier, more engaging, and effective.
https://tech.eu/2025/06/13/knowunity-raises-eur27m-to-bring-ai-tutor-to-1-billion-students/
Tomi Engdahl says:
Nick Mokey / VentureBeat:
In an Oxford study, LLMs correctly identified medical conditions 94.9% of the time when given test scenarios directly, vs. 34.5% when prompted by human subjects — Headlines have been blaring it for years: Large language models (LLMs) can not only pass medical licensing exams but also outperform humans.
Just add humans: Oxford medical study underscores the missing link in chatbot testing
https://venturebeat.com/ai/just-add-humans-oxford-medical-study-underscores-the-missing-link-in-chatbot-testing/
Headlines have been blaring it for years: Large language models (LLMs) can not only pass medical licensing exams but also outperform humans. GPT-4 could correctly answer U.S. medical exam licensing questions 90% of the time, even in the prehistoric AI days of 2023. Since then, LLMs have gone on to best the residents taking those exams and licensed physicians.
Move over, Doctor Google, make way for ChatGPT, M.D. But you may want more than a diploma from the LLM you deploy for patients. Like an ace medical student who can rattle off the name of every bone in the hand but faints at the first sight of real blood, an LLM’s mastery of medicine does not always translate directly into the real world.
Tomi Engdahl says:
Erin Brodwin / Axios:
NYC-based Zorro, whose AI-powered software helps clients’ workers navigate health insurance and benefits options, raised a $20M Series A led by Entrée Capital
Exclusive: Zorro clinches $20M Series A for ICHRA health plans
https://www.axios.com/pro/health-tech-deals/2025/06/11/zorro-raises-20m-series-a-ichra-health-plans
Tomi Engdahl says:
Axios:
Austin-based Autonomize AI, which develops AI agents for automating administrative workflows in healthcare and life sciences, raised a $28M Series A
Exclusive: Autonomize AI gets $28M for health agents
https://www.axios.com/pro/health-tech-deals/2025/06/12/autonomize-ai-raises-28m-healthcare-agents
Tomi Engdahl says:
Milana Vinn / Reuters:
Dealogic: tech deals accounted for $421B of the $1.67T in global deals announced in the first five months of 2025, with 75% of tech M&A involving AI software — Weighed down by tariffs and geopolitical uncertainty, dealmaking has slowed to a crawl across most industries except one: the unglamorous world of data infrastructure.
Unglamorous world of ‘data infrastructure’ driving hot tech M&A market in AI race
https://www.reuters.com/business/unglamorous-world-data-infrastructure-driving-hot-tech-ma-market-ai-race-2025-06-13/
Tomi Engdahl says:
Tekoälyn aikakaudella mikro-ohjain pitää ajatella uusiksi
https://etn.fi/index.php/tekniset-artikkelit/17653-tekoaelyn-aikakaudella-mikro-ohjain-pitaeae-ajatella-uusiksi
Tomi Engdahl says:
https://etn.fi/index.php/13-news/17652-suomalainen-startup-ovido-kesyttaeae-tuotetiedon-tekoaelyn-avulla
Tomi Engdahl says:
Lopulta tekoäly lopettaa koodaamisen
https://etn.fi/index.php/13-news/17648-lopulta-tekoaely-lopettaa-koodaamisen
AWS:n Principal Developer Advocate Gunnar Grosch esitti AWS Summit Stockholm 2025 -tapahtumassa rohkean näkemyksen ohjelmistokehityksen tulevaisuudesta. – Lopulta tekoäly lopettaa koodaamisen. Hänen mukaansa kehittäjien rooli on jo nyt siirtymässä koodin kirjoittajista kohti koodintarkastajaa – asiantuntijaa, joka ohjaa, tarkistaa ja optimoi tekoälyn tuottamaa koodia.
Grosch on itse koodannut yli 25 vuotta ja toteaa rehellisesti, että suuri osa kehittäjän ajasta kuluu väärin asioihin. Itse asiassa kehittäjä käyttää alle tunnin päivässä varsinaiseen koodin kirjoittamiseen. Loppu aika menee järjestelmien ylläpitoon, hallintaan ja tukitehtäviin. Juuri tähän haasteeseen Amazon vastaa kehittämällään työkalulla Amazon Q Developer.
Amazon Q Developer on uuden sukupolven tekoälyagentti, joka auttaa kehittäjiä koko ohjelmistokehityksen elinkaaren ajan. Tällä tarkoitetaan sitä, että työkalu pystyy tukemaan niin uuden koodin suunnittelussa, kirjoittamisessa ja dokumentoinnissa kuin myös olemassa olevan koodin refaktoroinnissa, optimoinnissa, tietoturvan parantamisessa ja käyttöönotossa. Groschin mukaan Q Developer ei pelkästään ehdota ratkaisuja, vaan toimii aktiivisesti: se tekee koodimuutoksia, laatii funktiot ja dokumentaation, huolehtii testikattavuudesta ja jopa ottaa koodin käyttöön palvelussa.
Q Developer on koulutettu erityisesti AWS-maailmaan ja tuntee AWS:n parhaat käytännöt. Sen voi yhdistää esimerkiksi IDE-työkaluihin, komentorivikäyttöön, Slackiin, Gitlabiin tai AWS:n omaan konsoliin. Pro-version avulla se voidaan myös opettaa tuntemaan organisaation oma koodi, jolloin tekoäly pystyy tuottamaan entistä paremmin yrityksen tyyliin ja standardeihin sopivaa koodia.
Tomi Engdahl says:
Ensimmäinen eurooppalainen päättelykielimalli on julkaistu
Magistral-kielimallista on julkaistu kaksi versiota.
https://www.iltalehti.fi/digiuutiset/a/c9cadbe0-5492-467e-8c2f-44d0322627b7
Ranskalainen tekoäly-yhtiö Mistral on julkaissut päättelyyn kykenevän Magistral-kielimallin. Kyseessä on ensimmäinen eurooppalainen päättelykielimalli.
France’s Mistral launches Europe’s first AI reasoning model
https://www.reuters.com/business/frances-mistral-launches-europes-first-ai-reasoning-model-2025-06-10/
Tomi Engdahl says:
Artificial intelligence
Fake bands and artificial songs are taking over YouTube and Spotify
AI-generated songs have made their way onto streaming services and it’s not just ambient or electronic music: fake bands, be they rock, salsa, or jazz, are also abundant
https://english.elpais.com/culture/2025-06-15/fake-bands-and-artificial-songs-are-taking-over-youtube-and-spotify.html
AI is now used to create songs that go beyond ambient themes, which merely provide sounds that help listeners relax, or create a mood to concentrate and study. Platforms such as Suno, Boomy, or Udio allow for the generation of relatively intricate jazz or rock compositions.
A study by the International Confederation of Societies of Authors and Composers (CISAC) in France estimates that revenue from AI-generated music will increase from $100 million in 2023 to around $4 billion in 2028. By then, the organization estimates that 20% of streaming platforms’ revenue will come from this type of music.
One of the major problems with this trend is the lack of transparency. María Teresa Llano, an associate professor at the University of Sussex who studies the intersection of creativity, art and AI, emphasizes this aspect: “There’s no way for people to know if something is AI or not. [It’s not as simple as searching] for an artist you’ve come across. Right now, there’s a responsibility hanging over you. It’s the responsibility to ensure [that there’s] transparency, to make it clear whether something is generated by artificial intelligence or by humans.”
Tomi Engdahl says:
Carl Franzen / VentureBeat:
Midjourney launches V1, its first AI video generation model, letting subscribers animate images via its website; video jobs will cost ~8x more than image jobs — Popular AI image generation service Midjourney has launched its first AI video generation model V1, marking a pivotal shift …
‘Surpassing all my expectations’: Midjourney releases first AI video model amid Disney, Universal lawsuit
https://venturebeat.com/business/surpassing-all-my-expectations-midjourney-releases-first-ai-video-model-amid-disney-universal-lawsuit/
Popular AI image generation service Midjourney has launched its first AI video generation model V1, marking a pivotal shift for the company from image generation toward full multimedia content creation.
Starting today, Midjourney’s nearly 20 million users can animate images via the website, transforming their generated or uploaded stills into 5-second long clips with options for extending the generation longer up to 20 seconds (in 5 second bursts), and guiding them with text.
Tomi Engdahl says:
Ben Schoon / 9to5Google:
Korean media: Google’s move from Samsung to TSMC for its Tensor G5 chip in the upcoming Pixel 10 series was a “shock” and a wake-up call for Samsung’s foundry — According to a new report, Google’s switch from Samsung’s foundry to TSMC for the Tensor G5 chip in the upcoming Pixel 10 series was a …
https://9to5google.com/2025/06/18/google-tsmc-pixel-10-chip-samsung-shock-report/
Tomi Engdahl says:
Ina Fried / Axios:
OpenAI warns that its upcoming models could pose a higher risk of enabling the creation of biological weapons and says it is stepping up testing of such models — OpenAI cautioned Wednesday that upcoming models will head into a higher level of risk when it comes to the creation of biological weapons …
https://www.axios.com/2025/06/18/openai-bioweapons-risk