@ofirpress
SWE-bench, ProgramBench, SWE-sweep. Postdoc @Princeton. PhD @nlpnoah @UW.
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The post pitches a “play it, rebuild it” approach and says users can train one agent or a whole team.
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A post says Carbon scored 88.2% on SEC-bench Pro and is rolling out first to cybersecurity specialists.
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One poster says every model scored 0% at launch, prompting weaker ProgramBench metrics such as “almost resolved.”
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A Skill-Inject contributor says Meta used four Tübingen benchmarks to report the model's performance in its system card.
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A user predicts a 20-year wait for AI to autonomously handle maintenance, SRE, security and PM-defined features.
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Kimi claims a 1-million-token context window for Pro and two to three times Pro's speed for Highspeed.
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A post says OpenAI and Anthropic models doubled the number of bugs found while halving costs on SWE-sweep.
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Wenhao Chai says the team built its tasks from published papers and refined them with field experts.
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The presenter says it covers benchmark results, harness design and his experiments with economic swarms.
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A post asks whether the method could identify the best coding-agent checkpoint without post-training every base model.
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A post argues that AI agents make research and testing easier, enabling more projects that eventually hit human bottlenecks.
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The benchmark’s creators say it evaluates that ability through 4D inverse graphics.
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A post describes the benchmark as focusing on visual bugs, including misrendered maps and misplaced buttons.
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A user says the model writes board-analysis code with access to 200,000 real-game board states and engine analysis.
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A researcher says an NYC workshop talk will cover when coding-agent teams outperform single agents and where collaboration helps.
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A post argues that formalizing this gap is getting harder, but remains important to making AI more useful.
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A post argues that human tasks are now too easy to use as AI benchmarks in many domains.
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The anniversary post predicts engineers will write less code, listen more to users and direct AI agents.
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A poster jokes about “it” getting as smart as a housecat while quoting an OpenAI post and tagging @ylecun.