Not everything needs an LLM (6 minute read)
PostHog uses decision models to answer narrow questions with typed outputs and probability scores before calling larger models. Its personal-data filter skips 98.7% of LLM calls, while thresholds are chosen according to the cost of false positives and false negatives.
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Safely scaling multi-agent teams with Claude Fable 5.2 (12 minute read)
A team of 1,000 agents reproduced a formal proof of Fermat's Last Theorem in 28.7 hours using separate sandboxes, shared Git, and a SQL database for coordination. The experiment combined command screening and offline monitoring with restricted network access, and used one-third the output tokens of the earlier formalization.
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The new bottleneck is intent (5 minute read)
As AI makes finding and fixing bugs cheaper, deciding what software should do becomes the bottleneck. Real user feedback, simulated users, and deterministic testing each leave gaps in defining expected behavior. This article recommends smoke tests and realistic user journeys, established conventions for minor decisions, and human ownership of product choices.
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The great software IP writedown (7 minute read)
AI agents are eroding the scarcity of engineering talent that supported software's high margins, while making products easier to copy and customers easier to migrate. Cheaper development could favor smaller, specialized products and shift acquisition value toward customers and distribution, as sales remain a bottleneck and code becomes less durable as an asset.
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Claude Fable 5.2 and Mythos 5.2 (Website)
Claude Fable 5.2 and Mythos 5.2 share an underlying model with improvements in coding, reasoning, and vision, with output generation up to 30% faster than their predecessors. Standard pricing is $8 per million input tokens and $40 per million output tokens. Mythos access requires verification for cybersecurity or biomedical research.
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Exact (GitHub Repo)
Exact is an experimental cross-platform runtime that compiles interfaces written in Contract for the web and native hosts, with application logic in TypeScript or Rust. A common set of agent operations supports inspection and testing across platforms, but the project is pre-1.0 and offers no API stability or backward compatibility.
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Why is AI Slop so Frustrating to Read? (6 minute read)
AI writing burdens readers when it hides who is acting, uses vague wording, or buries the point in empty statements and misplaced emphasis. This post compares articles and coding discussions using a clarity taxonomy, arguing that these faults matter more than familiar AI signatures such as stock phrases or punctuation.
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The Race to Build a “Find My” for AI Chips (4 minute read)
Location verification could help detect advanced AI chips diverted to restricted destinations despite export controls. This article examines efforts to establish where chips are operating as US legislators push for verification requirements.
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Testing Claude on real-world electronics design (6 minute read)
Claude Fable 5.2 designed a speakerphone, a voice-assistant hub, and a virtual pet, covering circuit boards, enclosures, firmware, and assembly instructions. Human engineers built working prototypes without circuit fixes, but the devices have not undergone electrical validation, antenna tuning, thermal testing, or certification.
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Skullet (GitHub Repo)
Skullet generates loading skeletons from real components rendered with sample data, so placeholders match the space the content will occupy.
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Reticle (GitHub Repo)
Reticle gives coding agents runtime visibility into an app through a development SDK and MCP tools for interactions, network traffic, state, and console activity.
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