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Article URL: https://techcrunch.com/2026/08/11/blueskys-active-user-base-is-shrinking-as-its-focus-expands-beyond-the-app/ Comments URL: https://news.ycombinator.com/item?id=49263461 Points: 46 # Comments: 80

Article URL: https://www.cftc.gov/PressRoom/PressReleases/9281-26 Comments URL: https://news.ycombinator.com/item?id=49266277 Points: 149 # Comments: 129

Article URL: https://spoorkaart.zaza.dev Comments URL: https://news.ycombinator.com/item?id=49269641 Points: 57 # Comments: 37

Article URL: https://www.abc.net.au/news/2026-08-06/ragebait-how-facebook-is-paying-controversial-creators/106940696 Comments URL: https://news.ycombinator.com/item?id=49269818 Points: 151 # Comments: 78

Article URL: https://gowers.wordpress.com/2026/08/12/what-sort-of-maths-are-llms-good-at/ Comments URL: https://news.ycombinator.com/item?id=49270022 Points: 86 # Comments: 21

Woxi is an interpreter for the Wolfram Language written in Rust. It comes with Woxi Studio, a Mathematica-like GUI built with iced, but you can also use Woxi through a CLI, Jupyter kernel, Python package, npm package, or WASM module. Compared with wolframscript / Mathematica, the main differences are: - Free and open source - Very fast startup - Typically milliseconds rather than seconds for the Wolfram kernel, making Woxi practical for shell scripts, one-liners, and other short-lived processes ...

Track your AI visibility for free (using your own API keys!) Discussion | Link

Turn Anki flashcards into real English conversations Discussion | Link

Swipe right on your next customer Discussion | Link

AI teammates that you can give real work to Discussion | Link

Live research context for ChatGPT and Claude Discussion | Link

Agentic AI Engineer that builds real apps Discussion | Link

AI chat that keeps running after you close the tab Discussion | Link

AI app builder that grows your revenue Discussion | Link

The open source VAPI alternative Discussion | Link

Agentic workflows that deliver the same outcome every time Discussion | Link

Let AI agents put screenshots and videos on pull requests Discussion | Link

The honest credit card picker — no bank login Discussion | Link

A neutral control plane for enterprise AI agents Discussion | Link

Turn two or more Studio Displays into stereo speakers Discussion | Link

The agentic interface Discussion | Link

See where your AI coding spend actually goes Discussion | Link

The open-source shared folder for your team's AI agents Discussion | Link

Run and train AI models locally on your desktop Discussion | Link

When enterprise technology officers evaluate large language model infrastructure, financial analysis almost universally focuses on API list pricing, GPU instance rates, and raw token throughput. Standard accounting models calculate compute expenditure per million tokens, factor expected query volume, and project annual licensing cost. This standard framework omits single largest operational inefficiency in modern commercial models: economic tax imposed by safety alignment paradigms. Reinforcem...

Since the rise of AI technology is growing day by day and AI agents are increasing in the same way with the evolution of tech and user's requirements. And one thing that I keep wondering about is this really solving the problems or creating more problems? As many people have became the victim of AI scams. Is there any solutions that can actually verify who's behind that AI agents or do we even need to verify who's behind the AI agents like actual human or bot? submitted by ...

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Proprietary reasoning can be recovered from its encrypted traces. Anthropic, OpenAI, and Google return encrypted chain-of-thought blocks to clients that can be replayed across sessions, users, and models. We take a trace produced by a frontier model, replay it into a weaker sibling, jailbreak the weaker model, and recover the stronger model’s hidden reasoning in plaintext, without ever attacking the stronger model directly or triggering its anti-distillation safeguards. submitted by &#...

The new rules from the EU about making AI more open and clear have started to be applied. This is making more people think about how companies share information and handle their AI systems. This brings up a question for businesses using AI that creates content and AI helpers. Do rules make it harder for companies to use AI because they have to do more writing, being open, watching over and managing it? Do having clearer rules make leaders feel better about allowing AI to be used? For peo...