Artificial intelligence is rapidly changing many aspects of how we work and live. (How many stories did you read last week about self-driving cars and job-stealing robots? Perhaps your holiday shopping involved some AI algorithms, as well.) But despite the constant flow of news, many misconceptions about AI remain.
AI doesn’t think in our sense of the word at all, Scriffignano explains. “In many ways, it’s not really intelligence. It’s regressive.”
IT leaders should make deliberate choices about what AI can and can’t do on its own. “You have to pay attention to giving AI autonomy intentionally and not by accident,”
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Tomi Engdahl says:
Looking to the Future of Smart Glasses
ElectraSight enables ultra-low-power, real-time eye tracking for smart glasses by using non-invasive QVar sensors and on-device tinyML
https://www.hackster.io/news/looking-to-the-future-of-smart-glasses-941d9a0fcaf8
Tomi Engdahl says:
https://www.tomsguide.com/ai/chatgpt/i-put-gemini-vs-chatgpt-to-the-test-with-7-prompts-heres-the-winner
Tomi Engdahl says:
https://www.tweaktown.com/news/102372/microsoft-preparing-to-spend-80-billion-on-new-ai-data-centers-in-2025-alone/index.html
Tomi Engdahl says:
https://techxplore.com/news/2025-01-meta-unveils-hot3d-dataset-advanced.html
Tomi Engdahl says:
Tällaista on koodaus tekoälyn kanssa: aikaa säästyy, mutta virheet voivat yllättää
Teemu Laitila17.12.202406:05|päivitetty20.12.202416:58TekoälyOhjelmistokehitys
Ohjelmakoodin kirjoittaminen saattaa olla yksi parhaita paikkoja tekoälyn hyödyntämiselle.
https://www.tivi.fi/uutiset/tallaista-on-koodaus-tekoalyn-kanssa-aikaa-saastyy-mutta-virheet-voivat-yllattaa/fecc5ee9-9938-4477-a2c1-e37c71f8841c
Tomi Engdahl says:
Meta CEO Mark Zuckerberg has announced sweeping layoffs of what he refers to as “low-performers” at his empire.
Zuckerberg Announces Layoffs After Saying Coding Jobs Will Be Replaced by AI
https://futurism.com/the-byte/zuckerberg-layoffs-coding-jobs-ai?fbclid=IwY2xjawHzvz5leHRuA2FlbQIxMQABHYGWrWv7PW3AIG3Lr2P7LAkOqlk-7ccw9zLCKtHLLryv5ep3KxvPtf2ZzQ_aem_A-bRH9Q3cn6mjIpKV7JfzQ
Meta CEO Mark Zuckerberg has announced sweeping layoffs of what he refers to as “low-performers” at his empire.
According to a company-wide memo obtained by Bloomberg, the Facebook owner is cutting around five percent of its staff. And interestingly, the directive is already in tension with what Zuckerberg told podcaster Joe Rogan last week about how the company was looking to replace “midlevel engineers” with AI. Instead — in a likely concession to AI just not quite being up to snuff yet — he says employees “who aren’t meeting expectations” will be replaced in order to “bring new people in” (emphasis on the “people,” for any AI zealots.)
Tomi Engdahl says:
Biden Signs Executive Order Aimed at Growing AI Infrastructure in the US
The executive order comes on the heels of the Biden administration’s proposed restrictions on exports of AI chips, an attempt to balance national security concerns about the technology with economic interests of producers and other countries.
https://www.securityweek.com/biden-signs-executive-order-aimed-at-growing-ai-infrastructure-in-the-us/
Tomi Engdahl says:
Artificial Intelligence
How to Eliminate “Shadow AI” in Software Development
With a security-first culture fully in play, developers will view the protected deployment of AI as a marketable skill, and respond accordingly.
https://www.securityweek.com/how-to-eliminate-shadow-ai-in-software-development/
In a recent column, I wrote about the nearly ubiquitous state of artificial intelligence (AI) in software development, with a GitHub survey showing 92 percent of U.S.-based developers using AI coding tools both in and outside of work. Seeing a subsequent surge in their productivity, many are taking part in what’s called “shadow AI” by leveraging the technology without the knowledge or approval of their organization’s IT department and/or chief information security officer (CISO).
This should come as no surprise, as motivated employees will inevitably seek out technologies that maximize their value potential while reducing repetitive tasks that get in the way of more challenging, creative pursuits. After all, this is what AI is doing for not only developers but professionals across the board. The unapproved usage of these tools isn’t exactly new either, as we’ve seen similar scenarios play out with shadow IT, and shadow software as a service (SaaS).
Tomi Engdahl says:
https://www.uusiteknologia.fi/2025/01/15/suomeen-13-uutta-tekoalyn-professuuria/
Tomi Engdahl says:
Kannetavia kestomikroja tekoälytuella
https://www.uusiteknologia.fi/2025/01/15/kannetavia-kestomikroja-tekoalytuella/
Saksalainen Werock on esitellyt kestomikrot Intelin Meteor Lake -suorittimilla, jotka tarjoavat 16 ytimen Core Ultra-ytimien lisäksi tekoälyosuudet ja Arc Graphics -grafiikan. Käyttöjärjestelmänä on uusin Windows 11. Ne soveltuvat esimerkiksi teollisuuden kenttähuollon tarpeisiin, joissa vakiomalliset kannettavat mikrot eivät tahdo kestää.
Koneet toimitetaan Microsoftin Windows 11 Pro -käyttöjärjestelmällä, Meteor Lake -sukupolven Intel Core Ultra -suorittimilla, Arc Graphics -grafiikkapiirillä ja enintään 64 gigatavun RAM-muistilla. Koneet ovat yhteensopivia tekoälykehysten OpenVINO-m WindowsML, DirectML ja ONNX RT kanssa. Niissä on myös Microsoftin Copilot-painike, jolla voi kutsua suoraan tekoälyavustajaa.
Tomi Engdahl says:
https://www.uusiteknologia.fi/2025/01/07/tekoaly-valtasi-kulutuselektroniikan-ces25-messut/
Tomi Engdahl says:
“An AI that can effectively be a sort of midlevel engineer.”
Zuckerberg Announces Plans to Automate Facebook Coding Jobs With AI
https://futurism.com/the-byte/zuckerberg-automate-coding-ai
Meta-formerly-Facebook CEO Mark Zuckerberg says he intends to start automating coding jobs with AI — this year
Zuckerberg announced these ambitions, which if realized would send shockwaves throughout Silicon Valley, on an episode of the Joe Rogan Experience podcast, as spotted by Business Insider.
“Probably in 2025, we at Meta, as well as the other companies that are basically working on this, are going to have an AI that can effectively be a sort of midlevel engineer that you have at your company that can write code,” Zuckerberg said in the interview.
A midlevel engineer at Meta, per BI, earns a salary somewhere in the mid-six figures.
Though Zuckerberg doesn’t explicitly say he’ll replace his human grunts outright, putting two and two together as he explains how the AI technology will pan out — or looking at literally any company that has bragged about onboarding AI models — makes the implications for people’s jobs pretty clear.
“In the beginning it’ll be really expensive to run, and you can get it to be more efficient,” the Meta CEO said. “And over time it’ll get to the point where a lot of the code in our apps and including the AI that we generate is actually going to be built by AI engineers instead of people engineers.”
This, Zuckerberg argues, will actually “augment” workers.
“My view on this is like the future people are just going to be so much more creative and they’re going to be freed up to do kind of crazy things.”
Pressed about whether AI will eliminate jobs, Zuckerberg doesn’t offer a direct answer; he just goes into a long spiel about industrialization and how we’re not all farmers anymore.
And as Zuckerberg said, Meta is far from the only one that’s pushing for AI automation in the industry. In December, Salesforce CEO Marc Benioff said that the software giant, which is among the most valuable companies in the world, would no longer be hiring software engineers in 2025. Benioff credited this hiring freeze to productivity gains made with AI technology, including its own Agentforce AI model.
Elsewhere, the CEO of the fintech company Klarna boasted that it had laid off 22 percent of its workforce as a result of embracing AI. And in the tech world at large, thousands of jobs have already been sacrificed amidst the AI arms race to develop the latest models.
Tomi Engdahl says:
Do new AI reasoning models require new approaches to prompting?
https://venturebeat.com/ai/do-new-ai-reasoning-models-require-new-approaches-to-prompting/
Tomi Engdahl says:
There’s DeepSeek’s R1, Google Gemini 2 Flash Thinking, and just today, LlamaV-o1, all of which seek to offer similar built-in “reasoning” to OpenAI’s new o1 and upcoming o3 model families. These models engage in “chain-of-thought” (CoT) prompting — or “self-prompting” — forcing them to reflect on their analysis midstream, double back, check over their own work and ultimately arrive at a better answer than just shooting it out of their embeddings as fast as possible, as other large language models (LLMs) do.
Yet the high cost of o1 and o1-mini ($15.00/1M input tokens vs. $1.25/1M input tokens for GPT-4o on OpenAI’s API) has caused some to balk at the supposed performance gains. Is it really worth paying 12X as much as the typical, state-of-the-art LLM?
https://venturebeat.com/ai/do-new-ai-reasoning-models-require-new-approaches-to-prompting/
Tomi Engdahl says:
micro:bit and AI
Explore AI on and offscreen with tools, resources and more
https://microbit.org/ai/
micro:bit CreateAI
Create AI on your BBC micro:bit using movement and machine learning.
Train a machine learning model on your own movement data and run it on your micro:bit.
https://createai.microbit.org/
Tomi Engdahl says:
https://etn.fi/index.php/13-news/17028-usa-rajoittaa-tekoaelypiirien-vientiae-kiinaan
Tomi Engdahl says:
https://etn.fi/index.php/tekniset-artikkelit/17035-tekoaelyn-vaatima-datan-tallennus-haltuun-nand-flashilla
Tomi Engdahl says:
With Utter Self-Seriousness, Maker of Oreos Admits It’s Using AI To Create New Flavors, Even Though Machines Cannot Taste
https://futurism.com/the-byte/oreo-manufacturer-ai-flavors
As the Wall Street Journal reports, Mondelez — the processed food behemoth that manufactures Oreos, Chips Ahoy, Clif Bars, and other popular snacks — has developed a new AI tool to dream up new flavors for its brands.
Tomi Engdahl says:
Facebook Apparently Trained Its AI by Torrenting Pirated Books Stolen From Authors
https://futurism.com/the-byte/facebook-trained-ai-pirated-books
And Zuckerberg personally approved the piracy, according to these documents.
Free Loaders
Newly unredacted court documents allege that Meta, formerly Facebook, knowingly used pirated books obtained from the online archive Library Genesis to train its AI models, Wired reports.
Tomi Engdahl says:
Just what Facebook needs: more AI. https://trib.al/XcEbHbm
Tomi Engdahl says:
OpenAI’s newest AI model is switching languages to Chinese and others while reasoning, puzzling users and experts
This is why transparency in AI development is so important, says one expert
https://www.techspot.com/news/106355-openai-new-ai-model-switches-languages-mid-reasoning.html
Tomi Engdahl says:
The journey towards a knowledge graph for generative AI
https://www.infoworld.com/article/3801640/the-journey-towards-a-knowledge-graph-for-generative-ai.html
While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge graph.
How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how knowledge can be extracted from unstructured sources and refined over time into a structured, interconnected graph. As we will show in this post, this process underpins the journey from retrieval-augmented generation (RAG) systems to more sophisticated approaches like GraphRAG and Knowledge-GraphRAG.
From isolated nodes to graph of knowledge and knowledge graph
Tomi Engdahl says:
https://sloanreview.mit.edu/article/analytical-ai-a-better-way-to-identify-the-right-ai-projects/
Tomi Engdahl says:
Researchers find the key to AI’s learning power—an inbuilt, special kind of Occam’s razor
https://techxplore.com/news/2025-01-key-ai-power-inbuilt-special.html
Tomi Engdahl says:
https://www.technologyreview.com/2025/01/17/1110086/openai-has-created-an-ai-model-for-longevity-science/
Tomi Engdahl says:
What’s next for agentic AI? LangChain founder looks to ambient agents
https://venturebeat.com/ai/whats-next-for-agentic-ai-langchain-founder-looks-to-ambient-agents/
Tomi Engdahl says:
https://futurism.com/spotify-ai-dj
Tomi Engdahl says:
Replit CEO on AI breakthroughs: ‘We don’t care about professional coders anymore’
https://www.semafor.com/article/01/15/2025/replit-ceo-on-ai-breakthroughs-we-dont-care-about-professional-coders-anymore
Replit has had a turbulent year, but CEO Amjad Masad’s sonorous voice was almost zen-like as he spoke to me on Monday in an airy conference room, sipping coconut water with a view of the sun setting over Foster City, California.
The AI coding company had moved its headquarters out of San Francisco in April, went through layoffs in May, and has seen its headcount cut in half, to about 65 people.
Yet it has grown its revenue five-fold over the past six months, Masad said, thanks to a breakthrough in artificial-intelligence capabilities that enabled a new product called “Agent,” a tool that can write a working software application with nothing but a natural language prompt.
Tomi Engdahl says:
Arduino
https://www.facebook.com/share/p/1E6JRH9YCQ/
Tossa ajankulukseni pistin chatGPT:n hommiin ja käskin tehdä koodia. Ja halleluja! Se osaa!!
Välillä osaa, välillä osaa vähemmän:-).
Se on ihan hyvä apuri, mutta ei se kyllä vielä koodata osaa. Joskus menee joku pitempikin pätkä oikein, mut usein muutaman rivinkin kanssa tulee monenlaista bugia.
Paranee kyllä koko ajan.
Omat kokeilut alan ammattilaisen tuella menivät puihin. Chattari tarjosi samoja toimimattomia ratkaisuja, kuin netistä muutenkin löytyi. Ratkaisu löytyi omin avuin.
Kyllähän se osaa
Tomi Engdahl says:
ros2ai is a next-generation ROS 2 command line interface extension with OpenAI and Ollama.
https://github.com/fujitatomoya/ros2ai
https://discourse.ros.org/t/ros-2-ai-integration-working-group/26119
https://www.reddit.com/r/ROS/comments/12srq2v/do_big_ai_andor_robotics_companies_use_rosros2/
ROS2 Nodes for Generative AI
The ros2_nanollm package provides ROS2 nodes for running optimized LLM’s and VLM’s locally inside a container. These are built on NanoLLM and ROS2 Humble for deploying generative AI models onboard your robot with Jetson.
https://www.jetson-ai-lab.com/ros.html
Tomi Engdahl says:
https://hackaday.com/2025/01/19/robotics-class-is-open/
https://github.com/henki-robotics/robotics_essentials_ros2
Tomi Engdahl says:
Google’s NotebookLM experiments with AI-powered interactive mind maps
https://www.testingcatalog.com/googles-notebooklm-experiments-with-ai-powered-interactive-mind-maps/#google_vignette
Google is reportedly developing an interactive mind map feature for its AI-powered note-taking tool, NotebookLM. This feature is currently under development and has not yet been released. Here’s what is known about it:
The interactive mind map will allow users to:
Generate a visual representation of sources uploaded to their notebooks.
Click on individual items within the mind map to trigger related discussions in NotebookLM’s chat interface.
Potentially export these visualizations into formats like JSON for use in external tools.
Tomi Engdahl says:
With gen AI, McKinsey takes a big Leap forward in new venture building
https://www.mckinsey.com/about-us/new-at-mckinsey-blog/with-gen-ai-mckinsey-takes-a-big-leap-forward-in-new-business-building
January 17, 2025Building a new venture is a mix of art and science. It requires creative inspiration, astute problem-solving, market expertise, data analysis, design execution and hours of iteration, often running on a tight timetable. “It’s a set of highly developed, unique skills and processes that a company may not have as part of its core business,” points out Chris Smith, a McKinsey partner.
Now Leap has launched a gen AI platform, including a suite of copilots, tools, and workflows, which combines proprietary client and McKinsey data to help our teams enhance and accelerate the process of building compelling business ventures, from the initial flash of inspiration to a fully functioning entity.
“New venture building isn’t easy: our analysis shows only about 20 percent of new businesses launched in the past ten years are viable large-scale enterprises today, while about 40 percent of failures are due to poor product–market fit,” says Chris. “With our new gen AI capabilities, we can widen the scope of ideation, create app prototypes for customer testing and develop investment cases, ultimately advancing the build, quality, and scale of the venture.”
In venture building, it’s essential to identify product-market fit as quickly as possible. This requires enhancing the quality of hypotheses, avoiding analysis paralysis, and moving quickly to validate or invalidate ideas. We are using gen AI to help us meet these goals through a simple model:
Amplify skills in small venture teams by augmenting the expertise of product, design, marketing, operations, and engineering talent
Access vast amounts of information to bring forth insights, mimicking capabilities traditionally associated with large corporations but with the agility of a new venture
Act quickly on insights by being alert to data signals from all areas of the venture, including customer feedback, product usage trends, financials, and HR
Tomi Engdahl says:
Explained: Generative AI’s environmental impact
https://news.mit.edu/2025/explained-generative-ai-environmental-impact-0117
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this technology is so resource-intensive. A second piece will investigate what experts are doing to reduce genAI’s carbon footprint and other impacts.
The excitement surrounding potential benefits of generative AI, from improving worker productivity to advancing scientific research, is hard to ignore. While the explosive growth of this new technology has enabled rapid deployment of powerful models in many industries, the environmental consequences of this generative AI “gold rush” remain difficult to pin down, let alone mitigate.
The computational power required to train generative AI models that often have billions of parameters, such as OpenAI’s GPT-4, can demand a staggering amount of electricity, which leads to increased carbon dioxide emissions and pressures on the electric grid.
Furthermore, deploying these models in real-world applications, enabling millions to use generative AI in their daily lives, and then fine-tuning the models to improve their performance draws large amounts of energy long after a model has been developed.
Beyond electricity demands, a great deal of water is needed to cool the hardware used for training, deploying, and fine-tuning generative AI models, which can strain municipal water supplies and disrupt local ecosystems. The increasing number of generative AI applications has also spurred demand for high-performance computing hardware, adding indirect environmental impacts from its manufacture and transport.
“When we think about the environmental impact of generative AI, it is not just the electricity you consume when you plug the computer in. There are much broader consequences that go out to a system level and persist based on actions that we take,” says Elsa A. Olivetti, professor in the Department of Materials Science and Engineering and the lead of the Decarbonization Mission of MIT’s new Climate Project.
Tomi Engdahl says:
AI decodes the calls of the wild
Artificial intelligence could reveal how animals of the land, sea and sky talk to others of their species. By Neil Savage
https://www.nature.com/immersive/d41586-024-04050-5/index.html?utm_source=facebook&utm_medium=paid_social&utm_campaign=CONR_OUTLK_AWA1_GL_PCFU_CFULF_AI-ROBOT&fbclid=IwY2xjawH61illeHRuA2FlbQEwAGFkaWQBqxfEZopTZwEdd1bV77qvha65l_D2WvzTTpcbbwJOUrN4fdT_THvetSWwjYB8fDncX5h0_aem_Ym2tpHl8y-7mA2Elg9Nnjg
Tomi Engdahl says:
Turbocharging Organizational Learning With GenAI
https://sloanreview.mit.edu/article/turbocharging-organizational-learning-with-genai/
By working together, humans and machine agents can significantly expand knowledge-sharing, innovation, and competitive advantage.
Tomi Engdahl says:
Kiusallista: Tutkimuksista paljastui ChatGPT:n käyttöä – tieteen laatu vaarassa
18.1.202514:45
Tekoäly
Tiede
Yhteiskunta
Joissain tutkimusartikkeleissa on suoria sitaatteja ChatGPT:stä.
https://www.uusisuomi.fi/uutiset/kiusallista-tutkimuksista-paljastui-chatgptn-kayttoa-tieteen-laatu-vaarassa/0db7e50b-5232-443d-ae39-65277ae868c4
Tutkimusartikkeleissa esiintyy usein ChatGPT:n tai vastaavan työkalun generoimaa tekstiä, vaikka tutkijat eivät ole myöntäneet tutkimuksien tiedoissa käyttäneensä sellaisia apuna, ilmenee Learned Publishing -tiedelehdessä julkaistusta tutkimuksesta.
Suoraan ChatGPT:n vastauksista kopioitujen tekstien pelätään vaikuttavan tutkimustiedon laatuun.
Tomi Engdahl says:
Beyond Transformers: New AI Architectures Could Revolutionize Large Language Models
Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial intelligence learns and evolves
https://decrypt.co/301639/beyond-transformers-ai-architecture-revolution
Tomi Engdahl says:
Don’t Count Out Human Writers in the Age of AI
The appetite for AI-derived drivel isn’t as strong as many publishers would have you believe, and demand for quality content is growing.
https://www.wired.com/story/dont-count-out-human-writers-in-the-age-of-ai/
Tomi Engdahl says:
Employees Enter Sensitive Data Into GenAI Prompts Far Too Often
The propensity for users to enter customer data, source code, employee benefits information, financial data, and more into ChatGPT, Copilot, and others is racking up real risk for enterprises.
https://www.darkreading.com/threat-intelligence/employees-sensitive-data-genai-prompts
Tomi Engdahl says:
CoAgents: A Frontend Framework Reshaping Human-in-the-Loop AI Agents for Building Next-Generation Interactive Applications with Agent UI and LangGraph Integration
https://www.marktechpost.com/2025/01/17/crewai-a-guide-to-agentic-ai-collaboration-and-workflow-optimization-with-code-implementation/
Tomi Engdahl says:
https://venturebeat.com/ai/beyond-rag-how-cache-augmented-generation-reduces-latency-complexity-for-smaller-workloads/
Tomi Engdahl says:
CoAgents: A Frontend Framework Reshaping Human-in-the-Loop AI Agents for Building Next-Generation Interactive Applications with Agent UI and LangGraph Integration
https://www.marktechpost.com/2025/01/16/coagents-a-frontend-framework-reshaping-human-in-the-loop-ai-agents-for-building-next-generation-interactive-applications-with-agent-ui-and-langgraph-integration/
Tomi Engdahl says:
https://venturebeat.com/ai/not-just-hype-here-are-real-world-use-cases-for-ai-agents/
Tomi Engdahl says:
https://www.marktechpost.com/2025/01/16/sakana-ai-introduces-transformer%C2%B2-a-machine-learning-system-that-dynamically-adjusts-its-weights-for-various-tasks/
Tomi Engdahl says:
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
“People use it much more than we expected.”
Fiscal Shortage
While trying its darndest to become profitable, OpenAI is still falling comically short — which, since it’s the 800-pound gorilla in the nascent AI industry, should probably give pause to its rivals both large and small.
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.
Way back in spring 2023, analyst Dylan Patel told The Information that the company was likely spending around $700,000 per day running ChatGPT, or about 36 cents per query; nowadays, a single query on the company’s most advanced models can cost a staggering $1,000.