A proposed class-action lawsuit filed on behalf of Elizabeth Lyon, an author from Oregon, claims that Adobe used pirated versions of numerous books-including her own-to train the company's SlimLM program. Adobe describes SlimLM as a small language model series that can be "optimized for document assistance tasks on mobile devices." It states that SlimLM was pre-trained on SlimPajama-627B, a "deduplicated, multi-corpora, open-source dataset" released by Cerebras in June of 2023.
Last week, Google DeepMind made the Interactions API available as a public beta. The new API represents a fundamental change in how developers work with AI models: from stateless to a stateful architecture with server-side context management. With this move, Google is following the path that OpenAI embarked on in March 2025 with its Responses API. Over the past two years, developers have been working with generative AI via a so-called 'completion' model.
Founded in 2011, Chatterbox Labs focuses on AI security, transparency about AI activity, and quantitative risk analysis. The company's technology provides automated security and safety tests that generate risk metrics for enterprise implementations. This is an important piece of the puzzle in providing the necessary stability for the advance of AI. IDC predicts AI spending of $227 billion in the enterprise market by 2025, but scaling up pilots to production remains costly and complex.
The Turing test, a long-established tool for measuring machine intelligence, gauges the point at which a text-generating machine can fool a human into thinking it's not a robot. ChatGPT passed that benchmark earlier this year, inaugurating a new technological era, though not necessarily one of superhuman intelligence. More recently, however, artificial intelligence passed another threshold, a kind of Turing test for the eye: the images and videos that A.I. can produce are now sometimes indistinguishable from real ones.
In January 2026, Wikipedia will turn 25 years old, a reminder that one of the internet's most‑visited sites began as an experiment many experts assumed would fail. It grew from a simple idea to more than 65 million articles in over 300 languages not by ignoring criticism, but by listening: adding quality controls, building policies, and keeping humans at the center of oversight and content creation.
So he scraped trip reports and psychological research on the effects of various psychoactive substances, wrote a batch of codes modules to hijack chatbot logic and get them to respond as if they are high or tipsy, then built a website to sell them. In October he launched Pharmaicy, a marketplace he's billing as the " Silk Road for AI agents" where cannabis, ketamine, cocaine, ayahuasca, and alcohol can be purchased in code form to make your chatbot trip.
Generating code using AI increases the number of issues that need to be reviewed and the severity of those issues. CodeRabbit, an AI-based code review platform, made that determination by looking at 470 open source pull requests for its State of AI vs Human Code Generation report. The report finds that AI-generated code contains significantly more defects of logic, maintainability, security, and performance than code created by people.
While I was working the other day organically, I opened up one of my favorite AI tools and had an unprompted thought to myself about how grateful I was to have access to this application. That realization then made me think about how many apps have now become an integral part of my everyday workflow, and at this point, many have made the list.
Under the agreement, Hut 8 will develop between 245 megawatts (MW) and up to 2,295 MW of AI-focused data center capacity in the United States, beginning with a flagship project at its River Bend campus in Louisiana. The partnership is structured across multiple tranches, creating a pathway to scale from an initial deployment to gigawatt-level infrastructure over time. The first phase centers on a 245 MW IT deployment at River Bend, supported by roughly 330 MW of utility power.
The mission is both personal and professional for the Nadella, who is pushing the company to rethink how it operates at every level. That's according to internal Microsoft documents obtained by Business Insider, and interviews with leaders, managers, and other employees at the software giant. Sweeping organizational shifts include high-profile executive changes and mandates for teams to work faster and leaner - all designed to consolidate power around AI leaders and radically reshape how the company builds and funds its products.
To relieve some of the pressure, Google is kicking off a new AI-powered tool designed to help you get a handle on the day ahead. Defined by Google as an AI productivity agent, CC sends you a personalized briefing every morning. By connecting to your Gmail and Google Calendar content, CC can see what awaits you in your inbox and calendar. The tool then boils it all down into a game plan for you to follow for the day.
When the company reported Q3 earnings on Nov. 3, it beat on the top and bottom lines with EPS of 21 cents versus 17 cents expected, and revenue of $1.18 billion versus $1.09 billion expected. Palantir issued strong guidance, attributing growth to adoption of its AI software platform. Meanwhile, it announced that government sales - which have been essential to Palantir's rise - grew 52% from the same quarter a year ago.
OpenAI CEO Sam Altman is now maybe taking a page out of Elon Musk's and Trump's playbook, and posting a cheeky AI-generated photo of himself as a sexy calendar firefighter to Xitter. In what's apparently intended to show off the capabilities of Images 1.5, the new image-creation module in ChatGPT, OpenAI's Sam Altman posted the example below. The embedded version cuts off his head, but click through and you'll see it's Sam.
The DeepMind cofounder and CEO said in an episode of "Google DeepMind: The Podcast" published Tuesday that there are likely "bubbles" forming in today's AI funding frenzy, particularly among early-stage startups raising money at huge valuations. Some startups "basically haven't even got going yet," he said, yet are raising at "tens of billions of dollars valuations just out of the gate."
A decade ago, becoming an engineer who specialized in artificial intelligence meant having a Ph.D. and working in a research lab. Not anymore. The landscape has fundamentally shifted, and your goal to how to become a machine learning engineer is more achievable - and strategically vital - than ever.
The appointment comes at a time when web browsers are seeing a revitalization of sorts as AI changes how people use the internet. After more than a decade of dominating the market, incumbents like Firefox, Google Chrome and Apple's Safari are facing a fresh challenge from companies like Perplexity, Arc, OpenAI, and Opera, which are focused on baking in AI models and agents into their browsers to bring AI to users at the first point of contact with the internet: the web browser.
Basware recently introduced InvoiceAI. This is an agentic addition to the AI that the company already uses to process invoices. A concrete example of the usefulness of InvoiceAI is that it not only identifies invoices without a PO number, but also interprets them (i.e., understands what they are for) and makes suggestions for the correct number based on previous invoices from the same party.
Google is testing extremely long and expandable search result snippet descriptions in the search results. These are also AI-generated snippets, which we've seen before, but not this long. This goes on for eight lines of text. This test was spotted by Brodie Clark who posted a video of it on X and on SERPAlerts - here is a GIF of that video:
In a post on X, the Gemini team this team announced that its app now gives local search results in a "rich, visual format," showing photos, tips for visiting, review summaries, ratings, and other important information from Google Maps. Also: Gemini vs. Copilot: I compared the AI tools on 7 everyday tasks, and there's a clear winner Previously, if you used Gemini to find this sort of information, you got mostly text results.