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 |
|---|---|---|---|---|
arxiv arxiv-ai | 29d | The Singularity Has a Distribution: Exact Timing Laws and Detection Limits for a Stochastic Intelligence Explosion🔧 Gamma | Automating AI research creates a positive feedback loop between software capability and research effort. We study a stochastic realisa… | ↗Not briefed |
bluesky bluesky-ai | 29d | Keep an eye on your internet-connected ovens and lawnmowers. "Anthropic has warned that rogue “AI worms” will soon be able to hijack smart… | Keep an eye on your internet-connected ovens and lawnmowers. "Anthropic has warned that rogue “AI worms” will soon be able to hijack… | ↗Not briefed |
arxiv arxiv-ai | 29d | Copying Is Not Grounding: Training Faithful Long-Form RAG with Authored-Sentence Credit | In search engines and assistants, long-form RAG answers can mislead readers with claims their sources do not support. Faithfulness rew… | ↗Not briefed |
bluesky bluesky-ai | 29d | They link to the "game" in the article (which disgustingly is embedded in Claude still) and it is barely a game. It's an image with multipl… | They link to the "game" in the article (which disgustingly is embedded in Claude still) and it is barely a game. It's an image with mu… | ↗Not briefed |
hn hn-ai | 29d | Linux Kernel Developers Plan to Remove "Assisted-By" Tag Requirement for AI/LLM | — | ↗Not briefed |
arxiv arxiv-ai | 29d | Estimating Surprisal from the Speech Signal | Although language is predominantly spoken, empirical tests of surprisal theory rely almost entirely on written text. In practice, surp… | ↗Not briefed |
hn hn-ai | 29d | How to engineer an AI harness for game development | — | ↗Not briefed |
arxiv arxiv-ai | 29d | STAMP as a topology-aware molecular language for fragment-level learning and editing | Molecular fragments provide chemically meaningful units, but existing molecular languages rarely make their locations and connections… | ↗Not briefed |
hn hn-ai | 29d | Ask HN: What tools do you use to create 3D print models using AI | Hey HN! I have been dabbling into some hobby projects that require designing custom 3D printed models. I have been relying on AI model… | ↗Not briefed |
hn hn-ai | 29d | Show HN: See which apps rank for any keyword on the App Store and Google Play | — | ↗Not briefed |
bluesky bluesky-ai | 29d | A voice #model from NVIDIA that can speak and listen at the same time #OpenSource MIT lic #LLM github.com/NVIDIA/perso... | A voice #model from NVIDIA that can speak and listen at the same time #OpenSource MIT lic #LLM github.com/NVIDIA/perso... | ↗Not briefed |
hn hn-ai | 29d | Show HN: Prokop – Claude Code and Codex in one workspace, with shared memory | — | ↗Not briefed |
arxiv arxiv-ai | 29d | How Well Do LLMs Perform in Peer Review? Evidence from Finance and Accounting🔧 GPT-5 | Referees increasingly use large language models (LLMs), while finance and accounting journals disagree about whether to allow it. We a… | ↗Not briefed |
arxiv arxiv-ai | 29d | Convergence-Rate-Guided Algorithm Design of Expected Improvement for Continuous Simulation Optimization | Expected improvement (EI) based on stochastic kriging (SK) surrogate is widely used in continuous simulation optimization, but unknown… | ↗Not briefed |
hn hn-ai | 29d | Show HN: Open-source Chatbase alternative with voice | — | ↗Not briefed |
hn hn-ai | 29d | Show HN: Give Pi background updates while it keeps coding | — | ↗Not briefed |
arxiv arxiv-ai | 29d | FedGraph: Defending Federated Large Language Model Fine-Tuning Against Backdoor Attacks via Graph-Based Aggregation | Federated fine-tuning of large language models (LLMs) allows multiple clients to collaboratively adapt models without sharing raw data… | ↗Not briefed |
bluesky bluesky-ai | 29d | 10/ Now add AI. USC researchers tested networks of language-model agents in a simulation. The agents coordinated messaging, amplified each … | 10/ Now add AI. USC researchers tested networks of language-model agents in a simulation. The agents coordinated messaging, amplified… | ↗Not briefed |
bluesky bluesky-ai | 29d | What I want to know isn’t “could this happen?” (I’m sure it can) but who designed the proof if concept. Because I know they didn’t just le… | What I want to know isn’t “could this happen?” (I’m sure it can) but who designed the proof if concept. Because I know they didn’t ju… | ↗Not briefed |
arxiv arxiv-ai | 29d | Reliable Memory from Unstable Growth: Curating Self-Written Agent Playbooks with Randomized Experiments | Persistent textual memory lets language-model agents reuse lessons from past tasks to improve on future multi-step tasks without retra… | ↗Not briefed |
bluesky bluesky-ai | 29d | Microsoft unveils Decision-1 AI Microsoft released Decision-1, an AI model for routing and classification tasks, providing predefined prob… | Microsoft unveils Decision-1 AI Microsoft released Decision-1, an AI model for routing and classification tasks, providing predefined… | ↗Not briefed |
bluesky bluesky-ai | 29d | A worthwhile (and unnerving) reminder from Anthropic that we should be paying attention to AI ability thresholds, not just steady climbs I… | A worthwhile (and unnerving) reminder from Anthropic that we should be paying attention to AI ability thresholds, not just steady clim… | ↗Not briefed |
bluesky bluesky-ai | 29d | please don't do this unless you're an LLM: this is best practice | please don't do this unless you're an LLM: this is best practice | ↗Not briefed |
hn hn-ai | 29d | AI Swarm Portal Guard – Local secret and shell-abuse check for VS Code | — | ↗Not briefed |
hn hn-ai | 29d | Show HN: Homie – a chat-voice personality layer for coding agents | — | ↗Not briefed |
arxiv arxiv-ai | 29d | Receiver Decides Agent-to-Agent Negotiations | When one language-model agent asks another for money, which of the two decides how much changes hands? We ran a round-robin tournament… | ↗Not briefed |
hn hn-ai | 29d | A Modern Hobby OS Written in Rust | — | ↗Not briefed |
arxiv arxiv-ai | 29d | Agaram 2.5B: The First Tamil-First Language Model Trained from Scratch with Tool Calling. A Playbook for Under-Represented Languages | We trained Agaram 2.5B, a 2.5-billion-parameter Tamil-English language model, from scratch on about 50 billion tokens (58% Tamil, the… | ↗Not briefed |
rss bing-news-ai | 29d | VisionWave Advances Stratum AI, an Agentic AI Architecture for Autonomous Mission Intelligence and Orchestration | Developing Intelligence Layer Is Designed to Coordinate Autonomous Systems, AI Agents, Sensor Fusion and Mission Workflows Across Air… | ↗Not briefed |
rss bing-news-ai | 29d | VisionWave Advances Stratum AI, an Agentic AI Architecture for Autonomous Mission Intelligence and Orchestration | Developing Intelligence Layer Is Designed to Coordinate Autonomous Systems, AI Agents, Sensor Fusion and Mission Workflows Across Air… | ↗Not briefed |
rss bing-news-ai | 29d | Intel vs. Marvell Technology: What Revenue Trends Tell Investors About These Artificial Intelligence Companies | Intel's revenue jumped 18% in its latest quarter while Marvell posted eight straight quarters of growth — but the gap between them tel… | ↗Not briefed |
rss bing-news-ai | 29d | Intel vs. Marvell Technology: What Revenue Trends Tell Investors About These Artificial Intelligence Companies | Intel's revenue jumped 18% in its latest quarter while Marvell posted eight straight quarters of growth — but the gap between them tel… | ↗Not briefed |
rss bing-news-ai | 29d | Intel vs. Marvell Technology: What Revenue Trends Tell Investors About These Artificial Intelligence Companies | Intel's revenue jumped 18% in its latest quarter while Marvell posted eight straight quarters of growth — but the gap between them tel… | ↗Not briefed |
rss bing-news-ai | 29d | Intel vs. Marvell Technology: What Revenue Trends Tell Investors About These Artificial Intelligence Companies | Intel's revenue jumped 18% in its latest quarter while Marvell posted eight straight quarters of growth — but the gap between them tel… | ↗Not briefed |
rss bing-news-ai | 29d | Intel vs. Marvell Technology: What Revenue Trends Tell Investors About These Artificial Intelligence Companies | Intel's revenue jumped 18% in its latest quarter while Marvell posted eight straight quarters of growth — but the gap between them tel… | ↗Not briefed |
rss bing-news-ai | 29d | Intel vs. Marvell Technology: What Revenue Trends Tell Investors About These Artificial Intelligence Companies | Intel's revenue jumped 18% in its latest quarter while Marvell posted eight straight quarters of growth — but the gap between them tel… | ↗Not briefed |
rss techcrunch-ai | 29d | TechCrunch Disrupt 2026: Day 1 | TechCrunch Disrupt 2026 officially kicks off today. See what's in store for Day 1 (Oct. 13) at San Francisco's Moscone West. Don't mis… | ↗Not briefed |
rss bing-news-ai | 29d | Intel vs. Marvell Technology: What Revenue Trends Tell Investors About These Artificial Intelligence Companies | Intel's revenue jumped 18% in its latest quarter while Marvell posted eight straight quarters of growth — but the gap between them tel… | ↗Not briefed |
rss bing-news-ai | 29d | Intel vs. Marvell Technology: What Revenue Trends Tell Investors About These Artificial Intelligence Companies | Intel's revenue jumped 18% in its latest quarter while Marvell posted eight straight quarters of growth — but the gap between them tel… | ↗Not briefed |
bluesky bluesky-ai | 29d | Meta is betting the house on AI — CFO warns the stakes are 'really bad' if it flops | Meta is betting the house on AI — CFO warns the stakes are 'really bad' if it flops | ↗Not briefed |
arxiv arxiv-ai | 29d | Resource-Efficient 3D Shape and Orientation Estimation of Road Users using Roadside RGB Camera and 3D Radar | End-to-end deep learning pipelines for camera-radar 3D object detection are well established in driver assistance systems and autonomo… | ↗Not briefed |
bluesky bluesky-ai | 29d | I looked forward to this cleanup! Nikloai Chukhin (eccc.weizmann.ac.il/report/2026/...) significantly cleans and extends the OpenAI 2^(ω(sq… | I looked forward to this cleanup! Nikloai Chukhin (eccc.weizmann.ac.il/report/2026/...) significantly cleans and extends the OpenAI 2^… | ↗Not briefed |
hn hn-ai | 29d | Show HN: Rply – ntfy for talking to your agents | — | ↗Not briefed |
rss theverge-ai | 29d | DLSS 5 gets toned down for its Hogwarts Legacy debut next month | When Nvidia originally showed off DLSS 5 earlier this year, the technology immediately got branded as gen AI for video games. To gamer… | ↗Not briefed |
arxiv arxiv-ai | 29d | Do Factuality Methods Make LLMs More Factual? Reproducibility and Fair Comparison | Large Language Models (LLMs) are aligned to human preferences, after pre-training and supervised fine-tuning steps. However, standard… | ↗Not briefed |
arxiv arxiv-ai | 29d | Revisiting the Estimation of Unigram Surprisal in Computational Psycholinguistics | Contextual and unigram surprisal are standard predictors of reading time in computational psycholinguistics. While contextual surprisa… | ↗Not briefed |
hn hn-ai | 29d | Show HN: GPT-Load – A self-hosted AI gateway with reversible redaction | — | ↗Not briefed |
bluesky bluesky-ai | 29d | Not my favorite news of the week, but probably good & important news overall…(I just cannot imagine that this won’t be used against future … | Not my favorite news of the week, but probably good & important news overall…(I just cannot imagine that this won’t be used against fu… | ↗Not briefed |
arxiv arxiv-ai | 29d | Not All Drift Is a Mechanism: Tracing Prompt Adaptation in LLMs | Prompt-based adaptation offers several ways to specialize a frozen language model, ranging from natural-language prompt optimization t… | ↗Not briefed |
bluesky bluesky-ai | 29d | The latest model packs significantly more power, better wireless connectivity, plus built-in microphones. www.theverge.com/gadgets/1009... | The latest model packs significantly more power, better wireless connectivity, plus built-in microphones. www.theverge.com/gadgets/100… | ↗Not briefed |