2761
The upcoming GPT-3 moment for RL
How RL training will scale up to thousands of diverse environments, similar to how pretraining scaled up text corpora.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,329 posts.
2762
Better Models: Worse Tools
About an aggravating tool-calling regression in newer Claude models.
2763
An Efficient Way to Extract the Main Topics from a Sentence
Last week, while working on new features for our product, I had to find a quick and efficient way to extract the main topics/objects from a sentence. Since I’m using Python, I initially thoug…
2764
Obsidian-Copilot: A Prototype Assistant for Writing and Thinking
Writing drafts via retrieval-augmented generation. Also reflecting on the week's journal entries.
2765
Image Compression with Neural Networks
Posted by Nick Johnston and David Minnen, Software EngineersData compression is used nearly everywhere on the internet - the videos you watch onlin...
2766
Opening up 'Zero-Knowledge Proof' technology to promote privacy in age assurance
Today, we open sourced our Zero-Knowledge Proof (ZKP) libraries, fulfilling a promise and building on our partnership with Sparkasse to support EU age assurance.
2767
AI 2040 and the cult of intelligence
I used to be one of these people. I read Yudkowsky and was like, OMG recursive self improvement hard takeoff AI is coming. Then I joined the real world and actually tried to do things. At comma, we ship a hardware product of similar complexity to a cell phone, and it’s really hard. Reality has lots of finicky details…
2768
AI may be making us think and write more alike
Large language models may be standardizing human expression and subtly influencing how we think, says study led by USC Dornsife researcher
2769
AI slop, suspicion, and writing back
On developing an involuntary reflex for spotting AI slop
2770
Once Claude can measure something, it can make it faster
Inside our performance sprint: the benchmarks Claude built, the loop each Slack thread ran, and the guardrails that let us ship 3,000 changes safely.
2771
Comparing Adobe Firefly, Dalle-2, and OpenJourney
“🔄 Update: after posting this on HN, some commenters provided Stable Diffusion and Midjourney results as well which are now included.” In the recent Photoshop Betas, users are now able...
2772
What happens if we remove 50 percent of Llama?
Discover Sparse Llama: A 50% pruned, GPU-optimized Llama 3.1 model with 2:4 sparsity, enabling faster, cost-effective inference without sacrificing accuracy.
2773
Next-generation AI models
We've put together an index of testing terms and articles, covering many of the basics of testing and definitions for common searches.
2774
Step 3.5 Flash – Open-source foundation model, supports deep reasoning at speed
Scores represent the mean of the following eight benchmarks listed below, excluding xbench-DeepSearch. The Step 3.5 Flash score is derived under standard settings (i.e., $w/o$ Parallel Thinking).
2775
Trinity large: An open 400B sparse MoE model
A deep dive into the open weight Trinity Large model, covering architecture, sparsity, training at scale, and why we shipped Preview, Base, and TrueBase checkpoints.
2776
The Differences Between Deep Research, Deep Research, and Deep Research
Dive into the world of AI engineering with this exploration of Deep Research in report generation. Learn how LLM-as-a-judge systems, machine learning, and ev...
2777
DeepWiki: Understand Any Codebase
How I use DeepWiki to speed up real coding work
2778
Ray Tracing Essentials, Part 1: Basics of Ray Tracing
Ray Tracing Essentials is a seven-part video series hosted by the editor of Ray Tracing Gems, NVIDIA’s Eric Haines.
2779
Basics of Neural Networks with example codes and illustrations
I began with inanimate objects living in a world of forces, and I gave them desires, autonomy, and the ability to take action according to a system of
2780
Wide and Deep Learning: Better Together with TensorFlow
Posted by Heng-Tze Cheng, Senior Software Engineer, Google ResearchThe human brain is a sophisticated learning machine, forming rules by memorizing...
2781
AI-assisted cognition endangers human development?
Does AI-assisted cognition threaten human development? Explore the risks of AI-assisted thinking and learn strategies to use AI tools without freezing your critical thinking.
2782
FAWK: LLMs can write a language interpreter
After reading the book The AWK Programming Language (recommended!), I was planning to try AWK out on this year’s Advent of Code. Having some time off from work this week, I tried to implement one of the problems in it to get some practice, set up my tooling, see how hard AWK would be, and… I found I’m FP-pilled.
2783
Use boring languages with LLMs
Why coding agents perform better in cohesive ecosystems like Go than fragmented ones like JavaScript or Python
2784
I recreated famous album covers with DALL-E
From Data to Daily Life
2785
2786
Which table format do LLMs understand best?
We benchmarked 11 data formats, including markdown tables, JSON, CSV, YAML, XML, and more, to see which LLMs understand best. We found surprising accuracy and token cost trade-offs.
2787
The ways we contain Claude across products
As agents grow more capable, so does their potential blast radius. Here's what we learned building containment for claude.ai, Claude Code, and Cowork.
2788
Munich 1991: The Roots of the Current AI Boom
1991: T and P of ChatGPT, distillation, deep residual learning, LSTM, GAN
2789
You only need the frontier model for one single edit
/prewalk hands the cheap model a trajectory, not a plan, retaining 92–97% of frontier pass rate at roughly half the cost on SWE-Bench Pro.
2790
AI’s Instagram Problem
AI has an Instagram problem. Just as Instagram’s parade of perfect physiques makes many people feel they don’t measure up, AI’s parade of exciting...