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 | 1mo | Or I could have just searched Google Maps the old-fashioned way and ticked a filter box for "outdoor dining" because actually modern search… | Or I could have just searched Google Maps the old-fashioned way and ticked a filter box for "outdoor dining" because actually modern s… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Si une voiture court un 100m elle ne va pas remporter le titre mondial même si elle arrive en premier. | Si une voiture court un 100m elle ne va pas remporter le titre mondial même si elle arrive en premier. | ↗Not briefed |
arxiv arxiv-ai | 1mo | MIRA: A Musical Intent Refinement Agent for Aligning Text-to-Music Generation with User Intent🔧 Suno | Text-to-music systems produce increasingly convincing audio, yet evaluation reveals little about whether the result matches user inten… | ↗Not briefed |
hn hn-ai | 1mo | New Parking Meter Deal Gives Chicago Share of Profits for First Time Since 2008 | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | For when it's removed | For when it's removed | ↗Not briefed |
hn hn-ai | 1mo | Show HN: I made a desktop pet that uses LLM for voice and Jev for poses | This desktop pet uses Gemini Live and GPT realtime for realtime conversation, and jev for model pose control. Check the github for how… | ↗Not briefed |
arxiv arxiv-ai | 1mo | The Handover Problem: Governing Autonomy Transitions in Human-AI Collaboration | Human-machine systems rarely operate at a fixed level of AI autonomy. As operators and AI systems collaborate over time, control must… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Measurement-Efficient Differentiable Quantum Architecture Search for Combinatorial Optimization | Differentiable quantum architecture search (DQAS) is a promising framework for the automated design of quantum circuits, particularly… | ↗Not briefed |
arxiv arxiv-ai | 1mo | AutoAdapt: Automatic Domain Discovery Enables Low-Cost Extensibility | Instruction-tuned models are deployed into environments where domains are heterogeneous and evolve, yet adding new domains or data typ… | ↗Not briefed |
hn hn-ai | 1mo | NullMoth Nvidia Driver with Metal for macOS 15 | — | ↗Not briefed |
hn hn-ai | 1mo | Show HN: See when TV shows are ready to binge | Made this for impatient people like me, who have trouble dealing with the torturous drip feed of one new TV series episode per week, a… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Sign up for the TrueRef newsletter to be the first to know when our collaboration with artist Loish drops! trueref.io | Sign up for the TrueRef newsletter to be the first to know when our collaboration with artist Loish drops! trueref.io | ↗Not briefed |
bluesky bluesky-ai | 1mo | Also, I am currently listening to @haileypiperfights.bsky.social's audiobook, reading @aletheakontis.com's collection and @marleyroseteter.… | Also, I am currently listening to @haileypiperfights.bsky.social's audiobook, reading @aletheakontis.com's collection and @marleyroset… | ↗Not briefed |
bluesky bluesky-ai | 1mo | And he fully didn't understand that it didn't matter whether the restaurant actually had outdoor dining or not, the fact that the Maps LLM … | And he fully didn't understand that it didn't matter whether the restaurant actually had outdoor dining or not, the fact that the Maps… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Dataset Pruning from First Principles: A Label-Free Linear Programming Approach | Dataset pruning reduces a large training set to a representative subset while preserving model performance. Existing geometry-based me… | ↗Not briefed |
bluesky bluesky-ai | 1mo | You can now train your own Decision model like Jev locally! We increased Qwen3.5 0.8B’s aggregate accuracy from 20.7% to 74.3% across 3 de… | You can now train your own Decision model like Jev locally! We increased Qwen3.5 0.8B’s aggregate accuracy from 20.7% to 74.3% across… | ↗Not briefed |
bluesky bluesky-ai | 1mo | First bump in the road trying to make a game using only #claude code. My vision differs significantly from the technical capabilities of C… | First bump in the road trying to make a game using only #claude code. My vision differs significantly from the technical capabilities… | ↗Not briefed |
arxiv arxiv-ai | 1mo | SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing | Fine-tuning-as-a-service enables users to adapt aligned large language models (LLMs) to specialized tasks, but malicious fine-tuning c… | ↗Not briefed |
bluesky bluesky-ai | 1mo | One last addendum: the entries in the matrix multiplications of Cooley-Tukey are all roots of unity (and hence magnitude 1). The magnitude… | One last addendum: the entries in the matrix multiplications of Cooley-Tukey are all roots of unity (and hence magnitude 1). The magn… | ↗Not briefed |
hn hn-ai | 1mo | Golden Gate Bridge main cables – no maintenance since 1930s [video] | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | I had an interaction with a guy on here a while ago where I was complaining that the Google Maps LLM had cited sources in support of the cl… | I had an interaction with a guy on here a while ago where I was complaining that the Google Maps LLM had cited sources in support of t… | ↗Not briefed |
hn hn-ai | 1mo | Compiling the jobs AI agents repeat: 58% fewer LLM calls | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | If an LLM can add two twelve digit numbers together then stochastic parrots can do that, because they're the same thing. Since you also hav… | If an LLM can add two twelve digit numbers together then stochastic parrots can do that, because they're the same thing. Since you als… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Claude wasn't in the contributors, but the OP's being a handwaving dick about how AI was only used for debugging in the comments so... That… | Claude wasn't in the contributors, but the OP's being a handwaving dick about how AI was only used for debugging in the comments so...… | ↗Not briefed |
hn hn-ai | 1mo | Show HN: Weft – Red squiggles for teams of coding agents | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | The duality of internet pundit | The duality of internet pundit | ↗Not briefed |
hn hn-ai | 1mo | ts-rust: An experimental Rust port of the TypeScript 7 compiler (tsc) | — | ↗Not briefed |
arxiv arxiv-ai | 1mo | Data Reuse in Non-Stationary Learning | We consider online learning in non-stationary environments, where the goal is to track an unknown parameter that switches abruptly bet… | ↗Not briefed |
bluesky bluesky-ai | 1mo | It occurred to me last night that another way to express what's wrong with OpenAI just dumping this slop on us is that it's not peer-review… | It occurred to me last night that another way to express what's wrong with OpenAI just dumping this slop on us is that it's not peer-r… | ↗Not briefed |
bluesky bluesky-ai | 1mo | maybe openai can solve my parents next | maybe openai can solve my parents next | ↗Not briefed |
bluesky bluesky-ai | 1mo | the things i keep in mind to ground me as someone who used the nascent llm tech a little and has been poking at customer service bots latel… | the things i keep in mind to ground me as someone who used the nascent llm tech a little and has been poking at customer service bots… | ↗Not briefed |
bluesky bluesky-ai | 1mo | "'Claude has never been in that specific area, has never been on that route, and has never been in the outdoors—do your own research and ga… | "'Claude has never been in that specific area, has never been on that route, and has never been in the outdoors—do your own research a… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Will “The Lean proof that OpenAI provided isn’t the same as their printed proof, so who knows if any of it is actually right” get as much p… | Will “The Lean proof that OpenAI provided isn’t the same as their printed proof, so who knows if any of it is actually right” get as m… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Trump's key billionaire money-clips that day: - Elon Musk (Tesla/SpaceX) - Mark Zuckerberg (Meta) - Jeff Bezos (Amazon) - Tim Cook (Apple) … | Trump's key billionaire money-clips that day: - Elon Musk (Tesla/SpaceX) - Mark Zuckerberg (Meta) - Jeff Bezos (Amazon) - Tim Cook (Ap… | ↗Not briefed |
hn hn-ai | 1mo | Show HN: What your Claude Code subscription would cost at API prices | — | ↗Not briefed |
arxiv arxiv-ai | 1mo | Learning to Act with Task Progress: Distilling Small Agents from Compact Teacher Supervision | Learning from large-model demonstrations offers a way to train small agents that can complete recurring tasks without calling a large… | ↗Not briefed |
bluesky bluesky-ai | 1mo | it's also nearly impossible to have an honest or accurate conversation about consumer demand for llms while usage pricing remains purposefu… | it's also nearly impossible to have an honest or accurate conversation about consumer demand for llms while usage pricing remains purp… | ↗Not briefed |
hn hn-ai | 1mo | I think I found a planet nobody knew existed. I used Claude Code to find it | — | ↗Not briefed |
arxiv arxiv-ai | 1mo | Average-Reward Reinforcement Learning for Multichain MDPs: A Hierarchical Decomposition Approach | We study learning optimal policies in average-reward multichain Markov decision processes (MDPs), where the optimal gain may depend on… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Performance at What Cost? A Sustainability-Aware Performance Index for Cell and Nucleus Instance Segmentation | Pretrained models for cell and nuclear instance segmentation differ substantially in architecture, pretraining data and objectives, pa… | ↗Not briefed |
arxiv arxiv-ai | 1mo | HAN-Mamba: Hierarchical Selective State Space Networks for Multi-Scale Financial Volatility Forecasting | Short-horizon realized volatility forecasting requires the integration of market information that evolves at incompatible temporal res… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Anthropic to American Chestnut trees for no fucking reason: | Anthropic to American Chestnut trees for no fucking reason: | ↗Not briefed |
bluesky bluesky-ai | 1mo | In a few weekends, while mostly vibe coding from my phone, I built a version of the Threads insights hub for Bluesky and Mastodon using Cod… | In a few weekends, while mostly vibe coding from my phone, I built a version of the Threads insights hub for Bluesky and Mastodon usin… | ↗Not briefed |
hn hn-ai | 1mo | Show HN: Paste-preview – see and mark up images you paste into Claude Code | — | ↗Not briefed |
arxiv arxiv-ai | 1mo | Estimating Uncoded Crash Factors with Tabular Foundation and System One Models: Kumo Tabular and Jev | Road safety programs count the coded fields of police crash records, while the officer's narrative, which often records factors the fi… | ↗Not briefed |
arxiv arxiv-ai | 1mo | LLM-Assisted Generation of Transparent, Open-Source Multiphysics Models of Electrochemical Devices | Multiphysics continuum models are powerful tools for studying electrochemical devices, enabling in silico reactor design and resolutio… | ↗Not briefed |
bluesky bluesky-ai | 1mo | millions of consumers with a better option than what existed before. and then on a marginal rate of return/profit margin basis, the consume… | millions of consumers with a better option than what existed before. and then on a marginal rate of return/profit margin basis, the co… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Nobody Truly Agrees on Sentiment: Humans, Bespoke Tools, and LLMs Struggle with Social Media Texts | Social media is a rich source of real-time public sentiment, but widely used sentiment analysis tools are often applied without unders… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Bleibt die Frage, wie unsere Arbeit in Zukunft aussehen soll. Haben wir noch Kompetenzen, die keine KI aufbringt? Und was bringen wir unser… | Bleibt die Frage, wie unsere Arbeit in Zukunft aussehen soll. Haben wir noch Kompetenzen, die keine KI aufbringt? Und was bringen wir… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Thinking in Depth: Retrospective Inference for Tabular Foundation Models | Tabular foundation models (TFMs) are pretrained across diverse tabular tasks and make predictions on a new table at inference time usi… | ↗Not briefed |