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Just a couple of weeks after SpaceX released its Grok 4.7 model and claimed that it was competitive with frontier models in coding and knowledge work, the company is now letting those models do Grok’s work. CEO Elon Musk announced via Twitter that the Grok Bot agent service will now select from a range of different models before choosing “whatever is most likely to give you the best outcome” for a user’s request. Per Musk, available models will include Ant

The wall-of-text responses that ChatGPT is known for will apparently soon be a thing of the past. The company announced Wednesday that its GPT-6 family of models will now have access to “Intelligent UI,” which will result in the chatbot producing more visual outputs, including “graphics, tappable buttons, forms, charts, and interactive experiences.” Per the company, when it makes sense for an answer to include more visualizations or interactive elements, t

A new letter from insiders about the potential dangers of AI is refreshingly specific. The writers are concerned, according to the Wall Street Journal, about preserving the ability to monitor models’ chains of thought. But the authors aren’t technically insiders now, because they were recently fired. Last week, OpenAI announced that it had “parted ways with three individuals for violating our policies on accessing and handling sensitive company information

A report based on data from OpenRouter, and seen by the Wall Street Journal, shows that OpenAI has made what looks like massive progress in its effort this year to contend with Anthropic’s dominance in coding and productivity—the sort of tasks that involve enterprise customers buying compute on a massive scale. At the beginning of 2026, OpenAI’s share was less than 25%. Last month, it was nearly 50%, according to the report. OpenRouter is a company that au

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Donald Trump, a continued threat to the safety and security of the United States, has been obsessed lately with trying to rename artificial intelligence as “super intelligence” by fiat. And a new Truth Social post is a weird escalation in his war on commonly accepted tech terms. “The White House considers anyone that uses the term, ‘Artificial Intelligence,’ as opposed to the highly accepted new and more accurate term, ‘Super Intelligence,’ THE ENEMY!,” wr

The rest lives around the shot. Automatic résumé boosting every four hours, because hh ranks by freshness. Automatic replies to AI screener questionnaires in chats. Nanny—a report on what is happening with my applications and cleanup of stalled negotiations.Everything is wrapped in quiet hooks: Telegram went down—the application still went through; the radar went down—the cadence was unaffected. Nineteen days showed that every one of these try/except block

TAG17@@Simplified diagram: each stage has its own tool, and data is transferred between stages manually.It does not identify a specific company.In September 2026, Alexander Sitnikov, head of Gazprom Neft’s Scientific and Technical Center, called “the systematization of dozens of disparate software systems” the next stage in Gazprom Neft’s development as a digital oil company. Note the wording: dozens of software systems, not dozens of digital twins. I will

You can see an example of transpilation via the linkEvil AI. An oil paintingA few words about PyneSys and PyneCoreAs of 2026, direct sales do not work. To sell anything, you need to follow Microsoft’s EEE strategy: write open-source software and make money from a need caused by shortcomings in that very software. This could be a technical limit of 10,000 connections unless SignalR Core is deployed in the Azure cloud. Or it could be a limit on the number of

Without this file, every new agent would keep stepping on the same rakes. With it, they step on new ones.PitfallsThe most interesting part. All 498 tests run on mocks. Mocks are how the agent imagines the API. Reality turned out to be more inventive.1. Address = warehouseThe first assembled cart looked perfect. I opened the app—and half the items were marked “Sold out”: onions, chicken breast, carrots, cucumbers, and cottage cheese. Yet the API honestly re

Under the hood is everything found in any manufacturing operation:“Who does what” tasks: buy, order, make, design, with photos and deadlines;work orders and operations for a product;warehouse: incoming stock, issuance, material reservations for work orders, storage locations;tools tracked individually, with their history and current holder;drawings and documents with revisions;production comments, shortages, and purchase requests.Everyone sees their own pa

AI_API_URL is set to https://ai.api.cloud.yandex.net/v1.The Yandex API supports OpenAI-compatible calls, so we use the `openai` library while specifying the Yandex service endpoint. Requests are sent to the selected models in Yandex’s cloud.With this setup, we do not need to deploy the models on our own server. However, operation depends on the availability of the external service, and requests require an API key and cloud environment settings.The model UR

Credit: Unsplash/CC0 Public Domain Bay Area laboratories are set to play a central role in the Genesis Mission, a multibillion-dollar effort by the Trump administration to accelerate the nation's artificial intelligence push in the face of technological advances in China. The involvement of Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory and the SLAC National Accelerator Lab in Menlo Park could help ensure the region's positio

Multilayers of alkali metals in carbon-based materials. Credit: Ilya Chepkasov and Alexander Kvashnin/Small Skoltech scientists conducted a study that advances research on future batteries. Their paper, published in Small, sheds light on recent advances in designing multilayered structures of alkali metals, such as lithium, sodium, and potassium, within carbon anode materials. This technology has the potential to transform the energy storage market, enabli

Jensen Huang is CEO of Nvidia, the leader among chip makers that are releasing new and more powerful processors much faster than before. In pursuit of the AI dream, the tech industry this year has plunked down about $400 billion on specialized chips and data centers, but questions are mounting about the wisdom of such unprecedented levels of investment. At the heart of the doubts: overly optimistic estimates about how long these specialized chips will last