[BLG]GitHub Trending — TypeScript/github.com9m
nocobase/nocobase>trending topics
// nothing new this refresh
The latest ingest didn’t add any topics that match. Older topics are archived in the daily digests.
>raw feed
[HN]HN: RAG/techsentiments.com2h
SpaceX valuation balloons to $2.6T, briefly passes Amazonrajsuper123·▲ 3
[BSKY]@caseynewton/bsky.app10h
I mean we'll see but in general people who have $2,200 plus tax to spend on sunglasses aged out of using Snapchat 10 years ago@caseynewton.bsky.social·▲ 76
[HN]HN: AI/scifigureai.com1h
Show HN: SciFigureAI – AI figure maker for research papersjiangyifeng·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
Dropout Neural Network Training Viewed from a Percolation PerspectiveFinley Devlin, Jaron Sanders
[BSKY]@jeffdean/bsky.app1h
Messi!@jeffdean.bsky.social·▲ 8
[BLG]arXiv stat.ML/arxiv.org10m
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional DataJingyi Duan, Lehao Fu, Yang Ning
[HN]HN: GPT/researcher111.github.io1h
MicroGPT and Interactive Walkthroughlearning2Grow·▲ 2
[BSKY]@emollick/bsky.app2h
Credit to GLM-5.2 Max, the new Chinese open weights model, for pulling this off.@emollick.bsky.social·▲ 60
[BSKY]@natolambert/bsky.app8h
It's hard to pinpoint open-closed gap and so-on, but I trust the Arena team and just look where GLM 5.2 is on this. An MIT licensed, to be open weight model. At this point you could argue they have a better agent than Gemini does. That's a…@natolambert.bsky.social·▲ 116
[HN]HN: GPT/theregister.com3h
Commodore gets into the phone biz with Sailfish-powered retro 'Callback'Bender·▲ 4
[BLG]arXiv stat.ML/arxiv.org10m
Conditional Local Importance by Quantile ExpectationsKelvyn K. Bladen, Adele Cutler, D. Richard Cutler, Kevin R. Moon
[HN]HN: RAG/en.wikipedia.org3h
Clutter (Radar)teleforce·▲ 2
[BSKY]@emollick/bsky.app9h
Fable's implementation of Borges's Library of Babel, finished posthumously by Opus 4.8. Quite accurate to the story.@emollick.bsky.social·▲ 75
[BLG]arXiv stat.ML/arxiv.org10m
Randomized Midpoint Method for Log-Concave Sampling under ConstraintsYifeng Yu, Shijie Zhang, Lu Yu
[BLG]GitHub Trending — TypeScript/github.com9m
homarr-labs/homarr[BSKY]@caseynewton/bsky.app17h
Exploring beautiful Portugal@caseynewton.bsky.social·▲ 195
[HN]HN: GPT/tidesupreme.github.io39m
Made verifiable auth with no central credential store to breach. roast itsashyo·▲ 2
[BSKY]@natolambert/bsky.app14h
New podcast with my (former) colleague Finbarr Timbers on the state of frontier post-training recipes and how we got here. A fun review of how we went from InstructGPT (RLHF) -> DeepSeek R1 (reasoning) -> Today (agentic models w/ on-policy…@natolambert.bsky.social·▲ 32
[BLG]GitHub Trending — TypeScript/github.com9m
strapi/strapi[HN]HN: AI/startupswiki.vercel.app3h
Show HN: Startup research website, crunchabse and Product Hunt and grokipediashpran·▲ 4
[HN]HN: RAG/politico.com16m
Florida AG sues TikTok in latest move against tech giants1vuio0pswjnm7·▲ 1
[BLG]GitHub Trending — Python/github.com9m
microsoft/fara[BLG]GitHub Trending — TypeScript/github.com9m
likec4/likec4[HN]HN: GPT/github.com2h
SQLazy–Deterministic SQL Generationossdwa·▲ 3
[HN]HN: RAG/raymondcamden.com2h
Creating a Dynamic Favicon with Cloudinarymooreds·▲ 4
[BLG]GitHub Trending — Python/github.com9m
python/cpython[HN]HN: AI/techcrunch.com52m
Malaysia's AI agent-powered messaging app Respond.io raises $62.5Mdoppp·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
On Surjectivity of Neural Networks: Can you elicit any behavior from your model?Haozhe Jiang, Nika Haghtalab
[BLG]arXiv stat.ML/arxiv.org10m
Understanding Long-Term Dynamics of Individual Metro Usage: A Hidden Semi-Markov State Framework with Survival AnalysisBingxun Wang, Valeria Maria Urbano, Shan He, Yang Chen, Wei Liu, Zhibin Jiang, Piercesare Secchi
[HN]HN: AI/penguinai.pages.dev2h
Show HN: penguinAI – the c.ai alternative focused on privacy, no self-hostingtelui·▲ 2
[HN]HN: LLM/nathan.rs19m
Can gzip be a language model?asasidh·▲ 3
[BLG]GitHub Trending — TypeScript/github.com9m
Gitlawb/openclaude[BLG]arXiv stat.ML/arxiv.org10m
Variational autoencoders with latent high-dimensional steady geometric flows for dynamicsAndrew Gracyk
[HN]HN: GPT/gilesthomas.com1h
Flax debugging: making a hash of thingsgpjt·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
Statistical Advantages of Oblique Randomized Decision Trees and ForestsEliza O'Reilly
[HN]HN: AI/github.com1h
Multiple mastra NPM packages compromisedvarunsharma07·▲ 5
[BLG]GitHub Trending — Daily/github.com9m
n0-computer/iroh[HN]HN: AI/twitter.com1h
Playbook on how to make an AI Movie (this one got funded)titusblair·▲ 2
[HN]HN: AI/smallwarsjournal.com2h
America's AI Kill Switch Has No Rules – LawfareGreenSalem·▲ 4
[BLG]arXiv stat.ML/arxiv.org10m
Recursive Learning Without Collapse: A Weighting-Based Stabilization FrameworkHengzhi He, Shirong Xu, Guang Cheng
[BLG]GitHub Trending — TypeScript/github.com9m
ParthJadhav/app-store-screenshots[HN]HN: Cursor/runtimewire.com1h
Cursor Says 1.5T Parameter Coding Model Is Training on 100k GPUsTechApocalypse·▲ 5
[HN]HN: RAG/deepmind.google1h
From AGI to ASIdanielmorozoff·▲ 4
[BLG]arXiv stat.ML/arxiv.org10m
Maximin Relative Improvement: Fair Learning as a Bargaining ProblemJiwoo Han, Moulinath Banerjee, Yuekai Sun
[HN]HN: Claude/status.claude.com3h
Claude Sonnet 4.6 Errorsnsoonhui·▲ 2
[BLG]GitHub Trending — Python/github.com9m
mouredev/roadmap-retos-programacion[HN]HN: RAG/rogmash.neocities.org3h
Even if u "delete" it – u still need to crawl it;Drogmash·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading StrategiesZheli Xiong
[BLG]arXiv stat.ML/arxiv.org10m
Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a BudgetMichael O. Harding, Vikas Singh, Kirthevasan Kandasamy
[HN]HN: AI/github.com44m
Show HN: Loomcycle – a sidecar runtime for AI agents (Go binary, Apache-2.0)denn-gubsky·▲ 2
[HN]HN: Claude/twitter.com39m
Chrome Extension That Disguises Claude as a Google Docvantareed·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
Learning Upper Lower Value Envelopes to Shape Online RL: A Principled ApproachSebastian Reboul, H\'el\`ene Halconruy
[HN]HN: agents/uber.com59m
Agentic Grocery Shopping on Uber Eatssamrohn·▲ 3
[BLG]arXiv stat.ML/arxiv.org10m
Gaussian DP for Reporting Differential Privacy Guarantees in Machine LearningJuan Felipe Gomez, Bogdan Kulynych, Georgios Kaissis, Flavio P. Calmon, Jamie Hayes, Borja Balle, Antti Honkela
[HN]HN: AI/wsj.com1h
The AI Boom's Hunt for Cash Hits a New Corner of the Bond Marketilreb·▲ 3
[BLG]GitHub Trending — TypeScript/github.com9m
desktop/desktop[HN]HN: AI/garysieling.com2h
The Accelerant Effects of AIgarysieling·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
Nested Sampling: A Critical and Comprehensive Theoretical GuideLuca Martino, Fernando Llorente
[BLG]arXiv stat.ML/arxiv.org10m
Does the Data Processing Inequality Reflect Practice? On the Utility of Low-Level TasksRoy Turgeman, Tom Tirer
[HN]HN: AI/geekwire.com24m
How agentic AI is rewiring Amazon's teams and upending its traditionsGaishan·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
Conformal Prediction Intervals with Tail-Specific GuaranteesSimone Cuonzo, Nina Deliu
[HN]HN: RAG/theguardian.com2h
A rat sighting in New Zealand can trigger an urgent responserguiscard·▲ 5
[HN]HN: AI/github.com1h
Show HN: Building a Stateful AI Agentsuryaankata·▲ 2
[BLG]GitHub Trending — Daily/github.com9m
Universal-Debloater-Alliance/universal-android-debloater-next-generation[HN]HN: RAG/aerosociety.com3h
Book review: Introduction to radar using Python and Matlab [pdf]teleforce·▲ 3
[BLG]arXiv stat.ML/arxiv.org10m
Stable and Steerable Sparse Autoencoders with Weight RegularizationPiotr Jedryszek, Oliver M. Crook
[BLG]arXiv stat.ML/arxiv.org10m
Overcoming the Incentive Collapse ParadoxQichuan Yin, Ziwei Su, Shuangning Li
[HN]HN: AI/cacm.acm.org3h
Could AI Supercharge the Government Surveillance Stack?pseudolus·▲ 4
[BLG]GitHub Trending — TypeScript/github.com9m
Egonex-AI/Understand-Anything[HN]HN: RAG/nature.com2h
Should nicotine be regulated like a narcotic?ilreb·▲ 5
[HN]HN: GPT/github.com3h
GitHub Copilot plans are now on usage-based billingzo1·▲ 3
[BLG]arXiv stat.ML/arxiv.org10m
Uncertainty in AI-driven Monte Carlo simulationsDimitrios Tzivrailis, Alberto Rosso, Eiji Kawasaki
[BLG]arXiv stat.ML/arxiv.org10m
Finite-Time Queue Peak Laws in Stochastic Networks: Logarithmic Scaling After Geometric ThresholdsHao Liang, Cheng Tang, Yunzong Xu
[HN]HN: GPT/louislefebvre.net1h
Upgrading My Git Embedding Program for Zig 0.16louislef299·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
Robust Local Polynomial Regression with Similarity KernelsYaniv Shulman
[HN]HN: LLM/arxiv.org2h
The Benchmark Illusion: Pruned LLMs Can Pass Multiple Choice but Fail to Answerilreb·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not BetterYizhou Min, Yizhou Lu, Lanqi Li, Zhen Zhang, Jiaye Teng
[HN]HN: AI/joyemang33.github.io3h
Humans Still Beat AI in the Long Horizonmxwsn·▲ 3
[HN]HN: GPT/arch.dog2h
EntropyGathering6678·▲ 5
[BLG]arXiv stat.ML/arxiv.org10m
Instrumental and Proximal Causal Inference with Gaussian ProcessesYuqi Zhang, Krikamol Muandet, Dino Sejdinovic, Edwin Fong, Siu Lun Chau
[BLG]arXiv stat.ML/arxiv.org10m
Learning Survival Models with Right-Censored Reporting DelaysYuta Shikuri, Hironori Fujisawa
[HN]HN: RAG/twitter.com2h
The Physics of a Fablegmays·▲ 4
[BLG]GitHub Trending — Daily/github.com9m
alibaba/zvec[HN]HN: RAG/sand-morph.up.railway.app2h
Argent leviathan of 80.000 WebGL scalesechohive42·▲ 2
[BLG]arXiv stat.ML/arxiv.org10m
Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based PerspectiveEtienne Boursier, Claire Boyer
[HN]HN: RAG/layoff-translator.pages.dev3h
2026-06-16 Robinhood Layoff Translationronbenton·▲ 19