Note on 24th September 2026
Simon Willison’s Weblog 3 weeks ago 51 ● 2 sources
A writer argues that coding agents make software engineering harder despite their ability to do impressive work.
271 summarised stories about Agentic Workflows, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 3 weeks ago 51 ● 2 sources
A writer argues that coding agents make software engineering harder despite their ability to do impressive work.
Spyglass 3 weeks ago 19 ● 26 sources
Meta tested a phone-calling feature for its Muse personal AI agent that routed some calls to human contractors.
qwenintelligence.com 3 weeks ago 11
Qwen packaged a planner, a mobile-use agent, and a creative agent into one stack for mobile-agent testing. The stack comes with public benchmarks and leaderboards. This makes it easier to run and compare mobile-agent workflows using the provided code and results pages.
TechCrunch 4 weeks ago 30 ● 33 sources
Meta unveiled its Muse Charm wearable to embody its Muse personal AI agent. Mark Zuckerberg said it will be ready to ship in time for the holidays in December. The wearable adds a keychain-sized device with a small screen and voice interaction, giving a faster way to talk to Muse without unlocking a phone or opening an app.
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OpenAI’s newest models are getting a new home in plain sight: starting soon, GPT-6 Astra will be available on Google Cloud via Alphabet’s Model Garden, alongside smaller GPT-6.1 Sol and GPT-6 Luna variants. OpenAI’s pricing is the headline economics—Astra sits at one price point, with Sol and Luna coming in at roughly 5× and 100× less per token—while the deployment options underline why this matters to enterprises. Google customers will also be able to run the models on Confidential Compute later, and route them through offerings like Antigravity and Gemini Agent, turning “access to a model” into something closer to an operations workflow.
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