PCWorld reports that AI subscription providers are implementing new restrictions on flat-rate plans due to financial unsustainability, with users previously accessing $14,000 worth of API tokens for just $200 monthly. Anthropic is limiting Claude subscribers' access to Fable features, while OpenAI's new GPT-5.6

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OpenAI proposes handing U.S. government a 5% stake, report says OpenAI has discussed giving the U.S. government a 5% stake as artificial intelligence firms face scrutiny in Washington. OpenAI has discussed giving the U.S. government a 5% stake, the Financial Times reported on Thursday, as artificial intelligence firms face scrutiny in Washington over the likely misuse of advanced models and whether Americans would benefit from the industry's massive valuations. The ChatGPT creator has proposed that other U.S. AI firms also give Washington similar stakes, although it is unclear whether they would agree, the report said, citing two people familiar with the talks. The move follows growing public backlash in the U.S. over AI's potential to cause economic upheaval, including layoffs, and could help OpenAI sweeten ties with an administration that is increasingly taking an active role in regulating the technology. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

Zhipu's AI service on the web, dubbed Z.ai. BEIJING/BENGALURU - Since DeepSeek shocked markets early last year with its cheap but powerful artificial intelligence model, global consumers have been faced with a choice: Chinese offerings with lower prices and less capability or OpenAI or Anthropic, which have poured billions into development. A model called GLM-5.2, launched last month by Beijing-based startup Z.ai, may finally be closing that gap in terms of Western interest. GLM-5.2 has Silicon Valley buzzing with its coding and agent capabilities, or the ability to execute complex tasks with minimal prompting, that almost rival leading U.S. offerings at a fraction of the cost, in what some experts are calling a "mini DeepSeek moment." In a time of both misinformation and too much information, quality journalism is more crucial than ever.

Aqueous solubility is a key property in early-stage drug discovery, but most predictive models merge physicochemical descriptors and molecular graph information into a single representation, obscuring whether a prediction is driven by global chemistry, molecular structure, or both. We present an additive deep-learning framework that keeps these two sources of information separate throughout training: physicochemical descriptors are encoded by a multilayer perceptron (the chemical branch) and molecular graph topology by a graph neural network (the structural branch), with the two outputs combined only at the prediction stage through an additive model with an optional multiplicative interaction. This design provides a direct decomposition of chemical and structural components that can be examined separately after training. Furthermore, pretraining on the larger AqSolDB dataset and fine-tuning on the smaller BigSolDB2 dataset substantially improve accuracy and reduce run-to-run variations, indicating generalizability of the learned features from the data-rich settings. We further interpret the fitted model using best linear projections of the branch outputs, molecule-level embedding summaries across solubility classes, and atom-level GNNExplainer masks aggregated over functional groups. These analyses show that the chemical branch aligns with familiar physicochemical descriptors, while the structural branch captures graph-topological and functional-group patterns associated with solubility. Across both datasets, the framework attains competitive predictive performance while making the distinct roles of chemical and structural information more transparent.

AI is'not smart' so what's next in artificial intelligence? We don't have robots that are nearly as good at understanding the physical world as a rat, says Yann LeCun, one of the leading figures in the world of artificial intelligence. He worked at Facebook-owner, Meta, for a decade, where he was chief AI scientist, but left in 2025 and founded Advanced Machine Intelligence Labs (AMI Labs). His goal is to move AI beyond current systems like ChatGPT, Claude and Gemini. They have their uses, he says, but will never be able to tackle complicated situations in the real world, like getting a robot to do household chores.

Meta appears to have soft-launched a new app called Pocket that's aimed at getting people to vibe-code their own minigames. Mobile developer and reverse engineer Alessandro Paluzzi spotted Pocket and posted about it to X today, but reporting platform AppFigures told TechCrunch that the app has been available on both iOS and Android since June 29. Though the app is listed publicly, it's not available in the US on any of the half dozen phone models associated with our Google accounts, and a help page on Meta's site says the Pocket app is not yet available everywhere. The company has not made any public announcement yet about the launch or where the app is being trialed. We've reached out for comment and will update this post if we receive a response.

The drama reveals just how deeply Silicon Valley has sunk its claws into Hollywood. Enter your email to receive alerts for this author. You can manage your newsletter subscriptions at any time. You're already subscribed to the aa_Nitish_Pahwa newsletter. You can manage your newsletter subscriptions at any time.

The Download: a startup has a solution for AI's groupthink problem Plus: Scientists say they have built a cell from scratch for the first time. LLMs are stuck in a groupthink groove. This startup is trying to get them out. Open up your chatbot of choice--Claude, ChatGPT, Gemini--and type "Give me a random number between 1 and 10." You're going to get 7. Almost always. That won't work every time--but if it did for you, you may wonder if I have superpowers. The truth is that most large language models are stuck in a rut.

PCWorld examines whether Microsoft's core productivity apps like Word, Excel, and PowerPoint can withstand disruption from advancing AI technology. External AI applications such as ChatGPT and Claude now offer similar document formatting, content creation, and synthesis capabilities that rival Microsoft's own Copilot feature. The analysis suggests Microsoft's traditional productivity suite may become obsolete as AI chatbots increasingly handle tasks previously requiring dedicated office applications. Are Microsoft's core productivity apps -- Word, Excel, and PowerPoint -- endangered by the rise of AI? That's the point that Bloomberg and its sources addressed in coverage this week, noting that Microsoft is being buffeted by AI disruption as its stock plunges. "Whether Microsoft Word or Excel will be rendered obsolete by AI remains to be seen," said Jack Ablin, chief investment strategist at Cresset Wealth Advisors, which owns the stock, according to Bloomberg. "We don't know what the environment is going to look like in a few years, which opens up very real questions like, will we even use a Microsoft suite anymore?" Keith Fitz-Gerald, principal at the Fitz-Gerald Group, added.