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.
3,736 Comments
Tomi Engdahl says:
Älä tee näitä virheitä – uuteen tekniikkaan liittyy kolme perustavanlaista harhaluuloa
Työpaikkojen katoamista tai koneiden aiheuttamaa maailmanloppua ei kannata pelätä ihan vielä.
https://www.is.fi/digitoday/art-2000011575612.html
Tomi Engdahl says:
Lue tiivistelmä
VTT oikoo yleisiä harhaluuloja tekoälystä.
Tekoäly ei tiedä kaikkea eikä vie työpaikkoja lähiaikoina, vaan sen hyödyntäminen vaatii osaamista ja harkintaa.
Tekoälyn käyttöönotto ei aina tee toiminnasta tehokkaampaa, vaan se vaatii huolellista suunnittelua ja oikeanlaista dataa.
Tekoälyn huoleton käyttö voi johtaa tietoturvakatastrofiin.
https://www.is.fi/digitoday/art-2000011575612.html
Tomi Engdahl says:
Tekoälyn järjestelmällinen virheellisyys ei yllätä Turun yliopiston professoria: “Naurattaisi, jos ei itkettäisi”
https://www.ts.fi/uutiset/6801383
Laajimman koskaan tehdyn kansainvälisen tutkimuksen mukaan tekoäly vääristää uutissisältöjä järjestelmällisesti.
Tomi Engdahl says:
Testasimme: Sovellus pystyyn alle minuutissa, lupaa Googlen uusi vibekoodaustyökalu
Justus Vento22.10.202510:54TekoälyOhjelmistokehitys
Vibekoodauksesta on puhuttu viime kuukausina paljon. Moni palvelu lupailee koodausta myös sitä vähemmän osaaville.
https://www.tivi.fi/uutiset/a/b7fbbc49-8a1f-45b1-acff-2f1a684c3530
Tomi Engdahl says:
Googlen AI Studio -palvelu sai uuden päivityksen, jossa tekoälyapurin vibekoodaustyökalut turboahdettiin. Hakukonejätti lupailee palvelun uudesta versiosta suuria: sen mukaan jopa täysi noviisi kasaa apurin kanssa toimivan nettisovelluksen minuuteissa. Työkalun testaaminen on maksutonta, mutta tietyt ominaisuudet, kuten Veo 3.1 ja Cloud Run ovat maksullisen API-avaimen takana.
Tomi Engdahl says:
Tekoälyä ohjataan pian puheella – Näin se muuttaa työelämää
Anne Lahnajärvi21.10.202507:12TekoälyDigitaalinen teknologiaTyöelämä
Jabra on julkaissut yhdessä London School of Economics and Political Sciencen (LSE) kanssa tehdyn tutkimuksen, joka tarkastelee, miten puheeseen perustuva vuorovaikutus generatiivisen tekoälyn kanssa muuttaa työntekoa tulevina vuosina.
https://www.tivi.fi/uutiset/a/3be20d3b-a03d-4a59-a954-153d6ceb43da
Tomi Engdahl says:
https://futurism.com/artificial-intelligence/billionaires-preparing-for-end
Tomi Engdahl says:
Open AI:n väite naurunalaiseksi – GPT-5:n saavutukset eivät pitäneet paikkaansa
Anna Helakallio21.10.202510:00Tekoäly
Väärinkäsitys johti noloon hetkeen Open AI:lla.
https://www.tivi.fi/uutiset/a/c0a7c7b4-f1b1-4de0-8dbe-fa4d7f4a40cf
Tomi Engdahl says:
Tekoälyn kehittyminen on luonut uudenlaisia houkutuksia ja vaaroja hyväntekeväisyysjärjestöille, uutisoi brittilehti The Guardian. Lehti varoittaa ”köyhyyspornon” lisääntymisestä.
https://www.mtvuutiset.fi/artikkeli/tekoalyn-luoma-koyhyysporno-pillastutti-tutkijan-niita-ei-olisi-pitanyt-ikina-julkaista/9242694
Tomi Engdahl says:
Jopa 61 prosenttia suomalaisista on huolissaan tekoälystä – asiantuntija antaa seitsemän ajankohtaista ohjetta tekoälyn käyttäjälle
Tekoäly on tullut jäädäkseen osaksi digitaalista elämäämme niin hyvässä kuin pahassa, ja tekoälyä käytettäessä on huomioitava myös sen luomat tietoturvauhkat. DNA:n vuosittaisen Digitaalinen elämä -tutkimuksen mukaan tekoälyn rooli tietoturvauhkissa huolestuttaakin peräti 61 prosenttia suomalaisista. Asiantuntija antaa vinkit miten omasta tekoälyn käytöstä saa tietoturvallisempaa.
https://corporate.dna.fi/lehdistotiedotteet
Tomi Engdahl says:
https://www.fraktio.fi/tapahtumat/kotimainen-gpu-hostaus-upcloud-webinaari
Tomi Engdahl says:
THE ULTIMATE
CREATION MACHINE
The world’s first autonomous synthetic agent that turns your creativity into reality. Create music, books, videos, reports and more.
https://go.supercool.com/cool-67
Tomi Engdahl says:
https://aimusicapp.org/w2a/customvoice_v2?target=meta&utm_source=facebook_w2a&utm_campaign=MyTunes_Facebook_iOS_WW_NonUS_web_w2a_7day_AfterPurchase_CustomVoice_08102025&utm_adset_id=120233938931720789&utm_adset=MyTunes_Facebook_iOS_WW_NonUS_web_w2a_7day_AfterPurchase_CustomVoice_08102025&utm_adname=EN_MTN_437v2%20%5BCUSTOM%20VOICE%5D&utm_campaign_id=120233938931730789&utm_ad_id=120233940855390789&utm_placement=Facebook_Mobile_Feed&fbclid=Iwb21leANnVGFleHRuA2FlbQEwAGFkaWQBqyiIdPkHRQEe5iReZcUa_eUfZoMjSuBXqBtu0WVCAOeIOWdbzwsm4XHJe0Y4A4XOGh8SCuA_aem_xNoqAPzE7–lLlZHv80Glw&utm_medium=paid&utm_id=120233938931730789&utm_content=120233940855390789&utm_term=120233938931720789
Tomi Engdahl says:
https://www.anildash.com//2025/10/22/atlas-anti-web-browser/
Tomi Engdahl says:
Luo kappaleita alle 60 sekunnissa
PIDÄTTELE HENGITYSTÄSI: Kuvaile kappaleesi ja valmistaudu yllättymään
https://songer.co/?fbclid=Iwb21leANnLXFleHRuA2FlbQIxMQABHrGzMXIa_EG6KflIVyeSHSOUHn2ShX1d6qbsm6n3Qf81dce2c-9qCRAbPnzU_aem_AXjFvSFzGdYYrj3sXjfvcA
Tomi Engdahl says:
https://www.facebook.com/share/r/1BamhkQL3d/
Most people are using AI like it’s Google with a better voice.
Asking for summaries..
Explanations.
Shortcuts.
But that’s not creation.
That’s convenience.
SuperCool was built for something else entirely.
For the ones who want to create.
The Dreamers.
The storytellers.
The designers.
The founders.
The students up at two in the morning chasing an idea they can’t explain yet.
You don’t just prompt SuperCool, you collaborate with it.
It listens beneath the words,
feels the rhythm of what you mean,
and turns thought into form.
A novel. A song.
A presentation. A proposal.
A short film. A brand.
You think, it builds.
You imagine, it finishes.
You blink… and something that didn’t exist before now does.
This isn’t about speed.
It’s about freedom.
The freedom to create without friction,
without waiting,
without wondering if you’re capable.
Because most will use AI to get answers.
But a few will use it to make something worth answering for.
Don’t be ordinary, be SuperCool.
https://go.supercool.com/super
Tomi Engdahl says:
Nvidia sijoittaa miljardi dollaria Nokiaan – Kurssi raketoi yli 15 prosentin nousuun
Sijoitus tulee uuden strategisen kumppanuuden lisäksi.
https://www.kauppalehti.fi/uutiset/a/410fc1e8-958a-44d7-abc4-81889eaf9867?fbclid=IwdGRjcANt4hhleHRuA2FlbQIxMQABHp92y0DSsumLFUYUhegEyyL2pawp7Q-Uh1n-x05b57kDhtmp8ge_gMx67krU_aem_OixBdEgMIUX_GjszO1c-JA
Verkkoteknologiayhtiö Nokia kertoo tiedotteessa, että puolijohdejätti Nvidia sijoittaa yhtiön osakkeisiin miljardi dollaria 5,16 euron osakekohtaisella hinnalla. Kokonaissumma vastaa 0,86 miljardia euroa.
Tomi Engdahl says:
Nvidia sijoittaa miljardi dollaria Nokiaan, osake kallistui 21 prosenttia Helsingin pörssissä
Nokia|Nokian toimitusjohtajan Justin Hotardin mukaan yhteistyö Nvidian kanssa tarkoittaa, että ”tekoälydatakeskus” tulee jokaisen taskuun.
https://www.hs.fi/talous/art-2000011590109.html?fbclid=IwdGRjcANuBntleHRuA2FlbQIxMQABHr40Hv_NZVlK-xmKyFjKf6FY_91ou6JiHoPzyRYXprEhushxGnoltDhNKCNb_aem_4ZiaAZ3jnaeQ3GSHdvgIAA
Puolijohdeyhtiö Nvidia sijoittaa miljardi dollaria eli 860 miljoonaa euroa verkkolaitteita valmistavaan Nokiaan suunnatussa osakeannissa.
Nokia käyttää osakeannista hankkimansa varat strategiansa vauhdittamiseen ja aikoo kiihdyttää radioverkko-ohjelmistojensa kehittämistä Nvidian arkkitehtuurissa.
”Lisäksi Nokia aikoo lisätä investointeja edistääkseen strategista tavoitettaan vahvistaa asemaansa tekoäly- ja pilvipalvelumarkkinoilla tarjoamalla datakeskuksille räätälöityjä verkkoratkaisuja osana verkkoinfrastruktuurin liiketoimintaa”, tiedotteessa sanotaan.
Nvidia on maailman johtava puolijohdeyhtiö tekoälyn hyödyntämisessä. Sijoituksen julkistamisen seurauksena Nokian osakkeen arvo kohosi Helsingin pörssissä 21 prosenttia 6,59 euroon. Uutistoimisto Bloombergin mukaan se oli suurin arvonnousu yhden päivän aikana vuoden 2013 jälkeen.
New Yorkin pörssissä Nokian osake kohosi kello 19.30 Suomen aikaa 25 prosenttia.
Tomi Engdahl says:
”Seuraava harppaus tietoliikenteessä ei ole vain siirtyminen 5g:stä 6g:hen, vaan se on verkon perusteellinen uudelleensuunnittelu, joka mahdollistaa tekoälypohjaisen yhteyden”, sanoo Nokian toimitusjohtaja Justin Hotard tiedotteessa.
Hänen mukaansa Nokian ja Nvidian yhteistyö tarkoittaa, että ”tekoälydatakeskus” tulee jokaisen taskuun.
”Sen sijaan, että yhdistämme ihmisiä [connecting people], yhdistämme älykkyyttä”, Hotard sanoi lehdistötilaisuudessa.
https://www.hs.fi/talous/art-2000011590109.html?fbclid=IwdGRjcANuBw1leHRuA2FlbQIxMQABHr40Hv_NZVlK-xmKyFjKf6FY_91ou6JiHoPzyRYXprEhushxGnoltDhNKCNb_aem_4ZiaAZ3jnaeQ3GSHdvgIAA
Tomi Engdahl says:
Yhteistyön seurauksena Nokia ja Nvidia kehittävät tekoälyn perustuvia verkkoratkaisuja. Tämä tarkoittaa, että Nokian datakeskusverkkojen kytkentä- ja optisia teknologioita yhdistetään Nvidian tekoälyinfrastruktuuriin ja arkkitehtuuriin
Tomi Engdahl says:
”Sijoitus vaikuttaa hyvin yllättävältä, koska Nokia ei varsinaisesti tarvitse uutta pääomaa. Nvidian näkökulmasta kyse on siitä, että yhtiö haluaa päästää käsiksi matkapuhelinverkkoihin. Vastineeksi Nvidia auttaa Nokiaa pääsemään käsiksi datakeskuksiin”, sanoo finanssiyhtiö Danske Bankin analyytikko Sami Sarkamies.
Tomi Engdahl says:
“Tuoreen tutkimuksen mukaan suurin osa ihmisistä luottaa sokeasti ChatGPT:n kaltaisiin palveluihin miettimättä mahdollisuutta, että niiden antamat tulokset voivat olla vääriä tai vääristyneitä.” Jos nyt ilkeästi sanoisi niin voisi kysyä onko tutkittu mihin karhu itse asiassa kakkaa.
Tutkimus vahvisti pelot: Ihmiset luottavat sokeasti ChatGPT:hen – Näin saat parempia tuloksia
Suvi Korhonen30.10.202508:54Tekoäly
Tekoälysovellukset eivät tue ihmisen kykyä arvioida omia ajatusprosessejaan tai tekoälyn antamia tuloksia.
https://www.tivi.fi/uutiset/a/555c01bc-6ffe-4fae-ae91-a6388c1ae9e0?fbclid=IwdGRjcANwAIFjbGNrA3AAOmV4dG4DYWVtAjExAAEefjH6r6hQWU8iYvBlA1EsoCHxqu9DyDqnwP8P2M6XOJ7CPZBVaI6pCbhEesI_aem__8xhw930isJ5EdMSSDBgmQ
Tuoreen tutkimuksen mukaan suurin osa ihmisistä luottaa sokeasti ChatGPT:n kaltaisiin palveluihin miettimättä mahdollisuutta, että niiden antamat tulokset voivat olla vääriä tai vääristyneitä. Omia aivoja ei kuitenkaan voi laittaa täysin narikkaan ilman, että siitä syntyy riskejä.
Tomi Engdahl says:
Microsoft ylitti odotukset − Open AI -sijoituksesta kolmen miljardin tappio
Microsoftin tulos ylitti analyytikko-odotukset, mutta Wall Streetin jälkipörssissä osake laskee.
https://www.kauppalehti.fi/uutiset/a/8bcaffeb-54b7-4e4d-aaef-52943c4272d8
Ohjelmistoyhtiö Microsoftin tilivuoden ensimmäisen vuosineljänneksen liikevaihto kasvoi odotuksia paremmin, mutta yhtiön nettotulosta rasittivat Open AI -sijoitusten tappiot.
Tomi Engdahl says:
Microsoft panosti tekoälyyn ostamalla lähes kolmanneksen OpenAI:sta
https://muropaketti.com/tietotekniikka/tietotekniikkauutiset/microsoft-panosti-tekoalyyn-ostamalla-lahes-kolmanneksen-openaista/
Microsoft osti 27 prosentin osuuden OpenAI:sta 135 miljardia dollarin sijoituksella.
Microsoft on kasvattanut panostustaan tekoälyyn ostamalla 27 prosentin osuuden OpenAI:sta yhteensä 135 miljardin dollarin arvoisella kaupalla. Yhtiö on tehnyt yhteistyötä ChatGPT:n, Soran ja Whisperin kehittäneen OpenAI:n kanssa jo vuosien ajan, mutta uusi sopimus syventää kumppanuutta merkittävästi.
Microsoftin ja OpenAI:n yhteisessä tiedotteessa kerrotaan, että uusi vaihe “vahvistaa kumppanuuden perustaa ja luo pohjan pitkäaikaiselle menestykselle”. Samalla yhtiö korostaa tekoälyn roolia tulevaisuuden kehityksessä, myös pelialalla.
Tomi Engdahl says:
Microsoft Increases OpenAI Investment
https://insider-gaming.com/microsoft-increases-openai-investment/
Microsoft has announced that it’s increasing its investment in AI. On Tuesday, it was announced that the company purchased a 27% stake in OpenAI for $135 billion.
Microsoft has had a partnership with OpenAI for years, but Tuesday’s announcement increases that commitment to the AI-based company behind ChatGPT, Sora, Whisper, and more.
“What began as an investment in a research organization has grown into one of the most successful partnerships in our industry,” the joint press announcement says. “As we enter the next phase of this partnership, we’ve signed a new definitive agreement that builds on our foundation, strengthens our partnership, and sets the stage for long-term success for both organizations.”
Tomi Engdahl says:
OpenAI sitoutunut 1 400 miljardin dollarin laskentatehohankintoihin – liiketoiminnan kasvun on pakko jatkua kovana
https://mobiili.fi/2025/10/29/openai-sitoutunut-1-400-miljardin-dollarin-laskentatehohankintoihin-liiketoiminnan-kasvun-on-pakko-jatkua-kovana/
Tekoäly-yhtiö OpenAI on sitoutunut peräti 1,4 biljoonan dollarin eli noin 1 200 miljardin euron laskentatehohankintoihin tulevien vuosien aikana.
OpenAI:n toimitusjohtaja Sam Altman kertoi yhtiön sitoumuksista tiistaina 28. lokakuuta, kun OpenAI tiedotti yritysrakenteensa uudelleenjärjestelystä.
Uudelleenjärjestelyn myötä voittoa tavoitteleva OpenAI-yhtiö on nyt muuttunut itsenäiseksi Public Benefit Corporation -yhtiöksi OpenAI Group PBC:ksi, josta Microsoft, sijoittajat, työntekijät sekä erillinen voittoa tavoittelematon OpenAI Foundation -säätiö omistavat osuuksia.
Microsoftin osuus OpenAI Groupista on nyt 27 prosenttia ja OpenAI Foundationin 26 prosenttia, lopun jakautuessa muille sijoittajille ja työntekijöille.
OpenAI:n arvoksi uudelleenjärjestelyssä on määritetty 500 miljardia dollaria, jolla arvostuksella sijoittajat syksyllä 2025 hankkivat OpenAI:n osakkeita OpenAI:n työntekijöiltä ja varhaisilta sijoittajilta osakemyynnissä.
Kesän aikana OpenAI teki Oraclen kanssa 300 miljardin dollarin sopimuksen laskentatehon tarjoamisesta vuodesta 2027 alkaen. Lisäksi OpenAI ilmoitti kumppanuudesta Nvidian kanssa: Nvidia sijoiittaa OpenAI:hin 100 miljardia dollaria OpenAI:n hankkiessa 10 gigawatin tehon edestä piirejä Nvidialta. AMD:n kanssa puolestaan OpenAI sopi 6 gigawatin tehon edestä piiritoimituksia saaden samalla oikeuden jopa 10 prosentin omistukseen AMD:sta. OpenAI myös suunnittelee omia tekoälypiirejään yhdessä Broadcomin kanssa. OpenAI:n ja Broadcomin kumppanuus käsittää 10 gigawatin sähkön kulutuksen edestä tekoälykiihdyttimiä ja niillä varustettuja järjestelmiä.
Yritysrakenteen uudelleenjärjestelyn yhteydessä uudistetun Microsoft-sopimuksen osana OpenAI sitoutui ostamaan Microsoftilta 250 miljardilla dollarilla lisää Azure-palveluja.
Kaikkiaan OpenAI:n sitoumukset laskentatehon hankkimisesta tavalla tai toisella sen tarpeita vastaamaan useiden tulevien vuosien aikana yltävät toimitusjohtaja Sam Altmanin mukaan nyt 1,4 biljoonaan dollariin ja 30 gigawatin sähkötehoon.
Kyse on valtavasta summasta, niin absoluuttisesti kuin myös suhteessa OpenAI:n toistaiseksi saavuttamaan liikevaihtoon nopeasta kasvusta huolimatta.
OpenAI kertoi lokakuun alkupuolella ChatGPT:n viikkotason käyttäjämäärän nousseen jo 800 miljoonaan.
Raportoidusti OpenAI:n liikevaihdon kasvu on myös jatkunut nopeana vuoden 2025 aikana. 31. heinäkuuta The Information raportoi OpenAI:n vuositason toistuvan liikevaihdon nousseen jo 12 miljardiin dollariin. Ennusteiden mukaan vuositason toistuva liikevaihto yltäisi lähes 20 miljardiin dollariin vuoden lopulla.
Pääosan liikevaihdostaan OpenAI saa maksullisista ChatGPT-tilauksista.
Vauhdikkaasta liikevaihdon kasvusta huolimatta OpenAI:n kassavirta on edelleen merkittävästi negatiivinen johtuen erityisesti tutkimus- ja tuotekehityskustannuksista, joista valtaosa suuntautuu uusien tekoälymallien kehittämiseen siihen tarvittavan laskentatehon hankkimisen kautta.
Käytännössä OpenAI pystyy selviytymään velvoitteistaan vain, jos ChatGPT:n ja sen muiden tuotteiden ja palvelujen kysynnän kasvu jatkuu tulevinakin vuosina erittäin vauhdikkaana niin, että se edelleenkin jopa moninkertaistuu vuosittain.
Jos tekoälyn kehitys ja kysyntä ei lunasta odotuksia, tulee OpenAI – ja sen mukana koko teknologia-ala – olemaan suurissa ongelmissa yli-investointien vuoksi. Toistaiseksi kysyntä näyttää kuitenkin ehtymättömältä.
Tomi Engdahl says:
Tutkimus: Tekoäly saa ihmiset yliarvioimaan älylliset kykynsä
https://yle.fi/a/74-20191080
Tekoäly saa ihmiset yliarvioimaan älylliset kykynsä, kertoo Aalto-yliopiston tutkimus.
Tutkijat havaitsivat, että kaikki tutkimuksessa mukana olleet ChatGPT:n käyttäjät yliarvioivat oman suorituksensa. Etukäteen arveltiin, että varsinkin ihmiset, joilla on hyvä tekoälylukutaito, olisivat olleet hyviä arvioimaan suoriutumistaan. Näin ei kuitenkaan ollut.
Tomi Engdahl says:
Psykologi kertoo: Miksi älylaitteet vievät mennessään – ja miksi se tuntuu hyvältä?
Vierähtikö älylaitteiden ääressä aiottua enemmän aikaa? Podetko huonoa omatuntoa ruutuajasta? Älylaitteiden ja erityisesti niiden tarjoamien sisältöjen voima on niin vahva, että harva niitä voi kokonaan vastustaa. Kysyimme organisaatiopsykologilta, miksi älylaitteen pois laittaminen on niin vaikeaa.
https://www.dna.fi/blogi/-/blogs/psykologi-kertoo-miksi-alylaitteet-vievat-mennessaan-ja-miksi-se-tuntuu-hyvalta-
Tomi Engdahl says:
Time for Trade School
Microsoft Releases List of Jobs Most and Least Likely to Be Replaced by AI
Great news — if you’re a dishwasher.
https://futurism.com/microsoft-list-jobs-replaced-ai
Researchers at Microsoft tried to determine which precise jobs are most and least likely to be replaced by generative AI — and the results are bad news for anyone currently enjoying the perks of a cushy desk job.
As detailed in a yet-to-be-peer-reviewed paper, the Microsoft team analyzed a “dataset of 200k anonymized and privacy-scrubbed conversations between users and Microsoft Bing Copilot,” and found that the occupations most likely to be made obsolete by the tech involve “providing information and assistance, writing, teaching, and advising.”
The team used the data to come up with an “AI applicability score,” an effort to quantify just how vulnerable each given occupation is, taking into consideration how often AI is already being used there and how successful those efforts have been.
According to the analysis, jobs most likely to be replaced include translators, historians, sales reps, writers, authors, and customer service reps. Jobs that are the safest from AI automation, in contrast, include heavy machinery and motorboat operators, housekeepers, roofers, massage therapists, and dishwashers.
In other words, the sweeping takeaway was that lower-paying and manual labor-focused occupations are far less likely to be automated than occupations that suit the expertise of large language model-based AI chatbots.
However, we should take the results with a healthy grain of salt. For one, we should consider that Microsoft employees are incentivized to paint the technology in the best light by the company’s massive investments in the space, which could lead to overstating generative AI’s capabilities.
Tomi Engdahl says:
Heads, Shoulders, Knees, and Basilar Ganglia
Doctors Horrified After Google’s Healthcare AI Makes Up a Body Part That Does Not Exist in Humans
“What you’re talking about is super dangerous.”
https://futurism.com/neoscope/google-healthcare-ai-makes-up-body-part
Tomi Engdahl says:
Analyysi: Nokia ei aio jäädä toista kertaa saman aallon alle
Kännykkäverkoissa on käynnissä sama kehitys kuin kännyköissä 15 vuotta sitten. Tekoäly voi olla ratkaiseva sysäys, kirjoittaa taloustoimittaja Juha-Matti Mäntylä.
https://yle.fi/a/74-20191035
Tomi Engdahl says:
USA:n armeijan kenraali teki huolestuttavan paljastuksen
Chat GPT:n hyöty sotilaskomentajalle on kyseenalainen.
https://www.iltalehti.fi/digiuutiset/a/80301e8d-212c-44a3-a0bf-55c491679fb0
Yhdysvaltain armeijan kenraalimajuri William ”Hank” Taylor on kohauttanut kommentillaan, jonka mukaan hän käyttää päätöksenteossa apunaan Chat GPT:tä, kertoo Business Insider.
Taylor komentaa Yhdysvaltain 8. armeijaa, joka on sijoitettu Etelä-Koreaan. 8. armeijan verkkosivujen mukaan Taylor on ollut sotilaspalveluksessa vuodesta 1988 alkaen.
Business Insiderin mukaan Taylor paljasti käyttävänsä Chat GPT:tä, kun hän oli mukana eräässä kokouksessa Washington DC:ssä. Hän sanoi käyttävänsä chatbottia päätöksiin, jotka vaikuttavat hänen lisäkseen myös hänen alaisiinsa.
– Chat [GPT] ja minä olemme tulleet toisillemme hyvin läheisiksi viime aikoina, kuuluu Business Insiderin lainaama kohta Taylorin lausunnosta.
Even top generals are looking to AI chatbots for answers
https://www.businessinsider.com/even-top-generals-are-looking-to-ai-chatbots-for-answers-2025-10
Some military leaders are adopting AI for decision-making.
The military has adopted an aggressive push to embrace AI in weapons, aircraft, and combat tech.
A classic military thought process could help drive more commanders to lean on AI.
Tomi Engdahl says:
Head in the Cloud
AWS Outage That Took Down Internet Came After Amazon Fired Tons of Workers in Favor of AI
“As we roll out more Generative AI and agents, it should change the way our work is done.”
https://futurism.com/artificial-intelligence/aws-outage-amazon-fired-workers-ai
When Amazon Web Services suffered an outage on Monday morning, it practically took down the internet with it. There went all of Amazon’s services, from its shopping hub to its Ring doorbell cameras. ChatGPT went quiet. “Smart” mattresses became unsleepable. Video games like Fortnite blinked out, as did platforms like Snapchat and banking apps.
An even greater source of alarm was how long it took to fix the outage. Issues related to the crash were first reported at 3:11 AM EST. Three hours later, the AWS dashboard said the underlying issue had been “fully mitigated.” But it wouldn’t be until 6:53 PM that Amazon announced that all its services were returned to “normal operations.” Over half a day had passed, causing an estimated billions of dollars in lost productivity.
The cause was blamed on a DNS resolution issue.
Amazon has suffered major AWS outages before. But the timing and impact of this one comes just months after an eyebrow-raising personnel decision by the e-commerce giant. In July, its cloud computing unit cut at least hundreds of jobs — and perhaps more — following a warning from CEO Andy Jassy that the adoption of generative AI would lead to layoffs.
“As we roll out more Generative AI and agents, it should change the way our work is done,” Jassy said in a note to employees in June, per Reuters. “We will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs.”
It remains unclear which roles were affected by the layoffs. But if Amazon is relying on AI to pick up the slack in the wake of the AWS layoffs, it could be a stunning example of how efforts to replace human employees with unreliable AI tools and AI agents have backfired.
Technical jobs are some of the most targeted for AI replacement amid the rise of AI coding assistants. Even titans like Google and Microsoft, who can easily afford to pay exorbitant salaries to attract armies’ worth of top talent, are using the tech to get an edge. Twenty-five percent of Google’s new code is written with AI, according to CEO Sundar Pichai; Microsoft CEO Satya Nadella claims at his company this figure is nearly a third.
While AI may speed up workflows — and the jury’s still out on that premise, with several studies, including ones focused on programming tasks, finding that it actually slows them down — one thing it most certainly does not bring to the table is experience.
In a writeup for The Register, Corey Quinn, a cloud computing expert and author of the “Last Week in AWS” newsletter, blasted Amazon for what he saw as a clear dearth of veteran knowhow at AWS amid the outage, scrutinizing the layoffs at the company.
“They legitimately did not know what was breaking for a patently absurd length of time,” wrote Quinn.
“You can hire a bunch of very smart people who will explain how DNS works at a deep technical level,” Quinn continued, “but the one thing you can’t hire for is the person who remembers that when DNS starts getting wonky, check that seemingly unrelated system in the corner, because it has historically played a contributing role to some outages of yesteryear.”
“When that tribal knowledge departs, you’re left having to reinvent an awful lot of in-house expertise,” Quinn wrote. “This doesn’t impact your service reliability — until one day it very much does, in spectacular fashion. I suspect that day is today.”
Tomi Engdahl says:
Nvidia sijoittaa miljardi dollaria Nokiaan – Kurssi raketoi yli 15 prosentin nousuun
Sijoitus tulee uuden strategisen kumppanuuden lisäksi.
https://www.kauppalehti.fi/uutiset/a/410fc1e8-958a-44d7-abc4-81889eaf9867
Tomi Engdahl says:
The Day My Smart Vacuum Turned Against Me
https://codetiger.github.io/blog/the-day-my-smart-vacuum-turned-against-me/
Would you allow a stranger to drive a camera-equipped computer around your living room? You might have already done so without even realizing it.
Tomi Engdahl says:
AI-kupla, konesalit ja sähkö: Sijoittajan näkökulma
Generatiivinen tekoäly on noussut viime vuosien kuumimmaksi teknologiatrendiksi. ChatGPT, Copilot ja muut palvelut lupaavat mullistaa työnteon – mutta niiden taustalla tapahtuu vähemmän näkyvä vallankumous: valtava kapasiteettikilpa datakeskusten rakentamisessa. Sijoittajalle on tärkeää ymmärtää, mitä tämä tarkoittaa käytännössä: energiaa, rahaa ja riskejä. Onko AI-kupla ja kuka kantaa konesalien investointiriskit?
https://www.5feetnetworks.com/2025/09/22/ai-kupla-konesalit-ja-sahko-sijoittajan-nakokulma/
Tomi Engdahl says:
https://www.facebook.com/share/1BkuumvY4B/
Tekoäly itsessään ei vielä luo kilpailuetua, ratkaisevaa on se, missä ja miten sitä hyödynnetään.
Boston Consulting Groupin tutkimuksen mukaan vain 26 % yrityksistä on onnistunut viemään tekoälyn kokeiluista todelliseen liiketoiminta-arvoon, vaikka investointeja tehdään enemmän kuin koskaan.
Onnistumisen ytimessä on suunnitelmallisuus ja ymmärrys siitä, missä tekoäly tuo aidosti arvoa ja miten se tukee liiketoiminnan tavoitteita. Yksi loistava apu tähän on käyttötapausten määrittely, eli konkreettisten tilanteiden kuvaaminen, joissa tekoäly ratkaisee todellisia haasteita ja tehostaa prosesseja.
Blogissa avaamme, miten käyttötapaukset määritellään oikein ja esittelemme kuusi yleisintä aluetta, joissa tekoäly tuottaa todellista arvoa.
Esittelemme myös konkreettisia esimerkkejä tekoälyn hyödyntämisestä, kuten:
tilauskäsittelyn automatisointi
tekoälypohjainen koulutus ja perehdytys
trendiennusteet ja asiakasanalyysit
Lue, miten löydät oman yrityksesi kannalta arvokkaimmat tekoälyn käyttökohteet ja viet ideat käytäntöön.
Tomi Engdahl says:
https://lmstudio.ai/
Local AI, on Your Computer.
Run local AI models like gpt-oss, Qwen3, Gemma3, DeepSeek and many more on your computer, privately and for free.
Tomi Engdahl says:
Mielipidekirjoitus / Tekoälyagentit voivat olla Suomen kilpailukyvylle seuraava loikka eteenpäin – tai takaisku
Jokaisen työntekijän, johtoryhmästä kesätyöntekijään, on ymmärrettävä, että näennäisestä kyvykkyydestään huolimatta tekoälyagentit ovat vain työkalu, jolla on vahvuutensa ja rajansa, kirjoittaa Mikko Lampinen.
https://www.kauppalehti.fi/uutiset/a/9309f968-36a4-4971-ac4b-2452eab45b12
Tomi Engdahl says:
If You Were Bankrolling OpenAI, the Percent of ChatGPT Users Willing to Pay for It Might Make You Break Out in a Cold Sweat
It’s looking grim.
https://futurism.com/artificial-intelligence/openai-percent-chatgpt-users-pay
OpenAI CEO Sam Altman has committed to spending more than $1 trillion to build out AI infrastructure, totaling 26 gigawatts of compute capacity from tech companies including Nvidia, AMD, and Oracle, according to the Financial Times‘ calculations. And that’s just over the last month.
Recouping these astronomical costs isn’t just OpenAI’s problem, either — vast portions of the wider economy are relying on OpenAI’s success, highlighting growing concerns over an AI bubble that could have sweeping implications for the rest of the economy.
Tomi Engdahl says:
ravn is a Linux runtime security and observability agent built with AI and eBPF technology.
https://github.com/guy-davidi/ravn
Tomi Engdahl says:
https://www.marktechpost.com/2025/10/29/microsoft-releases-agent-lightning-a-new-ai-framework-that-enables-reinforcement-learning-rl-based-training-of-llms-for-any-ai-agent/
Tomi Engdahl says:
Reuters: Open AI suunnittelee mammuttimaista pörssilistautumista
Tekoäly-yhtiö Open AI suunnittelee pörssilistautumista, jossa yhtiön arvo voisi nousta jopa tuhanteen miljardiin dollariin. Listautuminen mahdollistaisi nykyistä tehokkaamman pääoman keruun ja suuremmat yritysostot.
https://www.kauppalehti.fi/uutiset/a/ffe4ba1a-13bd-4cd5-b51b-fe53b94c1cd9
Tomi Engdahl says:
Why AI Breaks Bad
Once in a while, LLMs turn evil—and no one quite knows why.
https://www.wired.com/story/ai-black-box-interpretability-problem/
Tomi Engdahl says:
AI agents can leak company data through simple web searches
When a company deploys an AI agent that can search the web and access internal documents, most teams assume the agent is simply working as intended. New research shows how that same setup can be used to quietly pull sensitive data out of an organization. The attack does not require direct manipulation of the model. Instead, it takes advantage of what the model is allowed to see during an ordinary task.
https://www.helpnetsecurity.com/2025/10/29/agentic-ai-security-indirect-prompt-injection/
Tomi Engdahl says:
MCP vs APIs: What’s the Real Difference?
Manish Shivanandhan
Manish Shivanandhan
APIs and MCPs both help systems talk to each other.
At first, they might look the same. Both allow one piece of software to ask another for data or perform an action. But the way they work and the reason they exist are completely different.
https://www.freecodecamp.org/news/mcp-vs-apis-whats-the-real-difference/
Tomi Engdahl says:
Proximity: Open-source MCP security scanner
Proximity is a new open-source tool that scans Model Context Protocol (MCP) servers. It identifies the prompts, tools, and resources that a server makes available, and it can evaluate how those elements might introduce security risks. The tool also work with NOVA, a rule engine that checks for issues such as prompt injection or jailbreak attempts.
https://www.helpnetsecurity.com/2025/10/29/proximity-open-source-mcp-security-scanner/
Tomi Engdahl says:
https://www.cnbc.com/2025/10/31/samsung-nvidia-ai-chips-megafactory.html
Tomi Engdahl says:
From human clicks to machine intent: Preparing the web for agentic AI
https://venturebeat.com/ai/from-human-clicks-to-machine-intent-preparing-the-web-for-agentic-ai
Tomi Engdahl says:
5 must know open-source repositories to build cool AI apps
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ai
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opensource
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agents
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vision
Everywhere I look, teams are racing to ship AI-powered features, from solo founders building chatbots to enterprise teams automating workflows. The momentum is massive, and the big players (OpenAI, Google, and Meta) are pouring billions into new
models.
https://dev.to/tyaga001/5-must-know-open-source-repositories-to-build-cool-ai-apps-3pn7