Now, defenders are embracing the prompt injection, too
…The LLM responds by shutting down. Examples are a prompt that orders the LLM to provide steps for developing inhalable Anthrax spores, or, in the case of LLMs from Chinese developers, make…
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Tracked topic
LLMs
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
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Extensible Software in the age of LLMs
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Videos
More videosPaper page - Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoning
Papers arxiv:2606.29985 Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoning Published on Jun 29 Submitted by Lee SangMook on Jul…
Paper page - From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement learning pipelines for Large Language Model (LLM) training often rely on manually redesigned environments between stages, requiring practitioners to heuristically infer which configuration…
Uber chief warns no link yet between AI tokenmaxxing and shipping successful products — company pumps the brakes on all-out AI spending
…Duolingo management heard them and now understands that AI/LLMs don’t fit everywhere. Uber’s Macdonald nodded along and interjected that "the headline stats make your head explode" when companies discuss…
Discussions and forums
LLMs and Almost Good Code
LLMs and Almost Good Code
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LLMs and Almost Good Code
LLMs and Almost Good Code
2
LLMs won't break symmetric crypto
LLMs won't break symmetric crypto
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Using LLMs to secure source code
Using LLMs to secure source code
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Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
3
Paper page - On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
Papers arxiv:2606.00467 On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance Published on May 30 Submitted by Rafal Kocielnik on Jun 12 California institute…
Paper page - Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets
Papers arxiv:2605.28510 Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets Published on May 27 Submitted by Andrea Gurioli on May 28 Authors: , , , , Abstract A hybrid approach combining vector…
Paper page - Probing Outcome-Level Resemblance and Mechanism-Level Alignment in LLM Risk Decisions: Evidence from the St. Petersburg Game
Papers arxiv:2606.04978 Probing Outcome-Level Resemblance and Mechanism-Level Alignment in LLM Risk Decisions: Evidence from the St. Petersburg Game Published on Jun 3 Submitted by BruceLyu on Jun 4…
Towards Structural Understanding of LLM Overthinking
Towards Structural Understanding of LLM Overthinking View publication Download Abstract Models employing long chain-of-thought (CoT) reasoning have shown superior performance on complex reasoning tasks. Yet, this capability introduces a critical…
NVIDIA Blackwell Sets STAC-AI Record for LLM Inference in Finance | NVIDIA Technical Blog
Agentic AI / Generative AI NVIDIA Blackwell Sets STAC-AI Record for LLM Inference in Finance May 27, 2026 By Dan Blanaru and Martin Marciniszyn Mehringer Discuss (0) Discuss (0) L T F…
Paper page - Exploring Autonomous Agentic Data Engineering for Model Specialization
…Existing LLM-based data curation methods primarily rely on human-designed workflows, leaving it unexamined whether LLMs can autonomously execute an end-to-end data engineering pipeline for model specialization . We formalize…