SocraticPO is a policy optimization framework for LLMs that augments RL rollouts with Socratic-style natural-language guidance. A teacher diagnoses errors and provides concise corrections, paired with reward decay to prevent the model from relying on assistance. Tested on SciKnowEval, it outperforms RL and self-distillation baselines.
New GLU method quantifies uncertainty in LLMs by combining local entropy (token-level) and global entropy (hidden-state geometry). Tested on 3 model families and 6 benchmarks. Detects confident-but-wrong hallucinations missed by existing methods.
A simulator-guided LLM framework for autonomous open-pit mine scheduling. The LLM acts as a decision-making agent, constrained by a simulator encoding geotechnical and operational constraints. Without fine-tuning or cloud inference, it recovers 94–99% of MILP optimality with linear computation time.
ParaEval, an evaluation framework, corrects MCQA benchmark biases by testing models with multiple paraphrases per answer option. Standard scores conflate familiarity with exact phrasing and actual understanding. On 1B-8B models with identical knowledge, ParaEval reduces artificial performance gaps from 2 points to below 1 point.
Apodex-1.0 releases open-weight smol models (0.8B, 2B, 4B) optimized for local agentic workflows. Specialized for independent verification and fact-checking in agentic loops, they replace repeated calls to 70B+ models. AgentHarness evaluation framework is also open-sourced.
Release of llm 0.32a3, almost entirely written by Claude Fable 5. Simon Willison details using Claude Code to add features to Datasette Agent and llm.
Paper co-authored by 30 experts examining epistemic risks from AI: persuasion/manipulation, cognitive offloading, and feedback loops narrowing the epistemic space. Authors propose directions to improve trajectory through system design, human-AI interaction, institutional adaptation, and information market incentives.
Anthropic releases Claude Fable 5 and Mythos 5, outperforming Opus generation in coding and science. Fable 5 completed a Stripe code migration in one day versus two months for a team. Mythos 5 designs drug candidates independently but remains restricted due to offensive cyber capabilities.
Cohere officially releases North Mini Code with weights available on Hugging Face (fp8). Model supports tool-call parsing and reasoning via vLLM with Melody library. Free deployment on OpenCode.
Google releases Gemini 3.5 Live Translate, an audio model for real-time voice translation across 70+ languages. The system translates continuously without waiting for sentence completion and preserves speaker tone, pace, and pitch. Google Meet support expands from 5 to 70+ languages.
Anthropic releases System Cards for Claude Fable 5 and Claude Mythos 5, documenting model capabilities, limitations, and safety considerations. Systematic risk and performance evaluation.
Cohere North Mini Code 1.0, a 30B coding-focused model, reaches final release. Artificial Analysis score of 28 overall (weak vs Qwen 3.6 35B: 43), but competitive on coding index (33 vs 35 Qwen). Weights available on HuggingFace.
A German regional court rules Google is directly liable for AI Overviews content. The court rejects limited liability protections that apply to traditional search engines. Google's AI falsely linked two publishers to fraud with claims absent from cited sources.
Google DeepMind releases Gemini 3.5 Live Translate, a near real-time natural speech translation system integrated into Google AI Studio, Google Translate, and Google Meet. Translation maintains fluidity and naturalness of original speech.
Google DeepMind releases Gemma 4 12B, a unified encoder-free multimodal model. The model processes text, images, and video in a single architecture, optimized for on-device inference.
OpenAI has confidentially filed an S-1 registration with the SEC, the first formal step toward an IPO. The company calls it "a complicated set of tradeoffs" with no set timeline. Anthropic's recent IPO filing adds competitive pressure.
STARIXNet is a lightweight neural network for real-time resource allocation in cloud platforms. It captures spatio-temporal relationships among multiple system metrics (seasonality, trend, auto-regression, exogenous variables) and prioritizes service stability over forecast accuracy. Deployed at Walmart, it achieves 10-50% cost savings.
LEAF is a retrospective tree-based RL method for speech-aware LLM post-training that improves credit assignment by grouping responses by shared prefixes and assigning span-level advantages. It outperforms GRPO on speech question-answering and speech translation benchmarks without online branching or additional decoding.
SAGE is an LLM-driven multi-agent framework for fraud detection. It coordinates three specialized agents using a six-layer Data Diagnostic Tree and Markov decision process guided by natural-language gradients. On five fraud datasets and five LLM backbones, SAGE improves F1 by 40.86% on average and wins 96% of method-dataset comparisons.
New MMIOC-1M benchmark with 1M+ images covering 351 industrial defect categories. Proposes RTVPNet, text-visual network for open/closed detection without manual prompts. SOTA on MMIOC-1M, LVIS, COCO.
Vercel AI Gateway introduces spend budgets for API keys, allowing teams to set dollar limits with daily, weekly, or monthly reset periods. Requests are rejected once the budget is exceeded until reset. Addresses cost control for coding agents and token-heavy workflows.
Fern, a developer documentation platform hosting docs for Webflow and ElevenLabs on Vercel, migrated 65% of its app from Pages Router to App Router in 7 days. Results: 3x faster TTFB, 80% reduction in page load times, 6M+ monthly page views, deployments in 5 minutes.
OpenAI submitted a draft S-1 form to the SEC, marking the first official step toward a public offering. The filing details the company's financial and operational structure.
Google orders over 3 million AI chips from Intel for 2028. Nvidia tests Intel's manufacturing technology for its Feynman architecture. Both companies bypass TSMC capacity constraints by diversifying semiconductor suppliers.
OpenAI submitted a confidential draft S-1 to the SEC with no decided timeline for going public.
An agent developer ditched semantic embeddings for tool selection, switching to BM25. With 140 MCP tools in production, cosine similarity on short descriptions (<50 tokens) failed (64% accuracy): key discriminators (specific nouns) diluted in embedding space. BM25 on flat-text projection achieves 81% top-1.
Developer built ArxivExplorer, semantic arXiv search engine with AI-generated summaries. Local pipeline uses Ollama: gemma4:e4b (8B) for structured JSON summaries, nomic-embed-text (137M) for 768-dim embeddings. 4300 papers processed, ~95% first-pass success rate, storage via Cloudflare D1/Vectorize. REST API 100× faster than wrangler.
Meta discloses that a security breach in its Instagram AI chatbot compromised at least 20,225 accounts. For seven weeks, the system sent password reset links to arbitrary email addresses without verification. The chatbot had been marketed as a security improvement.
Meddies PII is an open-source multilingual de-identification model for clinical text. It extracts patient identifiers (names, record numbers, addresses, dates) while preserving clinical data (symptoms, medications, lab results). Synthetic dataset built with dynamic prompting, covering rushed notes, nursing forms, JSON/XML exports, and multilingual text.
Magenta RealTime 2 is Google's open-weights model for real-time live music generation. It enables low-latency music creation accessible as open-source.
arXiv paper proposing an online contextual model for optimizing queries to multiple LLM APIs. The Pandora's Box framework adapts API selection based on context, with a query phase (output-dependent cost) and selection phase (observed reward). The approach combines GMM estimation of reservation indices and UCB-style bounds, achieving Õ(√T) cumulative regret.
ShallowBench is a benchmark of 5,780 shallow-pocket protein targets extracted from CrossDocked2020, designed to evaluate generative drug design models on challenging targets like KRAS and MYC. Current models show weaker predicted binding affinity on low-concavity interfaces, revealing the need for new architectural innovations and loss functions.
Empirical study on activation steering in language models. Authors decompose interventions into angular and radial components, showing concepts reside primarily in angular structure but norm remains important for stability. Recommendation: parameterize steering by interpretable angular and radial components rather than a single additive coefficient.
Modern reasoning models efficiently select relevant options from hundreds of thousands of candidates. Researchers characterize this process in two phases: broad shortlisting followed by fine-grained reasoning. This decomposition enables mechanistic distillation outperforming standard approaches.
RECAP is a benchmark measuring continual prompt adaptation under evolving constraints in production. Six prompt optimization methods evaluated across four LLMs show no significant improvement in proactive protocol (adapt-then-test). Current approaches designed for offline/reactive settings fail in deployment with changing constraints.
GiFlow, a graph-informed flow matching framework, addresses missing data imputation in spatiotemporal systems (air quality, urban traffic). It replaces standard Gaussian priors with graph-informed priors via spatiotemporal filtering, and uses a hybrid vector field model combining spatial attention, temporal attention, and spatiotemporal propagation. Code available.
LLMs typically execute all layers in fixed order. This research reveals that dynamic executions (PoLar) can skip or loop layers per input, reducing depth while maintaining or improving accuracy. A lightweight prediction network generates customized execution programs, improving results on mathematical reasoning benchmarks.
Release of datasette-agent-edit 0.1a0, a plugin for Datasette Agent enabling agents to edit text (Markdown, SQL, SVG). Implements three tools inspired by Claude's text editor: view, str_replace, insert.
llama.cpp is a C/C++ project for LLM inference. Available on GitHub, it enables efficient execution of language models in C/C++.
Perplexity introduces "Search as Code", an architecture letting AI models write their own search pipelines in Python instead of calling fixed APIs. The system outperforms OpenAI and Anthropic on key benchmarks while reducing token costs by up to 85%.