hey @grok can you define overfitting to hindsight bias
MACHINE LEARNING
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Building Visualizers: An Untapped Way to Learn Codebases
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Untapped Way to Learn a Codebase: Build a Visualizer https://
bit.ly/4bbhd39
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
On-Policy Self-Distillation Improves Reasoning LLM Efficiency
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“On-Policy Self-Distillation for Reasoning Compression” This paper shows that the new bottleneck for reasoning LLMs isn’t “too little reasoning”, it’s that more reasoning tokens often increase mistakes. So they fixed it without RL length penalties or external verifiers, but all
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Classical hyperparameter tuning outperforms AI coding agent
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I wrote something about the recent hype about automatic AI research. tdlr: at least this time, a classical hyperparameter tuning beat the fancy AI coding agent Ravid Shwartz Ziv (@ziv_ravid) x.com/i/article/203175290702… — https://nitter.net/ziv_ravid/status/2031790304123326532#m
→ View original post on X — @hugo_larochelle, 2026-03-11 21:57 UTC
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Harvey AI Launches BLB Research Benchmark for Legal AI
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We partnered with @Harvey_AI on BLB: Research — a benchmark of hard, agentic US case law research problems. We identified a series of US case law research problems that leading models are currently unable to solve — even when provided with search tools like web search. The
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Research Analysis: Massive Activations and Attention Sinks in Transformers
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Another by Yann LeCun! “The Spike, the Sparse and the Sink” This paper shows that massive activations and attention sinks come from the same pre-norm Transformer pipeline rather than being separate anomalies. Early SwiGLU blocks act like directional quadratic amplifiers,
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The Silent Trap in RAG Pipelines: Embedding Model Costs
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Most RAG pipelines have a silent trap nobody warns you about. Imagine you built a RAG pipeline with a large embedding model for high retrieval quality, and it ships to production. Six months later, your application traffic and your embedding model costs are soaring while your
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CEO Speaking on Autonomous Cybersecurity at RSAC2026 Startup Expo
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Are you attending #RSAC2026? Our CEO Eno Thereska is be speaking on a panel: "Going Autonomous in a Machine-speed Cyber Battle” Monday March 23 @ 3:00 pm at the Cyber Startup Expo 👉 Request to attend. go.trent.ai/cyber-startup-ex… As the cyber cat-and-mouse game accelerates to machine speed, defenders can no longer rely on human-only response or static defenses. This panel explores how security teams are going autonomous, combining AI-driven defense with continuous, autonomous red teaming to find and fix weaknesses before attackers do. 👏 A big thank you to the incredible hosts, including Carnegie Mellon University @CyLab, @DataTribe, @dreamit, and Blu Ventures, for bringing together the cybersecurity startup ecosystem.
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Replit Agent 4 Updates Announced
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Replit Agent 4 – What's new https://
x.com/i/broadcasts/1
RJZzjWzZEvJB
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