Jazbo

WANTS™ | Rude Boy | ML Research Engineer at  | HCI

[Jazbo @bugKrusha]

Five years at the spaceship. Wins, losses—growth. The greatest professional privilege of my career. Grateful for the people, the lessons…the mission.

Just getting started.

[Christina Warren @film_girl]

look you can do a whoopsie treason and you can fuck a direct. you can’t do both. well not the same scandal cycle anyway.

[Jazbo @bugKrusha]

Put “have you no decency” on a hoodie bruh, let me cop one💀

[DIN Intel Network @DININTELNETWORK]

BREAKING: Democratic Rep. Sarah McBride just flipped the script and left MAGA Rep. Keith Self speechless after he intentionally misgendered her. This is amazing.

[Claude @claudeai]

During pre-release testing, Claude Fable 5.2 and Claude Mythos 5.2 worked on ambitious projects in many different fields. Here are a few.

From a one-paragraph prompt, Fable 5.2 designed three working electronic devices, including this home voice assistant hub.

[Dr. Abdul El-Sayed @AbdulElSayed]

Oh so we official official👀

[Jazbo @bugKrusha]

@pavanrajam Good or bad?

[Jazbo @bugKrusha]

The future of intelligence is small, it’s private, it’s sovereign.

[Codez @0xCodez]

Andrej Karpathy:

“A 1B model can be much more effective than most current LLMs.

90% of current models waste a ton of capacity and money on remembering stuff that doesn’t matter.”

here is his 5 core thesis about Small LLM’s:

1. the intelligence was never the knowledge. Strip the memorized internet, keep the reasoning. What’s left is the cognitive core, and it’s small.

2. the core might fit in ~1B params. Maybe less. “Plenty of room at the bottom.” We’ve been paying for a library when we needed a brain.

3. size stopped being the bottleneck. What makes an agent work is the tools it can call and how tight the feedback loop is, not parameter count.

4. intelligence lives in the system, not the weights. A raw LLM is a CPU with no OS. Small core + good harness > giant model alone.

5. you can own it. A model on your hardware is one no one can rate-limit, price-hike, or deprecate on you.

in 12 months the gap between teams shipping on-device and teams paying per-token frontier bills won’t be capability.

TwIL an 8.8B model at 90%+ of frontier isn’t a benchmark flex.

It’s the thesis Karpathy’s been repeating all year, made real.

study more on this below ↓

[Jazbo @bugKrusha]

@thabhelo_tabs 🙏🏾🙏🏾🙏🏾

[Cassidy @cassidoo]

I haven't felt this level of millennial optimism in a minute

[matt @mattjoans]

We’re looking at a top 5 Twitter day of all time people

[Jazbo @bugKrusha]

I’ve literally never called it anything but its government name, what’s on it’s birth certificate.

[M1das @M1das_OW2]

ITS CALLED TWITTER NOW

[M1das @M1das_OW2]

ITS CALLED TWITTER NOW

[Aes🇺🇸 @AesPolitics1]

This is the greatest video ever.

[Shantini @shantinix]

The API is super cool and I think you're gonna love it!

[Kyle Ingram @SnapshotKyle]

They weren’t lying when they said LaMelo remembers everyone’s name 🤞🏾🐺

[Jazbo @bugKrusha]

Not during National AfroTech week in Houston.

[James Talarico @jamestalarico]

Texas forever.

[Jazbo @bugKrusha]

@bytemike14 Go get it 🙏🏾

[Jazbo @bugKrusha]

“No ML background required.”

[Anthropic @AnthropicAI]

Applications are now open for the Anthropic Residency, a paid, fixed-term research program for academics, technical founders, and staff-level engineers who want to make AI safe and beneficial for everyone. No ML background is required.

Apply by November 22: https://t.co/uhcXhKTgnO

[Simon Willison @simonw]

There's a buzzy new paper about GPT-6 Astra being able to directly interpret model weights (prompts full of floating point numbers) - I tried it with Qwen 3.8 27B on my laptop and found that, after 45+ minutes, that model could achieve the same thing https://t.co/6O7WltGP7K

[Jazbo @bugKrusha]

Cool, but generic and rigid. Glaringly absent? Adapting to a decade where there is a tectonic shift under most careers.

[jack friks @jackfriks]

claude opus 5.5 advice for next 10 years.