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The impact of competition and DeepSeek on Nvidia
All the reasons why Nvidia will have a very hard time living up to the currently lofty expectations of the market.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 1,015 posts.
602
GPT-5: Key characteristics, pricing and system card
I’ve had preview access to the new GPT-5 model family for the past two weeks (see related video and my disclosures) and have been using GPT-5 as my daily-driver. It’s …
603
TensorKart: self-driving MarioKart with TensorFlow
Kevin Hughes' blog
604
DeepMind and Blizzard Open StarCraft II as an AI Research Environment
DeepMind's scientific mission is to push the boundaries of AI by developing systems that can learn to solve complex problems. To do this, we design agents and test their ability in a wide range of environments from the purpose-built DeepMind Lab to established games, such as Atari and Go.
605
SlopStop: Community-driven AI slop detection in Kagi Search
Your collective defense against AI-generated spam and content farms We made it our mission to prevent the web from becoming useless and a harmful space. That’s why today, Kagi Search introduces the first community-driven system to...
606
Exploiting the most prominent AI agent benchmarks
Every week, a new AI model climbs to the top of a benchmark leaderboard. Companies cite these numbers in press releases. Investors use them to justify valuations. Engineers use them to pick which model to deploy. The implicit promise is simple: a higher score means a more capable system.
607
Death by AI
One man's struggle with his mortality.
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Extracting audio from visual information
Algorithm recovers speech from the vibrations of a potato-chip bag filmed through soundproof glass.
610
Decision trees – the unreasonable power of nested decision rules
An introduction to the Decision Trees, Entropy, and Information Gain.
611
Neural scene representation and rendering
There is more than meets the eye when it comes to how we understand a visual scene: our brains draw on prior knowledge to reason and to make inferences that go far beyond the patterns of light that hit our retinas. For example, when entering a room for the first time, you instantly recognise the items it contains and…
612
Changes to GitHub Copilot individual plans
We're making these changes to ensure a reliable and predictable experience for existing customers.
613
An AI Agent Published a Hit Piece on Me – The Operator Came Forward
Context: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin…
614
Gemini with Deep Think achieves gold-medal standard at the IMO
The International Mathematical Olympiad (“IMO”) is the world’s most prestigious competition for young mathematicians, and has been held annually since 1959. Each country taking part is represented by six elite, pre-university mathematicians who compete to solve six exceptionally difficult problems in algebra…
615
Eigenvectors and eigenvalues explained visually
Eigenvalues/vectors are instrumental to understanding electrical circuits, mechanical systems, ecology and even Google's PageRank algorithm. Let's see if visualization can make these ideas more intuitive.
616
The unequal treatment of demographic groups by ChatGPT/OpenAI content moderation
Should AI systems treat different demographic groups unequally?
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Prompt injection explained, with video, slides, and a transcript
I participated in a webinar this morning about prompt injection, organized by LangChain and hosted by Harrison Chase, with Willem Pienaar, Kojin Oshiba (Robust Intelligence), and Jonathan Cohen and Christopher …
619
Human mathematicians are being outcounterexampled
It’s been an interesting few weeks for counterexamples. This post is basically my perspective of what has been going on in the world of formalization, AI tools and, in particular, counterexam…
620
From deep to long learning?
For the last two years , a line of work in our lab has been to increase sequence length. We thought longer sequences would enable a new era of machine learning foundation models: they could learn from longer contexts, multiple media sources, complex demonstrations, and more. All data ready and waiting to be learned…
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Learning Dexterity
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
623
How to Run DeepSeek R1 671B Locally on a $2000 EPYC Server
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network. As an Amazon Associate I earn from qualifying purchases. #ad #promotions
624
How I Use "AI"
I don't think that AI models (by which I mean: large language models) are over-hyped. In this post I will list 50 ways I've used them.
625
Humans who are not concentrating are not general intelligences
Recently, OpenAI came out with a new language model that automatically synthesizes text, called GPT-2. It’s disturbingly good. You can see some examples (cherry-picked, by their own admissio…
626
Ilya Sutskever: We're moving from the age of scaling to the age of research
“These models somehow just generalize dramatically worse than people. It's a very fundamental thing.”
627
Exploring 12M of the 2.3B images used to train Stable Diffusion
What images were used to train Stable Diffusion's text-to-image AI model? I worked with Simon Willison to make a data browser to explore and search a sample of 12 million images.
628
PyTorch Internals: Ezyang's Blog
This post is a long form essay version of a talk about PyTorch internals, that I gave at the PyTorch NYC meetup on May 14, 2019.
629
QwQ: Alibaba's O1-like reasoning LLM
GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Note: This is the pronunciation of QwQ: /kwju:/ , similar to the word “quill”. What does it mean to think, to question, to understand? These are the deep waters that QwQ (Qwen with Questions) wades into. Like an eternal student of wisdom, it approaches every problem - be it…
630
How Taalas “prints” LLM onto a chip?
A startup called Taalas , recently released an ASIC chip running Llama 3.1 8B (3/6 bit quant) at an inference rate of 17,000 tokens per seconds. That's like writing around 30 A4 sized pages in one second. They claim it's 10x cheaper in ownership cost than GPU based inference systems and is 10x less electricity hog…