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.
3,411 Comments
Tomi Engdahl says:
DeepSeek ei välttämättä toimi optimaalisesti – voi riippua siitä mistä olet ja mikä on ideologiasi
https://muropaketti.com/tietotekniikka/tietotekniikkauutiset/deepseek-ei-valttamatta-toimi-optimaalisesti-voi-riippua-siita-mista-olet-ja-mika-on-ideologiasi/
Tomi Engdahl says:
OpenAI Wants ChatGPT to Be Your Future Operating System
At OpenAI’s Developer Day, CEO Sam Altman showed off apps that run entirely inside the chat window—a new effort to turn ChatGPT into a platform
https://www.wired.com/story/openai-dev-day-sam-altman-chatgpt-apps/
On Monday,OpenAI unveiled a new way to embed third-party apps directly into ChatGPT. At the company’s annual developer conference in San Francisco, CEO Sam Altman said the move would “enable a new generation of apps that are adaptive, interactive, and personalized, that you
Tomi Engdahl says:
Two Nobel Prizes in 2025 were awarded for achievements related to Artificial Intelligence
https://crowdy.ai/two-nobel-prizes-in-2025-were-awarded-for-achievements-related-to-artificial-intelligence/
The Nobel Prize in Chemistry was awarded for outstanding achievements in protein structure research. The laureates were American scientist David Baker and British researchers John Jumper and Demis Hassabis for their contribution to the “unravelling of the code of protein structures.” David Baker was recognised for devising methods to create entirely new types of proteins, an accomplishment scientists had thought to be all but impossible. These new techniques have been exploited to open new horizons in biochemistry and medicine.
On the other hand, John Jumper and Demis Hassabis developed an advanced artificial intelligence model for predicting the complex structures of proteins. The base of this neural network was launched back in 2020, and it represents a serious breakthrough in computational modelling. It has wide applications in areas such as pharmaceuticals and biotechnology.
Tomi Engdahl says:
Wired:
At OpenAI’s DevDay, Sam Altman and Jony Ive spoke in vague terms about the “family of devices” currently under development; Altman says “it will take a while”
Jony Ive Says He Wants His OpenAI Devices to ‘Make Us Happy’
“I don’t think we have an easy relationship with our technology at the moment,” the former Apple designer said at OpenAI’s developer conference in San Francisco on Monday.
https://www.wired.com/story/sam-altman-and-jony-ives-ai-device-dev-day/
Tomi Engdahl says:
Carl Franzen / VentureBeat:
OpenAI unveils the Apps SDK, built on MCP, in preview to let developers build apps for ChatGPT, and says it will begin accepting app submissions later this year — OpenAI’s annual conference for third-party developers, DevDay, kicked off with a bang today as co-founder and CEO Sam Altman announced a new …
OpenAI announces Apps SDK allowing ChatGPT to launch and run third party apps like Zillow, Canva, Spotify
https://venturebeat.com/ai/openai-announces-apps-sdk-allowing-chatgpt-to-launch-and-run-third-party
OpenAI’s annual conference for third-party developers, DevDay, kicked off with a bang today as co-founder and CEO Sam Altman announced a new “Apps SDK” that makes it “possible to build apps inside of ChatGPT,” including paid apps, which companies can charge users for using OpenAI’s recently unveiled Agentic Commerce Protocol (ACP).
In other words, instead of launching apps one-by-one on your phone, computer, or on the web — now you can do all that without ever leaving ChatGPT.
This feature allows the user to log-into their accounts on those external apps and bring all their information back into ChatGPT, and use the apps very similarly to how they already do outside of the chatbot, but now with the ability to ask ChatGPT to perform certain actions, analyze content, or go beyond what each app could offer on its own.
You can direct Canva to make you slides based on a text description, ask Zillow for home listings in a certain area fitting certain requirements, or ask Coursera about a specific lesson’s content while dit plays on video, all from within ChatGPT — with many other apps also already offering their own connections
“This will enable a new generation of apps that are interactive, adaptive and personalized, that you can chat with,” Altman said.
While the Apps SDK is available today in preview, OpenAI said it would not begin accepting new apps within ChatGPT or allow them to charge users until “later this year.”
ChatGPT in-line app access is already rolling out to ChatGPT Free, Plus, Go and Pro users — outside of the European Union only for now — with Business, Enterprise, and Education tiers expected to receive access to the apps later this year.
Tomi Engdahl says:
Rebecca Bellan / TechCrunch:
OpenAI launches AgentKit, a toolkit for building and deploying AI agents, including Agent Builder, which Sam Altman described as like Canva for building agents — OpenAI CEO Sam Altman on Monday announced the launch of AgentKit, a toolkit for building and deploying AI agents, at the firm’s Dev Day event.
OpenAI launches AgentKit to help developers build and ship AI agents
https://techcrunch.com/2025/10/06/openai-launches-agentkit-to-help-developers-build-and-ship-ai-agents/
OpenAI CEO Sam Altman on Monday announced the launch of AgentKit, a toolkit for building and deploying AI agents, at the firm’s Dev Day event.
“AgentKit is a complete set of building blocks available in the open AI platform designed to help you take agents from prototype to production. It is everything you need to build, deploy, and optimize agent workflows with way less friction,” Altman said.
The launch highlights OpenAI’s push to increase developer adoption by making agent building faster and easier. It also signals a competitive move against other AI platforms racing to offer integrated tools for building autonomous agents for enterprises that can perform complex tasks, not just respond to prompts.
Tomi Engdahl says:
Financial Times:
OpenAI’s computing deals with Nvidia, AMD, Oracle, and others have topped $1T, commitments that dwarf its revenue and raise questions about how it can fund them
OpenAI’s computing deals top $1tn
https://www.ft.com/content/5f6f78af-aed9-43a5-8e31-2df7851ceb67
Tomi Engdahl says:
OpenAI:
OpenAI makes Codex generally available, and announces new features: Slack integration, a new Codex SDK, and new admin tools
Codex is now generally available
https://openai.com/index/codex-now-generally-available/
We’re announcing the general availability of Codex and three new features that make it even more useful for engineering teams:
A new Slack integration: Delegate tasks or ask questions to Codex directly from a team channel or thread, just like you would a coworker.
Codex SDK: Embed the same agent that powers the Codex CLI into your own workflows, tools, and apps for state-of-the-art performance on GPT‑5-Codex without extra tuning.
New admin tools: With environment controls, monitoring, and analytics dashboards, ChatGPT workspace admins now have more visibility and control to manage Codex at scale.
Since the Codex cloud agent launched in research preview in May, Codex has steadily evolved into a more reliable and capable coding collaborator. You can now work with it everywhere you code—in your editor, terminal, and the cloud, all connected by your ChatGPT account. Daily usage of Codex has grown by more than 10x since early August, and GPT‑5-Codex is one of our fastest growing models ever, serving over 40 trillion tokens in the three weeks since launch.
Tomi Engdahl says:
Rebecca Bellan / TechCrunch:
Sam Altman says ChatGPT has reached 800M weekly active users, 4M developers “have built with OpenAI”, and OpenAI processes over 6B tokens per minute on its API
Sam Altman says ChatGPT has hit 800M weekly active users
https://techcrunch.com/2025/10/06/sam-altman-says-chatgpt-has-hit-800m-weekly-active-users/
OpenAI CEO Sam Altman said Monday that ChatGPT has reached 800 million weekly active users, marking an increase of adoption among consumers, developers, enterprises, and governments.
ChatGPT’s impressive growth comes as OpenAI is on a race to secure as many AI chips and build as much AI infrastructure as possible. In August, OpenAI said it was on the cusp of reaching 700 million weekly active users, already an increase from 500 million weekly active users at the end of March.
“Today, 4 million developers have built with OpenAI,” Altman said. “More than 800 million people use ChatGPT every week, and we process over 6 billion tokens per minute on the API. Thanks to all of you, AI has gone from something people play with to something people build with every day.”
Tomi Engdahl says:
Casey Newton / Platformer:
Apps in ChatGPT could be OpenAI’s most ambitious platform play to date, drawing parallels with Facebook’s 2007 efforts to become a platform via social graph
OpenAI’s platform play
https://www.platformer.news/openai-dev-day-2025-platform-chatgpt/
Facebook’s social graph went down in the flames of Cambridge Analytica. Will the AI graph fare any better? PLUS: Our new approach to links
Tomi Engdahl says:
MacKenzie Sigalos / CNBC:
OpenAI and AMD announce a deal in which OpenAI could take up to a 10% stake in AMD and deploy up to 6GW of Instinct GPUs over multiple years; AMD jumped 23%+ — – OpenAI and AMD have reached a deal that could see Sam Altman’s company take a 10% stake in the chipmaker
AMD stock skyrockets 23% as OpenAI looks to take stake in AI chipmaker
https://www.cnbc.com/2025/10/06/openai-amd-chip-deal-ai.html
OpenAI and AMD have reached a deal that could see Sam Altman’s company take a 10% stake in the chipmaker
OpenAI will deploy up to 6 gigawatts of AMD Instinct GPUs over multiple years, beginning with a 1-gigawatt rollout in 2026.
AMD issued OpenAI a warrant for up to 160 million shares, with vesting tied to deployment and share price milestones.
Tomi Engdahl says:
Matt Levine / Bloomberg:
A look at the OpenAI-AMD partnership, which added ~$78B to AMD’s market cap and shows OpenAI is good at deals; OpenAI deals also boosted Shopify and Etsy stocks — OpenAI/AMD, Antifraud Co., M&A scoops, World Cup tickets, Gary Gensler’s cell phone and Citadel Insecurities. — OpenAI/AMD
OpenAI Is Good at Deals
https://www.bloomberg.com/opinion/newsletters/2025-10-06/openai-is-good-at-deals
OpenAI/AMD, Antifraud Co., M&A scoops, World Cup tickets, Gary Gensler’s cell phone and Citadel Insecurities.
Tomi Engdahl says:
Rebecca Bellan / TechCrunch:
As part of its deal with AMD, OpenAI will receive the first gigawatt’s worth of AMD’s Instinct MI450 chips in H2 2026, when the chip is scheduled for deployment
AMD to supply 6GW of compute capacity to OpenAI in chip deal worth tens of billions
https://techcrunch.com/2025/10/06/amd-to-supply-6gw-of-compute-capacity-to-openai-in-chip-deal-worth-tens-of-billions/
Tomi Engdahl says:
Sarah Perez / TechCrunch:
MrBeast, who earned an estimated $85M in 2025, says AI-generated videos could threaten creators’ livelihoods, calling it “scary times” for the industry
MrBeast says AI could threaten creators’ livelihoods, calling it ‘scary times’ for the industry
https://techcrunch.com/2025/10/06/mrbeast-says-ai-could-threaten-creators-livelihoods-calling-it-scary-times-for-the-industry/
Tomi Engdahl says:
Ashley Capoot / CNBC:
Deloitte announces a deal to roll out Anthropic’s Claude to more than 470,000 of its employees globally, marking Anthropic’s largest enterprise deployment ever
Anthropic lands its biggest enterprise deployment ever with Deloitte deal
https://www.cnbc.com/2025/10/06/anthropic-deloitte-enterprise-ai.html
Tomi Engdahl says:
Duncan Riley / SiliconANGLE:
Google DeepMind unveils CodeMender, an AI agent that detects, patches, and rewrites vulnerable code to prevent exploits by leveraging Gemini Deep Think models
Google DeepMind unveils CodeMender, an AI agent that autonomously patches software vulnerabilities
https://siliconangle.com/2025/10/06/google-deepmind-unveils-codemender-ai-agent-autonomously-patches-software-vulnerabilities/
Alphabet Inc.’s Google DeepMind lab today shared results for CodeMender, an artificial intelligence-powered agent that automatically detects, patches and rewrites vulnerable code to prevent future exploits.
CodeMember builds on DeepMind’s previous AI-based vulnerability discovery projects such as Big Sleep and OSS-Fuzz, by combining the reasoning power of Gemini Deep Think models with advanced program analysis techniques. The aim is to debug and repair complex security flaws autonomously across massive codebases.
While still only in a research phase, CodeMender has already submitted 72 security fixes to open-source projects, including those spanning more than 4.5 million lines of code. According to DeepMind, CodeMender’s AI-powered agent helps developers and maintainers focus on what they do best — building good software — by automatically creating and applying high-quality security patches.
CodeMender is designed to be both reactive and proactive by instantly patching discovered vulnerabilities and also rewriting existing code to eliminate entire classes of flaws.
In one example, the agent applied “-fbounds-safety” annotations to the libwebp image compression library, the same library exploited in a 2023 zero-click iOS attack. In doing so, it rendered similar buffer overflow vulnerabilities “unexploitable forever,” according to DeepMind researchers.
Tomi Engdahl says:
Robert Hart / The Verge:
OpenAI executive Bill Peebles says Sora users can now stop AI-generated versions of themselves from appearing in certain contexts like videos involving politics
Sora provides better control over videos featuring your AI self
https://www.theverge.com/news/792638/sora-provides-better-control-over-videos-featuring-your-ai-self
It won’t help stop the avalanche of AI slop OpenAI has unleashed.
Sora now lets you rein in your AI doubles, giving you more say on how and where deepfake versions of you make an appearance on the app. The update lands as OpenAI hurries to show it actually cares about its users’ concerns as an all-too-predictable tsunami of AI slop threatens to take over the internet.
The new controls are part of a broader batch of weekend updates meant to stabilize Sora and manage the chaos brewing in its feed. Sora is essentially “a TikTok for deepfakes,” a place to make 10-second videos of pretty much anything, including AI-generated versions of yourself or others (voice included). OpenAI calls these virtual appearances “cameos.” Critics call them a looming misinformation disaster.
Bill Peebles, who heads the Sora team at OpenAI, said users can now restrict how AI-generated versions of themselves can be used in the app. For example, you could prevent your AI self from appearing in videos involving politics, stop it from saying certain words, or — if you hate mustard — stop it from showing up anywhere near the hellish condiment.
Tomi Engdahl says:
Ellesheva Kissin / Financial Times:
Deloitte says it will partially refund payment for an AU$439K Australian government report with multiple errors, after admitting it was partly produced by AI
Deloitte issues refund for error-ridden Australian government report that used AI
https://www.ft.com/content/934cc94b-32c4-497e-9718-d87d6a7835ca
Tomi Engdahl says:
Elissa Welle / The Verge:
Google launches a dedicated AI bug bounty program that offers security researchers up to $30,000 for finding vulnerabilities in its AI products
Google’s AI bounty program pays bug hunters up to $30K
https://www.theverge.com/news/793362/google-ai-security-vulnerability-rewards
Google will dish out the biggest bucks for rooting out ways to command ‘rogue actions’ from its AI bots.
On Monday, Google launched a new reward program dedicated specifically to finding bugs in AI products. Google’s list of qualifying bugs includes examples of the kind of rogue actions it’s looking for, like indirectly injecting an AI prompt that causes Google Home to unlock a door, or a data exfiltration prompt injection that summarizes all of someone’s email and sends the summary to the attacker’s own account.
The new program clarifies what constitutes an AI bug, breaking them down as issues that use a large language model or a generative AI system to cause harm or take advantage of a security loophole, with rogue actions at the top of the list. This includes modifying someone’s account or data to impede their security or do something unwanted, like one flaw exposed previously that could open smart shutters and turn off the lights using a poisoned Google Calendar event.
Bug hunters have already raked in over $430,000 during the two years since the company officially started inviting AI researchers to root out potential avenues to abuse AI features in its products.
Announcing Google’s New AI Vulnerability Reward Program!
https://bughunters.google.com/blog/6116887259840512/announcing-google-s-new-ai-vulnerability-reward-program
Tomi Engdahl says:
Bee Maps, a decentralized mapping project powered by Hivemapper on the Solana blockchain, raised $32M to expand its network by distributing AI-enabled dashcams
Bee Maps Raises $32M to Scale Solana-Powered Decentralized Mapping Network
The fresh capital will be used to distribute more devices, enhance AI models that process and update map features, and boost contributor incentives, Bee said.
By Margaux Nijkerk, AI Boost|Edited by Nikhilesh De
Updated Oct 6, 2025, 11:03 p.m. Published Oct 6, 2025, 6:17 p.m.
Bee device (Hivemapper)
Bee device (Hivemapper)
What to know:
Bee Maps, the decentralized mapping project powered by Hivemapper, has raised $32 million in fresh funding to expand its global contributor network and scale its infrastructure.
The round was led by Pantera Capital, LDA Capital, Borderless Capital and Ajna Capital, marking one of the largest financings in the decentralized physical infrastructure (DePin) sector this year.
The fresh capital will be used to distribute more devices, enhance AI models that process and update map features and boost contributor incentives tied to $HONEY.
Bee Maps, the decentralized mapping project powered by Hivemapper, has raised $32 million in fresh funding to expand its global contributor network and scale its infrastructure, it announced Monday.
“With this funding, we are accelerating global device deployments, expanding coverage, and strengthening our AI pipeline. Demand is not the problem — supply is,” said Ariel Seidman, the co-founder of Hivemapper, in a press release shared with CoinDesk.
Bee Maps is also rolling out a Bee Membership plan, slashing upfront costs from nearly $600 to just $19 a month. The subscription bundles hardware, software, and contributor benefits into one package, lowering the barrier for new participants to join the network.
https://www.coindesk.com/tech/2025/10/06/bee-maps-raises-usd32m-to-scale-solana-powered-decentralized-mapping-network
Tomi Engdahl says:
Jordan Novet / CNBC:
Cerebras CEO Andrew Feldman says the AI chipmaker pulled its IPO filing to share updated financials, admitting it was a mistake not to explain the move sooner
Cerebras CEO explains IPO withdrawal, says AI chipmaker still intends to go public
https://www.cnbc.com/2025/10/06/cerebras-ceo-says-company-still-intends-to-go-public.html
Tomi Engdahl says:
OpenAI:
OpenAI announces apps that work inside ChatGPT, piloting Booking.com, Canva, Coursera, Figma, Expedia, Spotify, and Zillow for logged-in users outside of the EU — A new generation of apps you can chat with and the tools for developers to build them. — Try in ChatGPT(opens in a new window)Start building apps(opens in a new window)
Introducing apps in ChatGPT and the new Apps SDK
A new generation of apps you can chat with and the tools for developers to build them.
https://openai.com/index/introducing-apps-in-chatgpt/
Tomi Engdahl says:
Ben Thompson / Stratechery:
OpenAI’s recent deals with Oracle, Nvidia, Samsung, AMD, SK Hynix, and others, plus its DevDay announcements, show it is making a play to be the Windows of AI
OpenAI’s Windows Play
https://stratechery.com/2025/openais-windows-play/
Tomi Engdahl says:
Belle Lin / Wall Street Journal:
Anthropic and IBM partner to make Anthropic’s Claude models available in IBM’s latest IDE, and IBM aims to make Claude available in more products soon
Anthropic and IBM Partner in Bid for AI Business Customers
The AI startup and enterprise tech giant team up to make Anthropic’s Claude models available to developers on IBM’s software
https://www.wsj.com/articles/anthropic-and-ibm-partner-in-bid-for-ai-business-customers-f64dee55?st=Jtr1mF&reflink=desktopwebshare_permalink
Tomi Engdahl says:
Ctrl-Alt-Deloitte
Consultants Forced to Pay Money Back After Getting Caught Using AI for Expensive “Report”
“Deloitte has a human intelligence problem.”
https://futurism.com/future-society/deloitte-government-ai-hallucinations?fbclid=IwdGRjcANSMC9jbGNrA1Iv_2V4dG4DYWVtAjExAAEegfFANaR1wZ4a5VNwQ-J6gmSbjKMEm_kQ6cnl-dJyjsMWEa4MnYzMY8tvKqQ_aem_yNP45gdTw2JY_OMEsA3oxg
Financial consulting firm Deloitte was forced to reissue the Australian government $291,000 US after getting caught using AI and including hallucinated numbers in a recent report.
As The Guardian reports, Australia’s Department of Employment and Workplace Relations (DEWR) confirmed that the firm agreed to repay the final installment as part of its contract. It had been commissioned in December to review a system that automates penalties in the welfare system in case jobseekers don’t meet their mutual obligations.
However, the “independent assurance review” bore concerning signs that Deloitte had cut corners, and included multiple errors such as references to nonexistent citations — a hallmark of AI slop.
Tomi Engdahl says:
Deloittelta Claude-jättipommi: Käyttöön 470 000 työntekijälle
Justus Vento7.10.202510:08|päivitetty7.10.202510:08Tekoäly
Anthropic sai konsulttijätiltä melkoisen diilin.
https://www.tivi.fi/uutiset/a/16de295e-d5e0-4778-a53a-268fa69bc769
Tomi Engdahl says:
Robin Williams’ Daughter Disgusted by AI Slop of Her Father
“You are taking in the ‘Human Centipede’ of content.”
https://futurism.com/future-society/robin-williams-daughter-disgusted-ai-slop?fbclid=IwdGRjcANSw3JjbGNrA1LDOWV4dG4DYWVtAjExAAEekeFcnD-u9gnBEOmwqj9XP3ip_I-fyfj-CgVNQxllxxLER_iVBGEfhSpqa1I_aem_u6DpvwaC3F101YAVRBfLZw
Zelda Williams, daughter of the late Hollywood comedy icon Robin Williams, has had enough of people sending her AI slop videos of her father.
“Please, just stop sending me AI videos of Dad,” the director wrote in a Stories post on Instagram. “Stop believing I wanna see it or that I’ll understand, I don’t and I won’t.”
“If you’re just trying to troll me, I’ve seen way worse, I’ll restrict and move on,” she added. “But please, if you’ve got any decency, just stop doing this to him and to me, to everyone, even, full stop.”
Tomi Engdahl says:
South Korea’s homegrown AI models challenge global players
One South Korean technology group is combining government-backed research with industry collaborations to drive AI adoption
https://www.ft.com/content/c8989ca0-b500-4a2e-acce-4c52f89a7c85?utm_source=FB&utm_medium=technology&utm_content=paid&fbclid=IwdGRjcANSw7dleHRuA2FlbQEwAGFkaWQBqyazXmqqNgEepcsyfpTzlM7zav8V_VUCd37sDF4v5KM3xZjDShUh3mXjl3Lg7Ias4rVisSw_aem_Jh8ipRvMHVWBFI1rsVqbaQ&utm_id=120232093256380278&utm_term=120232093256430278&utm_campaign=120232093256380278
In August 2025, the South Korean government announced a consortium tasked with developing a domestic artificial intelligence (AI) foundation model to compete with systems like ChatGPT. The move strengthens the country’s sovereign AI strategy to develop solutions using its own domestic infrastructure, data, workforce and networks. Such approaches are growing in strategic importance around the world, with the UK, the United Arab Emirates and India also pursuing distinct strategies.
To develop a self-sufficient AI industry, public-private partnerships are key to encouraging AI transformation across the entire supply chain. South Korea’s consortium enhances multidisciplinary cooperation, uniting start-ups, conglomerates and academic institutions under one programme.
“AI will drive innovation across every industry, and how we prepare for it will redefine the business landscape,” Koo says of AI’s transformational potential. “Beyond enhancing products and services, AI must deliver new value from the customer’s perspective.”
Tomi Engdahl says:
Designing the future: how AI Is transforming the customer banking experience
AI is reshaping banking, from hyper-personalisation to fraud detection, transforming customer service and the digital banking experience
https://www.thebanker.com/partner-content/75051775-4cd2-4e44-8222-d967542af96c?utm_medium=paid-social&utm_source=facebook&utm_campaign=551422-caixabank-partner-content-banking-markets-the-banker-october-2025&utm_content=banks-fi-ww-pc2-fb-short-v4&fbclid=IwdGRjcANSxrlleHRuA2FlbQEwAGFkaWQBqyf81XS_3QEeDwALhh5kVvrwUuBoaJHajeuWIY4QQk4R2s3cydz0ALvd1RNWGlhDkU91e6I_aem_74Yue7XDSR1b2xgFde0l7Q&utm_id=120233775385050269&utm_term=120233780272130269
Tomi Engdahl says:
“AI better deliver.” https://trib.al/D3XBkFF
Don’t Even Blink
The Entire Economy Now Depends on the AI Industry Not Fumbling
“AI better deliver.”
https://futurism.com/future-society/entire-economy-ai-bubble?fbclid=IwdGRjcANUwrxjbGNrA1TCjGV4dG4DYWVtAjExAAEelCmugZBPxhO039kUtUPjlNXZ_oQW2NcqRR44dEk9Lpia7GFRo7ipyree7bs_aem_OlYbRQ9xtQi604HK2mZGnQ
These days, you don’t have to be a Rockefeller financier to know that the US economy is on shaky ground. Utility bills are going through the roof, imported goods are skyrocketing in cost, and job growth is nonexistent. Of course, it doesn’t bode too well that the Rockefeller fellas are trembling too.
Writing in the Financial Times, noted fund manager and former Morgan Stanley investor Ruchir Sharma argued that the US economy has more or less become “one big bet on AI.”
It’s a bold claim, but it’s not hard to see his case. As many economists have been shouting to the heavens, the numbers are looking increasingly grim as wild tech investments keep an otherwise horrendous economy aloft.
As Sharma notes, the billions of dollars being dumped into AI now account for 40 percent of US GDP growth in 2025, with no signs of slowing down. Meanwhile, AI companies have accounted for 80 percent of growth in American stocks.
Even though the stock market isn’t synonymous with the broader economy, Sharma writes that its remarkable growth is drawing in the green stuff from all corners of the globe. In effect, this is stimulating the economy for the ultra-wealthy — with help from Donald Trump’s “Big Beautiful Bill,” which syphons money to the rich — as we’re seeing now in the consumer economy.
“The main reason AI is regarded as a magic fix for so many different threats is that it is expected to deliver a significant boost to productivity growth, especially in the US,” Sharma writes. “[Investors] appear convinced America is building leads in AI innovation, infrastructure and adoption that cannot be matched.”
Yet without AI spending, the US would lose one of the last industries actually bringing in any coin. In other words, “AI better deliver,” as Sharma warns — or the whole house of cards will soon come crashing down.
Tomi Engdahl says:
Cory Doctorow Says the AI Industry Is About to Collapse
“So, you’re saying a third of the stock market is tied up in seven AI companies that have no way to become profitable and that this is a bubble that’s going to burst and take the whole economy with it?”
https://futurism.com/future-society/cory-doctorow-ai-collapse?fbclid=IwVERDUANUwz5leHRuA2FlbQIxMAABHlCxhit6mCDB9JWY0YoJ5nw82C9bkY1zpBKW1YK5tzrI3cVPZZ7arCKR4cZS_aem_QcwG62JtJ_sWCg6GnlhooQ
Tomi Engdahl says:
Songer accused of making songwriting too easy and fun. Witnesses report creating studio-quality tracks “faster than making toast.” Music labels in panic as anyone can now produce hits from their living room. Will you join the musical revolution or be left humming the same old tune?
Make your song now: https://songer.co
Tomi Engdahl says:
“It’s official, Sora 2 is completely boring and useless.” https://trib.al/HLDM70n
Tomi Engdahl says:
LLM-enabled MalTerminal Malware Leverages GPT-4 to Generate Ransomware Code
https://cybersecuritynews.com/llm-enabled-malterminal-malware-gpt-4/
Cybersecurity researchers have identified what is believed to be the earliest known instance of malware that leverages a Large Language Model (LLM) to generate malicious code at runtime.
Dubbed ‘MalTerminal’ by SentinelLABS, the malware uses OpenAI’s GPT-4 to dynamically create ransomware code and reverse shells, presenting a new and formidable challenge for detection and threat analysis.
The discovery highlights a significant shift in adversary tradecraft, where the malicious logic is not hardcoded into the malware itself but is generated on-the-fly by an external AI model.
Tomi Engdahl says:
The Machine Learning Practitioner’s Guide to Agentic AI Systems
https://machinelearningmastery.com/the-machine-learning-practitioners-guide-to-agentic-ai-systems/
Tomi Engdahl says:
‘I realised I’d been ChatGPT-ed into bed’: how ‘Chatfishing’ made finding love on dating apps even weirder
Where once people were duped by soft-focus photos and borrowed chat-up lines, now they have to watch out for computer-generated charm. But it’s one thing to use a witty phrase – another thing entirely to build a whole fake persona …
https://www.theguardian.com/lifeandstyle/2025/oct/12/chatgpt-ed-into-bed-chatfishing-on-dating-apps
Tomi Engdahl says:
“Minut huijattiin ChatGPT:llä sänkyyn” – tällainen ilmiö on “chatfishing”
https://www.ksml.fi/uutissuomalainen/8916053
Generatiivisen tekoälyn hyödyntäminen deittisovelluksissa yleistyy, kertoo brittilehti The Guardian.
Suosituimmissa deittisovelluksissa, kuten Tinderissä ja Hingessä, kommunikaatio tapahtuu pääasiassa tekstimuodossa, mikä saa monet hakemaan apua esimerkiksi ChatGPT:ltä. The Guardianin mukaan jotkut deittailijat saattavat jopa ulkoistaa kokonaisia keskusteluja tekoälylle. Tämä jättää keskustelukumppanin tilanteeseen, jossa hän kokee muodostavansa aitoa yhteyttä toiseen ihmiseen, mutta todellisuudessa keskustelua käydään algoritmin kanssa.
The Guardian kutsuu ilmiötä “chatfishingiksi”, viittauksena niin sanottuun “catfishingiin” eli valheellisen persoonan luomiseen Internetissä.
Tomi Engdahl says:
Building Long-Term Memory in Agentic AI
HITL, InMemory Feature, Feedback Loop and more
https://levelup.gitconnected.com/building-long-term-memory-in-agentic-ai-2941b0cca3bf
Tomi Engdahl says:
Build Your First (or Next) MCP Server with the TypeScript MCP Template
https://www.nickyt.co/blog/build-your-first-or-next-mcp-server-with-the-typescript-mcp-template-3k3f/
Build Your First (or Next) MCP Server with the TypeScript MCP Template
If you’ve been wanting to build your own Model Context Protocol (MCP) server but weren’t sure where to start, I’ve got something that might save you a bunch of time. I recently extracted a TypeScript template from my real-world MCP projects that handles all the boilerplate and lets you focus on what actually matters: building your tools and resources.
Tomi Engdahl says:
AI could prove CIOs’ worst tech debt yet
Feature
Oct 7, 2025
6 mins
Artificial Intelligence
IT Strategy
AI-generated code and rampant AI experimentation can create their own types of costly legacy IT systems — especially when expediency and lack of oversight are the norm.
https://www.cio.com/article/4066681/ai-could-prove-cios-worst-tech-debt-yet.html
Tomi Engdahl says:
Bot In Business
Anthropic Report Finds Dire News About AI’s Effects on Job Market
This is how businesses are really using AI
https://futurism.com/anthropic-report-dire-news-job-market
As businesses across the economy rush to adopt AI, a new report from OpenAI’s competitor Anthropic reveals what the tech is really being used for: instead of helping augment human labor, companies are mainly using AI to automate their jobs.
In numbers, an overwhelming 77 percent of businesses using Anthropic’s Claude AI software showed signs of automation, like “full task delegation,” according to the released by the company this week. Only 12 percent of AI usage appeared to leverage the tech in an augmentation role, like learning or asking the bot for feedback. The report was based on data from Anthropic’s application programming interface, or API, through which customers access the AI software.
Tomi Engdahl says:
https://venturebeat.com/ai/the-most-important-openai-announcement-you-probably-missed-at-devday-2025
OpenAI’s annual developer conference on Monday was a spectacle of ambitious AI product launches, from an app store for ChatGPT to a stunning video-generation API that brought creative concepts to life. But for the enterprises and technical leaders watching closely, the most consequential announcement was the quiet general availability of Codex, the company’s AI software engineer. This release signals a profound shift in how software—and by extension, modern business—is built.
While other announcements captured the public’s imagination, the production-ready release of Codex, supercharged by a new specialized model and a suite of enterprise-grade tools, is the engine behind OpenAI’s entire vision. It is the tool that builds the tools, the proven agent in a world buzzing with agentic potential, and the clearest articulation of the company’s strategy to win the enterprise.
The general availability of Codex moves it from a “research preview” to a fully supported product, complete with a new software development kit (SDK), a Slack integration, and administrative controls for security and monitoring.This transition declares that Codex is ready for mission-critical work inside the world’s largest companies.
“We think this is the best time in history to be a builder; it has never been faster to go from idea to product,” said OpenAI CEO Sam Altman during the opening keynote presentation. “Software used to take months or years to build. You saw that it can take minutes now to build with AI.”
Tomi Engdahl says:
Why enterprise software teams are choosing Codex over GitHub Copilot for mission-critical development
The maturation of Codex is central to OpenAI’s broader strategy to conquer the enterprise market, a move essential to justifying its massive valuation and unprecedented compute expenditures. During a press conference, CEO Sam Altman confirmed the strategic shift.
“The models are there now, and you should expect a huge focus from us on really winning enterprises with amazing products, starting here,” Altman said during a private press conference.
https://venturebeat.com/ai/the-most-important-openai-announcement-you-probably-missed-at-devday-2025
Tomi Engdahl says:
Customize Claude Code with plugins
https://www.anthropic.com/news/claude-code-plugins
Claude Code now supports plugins: custom collections of slash commands, agents, MCP servers, and hooks that install with a single command.
Share your Claude Code setup with plugins
Slash commands, agents, MCP servers, and hooks are all extension points you can use to customize your experience with Claude Code. As we’ve rolled them out, we’ve seen users build increasingly powerful setups that they want to share with teammates and the broader community. We built plugins to make this easier.
Tomi Engdahl says:
Claude Sonnet 4.5 Ranked Safest LLM from Open-Source Audit Tool Petri
https://www.infoq.com/news/2025/10/petri-llm-safety/
Claude Sonnet 4.5 has emerged as the best-performing model in ‘risky tasks’ in early evaluations by Petri (Parallel Exploration Tool For Risky Interactions)— Anthropic’s new open-source AI auditing tool.
Petri joins a growing ecosystem of internal tools from OpenAI and Meta, but stands out for being openly released.
As models grow more capable, safety testing is evolving from static benchmarks to automated, agent-driven audits designed to catch harmful behavior before deployment.
In early trials, Anthropic tested 14 models on 111 risky tasks. Each model was scored across four safety risk categories: deception (knowingly giving false answers), sycophancy (agreeing with users even when incorrect), power-seeking (pursuing actions to gain influence or control), and refusal failure (complying with requests it should decline).
Tomi Engdahl says:
Anthropic prepares Claude Code release for mobile apps
Anthropic prepares a Code section on web and mobile with GitHub integration, repository browsing, and Claude Code tasks tailored to developers.
https://www.testingcatalog.com/anthropic-prepares-claude-code-release-for-mobile-apps/#google_vignette
Tomi Engdahl says:
OpenAI Releases List of Work Tasks It Says ChatGPT Can Already Replace
“Today’s best frontier models are already approaching the quality of work produced by industry experts.”
https://futurism.com/future-society/openai-work-tasks-chatgpt-can-already-replace
ChatGPT maker OpenAI has released a new evaluation, dubbed GDPval, to measure how well its AIs perform on “economically valuable, real-world tasks across 44 occupations.”
“People often speculate about AI’s broader impact on society, but the clearest way to understand its potential is by looking at what models are already capable of doing,” the company wrote in an accompanying blog post.
https://openai.com/index/gdpval/
Tomi Engdahl says:
The 44 occupations where “AI could have the highest impact on real-world productivity” included a litany of professions including real estate sales agents, social workers, industrial engineers, software developers, lawyers, registered nurses, customer service representatives, pharmacists, private detectives, and financial advisors.
The specific tasks, as laid out in a paper, range from creating a “competitor landscape for last mile delivery” for a financial analyst, assessing “skin lesion images” for a registered nurse, and designing a sales brochure for a real estate agent.
Surprisingly, the company found that its competitor Anthropic’s Claude Opus 4.1 was the “best performing model” after being graded by industry experts across 220 tasks, followed by GPT-5, which “excelled in particular on accuracy.”
https://futurism.com/future-society/openai-work-tasks-chatgpt-can-already-replace
Tomi Engdahl says:
Huippuanalyytikko Piilaaksosta sanoo, että tekoäly on kupla: ”Miten tässä on mitään järkeä?”
Ilmassa on kuplan merkkejä. Tästä ollaan yhtä mieltä niin Wall Streetillä kuin Piilaaksossa.
https://yle.fi/a/74-20187804
Miljardi on pieni summa, kun puhutaan tekoälystä. Teknologiaan kaadetaan nyt rahaa ennätysvauhdilla.
Arviot tulevien vuosien tekoälyinvestoinneista vaihtelevat muutamasta biljoonasta yli seitsemään biljoonaan dollariin. Puhutaan siis tuhansista miljardeista.
Jo nyt tekoälyn kehitykseen on laitettu niin paljon rahaa, että sen arvioidaan vastaavan valtaosasta Yhdysvaltain talouskasvua.
Talouslehti Fortune uutisoi syyskuussa saksalaisen pankkijätti Deutsche Bankin laskeneen, että ilman tekoälyinvestointeja Yhdysvallat olisi ajautunut taantumaan.
– Tekoäly ei pelkästään vauhdita Yhdysvaltain puolijohdeteollisuutta, vaan voidaan sanoa, että se pitää pystyssä koko maan taloutta, sanoo huippuanalyytikko Jay Goldberg.
Goldberg on sirumarkkinoita pitkään seurannut analyytikko, joka työskentelee tällä hetkellä Seaport Group -pääomamarkkinayrityksessä. Aiemmin muun muassa Deutsche Bankissa ja puolijohdevalmistaja Qualcommilla työskennellyt Goldberg sanoo tekoälyn lävistäneen koko talouden.
Tomi Engdahl says:
Muutama yhtiö pyörittää koko tekoälymarkkinoita
Tekoälybuumi taustalta löytyy kymmenkunta yhtiötä, jotka voidaan jakaa kahteen ryhmään.
https://yle.fi/a/74-20187804
Ensimmäisenä ovat niin kutsutut hyperskaalaajat eli teknologiayritykset, jotka ovat kasvattaneet infrastruktuurinsa massiivisiin mittasuhteisiin. Tavallisesti tähän ryhmään lasketaan seitsemän yhtiötä: amerikkalaiset Amazon, Google, Meta ja Microsoft sekä kiinalaiset Alibaba, Baidu ja Tencent.
Nämä yhtiöt hallinnoivat valtavia datakeskuksia, jotka pyörittävät tekoälyjärjestelmiä. Ja nämä yhtiöt ovat niitä, jotka syytävät nyt satoja miljardeja dollareita tekoälyyn.
– Tiivistäen voidaan sanoa, että kyseessä on viidestä kuuteen suurta yritystä, jotka tekevät kaikki investoinnit, Goldberg toteaa.
Valtaosa näistä investoinneista päätyy puolijohdevalmistajille eli yhtiöille, jotka rakentavat tekoälyn kehittämiseen ja käyttämiseen tarvittavia siruja.
Tähän toiseen ryhmään kuuluu kolme varteenotettavaa yhtiötä; Nvidia, AMD ja Broadcom.