Ajay Rayasam

Investor @oup_vc, @MIT alum (grad 2020)

[Ajay Rayasam @ajayoup]

@TobiasKatsch Beasts

[Ajay Rayasam @ajayoup]

@tianjun_zhang Nice work!

[Ajay Rayasam @ajayoup]

@MrRazzi17 Congrats man!!!

[Ajay Rayasam @ajayoup]

@shaneguML @rm_rafailov @arvind_io Great moves.

[Ajay Rayasam @ajayoup]

@fluorane @justinywong_

[Ajay Rayasam @ajayoup]

@vijaybolina Congrats!

[Ajay Rayasam @ajayoup]

@IanRountree Congrats!

[Ajay Rayasam @ajayoup]

@ml_angelopoulos @pmarca Mamba Mentality

[Ajay Rayasam @ajayoup]

Congrats to @exnx, @MichaelPoli6, and the rest of the @RadicalNumerics team!

[Radical Numerics @RadicalNumerics]

Introducing RND1, the most powerful base diffusion language model (DLM) to date.

RND1 (Radical Numerics Diffusion) is an experimental DLM with 30B params (3B active) with a sparse MoE architecture.

We are making it open source, releasing weights, training details, and code to catalyze further research on DLM inference and post-training.

We are researchers and engineers (DeepMind, Meta, Liquid, Stanford) building the engine for recursive self-improvement (RSI) — and using it to accelerate our own work. Our goal is to let AI design AI.

We are hiring.

[Herald @Herald_Dev]

We’re excited to introduce RunLLM v2 today! 🎉

RunLLM v2 is rebuild of the product from the ground up focused on delivering the most powerful and flexible platform for enterprise support teams.

Read the RunLLM v2 launch blog post:
👉 https://t.co/biFZuylteZ

Today’s launch includes:
🤖 A new agentic planner with fine-grained reasoning and tool use support
✨ A redesigned new UI that enables creating, managing, and inspecting multiple agents
⚙️ A Python SDK that allows you to exercise fine-grained control over support workflows

We’ll be sharing more throughout the week, but today we’re focused on how RunLLM’s new agentic capabilities enable more precise answers and more effective debugging.

[Ajay Rayasam @ajayoup]

Congrats to Snowcap Compute on announcing their $23M seed round led by @Playground_VC with participation from @OUP_VC, Cambium Capital, Vsquared Ventures and others.

We're hitting physical limits of conventional silicon and Snowcap is attempting to breakthrough with a novel approach — superconducting chips that can run classical algorithms when cryogenically cooled.

I love backing teams who've spent years, or even decades, obsessed with a contrarian idea. They shut out the noise and quietly build until their moment arrives. Long ways to go, but excited for what’s next. Privileged to work with the team and @PGelsinger on his first deal!

https://t.co/OQmEnNcUqu

[Ajay Rayasam @ajayoup]

@AGrillz @ycombinator X25

[Ajay Rayasam @ajayoup]

@ColeRotman Can’t do this for every opportunity, so you also have to have great “taste” and pick your spots.

[Pieter Abbeel @pabbeel]

Founders who were PhD or post-doc in my lab at Berkeley, **largely funded by NSF / DoD grants**, start-up, market cap (collected by OpenAI Deep Research)

[Paul Kohlhaas bio/acc @paulkhls]

To all aspiring DeSci founders and daos out there - send that cold email.

Tell your scientific idols about DeSci, and not why it helps them raise funds but what new collaboration models it enables

If you want help shoot me a DM of your email and I can give feedback 👩‍🔬 best submission gets 1000 $BIO

[Elon Musk @elonmusk]

@chongz @cartesia @buckymoore @kleinerperkins Nice

[Cartesia @cartesia]

We've raised a $64M Series A led by @kleinerperkins to build the platform for real-time voice AI.

We'll use this funding to expand our team, and to build the next generation of models, infrastructure, and products for voice, starting with Sonic 2.0, available today.

Link below to try it free 👇

[Ajay Rayasam @ajayoup]

Congrats to my friends @vsreekanti, @profjoeyg, @joe_hellerstein , @cgwu0530 and the rest of the @RunLLM team on their public beta launch. Check it out!

[Herald @Herald_Dev]

The RunLLM Public Beta is Live! 🚀

After almost two years of work, we’re launching RunLLM — the first AI Support Engineer. Built for advanced technical support, RunLLM:

✅ Saves support engineering time
✅ Accelerates customer adoption
✅ Generates customer and product insights

We’ve also designed an awesome new onboarding experience that we can’t wait for you to try — go to the RunLLM website to sign up and try it for free.

[Dylan Patel @dylan522p]

Honored to be @lexfridman podcast with the homie @natolambert
5 hour podcast dropped and it's a banger covering a lot of different topics.
We had so much fun riffing.
The secret to the hostage images Lex takes are now revealed with this nato selfie

[Ajay Rayasam @ajayoup]

Pumped for @w4nderlus7 and team!

[Piero Molino @w4nderlus7]

Today, I’m excited to unveil a project that’s incredibly close to my heart. As a lifelong gamer, I’ve always dreamed of pushing the boundaries of what’s possible in video games using my expertise in AI. Over the past year, my team at @StudioAtelico and I have been blending the magic of gaming with AI to create something special and groundbreaking: an on-device AI engine for games that empowers NPCs, agents, and natural language interactions in ways that were previously impossible or prohibitively expensive.
To showcase its potential, we built GARP, a tech demo inspired by Generative Agents. GARP demonstrates how our AI engine runs in real time, locally on-device—all without relying on the cloud and for free.
Can’t wait to see what game developers will build with the Atelico AI Engine! 🚀

Details and links below 👇