721
Reinforcement learning, explained with a minimum of math and jargon
To create reliable agents, AI companies had to go beyond predicting the next token.
New
The latest blog posts to take off on Hacker News. 1,227 posts.
722
The bitter lesson is coming for tokenization
Highlights the desire to replace tokenization with a general method that better leverages compute and data. We'll see tokenization's fragility and review the Byte Latent Transformer arch.
723
Gemini Robotics On-Device brings AI to local robotic devices
We’re introducing an efficient, on-device robotics model with general-purpose dexterity and fast task adaptation.
724
The NO FAKES act has changed, and it's worse
A bill purporting to target the issue of misinformation and defamation caused by generative AI has mutated into something that could change the internet forever, harming speech and innovation from here on out.The Nurture Originals, Foster Art and Keep Entertainment Safe (NO FAKES) Act aims to...
725
TPU Deep Dive
I've been working with TPUs a lot recently and it's fun to see how they had such different design philosophies compared to GPUs.
726
MCP is eating the world
Despite the hype, Model Context Protocol (MCP) isn’t magic or revolutionary. But, it’s simple, well-timed, and well-executed. At Stainless, we’re betting it’s here to stay.
727
Agentic Misalignment: How LLMs could be insider threats
New research on simulated blackmail, industrial espionage, and other misaligned behaviors in LLMs.
728
Phoenix.new – Remote AI Runtime for Phoenix
Documentation and guides from the team at Fly.io.
729
AI is going to hack Jira
Hide your kids, hide your wife: how the Agile Industrial Complex has set us all up to be duped by AI codegen
730
Compiling LLMs into a MegaKernel: A path to low-latency inference
TL;DR: We developed a compiler that automatically transforms LLM inference into a single megakernel — a fused GPU kernel that performs…
731
How OpenElections uses LLMs
In the 12-plus years that we’ve been turning official precinct election results into data at OpenElections , the single biggest problem has been converting pictures of results into CSV files. Many of the precinct results files we get are image PDFs, and for those there are essentially two options: data entry or…
732
From LLM to AI Agent: What's the Real Journey Behind AI System Development?
Confused by LLMs, RAG, & AI Agents? We break down the spectrum of AI system design with a familiar resume-screening example to show the leap in capabilities (and complexity) at each level.
733
Remote MCP Support in Claude Code
Connect your favorite development tools and data sources securely to Claude Code through remote MCP servers. Today, we’re announcing support for remote MCP servers in Claude Code.
734
Andrej Karpathy's talk on the future of the industry
Transcript of Andrej Karpathy's YC AI SUS talk at Y Combinator on June 17th, 2024.
735
Revisiting Minsky's Society of Mind in 2025
AI Agents, Modularity, and Alignment
736
Building agents using streaming SQL queries
Table of Contents Agents Need to Interact With LLMs Agents Should Be Event-Driven Agents Need Context Agents Require Memory When SQL Is Not Enough Parting Thoughts AI Agents have improved in leaps …
737
Is there a half-life for the success rates of AI agents?
Building on the recent empirical work of Kwa et al. (2025), I show that within their suite of research-engineering tasks the performance of AI agents on longer-duration tasks can be explained by an extremely simple mathematical model — a constant rate of failing during each minute a human would take
738
I counted all of the yurts in Mongolia using machine learning
The Fall of Civilizations podcast put out a 6¾-hour episode on the history of the Mongol Empire, which I eagerly listened to. After finishing the episode I wondered about contemporary Mongolian society, I wanted to learn what the lands that the Mongol Empire exploded from are like in our current day. There are many…
739
Your Brain on ChatGPT
Check project's website: https://www.brainonllm.comWith today's wide adoption of LLM products like ChatGPT from OpenAI, humans and businesses engage and u…
740
What Google Translate can tell us about vibecoding
There has been rather a lot of doomsaying (and perhaps astroturfing) lately about LLMs as the end of computer programming. Much of the discussion has been lacking nuance, so I’d like to add mine. I see claims from one side that “I used $LLM_SERVICE_PROVIDER to make a small throwaway tool, so all programmers will be…
741
LLMs pose an interesting problem for DSL designers
The most exciting part of Programming Languages (PL) research for me has always been in Programming Language Design.
742
Time Series Forecasting with Graph Transformers
Introduction to Kumo Relational — the relational foundation model for predictive AI on relational data
743
Building Effective AI Agents
Practical guidance from Anthropic on building reliable AI agents, from simple composable patterns to fully autonomous systems.
744
Making 2.5 Flash and 2.5 Pro GA, and introducing Gemini 2.5 Flash-Lite
Gemini 2.5 Flash and Pro are now generally available, and we’re introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet.
745
746
O3 Turns Pro
You can now have o3 throw vastly more compute at a given problem.
747
Claude Code feels like magic because it is iterative
Personal blog of Omar Abid
748
Generative AI coding tools and agents do not work for me
People keep asking me If I use Generative AI tools for coding and what I think of them, so this is my effort to put my thoughts in writing, so that I can send people here instead of having to repeat…
749
The drawbridges come up: the dream of a interconnected context ecosystem is over
The AI era is speedrunning the Web 2.0 story. Open and accessible MCPs are not our future. Integrations will be tightly governed.
750
Snorting the AGI with Claude Code
blog - kade killary