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 | 1mo | Learning What to Remember: Long-horizon Counterfactual Memory Optimization | Persistent textual memory allows language models to carry information across long interactions, but learning what to remember is funda… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Rollout-Marginal Distillation for Long-Horizon Autoregressive Video Generation | Autoregressive (AR) video diffusion enables low-latency, streamable video generation, but prediction errors often accumulate over long… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Time-Anchored Diffusion Language Models: Latent-Space Caching for Fast Generation | Recent work on anchored diffusion language models improves denoising by shaping an intermediate latent space with supervised important… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Pattern Formation in Transformers | What are the inductive biases of a Transformer architecture? Existing theory on how the forward pass shapes representations either con… | ↗Not briefed |
arxiv arxiv-ai | 1mo | SYNCR: Diagnosing and Learning Cross-Video Reasoning from Simulation | Reasoning across videos requires aligning events, matching identities, comparing motion, and integrating partial observations. Evaluat… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Search Dimension in Unlabeled Projection Pursuit: A Scaling Law for Subspace Restriction | Projection pursuit searches for a direction along which the data look least Gaussian. When the observation space contains a large Gaus… | ↗Not briefed |
bluesky bluesky-ai | 1mo | I may not be the most profitable business, but at least I haven’t lost forty two billion dollars like those dork ass losers at Anthropic | I may not be the most profitable business, but at least I haven’t lost forty two billion dollars like those dork ass losers at Anthrop… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Drogendealer warnen Kunden vor ihren Drogen. Langsam wird es albern. www.spiegel.de/netzwelt/ant... | Drogendealer warnen Kunden vor ihren Drogen. Langsam wird es albern. www.spiegel.de/netzwelt/ant... | ↗Not briefed |
arxiv arxiv-ai | 1mo | RLX: A Unified Multi-Backend Tensor Compiler and Distributed Runtime in Rust | Production machine learning (ML) stacks often split graph compilation and kernel execution across different layers and languages, maki… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Overcoming Scaling Limits in On-Policy Self-Distillation for LLM Reasoning | On-policy self-distillation (OPSD) trains a student to match a privileged teacher distribution along its own sampled trajectory. Stand… | ↗Not briefed |
arxiv arxiv-ai | 1mo | The Unequal Influence of Bad Advice: Using Training Data Attribution to Modulate Emergent Misalignment | Fine-tuning large language models on narrow, misaligned tasks can undo their post-training alignment and induce novel misaligned behav… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Anthropic's numbers are as bad as my worst expectations, and it's impossible to see how it manages to make good on its spending commitments… | Anthropic's numbers are as bad as my worst expectations, and it's impossible to see how it manages to make good on its spending commit… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Anthropic's leaked IPO prospectus showed that it spent $2.75 to make a dollar in 2025, making it a worse business than OpenAI. It lost $8bn… | Anthropic's leaked IPO prospectus showed that it spent $2.75 to make a dollar in 2025, making it a worse business than OpenAI. It lost… | ↗Not briefed |
bluesky bluesky-ai | 1mo | The AI bubble bursts when the money runs out. That could be when AI startups and model labs can't raise like they used to, or AI data cente… | The AI bubble bursts when the money runs out. That could be when AI startups and model labs can't raise like they used to, or AI data… | ↗Not briefed |
bluesky bluesky-ai | 1mo | And for what? I estimate that since 2023, around $800bn in venture investments have gone to AI companies, with around $226bn going to Anthr… | And for what? I estimate that since 2023, around $800bn in venture investments have gone to AI companies, with around $226bn going to… | ↗Not briefed |
bluesky bluesky-ai | 1mo | It doesn't help that Oracle's largest SVP debt deal has now entered distressed territory — which will, no doubt, set the tone for other sim… | It doesn't help that Oracle's largest SVP debt deal has now entered distressed territory — which will, no doubt, set the tone for othe… | ↗Not briefed |
bluesky bluesky-ai | 1mo | AI companies would need $725 billion in annual revenue for them to have both 10% operating margins and hyperscalers to have a 10% ROIC. We … | AI companies would need $725 billion in annual revenue for them to have both 10% operating margins and hyperscalers to have a 10% ROIC… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Data from Goldman Sachs shows that hyperscalers aren't even breaking even on their current and future spending from 2026 and 2027, let alon… | Data from Goldman Sachs shows that hyperscalers aren't even breaking even on their current and future spending from 2026 and 2027, let… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Goldman Sachs says that hyperscalers need $308bn in annual AI revenue to break even on their 2026/2027 capex. I estimate that Oracle, Mic… | Goldman Sachs says that hyperscalers need $308bn in annual AI revenue to break even on their 2026/2027 capex. I estimate that Oracle… | ↗Not briefed |
bluesky bluesky-ai | 1mo | This customer concentration is a big problem for OpenAI and Anthropic, with the 80% of their revenues coming from 1% of customers — most of… | This customer concentration is a big problem for OpenAI and Anthropic, with the 80% of their revenues coming from 1% of customers — mo… | ↗Not briefed |
bluesky bluesky-ai | 1mo | This all comes back to a point I've been making for a while now: We've treated NVIDIA's chip sales as reflective of big AI demand, when in … | This all comes back to a point I've been making for a while now: We've treated NVIDIA's chip sales as reflective of big AI demand, whe… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Generated Query Expansion Still Helps Strong Sparse Retrieval: A Controlled Study with SPLADE-v3 | Scientific queries are often brief, while relevant papers use specialized vocabulary. Generated query expansion can bridge this mismat… | ↗Not briefed |
hn hn-ai | 1mo | Citizen Agents | — | ↗Not briefed |
arxiv arxiv-ai | 1mo | Pixels to Keys: Exploring Spatial and Motion Cues in Gameplay Inverse Dynamics | Video games offer scalable environments for studying perception and control in embodied agents.Abundant online gameplay videos could s… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Beyond Interaction Capacity: Estimator Scaling with Recursive Models for CTR Prediction | Click-Through Rate prediction, a core task in recommendation and advertising systems, relies on modeling interactions among sparse cat… | ↗Not briefed |
arxiv arxiv-ai | 1mo | You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference | Existing LLM routers choose among models using static per-model costs. We show that open-weight inference markets introduce a second,… | ↗Not briefed |
bluesky bluesky-ai | 1mo | and this is where things get interesting, because objectively, I was spending 6k per month at api rates, but anthropic was loss leading it … | and this is where things get interesting, because objectively, I was spending 6k per month at api rates, but anthropic was loss leadin… | ↗Not briefed |
hn hn-ai | 1mo | How Claude Code Works, from Tokens to Agents | — | ↗Not briefed |
hn hn-ai | 1mo | Show HN: Gatling.chat – The Turbo Messenger for LinkedIn | Everyone who does a lot of prospecting, networking and sales on Linkedin just knows how painful the native Linkedin messenger is. For… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Scaling Zero-Order Pretraining through Model Sharding | Zero-order optimization (ZO) trains without backpropagation, making it relevant to forward-only hardware and non-differentiable loss,… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Guide, Then Let Go: Gap-Adaptive Teacher Scheduling for Sparse-Reward Agentic RL | Reinforcement learning for long-horizon agents typically relies on sparse outcome-based rewards. This leads to a severe cold-start pro… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Everyone clowning on Anthropic for noting its product is 'an existential threat to humanity' in ITS OWN IPO filing. But it doesn't matter.… | Everyone clowning on Anthropic for noting its product is 'an existential threat to humanity' in ITS OWN IPO filing. But it doesn't ma… | ↗Not briefed |
rss theverge-ai | 1mo | OpenAI DevDay 2026: The biggest news and announcements🔧 Hugging Face | It’s OpenAI’s turn in the fall tech events calendar. The company is hosting its annual DevDay on September 29th in San Francisco, star… | ↗Not briefed |
arxiv arxiv-ai | 1mo | It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs | Current pre-training datasets are derived from web crawls, with all their issues, and were not designed to support mid- and post-train… | ↗Not briefed |
arxiv arxiv-ai | 1mo | ReCAP: Retrieval-Guided Capability Reuse for Multimodal Continual Instruction Tuning | Multimodal continual instruction tuning (MCIT) aims to enable multimodal large language models to acquire new capabilities from sequen… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Visual Branch is What You Need for CLIP-based Class-Incremental Learning | Class-Incremental Learning (CIL) requires models to recognize new classes over time without forgetting previously learned ones. With t… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Behavioral Capacity Certificates for Quantized Language Models | Activation and key-value cache precision change what a quantized language model computes without altering its stored weights. Direct w… | ↗Not briefed |
hn hn-ai | 1mo | EFF to SFPD: Drones Are Powerful Surveillance Tools That Require a Robust Policy | — | ↗Not briefed |
arxiv arxiv-ai | 1mo | Boids of a Feather Flock Together - Evolving Prey Behaviours Under Different Predator Attack Strategies | Flocking and schooling are thought to have evolved partly as defences against predation, but how prey should balance social and escape… | ↗Not briefed |
rss simon-willison | 1mo | OpenAI DevDay 2026 live blog | — | ↗Not briefed |
arxiv arxiv-ai | 1mo | TopoEmbedX: A General Framework for Representation Learning on Topological Domains | Topological structures such as simplicial complexes, hypergraphs, and cell complexes extend standard graph models by modeling higher-o… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Zero-shot Dependency Parsing with Unsupervised Cross-Lingual Bootstrapping | Pre-trained language models (PLMs) with encoder-based architectures have shown impressive capabilities in zero-shot cross-lingual tran… | ↗Not briefed |
arxiv arxiv-ai | 1mo | How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification | Every text classifier for an African language begins with a budgeting question: how many labelled examples are needed, and can labels… | ↗Not briefed |
bluesky bluesky-ai | 1mo | AI is burning through money, regs, energy, water - all for some foggy promise of what frankly sounds like a dystopian future. Reuters: | AI is burning through money, regs, energy, water - all for some foggy promise of what frankly sounds like a dystopian future. Reuters: | ↗Not briefed |
arxiv arxiv-ai | 1mo | Retrieval Capacity of Self-Attention Under Competition | How many tokens from its context does a language model actually use, and what determines that number? We study this question through s… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Estudio publicado en Nature analizó 1,4 millones de imágenes y vídeos (de Google, Wikipedia, IMDb, Flickr y YouTube) + 9 LLM y encontró que… | Estudio publicado en Nature analizó 1,4 millones de imágenes y vídeos (de Google, Wikipedia, IMDb, Flickr y YouTube) + 9 LLM y encontr… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design | Inverse design of physical systems (molecules, devices, microstructures) often reduces to optimizing a high-dimensional structure agai… | ↗Not briefed |
rss bing-news-ai | 1mo | Top AI executives sign commitment to ‘self-police’ after meeting at White House | President Donald Trump said Tuesday that top tech executives had signed a new commitment aimed at better “self-policing” their compani… | ↗Not briefed |
rss bing-news-ai | 1mo | Top AI executives sign commitment to ‘self-police’ after meeting at White House | President Donald Trump said Tuesday that top tech executives had signed a new commitment aimed at better “self-policing” their compani… | ↗Not briefed |
bluesky bluesky-ai | 1mo | ‘Tech giants like Amazon and Google hold huge stakes in Anthropic, which sit on their balance sheets at high valuations. If Anthropic delay… | ‘Tech giants like Amazon and Google hold huge stakes in Anthropic, which sit on their balance sheets at high valuations. If Anthropic… | ↗Not briefed |