Open weights matter even when they trail the frontier exactly because of this, you're buying control, not just capability. weights matter even when they trail the frontier exactly because of this, you're buying control, not just capability.
@whats_ai
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Benchmark screenshots hide alt+tab to Claude Code
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haha the benchmark screenshots never show the alt+tab to Claude Code right after.
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Claude Code leak shows AI agents stack compaction techniques
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The Claude Code leak revealed something interesting. Good AI agents are not relying on one big context trick. They stack multiple compaction techniques on top of each other. Things like:
filtering tool outputs,
trimming old context,
compressing past conversations,
removing -
How messy internet data becomes a working model
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We all know these models are trained on the internet. And the internet is full of spam, duplicates, toxic text, and personal data nobody should be memorizing. So how does any of that turn into a model that actually works? It doesn't go in raw. The data runs through a pipeline
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US government forces Anthropic to suspend its two AI models after jailbreak
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The US government just made Anthropic suspend two of its own models. Fable 5 and Mythos 5, gone for everyone, everywhere. Just three days after launch. The whole thing started over a "jailbreak." But when Anthropic looked at it, the jailbreak was basically asking the model to
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8 Steps to Deploy AI Agents by 2026
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The 8-step order I use for shipping AI agents in 2026: 1. Filter noisy tool outputs
2. Load tools only when needed
3. Clean cached history before reusing it
4. Compress long logs and terminal outputs
5. Store memory outside the context window
6. Compact manually around 40%
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Top AI Engineers Delete Noise Data More Than They Build
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The best AI engineers I know spend more time deleting than building. Not their code. The data their models see. Here’s what I mean. When an AI agent fails a task, tools often send everything back to the model:
logs, stack traces, retries, debug output. Most of it is noise. -
Loop engineering automates agent prompting loops for efficient task completion
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Loop engineering is everywhere right now.
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 11 juin 2026
Instead of you prompting the agent, checking what broke, and telling it to go again, you build a small system that runs that loop for you. It keeps the agent going until the work is actually done.
I explain it all in this video 👇 pic.twitter.com/EUuULCDoCOLoop engineering is everywhere right now. Instead of you prompting the agent, checking what broke, and telling it to go again, you build a small system that runs that loop for you. It keeps the agent going until the work is actually done. I explain it all in this video
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Stop prompting coding agents, design loops instead – loop engineering
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Stop prompting your coding agents.
The people building Claude Code and Codex don't prompt anymore — they design loops. New video: what loop engineering actually is, the 5 building blocks, and the 2 traps that burn your token budget. https://
youtu.be/NjXIIH9vcv0