Possibly through the standard process of dissemination, and research we might see more interest worldwide, to mitigate the risk of being "locked out" and invest in alternatives. We're yet to see the level of effectiveness, but an undeniably important change to keep an eye on 👀🚀
Looking to HSL (Humanity's Last Exam), Claude Mythos/Fable 5 scored ~64% with tools enabled (According to Anthropic). This puts it under the >85% needed to be called super intelligent. But well within 56% – 85% for a "Human Expert Level" classification. For Comparison...
If this style of policy holds/grows in the future, it creates a stronger incentive for developing models outside current top labs. Even if a step behind the flagship ones, it creates a space in the market where they could be more competitive than the available flagship options...
Going after general intelligence with foundational models in the current state feels so much like brute-forcing encryption. It can achieve the objective in most cases, but is it the most eloquent/efficient solution?
A mental model for working with coding agents is that they're blind squirrels running into a maze and bumping into walls. You must place the walls (verifiable constraints) strategically so that they end up in the general region you want them in.
From Mr. Brooks' real Roomba vacuum robot, to a pool cleaner robot turned a superintelligent artist. Not taking sides on the AGI roadmap debate here, but the connection is so precise and delightful, and what a good way to illustrate this concept!
As I was going through "A Brief History of Intelligence", it has been fascinating to be reminded that the debate on whether LLMs can or cannot scale to AGI, has been truly in the works for at least 35 years...
@maxsbennett
The time it took evolution to develop complex steering via Nematodes versus the ability to develop language in Humans is a lifetime versus a blink. I thought that was interesting, and also how it ties back to one of my favorites, Zima Blue from LDR.
This is the actual email snippet it sent me.
Runs fully offline; none of your emails or messages touch an external AI server. No expensive LLM API add-ons.
@ollama_ai @AnthropicAI
If you're curious how any part works, drop a reply 👇
Been using Claude Code for a few days now.
Last week I built smth: a personal assistant that pulls my Gmail, Calendar, WhatsApp and LinkedIn every morning and sends a structured daily briefing to my inbox.
Runs completely locally. $0 extra on top.
1) Here's how it works 🧵
2) The part I spent most time on was the structure itself. I didn't want a data dump, I wanted it to think about what actually matters.
It opens with a quote picked by the AI based on what's in your schedule that day. Not generic.
Then 6 sections →
just another quick update on this research paper from *checks watch* 2 whole weeks ago: as it turns out, the new opus 4.6 data point is so far out of distribution that using the *same* methods from their paper to get a sigmoid fit results in a asymptote 2x lower than reality
Just wrapped up On the Edge by @NateSilver538:
1) Khachapuri? Didn’t see that coming! 😆🧀
2) A great window into the River, risk, philosophy, and thinking frameworks for high-impact tech developments 👏
For the tenth consecutive day in Tbilisi, citizens are protesting against Georgian Dream's pro-Russian policies.
Today, there are no special forces or police on the streets. Instead, groups of violent men dressed in black are running around, beating people.
#GeorgiaProtests