Frontier API access shrinking is already shaping research agendas. The labs that publish and open-weight find the bugs the closed ones can't, because no single research setup is broad enough.
@whats_ai
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Tool Integration Reduces AI Implementation Anxiety
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The fun part is when the tool call actually lands and you stop pre-flinching at every task!
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Reliable Tool Calls Matter More Than Frontier Model Reasoning
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Grouping and archiving rules barely need a frontier model, they need reliable tool calls. Codex made email fun because the tool-call loop finally works, not because the underlying reasoning jumped.
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Deep Stack Attention Hijacking: Beyond Prompt Injection Vulnerabilities
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a lot of injection research focuses on the prompt surface and misses that the vulnerability is actually in how routing attention gets hijacked deep in the stack
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AI Model Distillation: How Stronger Models Train Weaker Ones
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Everyone is accusing everyone of “stealing AI”
But almost nobody is explaining what’s actually happening. Distillation. → Query a stronger model at scale
→ Collect outputs (reasoning, code, decisions)
→ Train your own to imitate it No weights. Just behavior. This worked in -
Industrial AI Agents Deserve Greater Media Coverage
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Hoping it's recorded, industrial AI agents deserve more airtime than they get.
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Where Do We Draw The Line For Actually Agentic AI?
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Genuinely curious where you draw the line for "actually agentic" these days
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RoPE Innovation: Jianlin’s Elegant Algorithmic Advancement
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RoPE then this, Jianlin's track record for elegant ideas is something!
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Testing Novel vs Memorized Capabilities in AI Models
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Curious if they'd actually run it, would be the cleanest test of "novel" vs "memorized" so far.