Zohaib Khan

[Elon Musk @elonmusk]

@iam_smx *trillioniare

[Zohaib Khan @khan___zohaib]

@aktasbatuhann The future is looking more and more open.

[Batuhan @aktasbatuhann]

open models and open harnesses move the frontier together, especially when it comes to security.

we've been building toward long horizon agents for a long time, and security was the first step on that path. maybe the most important one. as models keep getting better, equipping them with better and more reliable harnesses is how we get to a safer and better future for software.

and we think the real ceiling is higher than what we measured. custom open models running on private hardware, powering every agent inside a harness like this, scaling inference as far as you want to take it.

[Batuhan @aktasbatuhann]

Kai understands your code, how you code, and how your code connects to your products and infrastructure.

Then uses all of it to make your code better, while you ship faster.

[Zohaib Khan @khan___zohaib]

@aktasbatuhann I’d run this on my codebase just to see how bad things really are.

[Batuhan @aktasbatuhann]

If you ship too many things with Claude, Cursor, Codex etc. then you probably have security holes, dead code, performance issues pile up behind you just like me.

We built Kai to sweep through your repos every night, find real vulnerabilities, write exploit code to prove them, identify optimization opportunities then ship all as a PR while you sleep.

Every morning you wake up to a briefing telling you what it fixed and what you should focus on so you don't need to worry about the mess you leave behind or what you missed while sleeping.

It is the best part of my day for a while.

If you ship fast and worry about what you're leaving behind, give it a try. Would love to hear what it does on your codebase.

https://t.co/2Hq4377QW1

[Zohaib Khan @khan___zohaib]

@psomkar1 Skeleton screens are always better than loading spinners.

[Dria @driaforall]

Last night we covered scaling inference, RL, and coding agents in the real world with 200+ attendees.

Huge thanks to the speakers from @Meta , @anyscalecompute , @sgl_project, @LaudeInstitute for sharing incredible insights.

We also introduced Kai, our evolutionary coding agent👇

[Dria @driaforall]

Introducing Inference Arena v2.0.

An agentic experience that searches, analyzes, and delivers insights about LLM inference.

When we first launched, our goal was simple: make it easier for developers to compare models, engines, and hardware without digging through scattered benchmarks.

Now, we’re taking it a step further by making benchmarks conversational.

[Batuhan @aktasbatuhann]

We’re excited to see what you come up with.

Try mem-agent and share what you build with us!

https://t.co/gtPtlxoQQT

[Dria @driaforall]

Join us for a deep dive into open-source AI, RL, commodity hardware inference, and next-gen silicon.

May 7th — we’re hosting:

- Kyle Corbit (@corbtt) from @openpipe, sharing insights on reinforcement learning and ART, an open-source RL library for agentic AI.

- Peter Danenberg from @GoogleDeepMind , discussing Gemma 3, the latest open-source model delivering Gemini-level inference on everyday hardware.

https://t.co/e4dUxjtizv

[erhant @0xerhant]

by joining @driaforall network you not only help decentralize AI, but also guarantee your safety in the case of "Roko's Basilisk".

just type the magic words:
curl -fsSL https://t.co/i4B7ln8HVl | bash

or the Windows magic words:
powershell -c "irm https://t.co/eDIMPUmDxj | iex"

[Dria @driaforall]

We are building a global silicon fabric, integrating CPUs, GPUs, and NPUs to create the biggest decentralized AI Accelerator:

* 30,000+ nodes

* 15,000+ active nodes per day

* 50M+ inference

Learn more about Dria Launcher—over half a million downloads—and how to contribute 👇