883 summarised stories about AI Assistants, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 1 month ago 34 ● 33 sources
Forrester Research and Portnox shared practical steps to regain AI agent visibility, access management, and policy enforcement. On Sept. 10, 2026, they discussed how to address shadow AI. The guidance is aimed at tightening governance around AI agents, while GPT-6 Astra is described as generating more detailed outputs, including 3D models.
MarkTechPost 1 month ago 33
Nous Research added a one-click setup flow in Hermes Desktop that reads a user’s hardware, selects a compatible open-weights model, downloads the weights, and configures the local inference runtime. The flow runs on macOS 12+ and the local setup can be accessed under Settings → Providers → Local Models. As a result, users no longer manually choose quantization, context length, or GPU offload settings before running a model locally, and the app auto-verifies a bundled llama.cpp build for their hardware.
Latent Space 1 month ago 36
Grok Bot was set up and used so the user could log into connected plugins and workflows directly in a local browser, then delegate tasks like reviewing X posts, generating daily briefings, and running a Freshdesk support bot. The Freshdesk bot checks for newly opened support tickets every fifteen minutes. The experience shifts agent configuration from code and credential setup toward managed, persistent “bot” roles and higher-level, English-driven abstraction, while reducing user control over lower-level model and context choices.
Product Hunt 1 month ago 34
Portal launched as its second release, providing a cloud computer that can be tried via a single link with no signup or install. The update is its 2nd launch. It adds an optional AI that can see the screen and run full customer conversations, and sharing works like a Google Doc.
MarkTechPost 1 month ago 41
Adaption Labs released Invent a Dataset, a feature that generates training data from a task description rather than using a seed corpus, schema, or labeling guide. It is live as of this week and generation runs on Adaption’s hosted platform using credits, with output available as JSONL, JSON, CSV, or Parquet after an async datasets.invent call. Invent a Dataset can feed the dataset ID directly into AutoScientist to co-optimize the training recipe, and Adaption claims average win rates of 64% versus 48% for its staff’s configurations.
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26 October 2026
Anthropic’s march toward an IPO turned into the defining AI thread of the day, not because the filing was just financial theatre, but because it laid bare the mechanics of how modern model companies intend to survive both scale and scrutiny. In its SEC S-1 for a Nasdaq debut under ticker ANT, Anthropic reported $16.3 billion in first-half revenue and an $80.7 billion net loss for the six months through June 2026, alongside a compute plan that’s hard to ignore: $542 billion to $567 billion on future infrastructure, with “Anthropic Direct” data centers aimed at reducing dependence on major clouds. The strategy is tightly coupled to product, too—Claude isn’t just a chatbot, it’s being pushed deeper into enterprises via first-party apps. More than half of the company’s $100,000-per-year customers use both the Claude platform and a first-party app, and Claude Code’s top 5% of enterprise users spend about 20× more than the average.
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