2071
GPT-2: Too Dangerous To Release (2019)
GPT-2 is a direct scale-up of GPT-1 , with more parameters and trained on more data. However, it was deemed too dangerous to release by OpenAI:
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,328 posts.
2072
Anthropic expands partnership with Google and Broadcom for next-gen compute
Anthropic secures multiple gigawatts of next-generation TPU capacity starting in 2027, its largest compute commitment to date.
2073
SoundStream: An End-to-End Neural Audio Codec
Posted by Neil Zeghidour, Research Scientist and Marco Tagliasacchi, Staff Research Scientist, Google Research Audio codecs are used to efficiently...
2074
Deep Neural Nets: 33 years ago and 33 years from now (2022)
Musings of a Computer Scientist.
2075
A practical guide to AI image generation, from diffusion to agents
Welcome to the digital home of Daniel Ball. Explore my portfolio to see the projects I’ve worked on and learn more about my professional journey.
2076
Is my cat Turing-complete?
This article is an adaptation of a Lightning Talk I gave at CppCon2021. Link here : https://www.youtube.com/watch?v=RtqTGSOdmBo
2077
Strands Decider 2B: a small, open-source, decision model
Strands Decider 2B is a small, open source, decision model optimized for fast experimentation, local development, and innovation.
2078
Prodigy: A new tool for radically efficient machine teaching
Machine learning systems are built from both code and data. It's easy to reuse the code but hard to reuse the data, so building AI mostly means doing annotation. This is good, because the examples are how you program the behaviour – the learner itself is really just a compiler. What's not good is the current…
2079
PhotoScan: Taking Glare-Free Pictures of Pictures
Posted by Ce Liu, Michael Rubinstein, Mike Krainin and Bill Freeman, Research ScientistsYesterday, we released an update to PhotoScan, an app for i...
2080
Moondream 3 Preview: Frontier-level reasoning at a blazing speed
Think deeper, detect smarter, run just as fast.
2081
How Anthropic teams use Claude Code
Teams across Anthropic use Claude Code for everything from debugging production issues and navigating unfamiliar codebases to building custom automation tools. Here's how.
2082
2083
Thoughts on a month with Devin
Our impressions of Devin after giving it 20+ tasks.
2084
LLM Powered Autonomous Agents
Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a…
2085
AlphaGo's next move
With just three stones on the board, it was clear that this was going to be no ordinary game of Go.
2086
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2088
Deploying DeepSeek on 96 H100 GPUs
DeepSeek is a popular open-source large language model (LLM) praised for its strong performance. However, its large size and unique architecture, which uses Multi-head Latent Attention (MLA) and Mixture of Experts (MoE), require an advanced system for efficient serving at scale.
2089
Parsing English with 500 lines of Python (2013)
A syntactic parser describes a sentence’s grammatical structure, to help another application reason about it. Natural languages introduce many unexpected ambiguities, which our world-knowledg…
2090
Dopamine and Temporal Difference Learning
Learning and motivation are driven by internal and external rewards. Many of our day-to-day behaviours are guided by predicting, or anticipating, whether a given action will result in a positive (that is, rewarding) outcome. The study of how organisms learn from experience to correctly anticipate rewards has been a…
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2092
Nvidia announces Jetson Nano 2GB, a single board computer
Using Python 3.6, OpenCV, Dlib and the face_recognition module
2093
Things Not Strings -- Google Launches Knowledge Graph
We hope this will give you a more complete picture of your interest, provide smarter search results, and pique your curiosity.
2094
How I keep up with AI progress
Last Updated: 30th June 2025
2095
Designing agentic loops
Coding agents like Anthropic’s Claude Code and OpenAI’s Codex CLI represent a genuine step change in how useful LLMs can be for producing working code. These agents can now directly …
2096
Amazon Lex – Build Conversational Voice and Text Interfaces
While computers that talk are great, computers that listen and respond are even better! If you have used an Amazon Echo, you know how simple, useful, and powerful the Alexa-powered interaction model can be. Today we are making the same deep learning technologies (ASR – Automatic Speech Recognition NLU – Natural…
2097
I'm scared about biological computing
I’ve been in the AI space since ChatGPT first dropped. I’ve toyed around with a lot of Language Models, built random side projects, built a couple from scratch and I’ve spent hours looking at the math behind it all.
2098
Detecting when LLMs are uncertain
A deep dive into a new reasoning technique called Entropix.
2099
SDXL Turbo: A Real-Time Text-to-Image Generation Model
SDXL Turbo is a new text-to-image mode based on a novel distillation technique called Adversarial Diffusion Distillation (ADD), enabling the model to create image outputs in a single step and generate real-time text-to-image outputs while maintaining high sampling fidelity.
2100
AI assisted search-based research works now
For the past two and a half years the feature I’ve most wanted from LLMs is the ability to take on search-based research tasks on my behalf. We saw the …