AI Briefing#chain-of-thought
The latest AI and developer news about #chain-of-thought, with the original source and a short summary.
The latest AI and developer news about #chain-of-thought, with the original source and a short summary.
The reconstructed document defines Muse as a personal superintelligence with a priority hierarchy placing corrigibility above fiduciary duties to users.
Thore Graepel, a core member of the AlphaGo team, left Google DeepMind to pursue research into systems that maintain explicit, auditable epistemic states rather than relying on next-token prediction.
Fine-tuning with ~3,600 examples enables open-weight models to surpass untrained Gemini-3.1-Pro in expression recovery.
A newly published paper highlights that language-based security measures like CoT monitoring are incomplete due to information loss between LLM internal computations and language outputs, proposing isolation techniques as an alternative.
A method has been disclosed that exploits a cross-session compatibility vulnerability in LLM encrypted reasoning blocks to steal personal information and perform prompt injection attacks.
OpenAI released GPT-6 Astra, which achieved a Critical rating in cybersecurity, but potential evasion of Chain-of-Thought (CoT) monitoring was discovered.
The 'Scaffold CoT' dataset, comprising 4 million entries, has been released to improve the reasoning accuracy of small models with 5B parameters or fewer.
A study highlights the 'unfaithfulness' issue where LLM CoT reasoning does not align with the actual internal process.
Researchers successfully reconstructed encrypted reasoning traces from commercial LLM APIs to recover hidden reasoning processes.
Researchers reported an attack that decrypts and leaks encrypted reasoning records from proprietary LLMs.
A Reasoning Corpus dataset with 5 million entries designed to improve the reasoning performance of small language models (SLMs) has been released.
DeepSeek founder Liang Wenfeng revealed a roadmap toward AGI built on a vision-centric organizational culture and an open-source strategy.
Moonshot AI's Kimi K3 maximizes performance through a unique CoT approach that behaves like an agent within its thinking process.
A joint research team including Google Research revealed in a COLM 2026 paper that activating reasoning even for simple factual questions expands the boundary of LLM parametric knowledge recall.
Training a 1-trillion-parameter LLM with Zero RL led to the emergence of advanced reasoning abilities such as automatic verification, structured formatting, and self-verification.
RL-finetuned VLMs show improved visual reasoning performance, but exhibit vulnerability to textual perturbations.
The claim is that because a reasoning model's reasoning trace and final answer are generated from the same computation, the reasoning trace cannot guarantee the faithfulness of the answer.
LeCun believes world models, not LLMs, are the key to real-world intelligence.
Edit-R1 improves image editing performance with a reasoning-type reward model.
LaDiR improved LLM text reasoning using a VAE and latent diffusion.
Sonata optimizes an LLM's reasoning budget using self-consistency.
A dataset of 100,000 CoT samples for fine-tuning local reasoning models has been released.
In investment research, a chain that enforces a fixed task order works better than an LLM's default reasoning.
Netflix used LLM judges and agents to automatically evaluate synopsis quality in line with human standards.