Claude's J-space represents a unique internal workspace that allows the model to engage in silent reasoning and report on its thoughts, emerging autonomously during training rather than being explicitly programmed.
GLM 5.2 and the coming AI margin collapse
GLM 5.2 emerges as a formidable competitor to Opus and GPT, offering a potential 50% cost reduction in workflows despite its slower performance and lack of vision support.
Python 3.14 compiled to metal – no interpreter
pon is a JIT & AoT native compiler for Python 3.14, designed to eliminate the interpreter and bytecode, utilizing a single intermediate representation (IR) for both in-process execution and standalone binaries, with memory managed by a Green Tea garbage collector.
Pruning RAG context down to what the answer actually needs
Kapa.ai's innovative approach prunes 68% of irrelevant context from their retrieval-augmented generation (RAG) process while maintaining 96% recall, significantly reducing query costs by a third.
NSA and IETF: Fairness
NSA's historical influence on cryptographic standards, including the promotion of DES despite its known weaknesses, raises serious concerns about the integrity of current IETF processes, particularly regarding the push for solo ML-KEM in TLS, which could lead to significant security vulnerabilities.
MIRA: Multiplayer Interactive World Models trained on Rocket League
MIRA is a multiplayer interactive world model trained on 10k hours of synthetic Rocket League data, featuring 5B parameters and capable of running 4 players at 20 fps on a single B200.
AI Meets Cryptography 1: What AI Found in Cloudflare's Circl
AI audit of Cloudflare's CIRCL library revealed seven critical bugs, including a significant precision loss in RSA and a severe access-control breach in attribute-based encryption, all of which have been fixed upstream.
TorchJD: Training with multiple losses in PyTorch
TorchJD now supports multiple loss training methods, including scalarization and Jacobian descent, allowing for flexible model optimization with minimal code changes.
Ph.D. thesis on Differentiable Ray Tracing for Radio Propagation Modeling
The Ph.D. thesis on Differentiable Ray Tracing for Radio Propagation Modeling presents a novel approach that integrates automatic differentiation into ray tracing, enabling the computation of exact gradients in complex environments, which is pivotal for solving inverse problems in wireless communications.
Reducing Doom Loops with Final Token Preference Optimization
Antidoom employs Final Token Preference Optimization (FTPO) to significantly reduce doom loops in language models, achieving a drop in repetitive completions from 10.2% to 1.4% on challenging prompts.
Show HN: Halo – open-source, tamper-evident runtime evidence for AI agents
halo-record provides tamper-evident runtime records for AI agents, ensuring that every action taken by the agent is logged in an append-only, hash-chained format that can be independently verified without trust in the vendor.
Giving a domain a hill to climb: benchmarking as data activation
Benchmarking transforms domain data into measurable standards, enabling models to be evaluated and trained effectively, particularly in complex fields like medicine where traditional metrics are lacking.
TRACE: open-source hierarchical memory for LLM agents, 82.5% on MemoryAgentBench’s EventQA using gpt-oss-20B
TRACE introduces a hierarchical memory system that organizes conversation history into a topic tree, achieving 82.5% F1 score on the EventQA task of MemoryAgentBench, outperforming traditional flat RAG methods.
CPU TTS benchmark with UTMOS MOS scoring: Kokoro, Supertonic, Inflect-Nano, and Kyutai's new Pocket TTS
Pocket TTS's streaming LM architecture yields a consistent RTF of 0.69 to 0.76, demonstrating linear cost efficiency across varying text lengths, unlike other models that exhibit variable performance based on input size.
🤗LeRobot v0.6.0: Imagine, Evaluate, Improve
LeRobot v0.6.0 introduces enhanced capabilities for imagination, evaluation, and improvement in robotics, significantly advancing the field's potential applications.