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Why AGI Will Not Happen — Tim Dettmers
If you are reading this, you probably have strong opinions about AGI, superintelligence, and the future of AI. Maybe you believe we are on the cusp of a transformative breakthrough. Maybe you are skeptical. This blog post is for those who want to think more carefully about these claims and examine them from a perspective […]
Auto-grading decade-old Hacker News discussions with hindsight
A vibe coding thought exercise on what it might look like for LLMs to scour human historical data at scale and in retrospect.
After the Bubble
GitHub - tobi/qmd: mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local - tobi/qmd
GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems | Towards Data Science
Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost
Six New Tips for Better Coding With Agents
I’m hanging out in Sydney with my esteemed co-author and co-conspirator Gene Kim today; we flew in to conduct Vibe Coding workshops and…
Context Engineering in Manus
DeepSeek V3.2 Just Broke SoTA Again… But How?
Check out HubSpot's FREE AI Decoded Pocket Guide: https://clickhubspot.com/d21e13
In today's video, I'll be breaking down what made DeepSeek V3.2 such an important paper, how is DeepSeek-V3.2-Speciale so good, how DeepSeek has created this model, and explaining DeepSeek's new secret weapon: DeepSeek Sparse Attention (DSA).
My Newsletter
https://mail.bycloud.ai/
my project: find, discover & explain AI research semantically
https://findmypapers.ai/
My Patreon
https://www.patreon.com/c/bycloud
DeepSeek-V3.2
[Paper] https://arxiv.org/abs/2512.02556
[V3.2 Huggingface] https://huggingface.co/deepseek-ai/DeepSeek-V3.2
[V3.2 Speciale Huggingface] https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Speciale
DeepSeek-V3.2-exp
[Paper] https://github.com/deepseek-ai/DeepSeek-V3.2-Exp/blob/main/DeepSeek_V3_2.pdf
[Huggingface] https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Exp
DeepSeek-V3.1-Terminus
[Paper] https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus
[Huggingface] https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus
Try out my new fav place to learn how to code https://scrimba.com/?via=bycloudAI
This video is supported by the kind Patrons & YouTube Members:
🙏Spam Maj, Alex, Chris LeDoux, DX Research Group, Poof N' Inu, Deagan, Robert Zawiasa, Ryszard Warzocha, Tobe2d, Louis Muk, Akkusativ, Kevin Tai, Mark Buckler, NO U, Tony Jimenez, Ângelo Fonseca, jiye, Anushka, Asad Dhamani, Binnie Yiu, Calvin Yan, Clayton Ford, Diego Silva, Etrotta, Gonzalo Fidalgo, Handenon, Hector, Jake Disco very, Michael Brenner, Nilly K, OlegWock, Daddy Wen, Shuhong Chen, Sid_Cipher, Stefan Lorenz, Sup, tantan assawade, Thipok Tham, Thomas Di Martino, Thomas Lin, Richárd Nagyfi, Paperboy, mika, Leo, Berhane-Meskel, Kadhai Pesalam, mayssam, Bill Mangrum, nyaa, Toru Mon, Lame Plane
[Discord] https://discord.gg/NhJZGtH
[Twitter] https://twitter.com/bycloudai
[Patreon] https://www.patreon.com/bycloud
[Business Inquiries] [email protected]
[Profile & Banner Art] https://twitter.com/pygm7
[Video Editor] @Booga04
[Ko-fi] https://ko-fi.com/bycloudai
Pluralistic: The Reverse-Centaur’s Guide to Criticizing AI (05 Dec 2025) – Pluralistic: Daily links from Cory Doctorow
576 - Using LLMs at Oxide / RFD / Oxide
Building with Cursor (public) | Notion
This is a public facing version of an internal onboarding guide at Cursor provided to GTM + non engineering hires. This guide walks through getting started from scratch to a built out, deployed project.
superwhisper-prompts
superwhisper-prompts. GitHub Gist: instantly share code, notes, and snippets.
GitHub - mackid1993/superwhisper-dictation-prompts
Contribute to mackid1993/superwhisper-dictation-prompts development by creating an account on GitHub.
GitHub - verygoodplugins/superwhisper-trainer: SuperWhisper Trainer is an interactive training system that helps you create custom vocabulary and replacement rules for SuperWhisper
SuperWhisper Trainer is an interactive training system that helps you create custom vocabulary and replacement rules for SuperWhisper - verygoodplugins/superwhisper-trainer
Why speed matters
The one constant that I have observed in my professional life is that people underestimate the need to move fast. Of course, doing good work takes time. I once spent six months writing a URL parser. But the fact that it took so long is not a feature, it is not a positive, it is … Continue reading Why speed matters
WhisperClip - Free Private AI Voice-to-Text & Auto-Paste for macOS | WhisperClip
Transform your voice into text instantly with WhisperClip - completely FREE forever! Privacy-first voice-to-text software for macOS featuring 100% local AI processing. No internet required, no subscriptions, no ads, no hidden costs. Your voice data never leaves your computer. Open source and reviewable.
We Got Claude to Fine-Tune an Open Source LLM
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Evaluation Guidebook - a Hugging Face Space by OpenEvals
This application displays the evolution of benchmark scores for large language models over time. It shows the top scores achieved by models on various benchmarks and provides insights into the prog...
State of AI | OpenRouter
An empirical study analyzing over 100 trillion tokens of real-world LLM interactions across tasks, geographies, and time.
Top 5 Small AI Coding Models That You Can Run Locally - KDnuggets
This article is for vibe coders and developers seeking private, fast, and affordable AI coding solutions.
How did a 27M Model even beat ChatGPT?
Check out HubSpot's AI Decoded Guide: https://clickhubspot.com/c7a843
A tiny 27M parameter “recursive” model is suddenly rivaling frontier LLMs on the ARC AGI benchmark, challenging & revealing how iterative thought, not size, is also capable of solving hard logical tasks.
Papers
[HRM] https://arxiv.org/abs/2506.21734
[TRM] https://arxiv.org/abs/2510.04871
My Newsletter
https://mail.bycloud.ai/
my project: find, discover & explain AI research semantically
https://findmypapers.ai/
My Patreon
https://www.patreon.com/c/bycloud
Try out my new fav place to learn how to code https://scrimba.com/?via=bycloudAI
This video is supported by the kind Patrons & YouTube Members:
🙏Spam Maj, Alex, Chris LeDoux, DX Research Group, Poof N' Inu, Deagan, Robert Zawiasa, Ryszard Warzocha, Tobe2d, Louis Muk, Akkusativ, Kevin Tai, Mark Buckler, NO U, Tony Jimenez, Ângelo Fonseca, jiye, Anushka, Asad Dhamani, Binnie Yiu, Calvin Yan, Clayton Ford, Diego Silva, Etrotta, Gonzalo Fidalgo, Handenon, Hector, Jake Disco very, Michael Brenner, Nilly K, OlegWock, Daddy Wen, Shuhong Chen, Sid_Cipher, Stefan Lorenz, Sup, tantan assawade, Thipok Tham, Thomas Di Martino, Thomas Lin, Richárd Nagyfi, Paperboy, mika, Leo, Berhane-Meskel, Kadhai Pesalam, mayssam, Bill Mangrum, nyaa, Toru Mon
[Discord] https://discord.gg/NhJZGtH
[Twitter] https://twitter.com/bycloudai
[Patreon] https://www.patreon.com/bycloud
[Business Inquiries] [email protected]
[Profile & Banner Art] https://twitter.com/pygm7
[Video Editor] Abhay
[Bitcoin (BTC)] 3JFMJQVGXNA2HJE5V9qCwLiqy6wHY9Vhdx
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[Ko-fi] https://ko-fi.com/bycloudai
How I Reverse Engineered a Billion-Dollar Legal AI Tool and Found 100k+ Confidential Files
Update: This post received a large amount of attention on Hacker News — see the discussion thread.
I love AI. Why doesn't everyone?
Anti-AI sentiment might or might not be rational, but it certainly relies on a lot of bad arguments.
Writing a good CLAUDE.md
`CLAUDE.md` is a high-leverage configuration point for Claude Code. Learning how to write a good `CLAUDE.md` (or `AGENTS.md`) is a key skill for agent-enabled software engineering.
Stanford CS230 | Autumn 2025 | Lecture 7: Agents, Prompts, and RAG.
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
November 11, 2025
This lecture covers agents, prompts, and RAG.
To learn more about enrolling in this course, visit: https://online.stanford.edu/courses/cs230-deep-learning
Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/
More lectures will be published regularly.
Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department
Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department
A Remarkable Assertion from A16Z
A friend made me aware of a reading list from A16Z containg recommendations for books, weighted towards science fiction since that’s mostly what people there read.
MIT study finds AI can already replace 11.7% of U.S. workforce
Artificial intelligence can already replace 11.7% of the U.S. labor market, across finance, health care and professional services, according to MIT's study.
Positron
Positron unifies exploration and production work in one free, AI-assisted environment, empowering the full spectrum of data science in Python and R.