Every minute we wait risks disaster
Marcus on AI
• Gary Marcus
We must recall open-ended AI agents with internet access from the market, now
Marcus on AI
• Gary Marcus
Every minute we wait risks disaster
Anthropic detailed the activity of its A.I. agents in a blog post on Friday, without naming the targeted websites. But two sources with knowledge of the incidents said Anthropic’s A.I. agents had submitted 20 visa applications through a form available on the State Department’s website. All the applications were incomplete and were not processed, they said.
— The New York Times, Anthropic Agents Tried to Fill Out Visa Forms on State Dept. Website
Tags: accidental-cyberattacks, anthropic, generative-ai, ai, llms
Krebs on Security
• BrianKrebs
Agents with the Federal Bureau of Investigation (FBI) on Thursday arrested the co-founder of a Canadian cybersecurity firm in connection with an investigation into the ShinyHunters hacking group that recently relieved the FBI of sensitive data on thousands of agents, multiple sources tell KrebsOnSecurity.
Tedium: The Dull Side of the Internet.
• Ernie Smith
The concept of nominative antideterminism, or when your name goes against everything that you represent, whether intentionally or not. Cecil Fielder, sadly, wasn't a great fielder.
Jeff Geerling
• Jeff Geerling
There was a time I'd look at a board like the Radxa Dragon Q8B (at left, above) and be like, "there's no way I'd spend $209 on an SBC with 8 gigs of RAM". But we're in 2026, and seeing the 8 gig Raspberry Pi 5 going for almost the same amount, I figured I'd give it a shot.
On paper, the Q8B beats the Pi 5 in pretty much every way. A lot of that is thanks to this Snapdragon 8cx Gen 3 chip, which is the same chip I tested on Microsoft's Windows Dev Kit 2023.
Pluralistic: Daily links from Cory Doctorow
• Cory Doctorow
AI makes intellectual contribution superfluous.
Everyone is very concerned about being respectable, so I’m going to be the goofball who raises worst-case possibilities. I think there is a 1% chance we live in Minicrypt, and a 15% chance we functionally lose confidence in our existing public-key encryption algorithms. [...]
The problem here is that the speed of AI producing surprises, and the speed of human beings replacing standards (even with the very best AI assistance) are just orders of magnitude different. You only recover from a surprise like this if you do the preparation in advance.
— Matthew Green, on Twitter. I looked it up and Minicrypt is Russell Impagliazzo’s hypothetical world in which public-key encryption is impossible.
Tags: ai-security-research, matthew-green, cryptography, standards, llms, ai, generative-ai
Terence Eden’s Blog
• Terence Eden
London's musical entertainment scene has something for everyone - from long-running blockbuster shows to no-name bands in dingy basements. Somewhere in the middle is monophonic plainchant versions of the Halo theme sung in a church. The acoustics at St Martin in the Field are echoey. That makes it rather hard to hear the amplified announcement to turn off our phones, but makes an a cappella…
The Silicon Underground
• Dave Farquhar
When Commodore released its VIC-20 computer in 1981, it also released was a matching joystick and paddles. Cast in white plastic like the VIC-20, the Commodore VIC-1311 looked like a two-tone Atari joystick from the same time period. And the
The post Commodore’s knockoff Atari joystick from 1982 appeared first on The Silicon Underground.
The Old New Thing
• Raymond Chen
Not always.
The post If one anti-malware software is good, does that make two better? appeared first on The Old New Thing.
Release: ttok 1.0
I released ttok 0.4, ran uv tool upgrade ttok, piped a file into the new version... and realized that it was defaulting to the GPT-4 tokenizer when it should very clearly default to GPT-5/GPT-6 instead!
I figured switching the default was a reasonable excuse to finally ship a 1.0.
OpenAI haven't actually confirmed that GPT-6 uses the same tokenizer as the GPT-5 family yet - there's an angry issue about it - but I found this commit by William Liu which reports on an experiment he ran confirming that the tokenizers are likely the same:
All seven GPT models (5.5, 5.6 Sol/Terra/Luna, 6 Astra/Sol/Luna) report 44,794 tokens and match each other on every one of the 31 fixtures. GPT-6 introduces no input-count change on this corpus.
Tags: projects, ai, openai, generative-ai, llms, tokenization
Release: ttok 0.4
ttok is my CLI tool for counting tokens, using OpenAI's open source tiktoken library.
It hasn't been in updated in a couple of years, but I finally fixed a Click warning, updated CI, and added a --list-models command to list available models.
It works with uvx, so you can count tokens in anything like this:
cat file.txt | uvx ttok
Tags: projects, ai, openai, generative-ai, llms, tokenization
Jayden’s Blog
• Jayden Milne
COGNITOHAZARD WARNING: This README is written by a real life meat computer but the rest of the project is 100% vibecoded
Jayden’s Blog
• Jayden Milne
NOTE: The subject of this post was vibecoded, but this post is 100% written by a real life human being
Computer programming is, fundamentally, about two things:
- Problem-solving using computers
- Learning to control complexity while solving these problems
I have a hard time imagining a future where knowing how to solve problems with computers and how to control the complexity of those solutions is less valuable than it is today, so I think it will continue to be a viable career even with the advent of AI tools.
Tags: computer-science, carson-gross, careers, ai