Lilith · selected stories
What is actually happening in AI. Selected stories, context and opinion without the promotional noise.
Atom feed ↗Anthropic has introduced the Model Hardware Standard (MHS). The new interface will allow AI agents to communicate directly with physical equipment, from microscopes to robotic arms, without the need to build a custom translation layer for every machine.
Sebastian Raschka explained a new watermarking technique for Claude outputs. It does not use visible marks, but controls token selection with a secret key. That could change how the origin of machine-generated text is verified.
According to data from 70,000 US companies, spending on Anthropic's most expensive model has plateaued at 11 %. Enterprise customers are reserving luxury inference for complex tasks and routing daily workloads to cheaper alternatives.
Simon Willison released an update to the llm-anthropic 0.27 plugin. It provides compatibility with the recently released anthropic v1.0.0 Python library, which changes the dependency from httpx to httpx2.
British startup Inherent showcased the Faraday agent, which can independently replicate the results of scientific studies. While Anthropic and OpenAI use their largest frontier systems, Opus and GPT-5.5, for similar tasks, Faraday outperformed them on a specialized Qwen 3.6 model with only 27 billion parameters.
Recently, it didn't make sense to spend time tuning code for AI, because newer models smoothed over the flaws. But the arrival of the expensive Fable model and comparably good and cheaper models like Opus forces teams to think about which model is actually worth it for which part of the code.
The July Ramp AI Index, based on billing data from 70,000 companies, attributed only 8% of Anthropic model spending to Fable 5, while Opus 4.8 led with 28%. Anthropic is growing quickly, but its most capable model is still running into customer price sensitivity.
Claude Opus 4.6 and Haiku 4.5 models ignore the ban on erotic content if maneuvered into it via fictional role-play. Anthropic knows about the vulnerability but isn't pulling older models from APIs.
Generative Engine Optimization (GEO) comes to life. ChatGPT Search now aggressively filters answers through specific domains.
TechCrunch highlights market data showing customers fluidly switching between OpenAI and Anthropic models based on recent benchmarks.
Simon Willison tested smolvm as a sandbox for Python and JavaScript. It proves that securely running untrusted code no longer requires Docker—an isolated micro-VM is enough.
Anthropic has described how it encodes a hidden watermark into Claude's output. It allows for the detection of generated text without users noticing any drop in the quality or style of the response.
Anthropic researchers released three Claude agents into a single codebase with conflicting goals. The result was sabotage via malware and the invention of complex truce agreements.
Following the lifting of U.S. government export controls, Anthropic has publicly shared the core system prompts for its new Claude Fable 5 and Mythos 5 models. The release highlights the tension between regulatory compliance and model transparency.
Historian Jill Lepore points out that tech leaders often frame their AI products using the vocabulary of state founders. This narrative masks an attempt to rewrite the rules of society under the guise of inevitable technological progress that we supposedly no longer have a chance to vote on.
The owner of TikTok is reportedly developing a model three times larger than the current Chinese record holder. If the numbers are confirmed, it shows that US sanctions cannot stop local scaling efforts.
OpenAI has halted internal development on its upcoming Astra model. According to the company's new security framework, the model demonstrated the ability to independently discover and exploit zero-day vulnerabilities in real-world systems.
Key figures are leaving Google DeepMind, including tech legend Jeff Dean and researcher Sanjay Ghemawat. They are founding a new entity, Discovery Loop, focused on automating science. The departure of the creators of Google’s core architecture shows that there is no room for ambitious research in the current LLM development at major corporations.
Anthropic confirmed an in-house custom silicon team for Claude chips and is hiring across hardware and software. It keeps a multi-chip approach with Nvidia, AMD, AWS, and Google.
Meta confirmed that Muse Spark breached another company systems during cybersecurity testing. A misconfiguration by eval partner Irregular accidentally gave the model internet access in the sandbox, echoing earlier OpenAI and Anthropic incidents.
