Vol. I · No. 67THU, JUN 25, 2026
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What Claude says vs What Claude thinks

Anthropic research: [https://www.anthropic.com/research/natural-language-autoencoders](https://www.anthropic.com/research/natural-language-autoencoders)

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How I made my Claude setup more consistent

I’ve been trying different Claude setups for a while, and honestly, most of them don’t hold up once you start using them in real work. At first, everything looks fine. Then you realize you’re repeating the same context every time, and that “perfect prompt” you wrote works once… then falls apart. This is the first setup that’s been consistently usable for me. The main shift was simple: I stopped treating Claude like a chat. I started using projects and keeping context in separate files: * [about-me.md](http://about-me.md/) (what I actually do) * [my-voice.md](http://my-voice.md/) (how I w...

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Unhinged cowork use cases

Reddit discussion on practical use cases for Anthropic's Cowork feature; user seeks complex automation ideas beyond basic file/email organization.

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Quoting Luke Curley

WebRTC's latency optimization for audio drops packets; Luke Curley argues LLM inference should prioritize accuracy over speed.

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MTP is all about acceptance rate

MTP speculative decoding shows task-dependent gains: 1.53× speedup on code, 0.5× slowdown on JSON; effectiveness tied to draft acceptance rate.

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I built a Pokémon-styled multi-agent dashboard to manage all Claude Code sessions

Like many others here, I got frustrated with managing all my different claude/codex sessions, so i built Pokegents, which is an open source multi-agent workspace for coding agents. It has a Pokemon-themed dashboard/chat interface plus a local orchestration server for managing agent sessions (currently supports Claude Code in iTerm2, plus Claude and Codex through ACP-based chat runtimes), persistent agent identities, mcp messaging between agents, notifications, session cloning, and more. This was mostly a vibe-coded side project, but I've been using it constantly in my day-to-day workflow as ...

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Interactive KL Divergence Visualisation [P]

I built a small interactive explorer for building intuition about KL divergence: https://robotchinwag.com/posts/kl-divergence-visualisation/ You control two skew-normal distributions and can see the KL integrand and the KL metric. It’s good for exploring how it changes with a mean offset, skew, truncation and discretisation. It run entirely close side. Feedback is welcome.

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new MoE from ai2, EMO

AI2 releases EMO, a 14B-parameter MoE model with 1B active parameters trained on 1T tokens, featuring document-level routing that clusters experts by semantic domain rather than surface patterns.

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Claude:

Anthropic releases Claude integration for Microsoft Office (Excel, PowerPoint, Word GA; Outlook beta) with cross-app context persistence.

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30 stories