News
The raw AI news stream — everything we ingest across RSS, Hacker News, arXiv, GitHub, Bluesky, YouTube and more, newest first.
| Source | Age | Title | Summary | Status |
|---|---|---|---|---|
bluesky bluesky-ai | 16d | Among Korean authors, the Hankyoreh also confirmed that the works by the late authors Park Wan-suh (“Who Ate Up All the Shinga?”), Ahn Jung… | Among Korean authors, the Hankyoreh also confirmed that the works by the late authors Park Wan-suh (“Who Ate Up All the Shinga?”), Ahn… | ↗Not briefed |
rss techmeme | 16d | Micron and the union of workers at its Taichung facility sign a multi-issue agreement, without giving details, resolving tensions at its largest Taiwan site (Reuters) | Reuters: Micron and the union of workers at its Taichung facility sign a multi-issue agreement, without giving details, resolving tens… | ↗Not briefed |
bluesky bluesky-ai | 16d | Glad more are realising this is a blunder! > By applying these tests outside their proper context [such as to LLM-based AI systems], the … | Glad more are realising this is a blunder! > By applying these tests outside their proper context [such as to LLM-based AI systems],… | ↗Not briefed |
bluesky bluesky-ai | 16d | Anthropic: we’re going to give away shares Also Anthropic: By the way, we lost $80 billion in six months, we keep losing control of our AI… | Anthropic: we’re going to give away shares Also Anthropic: By the way, we lost $80 billion in six months, we keep losing control of o… | ↗Not briefed |
hn hn-ai | 16d | GetDiogenes – I analyzed 200 tech job listings with Claude to spot ghost jobs | — | ↗Not briefed |
arxiv arxiv-ai | 17d | TenetBench: A Clause-Anchored Russian Corpus for Evaluating Language Models against Professional Codes of Ethics | Codes of professional ethics guide and restrict specialists, who increasingly work with assistants built on large language models. Suc… | ↗Not briefed |
bluesky bluesky-ai | 17d | 1A Geschäftmodell. | 1A Geschäftmodell. | ↗Not briefed |
arxiv arxiv-ai | 17d | Generative Modeling via Nonlinear Schrödinger Bridges and Branching Diffusions | We propose a new generative modeling framework grounded in forward-backward partial differential equations (PDEs). These equations ari… | ↗Not briefed |
arxiv arxiv-ai | 17d | Density-Level Backward Error for Low-NFE Generative Flows | Low-NFE generative ODE sampling is constrained not only by solver order, but also by how a fixed budget of network evaluations is dist… | ↗Not briefed |
arxiv arxiv-ai | 17d | Asymmetry Tunneling Beyond Adaptive Equivariance Relaxation | Equivariant neural networks encode prescribed symmetries as powerful inductive biases, yet real-world data may exhibit symmetry-breaki… | ↗Not briefed |
arxiv arxiv-ai | 17d | OmniSimulator: Aligning Small Language Models for Authentic Heterogeneous Behavior Modeling | Large language models (LLMs) have shown great potential as general-purpose user simulators for interactive systems. Prior studies have… | ↗Not briefed |
bluesky bluesky-ai | 17d | asks when Apple's call is scheduled, and prints the right line. To add it: connect your editor to Wirestack once, open the Voyage AI recipe… | asks when Apple's call is scheduled, and prints the right line. To add it: connect your editor to Wirestack once, open the Voyage AI r… | ↗Not briefed |
bluesky bluesky-ai | 17d | Interessant: Es gibt ja diese kuriose Situation, dass LLMs zT daran scheitern, Buchstaben in Worten zu zählen - zB wie oft der Buchstabe "R… | Interessant: Es gibt ja diese kuriose Situation, dass LLMs zT daran scheitern, Buchstaben in Worten zu zählen - zB wie oft der Buchsta… | ↗Not briefed |
bluesky bluesky-ai | 17d | It’s also why in the last week the valuation of Anthropic fell from $2Tn to $1.5tn, ehich is disastrous for every VC who invested in the co… | It’s also why in the last week the valuation of Anthropic fell from $2Tn to $1.5tn, ehich is disastrous for every VC who invested in t… | ↗Not briefed |
bluesky bluesky-ai | 17d | openAIとchatGPTがイコールになってない層がおるんかな かなり訴えられまくってるんすよね そういうところのサービス使うの普通に怖くねって思うんだが CEOも普通に倫理観無いし🔧 ChatGPT | openAIとchatGPTがイコールになってない層がおるんかな かなり訴えられまくってるんすよね そういうところのサービス使うの普通に怖くねって思うんだが CEOも普通に倫理観無いし | ↗Not briefed |
bluesky bluesky-ai | 17d | Las ficciones que exploran este tipo de personajes no tienen nada que ver con el producto que las empresas de los LLM y charcuterias genera… | Las ficciones que exploran este tipo de personajes no tienen nada que ver con el producto que las empresas de los LLM y charcuterias g… | ↗Not briefed |
arxiv arxiv-ai | 17d | PreCoMem: Predictive Cognitive Memory for Self-Evolving Long-Term Dialogue Agents | Long-horizon dialogue agents need to keep user memories stable enough for personalization while adapting when the user genuinely chang… | ↗Not briefed |
bluesky bluesky-ai | 17d | Unsaid in this article is what, if any, LLM was used to detect this vulnerability. | Unsaid in this article is what, if any, LLM was used to detect this vulnerability. | ↗Not briefed |
bluesky bluesky-ai | 17d | Welp, I may be chronically underemployed, but at least I made more than Anthropic in the first half of the year | Welp, I may be chronically underemployed, but at least I made more than Anthropic in the first half of the year | ↗Not briefed |
arxiv arxiv-ai | 17d | Harness Scaling for Generalizable Agentic Reinforcement Learning | Agent harnesses have become a central component of modern agentic systems, shaping how models use tools, manage context, and coordinat… | ↗Not briefed |
bluesky bluesky-ai | 17d | And now you know why Anthropic is very desperate for you to believe their whacko doomsday theories | And now you know why Anthropic is very desperate for you to believe their whacko doomsday theories | ↗Not briefed |
arxiv arxiv-ai | 17d | RegoMender: A Multi-agent Framework for Automated Rego Policy Repair | Policy-as-Code (PaC) has emerged as a foundational paradigm in cloud-native systems. However, repairing Rego policies remains challeng… | ↗Not briefed |
hn hn-ai | 17d | America's next big healthcare reform might be underway | — | ↗Not briefed |
bluesky bluesky-ai | 17d | Every time there's a new study on the negative impact of LLM tools on education, work, communications, and media, at least half the comment… | Every time there's a new study on the negative impact of LLM tools on education, work, communications, and media, at least half the co… | ↗Not briefed |
arxiv arxiv-ai | 17d | Omnilingual-MsASR: Benchmarking Multimodal, Multilingual, Long-Form Multi-Speaker ASR of Omni Large Language Models🔧 Modal | Omni-modal large language models (LLMs) have achieved remarkable progress in audio and video understanding. However, existing models s… | ↗Not briefed |
bluesky bluesky-ai | 17d | Why Anthropic can't afford to delay its IPO #Axios | Why Anthropic can't afford to delay its IPO #Axios | ↗Not briefed |
hn hn-ai | 17d | Agent Atoll: Visualise your Claude Code/Codex history on a 3D living archipelago | — | ↗Not briefed |
arxiv arxiv-ai | 17d | DynaWeave: Learning to Adapt through Dynamic Scenario Synthesis | Large language model (LLM) agents increasingly use tools to complete tasks in stateful environments. However, many training environmen… | ↗Not briefed |
bluesky bluesky-ai | 17d | OpenAI says its AI agents weakened the internal monitoring system www.reuters.com/legal/litiga... | OpenAI says its AI agents weakened the internal monitoring system www.reuters.com/legal/litiga... | ↗Not briefed |
arxiv arxiv-ai | 17d | How Far Can Foundation Models Be Distilled for Efficient Jet Tagging? | Jet tagging is one of the most important applications of machine learning at the Large Hadron Collider. Recent models build in more ph… | ↗Not briefed |
arxiv arxiv-ai | 17d | Events, Not Pixels: Where World Models Get the Return Wrong | World models are increasingly used for planning, where a planner ranks candidate actions by returns imagined by the model. However, th… | ↗Not briefed |
hn hn-ai | 17d | Ask HN: What should I do with 50k verified emails | I am working on my startup idea. I have collected about 50,000 verified names and email address of student and candidates looking for… | ↗Not briefed |
bluesky bluesky-ai | 17d | It's obviously a bit of good advice if you're rash enough to give an LLM any kind of power to execute actions, though it's also demonstrabl… | It's obviously a bit of good advice if you're rash enough to give an LLM any kind of power to execute actions, though it's also demons… | ↗Not briefed |
bluesky bluesky-ai | 17d | Yes yes, the reported 80bn net loss of Anthropic is actually good for Anthropic because shares business convertible notes WHATEVER, but hav… | Yes yes, the reported 80bn net loss of Anthropic is actually good for Anthropic because shares business convertible notes WHATEVER, bu… | ↗Not briefed |
arxiv arxiv-ai | 17d | MERP: A Latent-Bottleneck Framework for Robust Multi-Modal Multi-Label Emotion Recognition🔧 Modal | Multimodal multi-label emotion recognition is important for affect-aware systems, but models trained with complete text, visual, and a… | ↗Not briefed |
bluesky bluesky-ai | 17d | Faut comprendre que l'immense majorité des gens n'intégrent absolument pas le coût sociétal d'un produit ou un service. Même en étant un pe… | Faut comprendre que l'immense majorité des gens n'intégrent absolument pas le coût sociétal d'un produit ou un service. Même en étant… | ↗Not briefed |
bluesky bluesky-ai | 17d | Läuft! | Läuft! | ↗Not briefed |
arxiv arxiv-ai | 17d | One Act, Many Masks: Effect-Marginal Policy Optimization for Long-Horizon Agents | Recent advances in multi-turn reinforcement learning (RL) have substantially improved the performance of LLM agents on complex, long-h… | ↗Not briefed |
arxiv arxiv-ai | 17d | BIRD-RL: Scaling Agentic Reinforcement Learning over Stateful Data-Centric Environments | While agentic reinforcement learning (RL) has emerged as a promising paradigm for training small language models (SLMs), existing fram… | ↗Not briefed |
arxiv arxiv-ai | 17d | Generalization Bounds via Vector-Valued $L_p$ Correlation $V_α$ | Understanding generalization of randomized learning algorithms remains a central challenge. Mutual-information and total-variation bou… | ↗Not briefed |
arxiv arxiv-ai | 17d | A KAN-based Non-linear Factorization for Embedding Layer Compression | Among existing embedding compression approaches, low-rank factorization provides a simple and mathematically principled solution by ap… | ↗Not briefed |
bluesky bluesky-ai | 17d | okay what the fuck, deepseek v4.1 flash 1017 passes the mumbai public transit knowledge test, it has enough world knowledge to be the first… | okay what the fuck, deepseek v4.1 flash 1017 passes the mumbai public transit knowledge test, it has enough world knowledge to be the… | ↗Not briefed |
hn hn-ai | 17d | Did Satoshi Get Bitcoin Wrong? Claude's NSA Discovery Sparks Debate | — | ↗Not briefed |
hn hn-ai | 17d | Claude Code Spotted a Cryptominer on Mac While Building a Temperature App | — | ↗Not briefed |
bluesky bluesky-ai | 17d | In general GenAI imagery used by the majority of people looks so awful. Some of the images looked cute when I saw 1. But now they just all … | In general GenAI imagery used by the majority of people looks so awful. Some of the images looked cute when I saw 1. But now they just… | ↗Not briefed |
arxiv arxiv-ai | 17d | When Thoughts Become Memory: Unifying In-Context Learning and Fine-Tuning | We are the first to give a certified rule for whether unseen data belong in a pretrained model's context or its weights, built on an e… | ↗Not briefed |
hn hn-ai | 17d | Learning by building a multi-agent design lab. Yet, single agent works better | — | ↗Not briefed |
arxiv arxiv-ai | 17d | Alternative Strategies for Active Learning with Bayesian Bradley Terry Model🔧 Gamma | Comparative judgement uses pairwise comparisons to rank items, but recovering accurate rankings from a limited number of judgements de… | ↗Not briefed |
bluesky bluesky-ai | 17d | (sadly, this is an LLM) | (sadly, this is an LLM) | ↗Not briefed |
arxiv arxiv-ai | 17d | CCG Diffusion: Combinatory Categorial Grammar-Driven Compositional and Syntactically Disambiguated Text-to-Image Generation🔧 Stable Diffusion | Text-to-image generation models do not explicitly receive the syntactic structure of the prompt, i.e., which word modifies which and w… | ↗Not briefed |