practitioners on X: 232 curated resources
practitioners on X
232 resources · page 2 of 8
Борис опять (@boris_again)
by Борис опять
Борис опять Telegram channel by Boris Tseytlin: Russian-language posts and weekly AI digests.
@BEBischof (Bryan Bischof)
X account of Bryan Bischof: posts on evaluating LLM systems in production.
Buck Shlegeris (@bshlgrs)
Redwood Research, led by Buck Shlegeris: AI safety research organisation working on AI control.
ARENA: AI Safety Education
by ARENA (Alignment Research Engineer Accelerator)
ARENA: AI safety education programme teaching technical alignment and interpretability skills.
Cameron R. Wolfe (@cwolferesearch)
Cameron R. Wolfe's Deep (Learning) Focus newsletter explaining AI research topics in depth.
Casey Newton (@CaseyNewton)
Casey Newton's Platformer: independent reporting on AI and social platforms.
Chris Olah (@ch402)
by Chris Olah
Chris Olah's blog: explanatory essays on neural networks, interpretability and visualisation.
Chris Paxton (@chris_j_paxton)
by Chris Paxton
Chris Paxton's It Can Think! newsletter on robotics and AI.
LAION
by LAION
LAION site: nonprofit co-founded by Christoph Schuhmann releasing open datasets, models and tools.
@ClementDelangue (Clément Delangue)
X account of Clément Delangue, Hugging Face CEO: posts on open-weights models and the open AI ecosystem.
Clémentine Fourrier (@clefourrier)
Hugging Face evaluation guidebook GitHub repo by Clémentine Fourrier: practical and theoretical guidance on LLM evaluation.
Concordia AI 安远AI (Brian Tse, CEO)
by Concordia AI
Concordia AI: Beijing and Singapore AI safety organisation publishing State of AI Safety in China reports.
Connor Leahy (@NPCollapse)
by Connor Leahy
The Compendium, co-authored by Connor Leahy: explanation of AI extinction risks and proposed responses.
@hillbig (Daisuke Okanohara 岡野原大輔)
X account of Daisuke Okanohara, Preferred Networks co-founder: Japanese summaries of AI papers.
IST-DASLab GitHub organization
by IST Austria Distributed Algorithms and Systems Lab
IST Austria DAS Lab GitHub organisation (Dan Alistarh): code for GPTQ, SparseGPT, Marlin and AQLM quantization.
Daniel Bourke (@mrdbourke)
Daniel Bourke's Learn PyTorch for Deep Learning: free hands-on online book and course.
Daniel Han (@danielhanchen)
by Daniel Han
Unsloth site, co-founded by Daniel Han: open-source tools for fast fine-tuning and running models locally.
Daniel Kokotajlo (@DKokotajlo)
AI 2027: scenario forecast of superhuman AI development by Daniel Kokotajlo and co-authors.
Data Hackers
by Data Hackers
Data Hackers site: a large Brazilian data science and AI community with a Slack group and podcast.
Data Science by ODS.ai
Data Science by ODS.ai: Telegram channel of the Open Data Science community, posting ML papers and news.
Data Secrets
by Data Secrets
Data Secrets Telegram channel: Russian-language digest of machine learning news.
David Bau (@davidbau)
by David Bau
National Deep Inference Fabric (NDIF), led by David Bau: NSF infrastructure and nnsight for interpretability on large models.
Dax Raad (@thdxr)
by Dax Raad
OpenCode: open-source terminal AI coding agent, from Dax Raad and team.
Daya Guo (DeepSeek)
by DeepSeek-AI
DeepSeek-R1 paper (2025), led by Daya Guo, on incentivising reasoning in LLMs with reinforcement learning.
Dean W. Ball (@deanwball)
by Dean W. Ball
Dean W. Ball's Hyperdimensional newsletter on emerging technology and AI governance.
Deep Learning Indaba 2026
Deep Learning Indaba 2026 site, the annual African machine-learning gathering held in Lagos.
Denis Sexy IT (@denissexy)
Denis Sexy IT Telegram channel by Denis Shiryaev: Russian-language personal blog on technology and AI.
Doug O'Laughlin (@fabknowledge)
by Doug O'Laughlin (Fabricated Knowledge)
Doug O'Laughlin's Fabricated Knowledge newsletter on semiconductors and AI hardware economics.
Drew Breunig (@dbreunig)
by Drew Breunig
Drew Breunig's blog on AI, data and culture, including posts on how long contexts fail.
Dwarkesh Patel (@dwarkesh_sp)
Dwarkesh Podcast: long-form interviews with AI researchers, founders and thinkers.
Dylan Patel (@dylan522p)
Dylan Patel's SemiAnalysis newsletter on semiconductors, AI infrastructure and compute economics.
Ed Zitron (@edzitron)
by Ed Zitron
Ed Zitron's Where's Your Ed At: long-form critiques of AI business models and capital spending.