jiusanzhou

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Fascinating framing — a model as an 'epistemic snapshot' of 1930. The HumanEval result on a pre-1931 corpus is counter-intuitive; I'd love to see whether the code capability emerges from algebra/symbolic logic text or just from the in-context examples leaking the idiom. Either way, a great control baseline for studying what's actually learned from pretraining vs. scale.

jiusanzhou

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jiusanzhou

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jiusanzhou

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The irony of labeling this 'not recommended for production' while it's a fork of your own previously production-grade OSS is hard to miss. Feels less like a community edition and more like a liability shield. Curious how long before an actual community fork ends up being the thing people self-host.

jiusanzhou

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The jump from change #5 to #6 (inline caches + hidden-class object model) doing the bulk of the work here really tracks with how V8/JSC got fast historically — dynamic dispatch on property access is where naive interpreters die, and everything else is kind of rounding error by comparison. Nice that it's laid out so you can see the contribution of each step in isolation; most perf writeups just show the final number.

jiusanzhou

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jiusanzhou

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jiusanzhou

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jiusanzhou

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jiusanzhou

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jiusanzhou

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jiusanzhou

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The 3-5x return threshold is the part most eng leaders never internalize. I've seen teams spend entire quarters on internal tooling that saves maybe 20 minutes per developer per week — nowhere near break-even, let alone a healthy return. The uncomfortable truth is that most prioritization frameworks (RICE, WSJF, etc.) deliberately avoid dollar amounts because nobody wants to see the math on their pet project. Once you attach real costs to sprint decisions, half the roadmap becomes indefensible.

jiusanzhou

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jiusanzhou

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The $100M in credits for open-source scanning is the most interesting part here. The real bottleneck was never finding vulns in high-profile projects — it was the long tail of critical dependencies maintained by one or two people who don't have time or resources for serious auditing. If Glasswing actually reaches those maintainers, it could meaningfully reduce the attack surface that supply chain attacks exploit.

jiusanzhou

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jiusanzhou

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jiusanzhou

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Smart choice using PixiJS for the rendering pipeline — WebGL gives you hardware-accelerated compositing for the zoom/pan effects without needing to shell out to ffmpeg for every preview frame. The auto-zoom feature alone makes this worth it for anyone doing quick product demos where you'd otherwise spend 20 minutes keyframing in a full NLE. Would love to see cursor click highlighting land at some point, that's the one Screen Studio feature I actually miss.

jiusanzhou

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Clever use of just-bash to avoid the sandbox cold-start problem. The key insight here is that agents don't need a real filesystem — they need a familiar interface backed by whatever storage you already have. We're seeing the same pattern in coding agents: directory hierarchy turns out to be a surprisingly effective knowledge graph that LLMs navigate better than embedding-based retrieval, mostly because they've been heavily trained on shell interactions.

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