4801
AI Update, Late 2019
It's been 7 months since my last commentary on the field, and as it became regular appearance in this blog (and in fact many people apparently enjoy this form and keep asking for it),
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,335 posts.
4802
DOGE Denizen Marko Elez Leaked API Key for xAI
Marko Elez , a 25-year-old employee at Elon Musk’s Department of Government Efficiency (DOGE), has been granted access to sensitive databases at the U.S. Social Security Administration, the Treasury and Justice departments, and the Department of Homeland Security. So it should fill all Americans with a deep sense of…
4803
Microsoft Research make breakthrough in audio speech recognition
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4804
Prompt Injecting Contributing.md
How a hidden prompt injection in CONTRIBUTING.md revealed that 40% of pull requests to a popular GitHub repository were generated by AI bots
4805
AlphaFold2 at CASP14: “It feels like one’s child has left home.”
The past week was a momentous occasion for protein structure prediction, structural biology at large, and in due time, may prove to be so for the whole of life sciences. CASP14, the conference for …
4806
Understanding and managing the impact of machine learning models on the web
This document proposes an analysis of the systemic impact of AI systems, and in particular ones based on Machine Learning models, on the Web, and the role that Web standardization may play in managing that impact.
4807
Deep Chernoff Faces
One of my favorite ¹ concepts for multi-dimensional data visualization is the Chernoff Face . The idea here is that for a dataset with many...
4808
A review on protein language models
Protein “language” is a lot like human language. Given the similarities, researchers have been building and training language models on protein sequence data, replicating the success seen in other domains, with profound implications. In this post, I will explore how transformer models have been applied to protein data…
4809
Show and Tell: Image captioning open sourced in TensorFlow
Posted by Chris Shallue, Software Engineer, Google Brain TeamIn 2014, research scientists on the Google Brain team trained a machine learning syste...
4810
Optimizing LLMs from a Dataset Perspective
Practical guide to improving LLM finetuning with better instruction datasets, covering data curation, prompt-output pairs, synthetic data, and experiment ideas.
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Back to our roots
Matthew Honnibal is a computational linguist from Sydney based in Berlin, Germany. He's the author of the spaCy Natural Language Processing library and the co-founder of Explosion.
4813
Google AI Challenge Winner Post-Mortem
The lead in the last month or so was an indicator of having good chances, but there was a huge shuffling of ranks in the last week and some last minute casualties.
4814
And yet It Understands
In high-dimensional vector spaces, numerical optimization is omnipotent.
4815
Programming AIs worry me
For some inane reason, Github classifies me as a "major open source maintainer", which means I get a free copilot subscription.1 I've been using it for a...
4816
Sora Update #1
We have been learning quickly from how people are using Sora and taking feedback from users, rightsholders, and other interested groups. We of course spent a lot of time discussing this before...
4817
What happens when coding agents stop feeling like dialup?
From magical to frustrating in months. Why AI coding agents feel like dial-up internet and what ultra-fast inference could unlock for developer productivity.
4818
OpenAI's "Study Mode" and the risks of flattery
Serious learning requires friction, frustration... and other humans
4819
Camera vs. Lidar
Company updates and technology articles from Scale AI.
4820
Has AI tells
A little AI tells detector helps us promote good writing.
4821
Apideck CLI – An AI-agent interface with much lower context consumption than MCP
TL;DR: MCP tool definitions can burn 55,000+ tokens before an agent processes a single user message. We built the Apideck CLI as an AI-agent interface instead:an ~80-token agent prompt replaces tens of thousands of tokens of schema, with progressive disclosure via `--help` and structural safety baked into the binary…
4822
Bringing the power of AI to Windows 11
The team and I are pumped to be back at Build with the developer community this year. Over the last year, Windows has continued to see incredible growth fueled by Windows 11 adoption. In fact, one of the mo
4823
An LLM does not need to understand MCP
Model Context Protocol (MCP) has became the standard for tool calling when building agents, but contrary to popular belief your LLM does not need to understand MCP.
4824
Two kinds of vibe coding
Back in 2009 I posted a simple Mandelbrot fractal viewer on the web: a single HTML file with inline Javascript. Just 329 lines of code, each pixel a tiny table cell. Click to zoom. Watch it iterate. That was about it!
4825
The unbearable slowness of AI coding
I’ve been coding entirely with Claude Code for the past two months. At first it was exhilarating. I was speeding through tasks. I was committing like mad.
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Using Google’s code history to write more code
Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software isn’t created in one dramatic step. It improves bit by bit, one l...
4828
Lessons from YC AI Startups
The evolution of the AI landscape, and YC's Copilot era.
4829
Using Claude to reduce the attack surface of code
Automated attack surface analysis and reduction can meaningfully improve the security of deployed software in the near term. In this post, we preview data we’ve collected from applying attack surface reduction techniques to large open-source codebases using Claude.
4830
Code execution through email: How I used Claude to hack itself
This is the story of how I used a Gmail message to trigger code execution through Claude Desktop, and how Claude itself (!) helped me plan the attack.