Brian Akaka

A generalist off-grid token-farmer.

[Brian Akaka @brianakaka]

@wshxnv Haha I built something similar: though I didn’t want to publicize it because I don’t want them to take it away. 😅

[Brian Akaka @brianakaka]

@JoaoCarabetta @ZenMagnets @LuciferIsLove1 Super cool.

[Brian Akaka @brianakaka]

canceled max. back to codex

[Brian Akaka @brianakaka]

@__tinygrad__ @samuelcolvin holy moly

[Brian Akaka @brianakaka]

renewed my max plan to give fable a go. immediately hit with flags, and I'm not training any frontier AI. Not a great experience. regret

[Brian Akaka @brianakaka]

@AISafetyMemes its just like humans

[Brian Akaka @brianakaka]

👀👀

[swyx @swyx]

just finished rerunning FC Diamond on my historical charts. none of the official tables/charts are capturing the degree of takeoff.

https://t.co/yXnS6JKr7M

its this same chart all the way down difficulty classes (below) breaks every curve fit because Fable is a diffferent CLASS of model, with beeeeeg model smell.

[Brian Akaka @brianakaka]

@aarondfrancis Do the thing. Don’t stop until you are done.

[Brian Akaka @brianakaka]

@Yuchenj_UW its a game of leapfrog. Of course OpenAI will beat it (they may rename 5.6 to 5.5.1 if they have too). and then Ant will beat them, and maybe Gemini will take the lead again 1x a year.

[Brian Akaka @brianakaka]

@MatthewBerman Loops? where we are going, we won't need loops.

[Brian Akaka @brianakaka]

Time to switch back to Claude

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Chris Albon @chrisalbon]

What if instead of one big agent we had a collection of small, independent, and loosely coupled agents each with their own specific purpose.

[Brian Akaka @brianakaka]

@aarondfrancis Do the thing. Don’t stop until you are done.

[Artur Chakhvadze @norpadon]

We are releasing our first quantized checkpoints for the Qwen3.5 series of models, co-designed jointly with our inference engine to achieve maximum possible performance on Apple hardware

Starting from 0.8B, 2B and 4B models

https://t.co/2R8BdhAfzv

[Brian Akaka @brianakaka]

Economic value of work per token is the metric.

[Tibo @thsottiaux]

Better memory = Shorter prompts = More utility per token

[Brian Akaka @brianakaka]

I was always an introvert who wanted to be more outgoing.

I realize now it’s because I am a reasoning model, not a realtime voice model.

[Brian Akaka @brianakaka]

Make this skill: UI Designer: “use imagen2 to generate a mockup of an incredible design based on the functionality and UX requirements . Make it {modern , minimal, Batman themed}

(Optional): here is a shitty design for reference but just to be clear it’s just for functional requirements. Don’t use this design.”

Then say to design it, with a /goal to make it close as possible.

[Ole Lehmann @itsolelehmann]

this is just the most ridiculous AI application i've ever seen lol

a Peter Thiel-backed startup that makes AI collars for cows is now worth $2 billion

and the more I read about it the cooler it gets. here's how it works:

every cow wears a solar-powered collar that talks to a network of radio towers and an app on the farmer's phone

instead of building physical fences, the farmer draws the fence on a map in the app, and the collar keeps each cow inside that invisible line using GPS

when a cow drifts toward the edge, the collar plays a sound to steer her, and a gentle vibration tells her which way to go.

it's like how a car beeps as you back up toward a wall

the cows learn the cues in a few days

so now a rancher can move an entire herd to fresh grass by sliding the fence on a map, without driving out to open a single gate

and that same collar is reading each cow's body the whole time.

it takes five readings per second on every animal, so the AI can catch a cow that's sick, injured, ready to breed, or about to give birth before a person would ever notice walking the field

so it's basically like WHOOP for cows too lol

and they gave the AI behind it the perfect name: the Cowgorithm

it's been trained on more than 7 billion hours of real cow behavior, which is why Halter calls the data its real asset and moat.

they know what a normal cow looks like better than anyone, so they can flag the odd one out instantly

it's already on more than 1M cattle across New Zealand, Australia, and a bunch of US states.

California even used it on public land to graze cattle in patterns that clear dry brush and slow down wildfires

costs about $5 to $8 per cow per month

a job that used to mean barbed wire, gates, and driving the fields all day is now mostly 1 person on their phone

[Tibo @thsottiaux]

Better memory = Shorter prompts = More utility per token

[Brian Akaka @brianakaka]

@MillieMarconnni Wow