Peter Kral

[Raytar @Raytar]

Andrej Karpathy spent 8 years at OpenAI and Tesla.

Last week he put everything he knows into one free 2-hour lecture.

People pay $15k for bootcamps that teach half of this.

You probably don't have 2 hours right now. Don't lose this in the feed.

Watch it. Then read the guide below and build your first loop.

[Georgi Gerganov @ggerganov]

Run upgraded Gemma 4 with llama.cpp (QAT + MTP)

[Peter Kral @pkral3]

https://t.co/011bMtyIgD

[Vaibhav Sisinty @VaibhavSisinty]

Man, we're entering the era where the selling point of your next laptop won't be the camera or the display. It'll be which AI models it can run locally.

And Apple just made the biggest move yet.

Bloomberg's Mark Gurman is reporting Apple is building an M7 Ultra chip with up to 1.5TB of unified memory.

For context, 8 Nvidia B200 GPUs together give you 1.44TB. One Apple chip would match that.

To put that in real terms: Llama 4 Maverick is a 400B parameter model that needs 200GB+ just to load. Right now it's basically a datacenter-only model. With 1.5TB, you'd run it at full precision on a single machine with room to spare.

No cloud. No API costs. No tokens. Just your machine doing the work.
But here's the part nobody is talking about.

This doesn't just help Apple. It helps every open-source model. Meta's Llama, Google's Gemma, DeepSeek, Mistral the models anyone can download and run for free.

The hardware to run them locally has been the bottleneck. That bottleneck is about to break.

The next laptop war won't be about specs. It'll be about which machine runs the best AI without an internet connection.

[Peter Kral @pkral3]

https://t.co/5vJU9rKD7E

[Peter Kral @pkral3]

https://t.co/OVyv7dr6PS

[Wan @Alibaba_Wan]

Wan-Dancer-14B is now open-source!

You can now generate long-duration rhythmic dance videos locally.

Grab the model here👉
https://t.co/cQcaazK6qH

[Peter Kral @pkral3]

https://t.co/4SktKdimAk

[Peter Kral @pkral3]

https://t.co/Gx48dTNZYv

[Peter Kral @pkral3]

https://t.co/kLmB58mrwH

[Peter Kral @pkral3]

https://t.co/k0v6nME5jM

[Anthropic @AnthropicAI]

We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.

We'll begin restoring access tomorrow, and will share an update soon.

We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.

[Peter Kral @pkral3]

https://t.co/4DpdtBKwl7

[Peter Kral @pkral3]

https://t.co/zpqH1jHO6c

[Hugging Models @HuggingModels]

Google just dropped Gemma 4 E4B IT, a model that handles ANY input and output type. Text, images, you name it. This is a game changer for multimodal AI.

[Peter Kral @pkral3]

https://t.co/4qIuVW10KU

[Peter Kral @pkral3]

https://t.co/HiKfJ2g7PA

[Peter Kral @pkral3]

https://t.co/1wwpg8a1xY

[Hugging Models @HuggingModels]

Big news for AI builders: NVIDIA dropped a quantized version of Qwen3.6 that fits in 35B parameters but runs like a 3B model. This FP4 MoE beast is a game changer for efficient inference.

[Peter Kral @pkral3]

https://t.co/n7qjzt1snG