AI is developing all the time. Here are some picks from several articles what is expected to happen in AI and around it in 2025. Here are picks from various articles, the texts are picks from the article edited and in some cases translated for clarity.
AI in 2025: Five Defining Themes
https://news.sap.com/2025/01/ai-in-2025-defining-themes/
Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from emerging technologies to impacting how businesses run. From building AI agents to interacting with technology in ways that feel more like a natural conversation, AI technologies are poised to transform how we work.
But what exactly lies ahead?
1. Agentic AI: Goodbye Agent Washing, Welcome Multi-Agent Systems
AI agents are currently in their infancy. While many software vendors are releasing and labeling the first “AI agents” based on simple conversational document search, advanced AI agents that will be able to plan, reason, use tools, collaborate with humans and other agents, and iteratively reflect on progress until they achieve their objective are on the horizon. The year 2025 will see them rapidly evolve and act more autonomously. More specifically, 2025 will see AI agents deployed more readily “under the hood,” driving complex agentic workflows.
In short, AI will handle mundane, high-volume tasks while the value of human judgement, creativity, and quality outcomes will increase.
2. Models: No Context, No Value
Large language models (LLMs) will continue to become a commodity for vanilla generative AI tasks, a trend that has already started. LLMs are drawing on an increasingly tapped pool of public data scraped from the internet. This will only worsen, and companies must learn to adapt their models to unique, content-rich data sources.
We will also see a greater variety of foundation models that fulfill different purposes. Take, for example, physics-informed neural networks (PINNs), which generate outcomes based on predictions grounded in physical reality or robotics. PINNs are set to gain more importance in the job market because they will enable autonomous robots to navigate and execute tasks in the real world.
Models will increasingly become more multimodal, meaning an AI system can process information from various input types.
3. Adoption: From Buzz to Business
While 2024 was all about introducing AI use cases and their value for organizations and individuals alike, 2025 will see the industry’s unprecedented adoption of AI specifically for businesses. More people will understand when and how to use AI, and the technology will mature to the point where it can deal with critical business issues such as managing multi-national complexities. Many companies will also gain practical experience working for the first time through issues like AI-specific legal and data privacy terms (compared to when companies started moving to the cloud 10 years ago), building the foundation for applying the technology to business processes.
4. User Experience: AI Is Becoming the New UI
AI’s next frontier is seamlessly unifying people, data, and processes to amplify business outcomes. In 2025, we will see increased adoption of AI across the workforce as people discover the benefits of humans plus AI.
This means disrupting the classical user experience from system-led interactions to intent-based, people-led conversations with AI acting in the background. AI copilots will become the new UI for engaging with a system, making software more accessible and easier for people. AI won’t be limited to one app; it might even replace them one day. With AI, frontend, backend, browser, and apps are blurring. This is like giving your AI “arms, legs, and eyes.”
5. Regulation: Innovate, Then Regulate
It’s fair to say that governments worldwide are struggling to keep pace with the rapid advancements in AI technology and to develop meaningful regulatory frameworks that set appropriate guardrails for AI without compromising innovation.
12 AI predictions for 2025
This year we’ve seen AI move from pilots into production use cases. In 2025, they’ll expand into fully-scaled, enterprise-wide deployments.
https://www.cio.com/article/3630070/12-ai-predictions-for-2025.html
This year we’ve seen AI move from pilots into production use cases. In 2025, they’ll expand into fully-scaled, enterprise-wide deployments.
1. Small language models and edge computing
Most of the attention this year and last has been on the big language models — specifically on ChatGPT in its various permutations, as well as competitors like Anthropic’s Claude and Meta’s Llama models. But for many business use cases, LLMs are overkill and are too expensive, and too slow, for practical use.
“Looking ahead to 2025, I expect small language models, specifically custom models, to become a more common solution for many businesses,”
2. AI will approach human reasoning ability
In mid-September, OpenAI released a new series of models that thinks through problems much like a person would, it claims. The company says it can achieve PhD-level performance in challenging benchmark tests in physics, chemistry, and biology. For example, the previous best model, GPT-4o, could only solve 13% of the problems on the International Mathematics Olympiad, while the new reasoning model solved 83%.
If AI can reason better, then it will make it possible for AI agents to understand our intent, translate that into a series of steps, and do things on our behalf, says Gartner analyst Arun Chandrasekaran. “Reasoning also helps us use AI as more of a decision support system,”
3. Massive growth in proven use cases
This year, we’ve seen some use cases proven to have ROI, says Monteiro. In 2025, those use cases will see massive adoption, especially if the AI technology is integrated into the software platforms that companies are already using, making it very simple to adopt.
“The fields of customer service, marketing, and customer development are going to see massive adoption,”
4. The evolution of agile development
The agile manifesto was released in 2001 and, since then, the development philosophy has steadily gained over the previous waterfall style of software development.
“For the last 15 years or so, it’s been the de-facto standard for how modern software development works,”
5. Increased regulation
At the end of September, California governor Gavin Newsom signed a law requiring gen AI developers to disclose the data they used to train their systems, which applies to developers who make gen AI systems publicly available to Californians. Developers must comply by the start of 2026.
There are also regulations about the use of deep fakes, facial recognition, and more. The most comprehensive law, the EU’s AI Act, which went into effect last summer, is also something that companies will have to comply with starting in mid-2026, so, again, 2025 is the year when they will need to get ready.
6. AI will become accessible and ubiquitous
With gen AI, people are still at the stage of trying to figure out what gen AI is, how it works, and how to use it.
“There’s going to be a lot less of that,” he says. But gen AI will become ubiquitous and seamlessly woven into workflows, the way the internet is today.
7. Agents will begin replacing services
Software has evolved from big, monolithic systems running on mainframes, to desktop apps, to distributed, service-based architectures, web applications, and mobile apps. Now, it will evolve again, says Malhotra. “Agents are the next phase,” he says. Agents can be more loosely coupled than services, making these architectures more flexible, resilient and smart. And that will bring with it a completely new stack of tools and development processes.
8. The rise of agentic assistants
In addition to agents replacing software components, we’ll also see the rise of agentic assistants, adds Malhotra. Take for example that task of keeping up with regulations.
Today, consultants get continuing education to stay abreast of new laws, or reach out to colleagues who are already experts in them. It takes time for the new knowledge to disseminate and be fully absorbed by employees.
“But an AI agent can be instantly updated to ensure that all our work is compliant with the new laws,” says Malhotra. “This isn’t science fiction.”
9. Multi-agent systems
Sure, AI agents are interesting. But things are going to get really interesting when agents start talking to each other, says Babak Hodjat, CTO of AI at Cognizant. It won’t happen overnight, of course, and companies will need to be careful that these agentic systems don’t go off the rails.
Companies such as Sailes and Salesforce are already developing multi-agent workflows.
10. Multi-modal AI
Humans and the companies we build are multi-modal. We read and write text, we speak and listen, we see and we draw. And we do all these things through time, so we understand that some things come before other things. Today’s AI models are, for the most part, fragmentary. One can create images, another can only handle text, and some recent ones can understand or produce video.
11. Multi-model routing
Not to be confused with multi-modal AI, multi-modal routing is when companies use more than one LLM to power their gen AI applications. Different AI models are better at different things, and some are cheaper than others, or have lower latency. And then there’s the matter of having all your eggs in one basket.
“A number of CIOs I’ve spoken with recently are thinking about the old ERP days of vendor lock,” says Brett Barton, global AI practice leader at Unisys. “And it’s top of mind for many as they look at their application portfolio, specifically as it relates to cloud and AI capabilities.”
Diversifying away from using just a single model for all use cases means a company is less dependent on any one provider and can be more flexible as circumstances change.
12. Mass customization of enterprise software
Today, only the largest companies, with the deepest pockets, get to have custom software developed specifically for them. It’s just not economically feasible to build large systems for small use cases.
“Right now, people are all using the same version of Teams or Slack or what have you,” says Ernst & Young’s Malhotra. “Microsoft can’t make a custom version just for me.” But once AI begins to accelerate the speed of software development while reducing costs, it starts to become much more feasible.
9 IT resolutions for 2025
https://www.cio.com/article/3629833/9-it-resolutions-for-2025.html
1. Innovate
“We’re embracing innovation,”
2. Double down on harnessing the power of AI
Not surprisingly, getting more out of AI is top of mind for many CIOs.
“I am excited about the potential of generative AI, particularly in the security space,”
3. And ensure effective and secure AI rollouts
“AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. Balancing the rollout with proper training, adoption, and careful measurement of costs and benefits is essential, particularly while securing company assets in tandem,”
4. Focus on responsible AI
The possibilities of AI grow by the day — but so do the risks.
“My resolution is to mature in our execution of responsible AI,”
“AI is the new gold and in order to truly maximize it’s potential, we must first have the proper guardrails in place. Taking a human-first approach to AI will help ensure our state can maintain ethics while taking advantage of the new AI innovations.”
5. Deliver value from generative AI
As organizations move from experimenting and testing generative AI use cases, they’re looking for gen AI to deliver real business value.
“As we go into 2025, we’ll continue to see the evolution of gen AI. But it’s no longer about just standing it up. It’s more about optimizing and maximizing the value we’re getting out of gen AI,”
6. Empower global talent
Although harnessing AI is a top objective for Morgan Stanley’s Wetmur, she says she’s equally committed to harnessing the power of people.
7. Create a wholistic learning culture
Wetmur has another talent-related objective: to create a learning culture — not just in her own department but across all divisions.
8. Deliver better digital experiences
Deltek’s Cilsick has her sights set on improving her company’s digital employee experience, believing that a better DEX will yield benefits in multiple ways.
Cilsick says she first wants to bring in new technologies and automation to “make things as easy as possible,” mirroring the digital experiences most workers have when using consumer technologies.
“It’s really about leveraging tech to make sure [employees] are more efficient and productive,”
“In 2025 my primary focus as CIO will be on transforming operational efficiency, maximizing business productivity, and enhancing employee experiences,”
9. Position the company for long-term success
Lieberman wants to look beyond 2025, saying another resolution for the year is “to develop a longer-term view of our technology roadmap so that we can strategically decide where to invest our resources.”
“My resolutions for 2025 reflect the evolving needs of our organization, the opportunities presented by AI and emerging technologies, and the necessity to balance innovation with operational efficiency,”
Lieberman aims to develop AI capabilities to automate routine tasks.
“Bots will handle common inquiries ranging from sales account summaries to HR benefits, reducing response times and freeing up resources for strategic initiatives,”
Not just hype — here are real-world use cases for AI agents
https://venturebeat.com/ai/not-just-hype-here-are-real-world-use-cases-for-ai-agents/
Just seven or eight months ago, when a customer called in to or emailed Baca Systems with a service question, a human agent handling the query would begin searching for similar cases in the system and analyzing technical documents.
This process would take roughly five to seven minutes; then the agent could offer the “first meaningful response” and finally begin troubleshooting.
But now, with AI agents powered by Salesforce, that time has been shortened to as few as five to 10 seconds.
Now, instead of having to sift through databases for previous customer calls and similar cases, human reps can ask the AI agent to find the relevant information. The AI runs in the background and allows humans to respond right away, Russo noted.
AI can serve as a sales development representative (SDR) to send out general inquires and emails, have a back-and-forth dialogue, then pass the prospect to a member of the sales team, Russo explained.
But once the company implements Salesforce’s Agentforce, a customer needing to modify an order will be able to communicate their needs with AI in natural language, and the AI agent will automatically make adjustments. When more complex issues come up — such as a reconfiguration of an order or an all-out venue change — the AI agent will quickly push the matter up to a human rep.
Open Source in 2025: Strap In, Disruption Straight Ahead
Look for new tensions to arise in the New Year over licensing, the open source AI definition, security and compliance, and how to pay volunteer maintainers.
https://thenewstack.io/open-source-in-2025-strap-in-disruption-straight-ahead/
The trend of widely used open source software moving to more restrictive licensing isn’t new.
In addition to the demands of late-stage capitalism and impatient investors in companies built on open source tools, other outside factors are pressuring the open source world. There’s the promise/threat of generative AI, for instance. Or the shifting geopolitical landscape, which brings new security concerns and governance regulations.
What’s ahead for open source in 2025?
More Consolidation, More Licensing Changes
The Open Source AI Debate: Just Getting Started
Security and Compliance Concerns Will Rise
Paying Maintainers: More Cash, Creativity Needed
Kyberturvallisuuden ja tekoälyn tärkeimmät trendit 2025
https://www.uusiteknologia.fi/2024/11/20/kyberturvallisuuden-ja-tekoalyn-tarkeimmat-trendit-2025/
1. Cyber infrastructure will be centered on a single, unified security platform
2. Big data will give an edge against new entrants
3. AI’s integrated role in 2025 means building trust, governance engagement, and a new kind of leadership
4. Businesses will adopt secure enterprise browsers more widely
5. AI’s energy implications will be more widely recognized in 2025
6. Quantum realities will become clearer in 2025
7. Security and marketing leaders will work more closely together
Presentation: For 2025, ‘AI eats the world’.
https://www.ben-evans.com/presentations
Just like other technologies that have gone before, such as cloud and cybersecurity automation, right now AI lacks maturity.
https://www.securityweek.com/ai-implementing-the-right-technology-for-the-right-use-case/
If 2023 and 2024 were the years of exploration, hype and excitement around AI, 2025 (and 2026) will be the year(s) that organizations start to focus on specific use cases for the most productive implementations of AI and, more importantly, to understand how to implement guardrails and governance so that it is viewed as less of a risk by security teams and more of a benefit to the organization.
Businesses are developing applications that add Large Language Model (LLM) capabilities to provide superior functionality and advanced personalization
Employees are using third party GenAI tools for research and productivity purposes
Developers are leveraging AI-powered code assistants to code faster and meet challenging production deadlines
Companies are building their own LLMs for internal use cases and commercial purposes.
AI is still maturing
However, just like other technologies that have gone before, such as cloud and cybersecurity automation, right now AI lacks maturity. Right now, we very much see AI in this “peak of inflated expectations” phase and predict that it will dip into the “trough of disillusionment”, where organizations realize that it is not the silver bullet they thought it would be. In fact, there are already signs of cynicism as decision-makers are bombarded with marketing messages from vendors and struggle to discern what is a genuine use case and what is not relevant for their organization.
There is also regulation that will come into force, such as the EU AI Act, which is a comprehensive legal framework that sets out rules for the development and use of AI.
AI certainly won’t solve every problem, and it should be used like automation, as part of a collaborative mix of people, process and technology. You simply can’t replace human intuition with AI, and many new AI regulations stipulate that human oversight is maintained.
7 Splunk Predictions for 2025
https://www.splunk.com/en_us/form/future-predictions.html
AI: Projects must prove their worth to anxious boards or risk defunding, and LLMs will go small to reduce operating costs and environmental impact.
OpenAI, Google and Anthropic Are Struggling to Build More Advanced AI
Three of the leading artificial intelligence companies are seeing diminishing returns from their costly efforts to develop newer models.
https://www.bloomberg.com/news/articles/2024-11-13/openai-google-and-anthropic-are-struggling-to-build-more-advanced-ai
Sources: OpenAI, Google, and Anthropic are all seeing diminishing returns from costly efforts to build new AI models; a new Gemini model misses internal targets
It Costs So Much to Run ChatGPT That OpenAI Is Losing Money on $200 ChatGPT Pro Subscriptions
https://futurism.com/the-byte/openai-chatgpt-pro-subscription-losing-money?fbclid=IwY2xjawH8epVleHRuA2FlbQIxMQABHeggEpKe8ZQfjtPRC0f2pOI7A3z9LFtFon8lVG2VAbj178dkxSQbX_2CJQ_aem_N_ll3ETcuQ4OTRrShHqNGg
In a post on X-formerly-Twitter, CEO Sam Altman admitted an “insane” fact: that the company is “currently losing money” on ChatGPT Pro subscriptions, which run $200 per month and give users access to its suite of products including its o1 “reasoning” model.
“People use it much more than we expected,” the cofounder wrote, later adding in response to another user that he “personally chose the price and thought we would make some money.”
Though Altman didn’t explicitly say why OpenAI is losing money on these premium subscriptions, the issue almost certainly comes down to the enormous expense of running AI infrastructure: the massive and increasing amounts of electricity needed to power the facilities that power AI, not to mention the cost of building and maintaining those data centers. Nowadays, a single query on the company’s most advanced models can cost a staggering $1,000.
Tekoäly edellyttää yhä nopeampia verkkoja
https://etn.fi/index.php/opinion/16974-tekoaely-edellyttaeae-yhae-nopeampia-verkkoja
A resilient digital infrastructure is critical to effectively harnessing telecommunications networks for AI innovations and cloud-based services. The increasing demand for data-rich applications related to AI requires a telecommunications network that can handle large amounts of data with low latency, writes Carl Hansson, Partner Solutions Manager at Orange Business.
AI’s Slowdown Is Everyone Else’s Opportunity
Businesses will benefit from some much-needed breathing space to figure out how to deliver that all-important return on investment.
https://www.bloomberg.com/opinion/articles/2024-11-20/ai-slowdown-is-everyone-else-s-opportunity
Näin sirumarkkinoilla käy ensi vuonna
https://etn.fi/index.php/13-news/16984-naein-sirumarkkinoilla-kaey-ensi-vuonna
The growing demand for high-performance computing (HPC) for artificial intelligence and HPC computing continues to be strong, with the market set to grow by more than 15 percent in 2025, IDC estimates in its recent Worldwide Semiconductor Technology Supply Chain Intelligence report.
IDC predicts eight significant trends for the chip market by 2025.
1. AI growth accelerates
2. Asia-Pacific IC Design Heats Up
3. TSMC’s leadership position is strengthening
4. The expansion of advanced processes is accelerating.
5. Mature process market recovers
6. 2nm Technology Breakthrough
7. Restructuring the Packaging and Testing Market
8. Advanced packaging technologies on the rise
2024: The year when MCUs became AI-enabled
https://www-edn-com.translate.goog/2024-the-year-when-mcus-became-ai-enabled/?fbclid=IwZXh0bgNhZW0CMTEAAR1_fEakArfPtgGZfjd-NiPd_MLBiuHyp9qfiszczOENPGPg38wzl9KOLrQ_aem_rLmf2vF2kjDIFGWzRVZWKw&_x_tr_sl=en&_x_tr_tl=fi&_x_tr_hl=fi&_x_tr_pto=wapp
The AI party in the MCU space started in 2024, and in 2025, it is very likely that there will be more advancements in MCUs using lightweight AI models.
Adoption of AI acceleration features is a big step in the development of microcontrollers. The inclusion of AI features in microcontrollers started in 2024, and it is very likely that in 2025, their features and tools will develop further.
Just like other technologies that have gone before, such as cloud and cybersecurity automation, right now AI lacks maturity.
https://www.securityweek.com/ai-implementing-the-right-technology-for-the-right-use-case/
If 2023 and 2024 were the years of exploration, hype and excitement around AI, 2025 (and 2026) will be the year(s) that organizations start to focus on specific use cases for the most productive implementations of AI and, more importantly, to understand how to implement guardrails and governance so that it is viewed as less of a risk by security teams and more of a benefit to the organization.
Businesses are developing applications that add Large Language Model (LLM) capabilities to provide superior functionality and advanced personalization
Employees are using third party GenAI tools for research and productivity purposes
Developers are leveraging AI-powered code assistants to code faster and meet challenging production deadlines
Companies are building their own LLMs for internal use cases and commercial purposes.
AI is still maturing
AI Regulation Gets Serious in 2025 – Is Your Organization Ready?
While the challenges are significant, organizations have an opportunity to build scalable AI governance frameworks that ensure compliance while enabling responsible AI innovation.
https://www.securityweek.com/ai-regulation-gets-serious-in-2025-is-your-organization-ready/
Similar to the GDPR, the EU AI Act will take a phased approach to implementation. The first milestone arrives on February 2, 2025, when organizations operating in the EU must ensure that employees involved in AI use, deployment, or oversight possess adequate AI literacy. Thereafter from August 1 any new AI models based on GPAI standards must be fully compliant with the act. Also similar to GDPR is the threat of huge fines for non-compliance – EUR 35 million or 7 percent of worldwide annual turnover, whichever is higher.
While this requirement may appear manageable on the surface, many organizations are still in the early stages of defining and formalizing their AI usage policies.
Later phases of the EU AI Act, expected in late 2025 and into 2026, will introduce stricter requirements around prohibited and high-risk AI applications. For organizations, this will surface a significant governance challenge: maintaining visibility and control over AI assets.
Tracking the usage of standalone generative AI tools, such as ChatGPT or Claude, is relatively straightforward. However, the challenge intensifies when dealing with SaaS platforms that integrate AI functionalities on the backend. Analysts, including Gartner, refer to this as “embedded AI,” and its proliferation makes maintaining accurate AI asset inventories increasingly complex.
Where frameworks like the EU AI Act grow more complex is their focus on ‘high-risk’ use cases. Compliance will require organizations to move beyond merely identifying AI tools in use; they must also assess how these tools are used, what data is being shared, and what tasks the AI is performing. For instance, an employee using a generative AI tool to summarize sensitive internal documents introduces very different risks than someone using the same tool to draft marketing content.
For security and compliance leaders, the EU AI Act represents just one piece of a broader AI governance puzzle that will dominate 2025.
The next 12-18 months will require sustained focus and collaboration across security, compliance, and technology teams to stay ahead of these developments.
The Global Partnership on Artificial Intelligence (GPAI) is a multi-stakeholder initiative which aims to bridge the gap between theory and practice on AI by supporting cutting-edge research and applied activities on AI-related priorities.
https://gpai.ai/about/#:~:text=The%20Global%20Partnership%20on%20Artificial,activities%20on%20AI%2Drelated%20priorities.
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Tomi Engdahl says:
How to Spot Fake AI Photos | Hany Farid | TED
https://www.youtube.com/watch?v=q5_PrTvNypY
Tomi Engdahl says:
https://www.youtube.com/watch?v=q5_PrTvNypY
Tomi Engdahl says:
Eight Artificial Neurons Control Fully Autonomous Toy Truck
https://hackaday.com/2025/07/24/eight-artificial-neurons-control-fully-autonomous-toy-truck/
Recently the [Global Science Network] released a video of using an artificial brain to control an RC truck.
The video shows a neural network comprised of eight artificial neurons assembled on breadboards used to control a fully autonomous toy truck. The truck is equipped with four proximity sensors, one front, one front left, one front right, and one rear. The sensor readings from the truck are transmitted to the artificial brain which determines which way to turn and whether to go forward or backward. The inputs to each neuron, the “synapses”, can be excitatory to increase the firing rate or inhibitory to decrease the firing rate. The output commands are then returned wirelessly to the truck via a hacked remote control.
This particular type of neural network is called a Spiking Neural Network (SNN) which uses discrete events, called “spikes”, instead of continuous real-valued activations. In these types of networks when a neuron fires matters as well as the strength of the signal. There are other videos on this channel which go into more depth on these topics.
Artificial Brain Controlled RC Truck
https://www.youtube.com/watch?v=nL_UZBd93sw
Tomi Engdahl says:
https://mobiili.fi/2025/07/13/elon-muskin-grok-tekoalyn-vyory-tesla-autoihin-alkoi/
Tomi Engdahl says:
Forewarning That There’s No Reversibility Once We Reach AGI And AI Superintelligence
https://www.forbes.com/sites/lanceeliot/2025/07/02/forewarning-that-theres-no-reversibility-once-we-reach-agi-and-ai-superintelligence/
Tomi Engdahl says:
Unleash the power of Kali GPT, the AI-driven revolution in cybersecurity learning. With real-time guidance and adaptive learning, Kali GPT elevates your command of Kali Linux to masterful heights. From cybersecurity professionals to tech enthusiasts, Kali GPT is your key to unlocking the full potential of offensive security. Experience the future of cyber expertise today.
https://xis10cial.com/ai/%F0%9F%90%89kali-gpt/
Tomi Engdahl says:
https://www.udio.com/
Tomi Engdahl says:
https://worksonmymachine.substack.com/p/mcp-an-accidentally-universal-plugin
Tomi Engdahl says:
LabVIEW sai älykkään apurin – ja hänen nimensä on Nigel
https://etn.fi/index.php/13-news/17711-labview-sai-aelykkaeaen-apurin-ja-haenen-nimensae-on-nigel
NI:n nykyään omistava Emerson on julkistanut uuden tekoälypohjaisen työkalun, Nigel AI Advisorin, joka tuo älykkyyttä ja käytännön tukea insinöörien päivittäiseen testaustyöhön. Nigel integroituu osaksi NI:n tunnetuimpia LabVIEW- ja TestStand -testaus- ja mittausohjelmistoja.
Tämä innovaatio on osa Emersonin laajempaa strategiaa, jossa tekoälyn voimaa valjastetaan alan ammattilaisten käyttöön. Nigel ei ole vain chatbot – se toimii oikeana kätenä insinööreille, jotka työskentelevät yhä monimutkaisempien järjestelmien ja testausympäristöjen kanssa. Tekoälyavustaja analysoi koodia, ehdottaa parannuksia, selittää ohjelmiston toimintoja ja tarjoaa käytännön vinkkejä yksinkertaisilla, luonnollisilla kysymyksillä. Kaikki tämä tapahtuu turvallisesti pilvipohjaisella alustalla, joka suojaa käyttäjien dataa.
Tomi Engdahl says:
Meir Orbach / CTech:
Aidoc, which uses AI to help doctors make real-time clinical decisions, raised $150M led by General Catalyst and Square Peg, bringing its total funding to $370M
Aidoc raises $150M with Nvidia backing as AI pushes faster diagnosis
New funding fuels rapid expansion of medical AI tools for hospitals worldwide.
https://www.calcalistech.com/ctechnews/article/mqfujfe3g
Tomi Engdahl says:
Todd Bishop / GeekWire:
In a memo, Satya Nadella addresses the “enigma” of layoffs while “Microsoft is thriving”, saying the transition into the AI era “might feel messy at times” — Microsoft CEO Satya Nadella addressed the growing internal unease inside the tech giant Thursday morning …
In new memo, Microsoft CEO addresses ‘enigma’ of layoffs amid record profits and AI investments
https://www.geekwire.com/2025/in-new-memo-microsoft-ceo-addresses-enigma-of-layoffs-amid-record-profits-and-ai-investments/
Tomi Engdahl says:
Tom Warren / The Verge:
Sources: OpenAI plans to launch GPT-5 in early August, with the main and mini versions available via ChatGPT and the API, and the nano version via the API only — OpenAI’s open language model is still arriving ahead of GPT-5. … Earlier this year, I heard that Microsoft engineers …
OpenAI prepares to launch GPT-5 in August
OpenAI’s open language model is still arriving ahead of GPT-5.
https://www.theverge.com/notepad-microsoft-newsletter/712950/openai-gpt-5-model-release-date-notepad
Tomi Engdahl says:
Sarah Perez / TechCrunch:
Google launches Web Guide, an AI-powered Search Labs experiment that organizes Google Search results by grouping pages related to specific aspects of the query — Google on Thursday is launching a new AI-powered feature called Web Guide for organizing Google Search results.
Google’s new Web Guide search experiment organizes results with AI
https://techcrunch.com/2025/07/24/googles-new-web-guide-search-experiment-organizes-results-with-ai/
Tomi Engdahl says:
Isabelle Bousquette / Wall Street Journal:
Walmart consolidates its AI agents into four “super agents”, for customers, staff, engineers, and sellers/suppliers, using Anthropic’s Model Context Protocol — Walmart built so many AI agents, things started to get confusing. Now the retail giant is looking to simplify.
exclusive
CIO Journal
Why Walmart Is Overhauling Its Approach to AI Agents
Walmart built so many AI agents, things started to get confusing. Now the retail giant is looking to simplify.
https://www.wsj.com/articles/why-walmart-is-overhauling-its-approach-to-ai-agents-4b1fbc65?st=vDYQvP&reflink=desktopwebshare_permalink
Walmart is overhauling its AI agent strategy as it aims to simplify the user experience.
Agents refer to artificial intelligence tools that can independently take some action on behalf of a user, and Walmart in recent months has built dozens. Maybe too many, since they were typically accessed through different interfaces in different systems, and things were starting to get confusing for users.
Now the retail giant is taking a step back and consolidating all those agents into four discrete interfaces it calls “super agents.” One is for customers, one is for employees, one is for engineers, and one is for sellers and suppliers, the company said. The super agent for each group will tap the capabilities of a number of behind-the-scenes agents, all in a single unified experience.
The company plans to announce the changes Thursday.
“It became very clear that we could dramatically simplify,” said Suresh Kumar, Walmart’s chief technology officer and chief development officer. “If I have an agent that helps you with your payroll and I have a different agent that helps you with identifying merchandising trends, you shouldn’t have to remember that and switch between those two.”
Kumar said the shift is a natural evolution based on the fact that the company found so many different use cases for AI agents. The technology has buy-in at all levels at Walmart, starting with the leadership at the very top, he said.
“Artificial intelligence is already changing how we work,” said Walmart Chief Executive Doug McMillon. “Learning and applying what we learn, as we build new tools, is the responsibility and an opportunity for all of us to improve experiences for our customers, members and fellow associates.”
Tomi Engdahl says:
Sources: repair demand in China for Nvidia’s banned AI chips, including H100 and A100, surges as ~12 firms now repair chips that made their way into the country — Demand in China has begun surging for a business that, in theory, shouldn’t exist: the repair of
Nvidia AI chips: repair demand booms in China for banned products
https://www.reuters.com/world/china/china-repair-demand-banned-nvidia-ai-chipsets-booms-2025-07-24/
BEIJING/SHANGHAI, July 25 (Reuters) – Demand in China has begun surging for a business that, in theory, shouldn’t exist: the repair of advanced Nvidia (NVDA.O)
, opens new tab artificial intelligence chipsets that the U.S. has banned the export of to its trade and tech rival.
Around a dozen boutique companies now offer repair services, according to two such firms in the tech hub of Shenzhen which say they predominantly fix Nvidia’s H100 graphics processing units (GPUs) that have somehow made their way to the country, as well as A100 GPUs and a range of other chips.
Tomi Engdahl says:
Kyt Dotson / SiliconANGLE:
Leena AI, which develops an employee-facing agentic AI assistant, launches “AI colleagues” that it says can work and interact just like human employees
Leena AI announces voice-enabled AI ‘colleagues’ who can work alongside you
https://siliconangle.com/2025/07/24/leena-ai-announces-voice-enabled-ai-colleagues-can-work-alongside/
Leena AI Inc., the developer of an employee-facing agentic artificial intelligence assistant, today announced the launch of what it’s calling AI colleagues, which can speak out loud and listen using natural, conversational language in the workplace.
The company said its AI agents can work and interact just like human employees can and provide support across numerous work fields, including information technology, human resources, finance, marketing, sales and procurement.
Leena AI Chief Executive and co-founder Adit Jain told SiliconANGLE in an interview that the company initially focused on building text AI, but he believes that conversational voice communication will become the next generation of work accessibility.
“Org structures today have humans reporting to humans, but that’s changing to a place where you will have AI colleagues reporting to humans and AI collaborating with humans,” said Jain.
By using natural voice communication, Jain said these agents allow workers to get work done faster than before. AI acts as a go-between for situations where text might be cumbersome or difficult, becoming more of a collaborator than a widget trapped within a screen.
“Already 35 % of all interactions with Leena are on voice… and the average time of session is seven and a half minutes,” said Jain.
Opportunities for using voice with AI agents are everywhere, such as when walking from place to place, where employees would naturally talk to one another or to their devices instead of typing on a keyboard or a screen.
Tomi Engdahl says:
Trump’s AI masterplan zeroes in on China, kills “woke” systems, and backs building billion-dollar data centers. https://bit.ly/46rUXS2
Tomi Engdahl says:
Why Choose Earth Zoom Out AI for AI Video Generation
https://earthzoomoutai.site/
Tomi Engdahl says:
Amazon buys Bee AI wearable that listens to everything you sayBee is a Fitbit-like device that transcribes your conversations and serves up daily summaries.
https://www.theverge.com/news/711621/amazon-bee-ai-wearable-acquisition
Amazon is acquiring Bee, a startup that puts AI on your wrist. Bee CEO Maria de Lourdes Zollo says on LinkedIn that the company is joining Amazon to help “bring truly personal, agentic AI to even more customers.”
Bee makes a $49.99 Fitbit-like device that listens in on your conversations while using AI to transcribe everything that you and the people around you say, allowing it to generate personalized summaries of your days, reminders, and suggestions from within the Bee app. You can also give the device permission to access your emails, contacts, location, reminders, photos, and calendar events to help inform its AI-generated insights, as well as create a searchable history of your activities.
My colleague Victoria Song got to try out the device for herself and found that it didn’t always get things quite right. It tended to confuse real-life conversations with the TV shows, TikTok videos, music, and movies that it heard. When asked about Amazon’s plans to apply the same privacy measures offered by Bee, such as its policy against storing audio, Amazon spokesperson Alexandra Miller says the company “cares deeply” about customer privacy and security, adding that the company will work with Bee to give users “even greater control over” their devices when the deal closes.
Tomi Engdahl says:
Huawei shows off AI computing system to rival Nvidia’s top product
https://www.msn.com/en-ca/news/technology/huawei-shows-off-ai-computing-system-to-rival-nvidia-s-top-product/ar-AA1JkKQX
The CloudMatrix 384 system made its first public debut at the World Artificial Intelligence Conference (WAIC), a three-day event in Shanghai where companies showcase their latest AI innovations, drawing a large crowd to the company’s booth.
The system has drawn close attention from the global AI community since Huawei first announced it in April. Industry analysts view it as a direct competitor to Nvidia’s GB200 NVL72, the U.S. chipmaker’s most advanced system-level product currently available in the market.
Tomi Engdahl says:
Google’s AI Refuses to Even Play Chess Against 1977 Atari, After Hearing What It Did to Other Cutting-Edge AIs
“Canceling the match is likely the most time-efficient and sensible decision.”
https://futurism.com/google-ai-refuses-chess-atari?fbclid=IwY2xjawL1AJBleHRuA2FlbQIxMQABHlw-OwQGObxcUa7dGzfycaLUAfSjHqH-x5I5rxQkYmJ58kvk_BI_dlRX8MHL_aem_O9pBfvvta3XQFMYiSQ1IZQ
Tomi Engdahl says:
https://www.silentsound.fi/post/onko-teko%C3%A4lyll%C3%A4-tehty-musiikki-varastamista
Tomi Engdahl says:
Perplexity just launched an AI web browserComet uses Perplexity as its default search engine and comes with a built-in AI assistant.
https://www.theverge.com/news/703037/perplexity-ai-web-browser-comet-launch
Perplexity, the startup behind the AI “answer” engine, has just launched its own web browser. The browser, called Comet, incorporates Perplexity’s AI search tools and assistant in a way that CEO Aravind Srinivas says “transforms entire browsing sessions into single, seamless interactions.”
Comet will only be available to users who subscribe to the $200 per month Perplexity Max plan before rolling out more widely on an invite-only basis. The browser uses Perplexity as its primary search engine, which serves up AI-generated responses to queries based on results from around the web. It’s also supposed to be able to buy products on your behalf and help you book hotels.
Tomi Engdahl says:
Amazon buys Bee AI wearable that listens to everything you sayBee is a Fitbit-like device that transcribes your conversations and serves up daily summaries.
https://www.theverge.com/news/711621/amazon-bee-ai-wearable-acquisition
Tomi Engdahl says:
https://www.getmerlin.in/pricing
Tomi Engdahl says:
https://www.solita.fi/blogs/ai-for-cybersecurity-or-cybersecurity-for-ai-or-both/
Tomi Engdahl says:
https://dev.solita.fi/2024/10/11/learning-a-programming-language-with-generative-ai.html?gh_src=ce1383253us&utm_source=facebook&utm_medium=paid_social&utm_campaign=awareness-campaigns&utm_content=blog&utm_creative_format=single_image&utm_marketing_tactic=recruitment&hsa_acc=1021896911210910&hsa_cam=6800932244308&hsa_grp=6800932244708&hsa_ad=6800944677708&hsa_src=fb&hsa_net=facebook&hsa_ver=3&fbclid=IwQ0xDSwL1ifxleHRuA2FlbQEwAGFkaWQAAAYveT6-hAEeemOADsfwaPqSUY0X3TlLImKDTAqmaDT5bX0DL-TtUa2OOGd_V8Jr90PJAnA_aem_n7bHcjPv8NQaTDgfoEcISQ&utm_id=6800932244308&utm_term=6800932244708
Tomi Engdahl says:
https://www.aquasec.com/blog/ai-generated-malware-in-panda-image-hides-persistent-linux-threat/
Tomi Engdahl says:
https://www.tivi.fi/uutiset/a/c0da0bf2-7653-44cf-b7a5-6aec8128b520
Tomi Engdahl says:
Synthesia made making training videos too easy for more than 50,000 L&D teams. This is why:
Because you can:
- Skip the production studio
- Update videos in seconds
- Don’t even need to be on camera
Just select your presenter, type in the script and hit “Generate video.”
That’s it. No video editing skills needed.
Try it out for FREE
https://www.synthesia.io/ads/meta/learning-and-development
P.S. Used by 50,000+ teams and rated 4.7/5
Tomi Engdahl says:
AI-Generated Malware in Panda Image Hides Persistent Linux Threat
https://www.aquasec.com/blog/ai-generated-malware-in-panda-image-hides-persistent-linux-threat/
The line between human and machine-generated threats is starting to blur. Aqua Nautilus recently uncovered a malware campaign that hints at this unsettling shift. Koske, a sophisticated Linux threat, shows clear signs of AI-assisted development, likely with help from a large language model. With modular payloads, evasive rootkits, and delivery through weaponized image files, Koske represents a new breed of persistent and adaptable malware built for one purpose: cryptomining. It is a warning of what is to come.
The Attack Flow
The attack begins by exploiting a misconfigured server, which allows the threat actors to install backdoors and download two seemingly harmless JPEG images from shortened URLs. These images are polyglot files, with malicious payloads appended to the end. Once downloaded, the malware extracts and executes the malicious segments in memory, bypassing antivirus tools. One payload is C code written directly to memory, compiled, and executed as a shared object .so file that functions as a rootkit. The second is a shell script, also executed from memory, which uses standard system utilities to run stealthily and maintain persistence while leaving few visible traces.
Tomi Engdahl says:
Chat GPT:n uusi kyky on ihan scifiä
Open AI:n toimitusjohtaja Sam Altman kehottaa varovaisuuteen tekoälyagentin käytössä.
https://www.kauppalehti.fi/uutiset/a/8633fbcb-f9d3-477a-ad3a-68d7950c75c8
Tekoäly-yhtiö Open AI on lanseerannut tekoälyagentin. Yhtiön toimitusjohtaja Sam Altman kertoo asiasta viestipalvelu X:ssä. Tuotteen nimi on Chat GPT Agent.
– Agentti edustaa uutta tasoa tekoälyjärjestelmien kyvykkyydessä, Altman sanoo.
Tomi Engdahl says:
Copyright Lawsuit Accuses Meta of Pirating Adult Films for AI Training
https://torrentfreak.com/copyright-lawsuit-accuses-meta-of-pirating-adult-films-for-ai-training/
Tomi Engdahl says:
Study reveals 700% error increase when AI encounters cat-related text
https://boingboing.net/2025/07/31/study-reveals-700-error-increase-when-ai-encounters-cat-related-text.html?fbclid=IwQ0xDSwL5yFJjbGNrAvnIKWV4dG4DYWVtAjExAAEeeLnTobVyJ2ntlWI8eQJ-r9rZWswVkcQC4AutLIick_BekNcHSab_EX7CNcs_aem_W-B_wHy6wDFJvSra4lzZvA
Even the most advanced AI models can easily be confounded by cats.
Reasoning language models are large language models that are trained to break problems down into smaller chunks. They solve problems in steps and revisit and revise previous steps. This iterative process allows reasoning models to solve more complex problems. However, they are easily confused by cats, according to a new study.
Tomi Engdahl says:
EU:n tekoälyasetus voimaan vasta syksyllä
https://www.uusiteknologia.fi/2025/08/01/eun-tekoalyasetus-voimaan-vasta-syksylla/
Euroopan unionin tekoälyasetuksen mukaisia säännöksiä esimerkiksi yleiskäyttöisistä tekoälymalleista aletaan soveltaa EU-maissa jo huomisesta 2.8.2025 alkaen. Suomi antaa kuitenkin vielä odottaa, sillä lainmuutoksen vaativat päätökset ovat työ- ja elinkeinoministeriön mukaan vielä kesken joten voimaan se tullee vasta syksyllä.
Euroopan unionin tekoälyasetus on lähtökohtaisesti suoraan sovellettavaa oikeutta, mutta edellyttää kansallisen täydentävän lainsäädännön antamista. Hallituksen esitys eduskunnalle EU:n tekoälyasetusta täydentäväksi lainsäädännöksi on annettu 8.5.2025.
Asetuksen kansallista täytäntöönpanoa koskevan lakiesityksen käsittely on edelleen kesken eduskunnassa, minkä vuoksi kansallisten viranomaisten tehtäviin, ilmoitettujen laitosten nimeämiseen ja seuraamuksiin liittyvää kansallista lainsäädäntöä ei sovelleta vielä.
Suomessa tekoälyasetus tullee säädetyn siirtymäajan mukaisesti vasta sen jälkeen, kun lakiesityksen käsittely saadaan päätökseen myöhemmin syksyllä. Tämän vuoksi tekoälyasetuksen rikkomisesta ei voitaisi määrätä seuraamuksia Suomessa vielä kyseisenä ajankohtana.
Euroopassa asetuksessa säädettyjä yleiskäyttöisiä tekoälymalleja (general purpose AI models, GPAI models) koskevia vaatimuksia ja toimijoiden velvoitteita aletaan soveltaa maakohtaisten päätösten mukaisesti 2.8.2025 alkaen.
Uusi asetus koskee yleiskäyttöisiä tekoälymalleja ovat esimerkiksi laajat generatiiviset tekoälymallit, jotka tuottavat tekstiä, ääntä, kuvia tai videoita. Yleiskäyttöisten tekoälymallien valvonnasta vastaa Euroopan komission yhteydessä toimiva tekoälytoimisto.
https://tem.fi/tekoalyasetus
Tomi Engdahl says:
Microsoftin Copilot vie markkinaosuuksia ChatGPT:ltä
https://etn.fi/index.php/13-news/17714-microsoftin-copilot-vie-markkinaosuuksia-chatgpt-ltae
Microsoftin Copilot on ottanut nopeassa ajassa merkittävän aseman tekoälykilpailussa, syöden markkinaosuutta ChatGPT:ltä, joka on hallinnut markkinaa usean vuoden ajan. Stocklyticsin julkaisemien tietojen mukaan ChatGPT:n globaali markkinaosuus laski kahdessa kuukaudessa 84,21 prosentista 79,86 prosenttiin – eli 4,35 prosenttiyksikköä.
Samaan aikaan Microsoft Copilotin osuus nousi 4,6 prosenttiyksiköllä, saavuttaen kesäkuussa 4,83 %. Nopean kasvun taustalla on erityisesti “Copilot Plus” -päivitys, joka toi tekoälytyökalut saumattomasti osaksi Microsoftin ohjelmistoja kuten Office, Teams ja Windows. Laaja Microsoft 365 -käyttäjäkunta mahdollisti nopean käyttöönoton niin kuluttaja- kuin yrityspuolella.
Vaikka kilpailu kiristyy, ChatGPT säilyttää edelleen selkeän markkinajohtajan aseman. Muita merkittäviä kilpailijoita ovat Perplexity (11 % markkinaosuus), Google Gemini (2,19 %) ja uusi kiinalainen toimija DeepSeek (1,02 %), joka on noussut nopeasti markkinoille tammikuussa 2025 tapahtuneen lanseerauksen jälkeen.
Yhdysvalloissa ChatGPT:n alamäki oli erityisen jyrkkä, markkinaosuuden pudotessa yli 10 prosenttia kahdessa kuukaudessa. Samalla Copilot kasvoi yli 10 prosenttia. Euroopassa kehitys oli samansuuntaista, kun taas Aasiassa ChatGPT:n asema pysyi suhteellisen vakaana.
Kilpailun kiihtyessä OpenAI:n on panostettava entistä enemmän käyttökokemukseen ja integraatioihin, sillä pelkkä mallin älykkyys ei enää takaa käyttäjäuskollisuutta.
Tomi Engdahl says:
https://etn.fi/index.php/13-news/17720-uudenlainen-joustava-muisti-tekee-tekoaelyn-kaeytoestae-jopa-puolta-halvempaa
Huipputason verkkopiirejä kehittävä Enfabrica, on julkaissut EMFASYS-järjestelmän, uudenlaisen “joustavan muistin” ratkaisun, joka voi puolittaa suurten kielimallien (LLM) käytöstä aiheutuvat kustannukset pilviympäristöissä.
EMFASYS (Elastic Memory Fabric System) yhdistää verkkokortin, muistikontrollerin ja välimuistihierarkian yhdeksi tehokkaaksi laitteeksi.
Tomi Engdahl says:
https://etn.fi/index.php/opinion/17721-kyberjulkaisu-varoittaa-alibaban-uuden-ai-mallin-kaeytoestae
Kun Alibaba julkaisi Qwen3-Coderin – edistyneen avoimen lähdekoodin tekoälymallinsa koodinluontiin – vastaanotto teknisessä mediassa oli pääosin ihailua. Kyseessä on huippumalli: se päihittää useita suljettuja kilpailijoita, ymmärtää valtavia koodipohjia ja kykenee agenttimaiseen työskentelyyn. Cybernewsin päätoimittaja Jurgita Lapienyen mukaan malli voi kuitenkin olla “Troijan hevonen”.
Tomi Engdahl says:
Noah Smith / Noahpinion:
A look at why the AI data center building boom could spark a financial crisis akin to 2008, including the rising use of debt financing via private credit funds — This time let’s think about a financial crisis before it happens. — The U.S. economic data for the last few months is looking decidedly meh.
Will data centers crash the economy?
This time let’s think about a financial crisis before it happens.
https://www.noahpinion.blog/p/will-data-centers-crash-the-economy
The U.S. economic data for the last few months is looking decidedly meh. The latest employment numbers were so bad that Trump actually fired the head of the Bureau of Labor Statistics, accusing her of manipulating the numbers to make him look bad. But there’s one huge bright spot amid the gloom: an incredible AI data center building boom.
AI technology is advancing fast, threatening (promising?) to upend many sectors of the economy. Nobody knows yet exactly who will profit from this boom, but one thing that’s certain is that it’s going to take a lot of computing power (or “compute”, as they say). AI models take a lot of compute to train, but nowadays they also take a lot of compute to do inference — i.e., to “think about” and answer each question you ask. Inference compute now represents most of the cost of running advanced AI models, and increases in inference compute are responsible for many of the ongoing performance gains. So compute needs are probably only going to grow as AI keeps getting better.
Whoever provides this compute is going to make a huge amount of revenue. Whether that means they’ll make a lot of profit is another question, but let’s table that for right now; you can’t make profit if you don’t make revenue. So right now, tech companies have the choice to either sit out of the boom entirely, or spend big and hope they can figure out how to make a profit.
Roughly speaking, Apple is choosing the former, while the big software companies — Google, Meta, Microsoft, and Amazon — are choosing the latter. These spending numbers are pretty incredible
Tomi Engdahl says:
Paul Kedrosky:
As a percentage of US GDP, AI datacenter capex is already larger than peak telecom spending during the dot-com era and is approaching the railroad spending boom — AI capex is so big that it’s affecting economic statistics, boosting the economy, and beginning to approach the railroad boom
Honey, AI Capex is Eating the Economy
https://paulkedrosky.com/honey-ai-capex-ate-the-economy/
AI capex is so big that it’s affecting economic statistics, boosting the economy, and beginning to approach the railroad boom
Tomi Engdahl says:
Drew Harwell / Washington Post:
Families and funeral directors are using AI obituary generators to memorialize the dead, as critics worry about AI’s impact on how people remember one another — Families and funeral directors are using AI obituary generators to more efficiently memorialize the dead. What happens when they get it wrong?
https://www.washingtonpost.com/technology/2025/08/03/ai-obituaries-funeral-homes/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJyZWFzb24iOiJnaWZ0IiwibmJmIjoxNzU0MTkzNjAwLCJpc3MiOiJzdWJzY3JpcHRpb25zIiwiZXhwIjoxNzU1NTc1OTk5LCJpYXQiOjE3NTQxOTM2MDAsImp0aSI6IjBiNTk1NmY1LWU4MDUtNDBkNC1hNzA0LTIzNjk4NWE4MjM0ZCIsInVybCI6Imh0dHBzOi8vd3d3Lndhc2hpbmd0b25wb3N0LmNvbS90ZWNobm9sb2d5LzIwMjUvMDgvMDMvYWktb2JpdHVhcmllcy1mdW5lcmFsLWhvbWVzLyJ9.76hnvtuQDy7BamNKDbYGEsCCvQi3VTlxmf6BphsNwLg
Tomi Engdahl says:
Lu Wang / Bloomberg:
A study finds that AI trading bots can collude and fix prices in simulated markets without explicit instruction, posing challenges to regulators — It’s a regulator’s nightmare: Hedge funds unleash AI bots on stock and bond exchanges — but they don’t just compete, they collude.
‘Dumb’ AI Bots Collude to Rig Markets, Wharton Research Finds
https://www.bloomberg.com/news/articles/2025-07-30/wharton-experiment-finds-dumb-ai-bots-collude-to-rig-markets
It’s a regulator’s nightmare: Hedge funds unleash AI bots on stock and bond exchanges — but they don’t just compete, they collude. Instead of battling for returns, they fix prices, hoard profits, and sideline human traders.
Now, a trio of researchers say that scenario is far from science fiction.
In simulations designed to mimic real-world markets, trading agents powered by artificial intelligence formed price-fixing cartels — without explicit instruction. Even with relatively simple programming, the bots chose to collude when left to their own devices, raising fresh alarms for market watchdogs.
Put another way, AI bots don’t need to be evil — or even particularly smart — to rig the market. Left alone, they’ll learn it themselves.
“You can get these fairly simple-minded AI algorithms to collude” without being prompted, Itay Goldstein, one of the researchers and a finance professor at the Wharton School of University of Pennsylvania, said in an interview. “It looks very pervasive, either when the market is very noisy or when the market is not noisy.”
Tomi Engdahl says:
Mark Gurman / Bloomberg:
Sources: Apple formed an Answers, Knowledge, and Information team to work on ChatGPT-like search experiences; iPhone 17 Pro may have been seen in live testing — Apple has a new “Answers” team developing a stripped-down rival to ChatGPT to help users access world knowledge.
https://www.bloomberg.com/news/newsletters/2025-08-03/apple-s-chatgpt-rival-from-new-answers-team-iphone-17-spotted-in-the-wild-mdvmqs6g
Tomi Engdahl says:
Wall Street Journal:
How Disney is grappling with integrating AI into its filmmaking process while safeguarding IP and addressing legal uncertainty, fan backlash, and union concerns — The stakes are especially high for the studio, caught between how to use artificial intelligence in the filmmaking process …
Is It Still Disney Magic If It’s AI?
The stakes are especially high for the studio, caught between how to use artificial intelligence in the filmmaking process and how to protect its famed characters against it
https://www.wsj.com/business/media/disney-ai-hollywood-movies-5982a925?st=5SC5Lb&reflink=desktopwebshare_permalink
When Disney DIS -2.12%decrease; red down pointing triangle
began working on a new, live-action version of its hit cartoon “Moana,” executives started to ponder whether they should clone its star, Dwayne Johnson.
The actor was reprising his role in the movie as Maui, a barrel-chested demigod, but for certain days on set, Disney had a plan in place that wouldn’t require Johnson to be there at all.
Under the plan they devised, Johnson’s similarly buff cousin Tanoai Reed—who is 6-foot-3 and 250 pounds—would fill in as a body double for a small number of shots. Disney would work with AI company Metaphysic to create deepfakes of Johnson’s face that could be layered on top of Reed’s performance in the footage—a “digital double” that effectively allowed Johnson to be in two places at once.
What happened next was evidence that Hollywood’s much-discussed, and much-feared, AI revolution won’t be an overnight robot takeover.
Johnson approved the plan, but the use of a new technology had Disney attorneys hammering out details over how it could be deployed, what security precautions would protect the data and a host of other concerns. They also worried that the studio ultimately couldn’t claim ownership over every element of the film if AI generated parts of it, people involved in the negotiations said.
Disney and Metaphysic spent 18 months negotiating on and off over the terms of the contract and work on the digital double. But none of the footage will be in the final film when it’s released next summer.
A deepfake Dwayne Johnson is just one part of a broader technological earthquake hitting Hollywood. Studios are scrambling to figure out simultaneously how to use AI in the filmmaking process and how to protect themselves against it. While executives see a future where the technology shaves tens of millions of dollars off a movie’s budget, they are grappling with a present filled with legal uncertainty, fan backlash and a wariness toward embracing tools that some in Silicon Valley view as their next-century replacement.
The Academy of Motion Picture Arts and Sciences is surveying members on how they use the technology. Studio chiefs are shutting down efforts to experiment for fear of angering show-business unions on the eve of another contract negotiation. And no studio stands to gain or lose more in the outcome than Disney—the home of Donald Duck, Belle, Buzz Lightyear and Stitch, among countless others—which has churned out some of the most valuable, and protected, creative works in the world over the past century.
Tomi Engdahl says:
Natallie Rocha / New York Times:
How 20-something CEOs like Cognition AI’s Scott Wu, Cursor’s Michael Truell, Cluely’s Roy Lee, and Scale AI’s Alexandr Wang are swarming San Francisco’s AI boom
https://www.nytimes.com/2025/08/04/technology/ai-young-ceos-san-francisco.html
Tomi Engdahl says:
Yuan Gao / Bloomberg:
Xiaomi releases MiDashengLM-7B, an AI voice model under an Apache 2.0 license based on its foundational voice model, deployed in cars and smart home devices
https://www.bloomberg.com/news/articles/2025-08-04/xiaomi-unveils-new-ai-voice-model-to-boost-auto-home-tech
Tomi Engdahl says:
F5′s 2025 AI Strategy Report — Only 2% of Enterprises Are Fully AI-Ready. Most face security gaps like weak data governance and lack of AI firewalls, stalling adoption and innovation. What is your readiness to scale AI?
PRESS RELEASE
F5 Research Finds Most Enterprises Still Fall Short in AI Readiness, Face Security and Governance Issues Blocking Scalability
https://www.f5.com/company/news/press-releases/research-enterprise-ai-readiness-security-governance-scalability
F5’s 2025 State of AI Application Strategy Report reveals 25% of apps on average use AI, yet only 2% of enterprises qualify as being highly AI-ready.
77% of companies are moderately ready for AI but still face significant security and governance hurdles.
71% of organizations use AI to boost security, while only 31% have deployed AI firewalls.
Tomi Engdahl says:
Clément Delangue / VentureBeat:
Hugging Face CEO Clément Delangue says open-source AI is vital for US innovation and the US risks losing the AI race to China if it falls behind in open source
Why open-source AI became an American national priority
https://venturebeat.com/ai/why-open-source-ai-became-an-american-national-priority/
When President Trump released the U.S. AI Action Plan last week, many were surprised to see “encourage open-source and open-weight AI,” as one of the administration’s top priorities. The White House has elevated what was once a highly technical topic into an urgent national concern — and a key strategy to winning the AI race against China.
China’s emphasis on open source, also highlighted in its own Action Plan released shortly after the U.S., makes the open-source race imperative. And the global soft power that comes with more open models from China makes their recent leadership even more notable.
When DeepSeek-R1, a powerful open-source large language model (LLM) out of China, was released earlier this year, it didn’t come with a press tour. No flashy demos. No keynote speeches. But it was open weights and open science. Open weight means anyone with the right skills and computing resources can run, replicate, or make a model their own; open science shares some of the tricks behind the model development.
Within hours, researchers and developers seized on it. Within days, it became the most-liked model of all time on Hugging Face — with thousands of variants created and used across major tech companies, research labs and startups. Most strikingly, this explosion of adoption happened not just abroad, but in the U.S. For the first time, American AI was being built on Chinese foundations.
DeepSeek wasn’t the only one
Within a week, the U.S. stock market — sensing the tremor — took a tumble.
It turns out Deepseek was just the opening act. Dozens of Chinese research groups are now pushing the frontiers of open-source AI, sharing not only powerful models, but the data, code and scientific methods behind them. They’re moving quickly — and they’re doing it in the open.
Meanwhile, U.S.-based companies — many of which pioneered the modern AI revolution — are increasingly closing up. Flagship models like GPT-4, Claude and Gemini are no longer released in ways that allow builders more control. They’re accessible only through chatbots or APIs: Gated interfaces that let you interact with a model but not see how it works, retrain it or use it freely. The model’s weights, training data and behavior remain proprietary, tightly controlled by a few tech giants.
This is a dramatic reversal. Between 2016 and 2020, the U.S. was the global leader in open-source AI. Research labs from Google, OpenAI, Stanford and elsewhere released breakthrough models and methods that laid the foundation for everything we now call “AI.” The transformer — the “T” in ChatGPT — was born out of this open culture. Hugging Face was created during this era to democratize access to these technologies.
Now, the U.S. is slipping, and the implications are profound.
American scientists, startups and institutions are increasingly driven to build on Chinese open models because the best U.S. models are locked behind APIs. As each new open model emerges from abroad, Chinese companies like DeepSeek and Alibaba strengthen their positions as foundational layers in the global AI ecosystem. The tools that power America’s next generation of AI products, research and infrastructure are increasingly coming from overseas.
And at a deeper level, there’s a more fundamental risk: Every advancement in AI — including the most closed systems — is built on open foundations. Proprietary models depend on open research, from transformer architecture to training libraries and evaluation frameworks. But more importantly, open-source increases a country’s velocity in building AI. It fuels rapid experimentation, lowers barriers to entry and creates compounding innovation.
When openness slows down, the entire ecosystem follows. If the U.S. falls behind in open-source today, it may find itself falling behind in AI altogether.
Moving away from black box AI
This matters not just for innovation, but for security, science and democratic governance. Open models are transparent and auditable. They allow governments, educators, healthcare institutions and small businesses to adapt AI to their needs, without vendor lock-in or black-box dependencies.
We need more and better U.S.-developed open source models and artifacts. U.S. institutions already pushing for openness must build on their success. Meta’s open-weight Llama family has led to tens of thousands of variations on Hugging Face. The Allen Institute for AI continues to publish excellent fully open models. Promising startups like Black Forest are building open multimodal systems. Even OpenAI has suggested it may release open weights soon.
With more public and policy support for open-source AI, as demonstrated by the U.S. AI Action Plan, we can restart a decentralized movement that will ensure America’s leadership. It’s time for the American AI community to wake up, drop the “open is not safe” narrative, and return to its roots: Open science and open-source AI, powered by an unmatched community of frontier labs, big tech, startups, universities and non‑profits.
Tomi Engdahl says:
OpenAI’s ChatGPT Agent casually clicks through “I am not a robot” verification test
“This step is necessary to prove I’m not a bot,” wrote the bot as it passed an anti-AI screening step.
https://arstechnica.com/information-technology/2025/07/openais-chatgpt-agent-casually-clicks-through-i-am-not-a-robot-verification-test/
Maybe they should change the button to say, “I am a robot”?
On Friday, OpenAI’s new ChatGPT Agent, which can perform multistep tasks for users, proved it can pass through one of the Internet’s most common security checkpoints by clicking Cloudflare’s anti-bot verification—the same checkbox that’s supposed to keep automated programs like itself at bay.
ChatGPT Agent is a feature that allows OpenAI’s AI assistant to control its own web browser, operating within a sandboxed environment with its own virtual operating system and browser that can access the real Internet. Users can watch the AI’s actions through a window in the ChatGPT interface, maintaining oversight while the agent completes tasks. The system requires user permission before taking actions with real-world consequences, such as making purchases. Recently, Reddit users discovered the agent could do something particularly ironic.
The evidence came from Reddit, where a user named “logkn” of the r/OpenAI community posted screenshots of the AI agent effortlessly clicking through the screening step before it would otherwise present a CAPTCHA (short for “Completely Automated Public Turing tests to tell Computers and Humans Apart”) while completing a video conversion task—narrating its own process as it went.
Tomi Engdahl says:
Mike Isaac / New York Times:
Silicon Valley has shifted from Web 2.0 to a new “hard tech”, AI-dominated era with fewer perks and a more serious mood, as startups use San Francisco as a base
Silicon Valley Is in Its ‘Hard Tech’ Era
https://www.nytimes.com/2025/08/04/technology/ai-silicon-valley-hard-tech.html
Goodbye to the age of consumer websites and mobile apps. Artificial intelligence has ushered in an era of