Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,334 posts.
Recent announcements of NVIDIA’s new Turing GPUs, RTX technology, and Microsoft’s DirectX Ray Tracing have spurred a renewed interest in ray tracing. Using these technologies vastly simplifies the…
BASED is a linear attention architecture that decodes without a KV-cache, delivering a 24x throughput improvement over Transformers with FlashAttention-2.
I originally wrote this guide in back in December 2017 for the OpenAI Fellows program
I’m sitting on a lānai in a hotel in Waikiki beach, writing this article, and wondering if the job I am starting nine days from now will be my last.This is a...
Jun 21, 2023 | ! Homepage Slider , ! Recent Country News , Artificial Intelligence , BIG DATA , Breaking News , Compliance , Insights , Japan , Machine Learning , Regulatory , Regulatory Framework , Transparency | 0 |
So, I originally planned for this to be on my premium newsletter, but decided it was better to publish on my free one so that you could all enjoy it. If you liked it, please consider subscribing to support my work. Here’s $10 off the first year of annual.
Brainstorm on a shared whiteboard, build a spreadsheet, and share dashboards with your team, all with Claude. Available today on all paid plans.
The rise of powerful AI dialogue systems in recent months has precipitated debates about AI risks of all kinds, which hopefully will yield an acceleration of governance and regulatory frameworks.
You can now have o3 throw vastly more compute at a given problem.
OpenAI’s GPT-4 Turbo with Vision model scores worse on aider’s code editing benchmarks than all the previous GPT-4 models. In particular, it seems much more prone to “lazy coding” than the existing GPT-4 Turbo “preview” models.
Blog post of Samsja
1990: gradient descent learns subgoals. 1991: multiple time scales and levels of abstraction. 1997: world models learn predictable abstract representations...
Our brains, evolved for tribal politics and campfire stories, are ill-equipped for the moral ambiguity of a system with no soul to save or damn.
MIT researchers demonstrate probabilistic programming that does in 50 lines of code what used to take thousands.
TransCoder is the first self-supervised neural transcompiler system for migrating code between programming languages. It can translate code from Python to C++, for example, and it outperforms rule-based translation programs.
There’s a whole lot of buzz around the new Qwen2.5-Coder Series of open source (Apache 2.0 licensed) LLM releases from Alibaba’s Qwen research team. On first impression it looks like …
Search+recs+open-ended text boxes
The handbook to the LangChain library for building applications around generative AI and large language models (LLMs).
A complete walkthrough of Interfaze: what it is, who we benchmark against (Gemini-3-Flash, Claude-Sonnet-4.6, GPT-5.4-Mini, Grok-4.3, plus task specialists like Reducto, SAM 3, Scribe v2), full results across 9 benchmarks, and code examples for OCR, object detection, and web search.
I am somehow very late to learning CUDA. I didn’t even know until recently that CUDA is just C++ with a small amount of extra stuff. If I had known that there is so little friction to learnin…
Open-source AI is in jeopardy. As community interest in AI models skyrocketed over the past year, we noticed that development of new open-source foundational models came to a halt. Some even boldly announced that open-source AI is dead. Not so fast! We are excited to present you
Long before the current kerfuffle about LLMs, Generative AI Artwork, and asking your tax preparation chatbot for a cookie recipe, the concept of artificial intelligence and synthetic life was a pervasive theme in creative and engineering works. We have the ground-breaking appearance of Rossum's Universal Robots (or…
If you’ve spent any time with GPT-3 or ChatGPT, you’ve likely thought about how useful it would be if you could point them at a specific, current collection of text …
How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. Here's why self-supervised learning is one of the most promising ways to make significant progress in AI.
