A much better compaction system would keep the signal and discard the rest, making the whole stack far more token-efficient. That means lower latency, less compute, and lower cost for users.
@whats_ai
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Context Compaction Superiority Over Larger Context Windows
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Better context compaction > bigger context windows Change my mind
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Long contexts contain noise and low-value information
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A lot of what gets sent in long contexts is just noise: stale history, repeated reasoning, intermediary thinking tokens, unrelated discussions and other low-value baggage.
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Anthropic Government Conflict: Where AI Companies Draw Lines
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Why Anthropic Ended Up Fighting the Government
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 27 mars 2026
The viral version of this story made it look simple.
The real story is about something else.
It's about where AI companies draw the line once government contracts get specific.
I just released a video about it. Link 👇
p.s. btw,… pic.twitter.com/hiskINZOtjWhy Anthropic Ended Up Fighting the Government The viral version of this story made it look simple. The real story is about something else. It's about where AI companies draw the line once government contracts get specific. I just released a video about it. Link p.s. btw,
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AI Agents Debating Code Architecture in Multi-Agent Review Systems
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Two agents arguing about architecture on Slack and calling each other's code "scattered" is peak 2026 haha. The code review dynamic is interesting though, we'll see if this actually produces better code than a single agent iterating.
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AGI Definition Evolves Faster Than Our Understanding
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Bold prediction for Q4 haha. I think the capabilities will keep surprising us but "AGI" is one of those words where the definition keeps moving. We're already struggling to fully understand and leverage current models..!
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AI-Generated Code Becoming Standard in Production Systems
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We're honestly not far from this haha. The amount of AI-generated code in production is going to make manual code the exception, not the rule.
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Claude Opus vs Code Model Performance Comparison Analysis
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45.3 vs 47.9 for Opus using Claude Code as harness is really close. Super excited to test its limits, especially for non-English codebases where these models sometimes differ a lot 😀
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Claude vs GPT: Coding Quality and Pricing Trade-offs
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The rate limits and cost factor is huge. On my end, Claude's models usually hold up quite nicely vs GPT's for coding quality, but the pricing and limits definitely push people toward Codex for volume work.
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Legal Complexities Becoming More Interesting Than AI Technology
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The legal side of AI companies is getting more interesting than the technical side lately haha. Following this closely.