dr_alphalyrae's profile picture. Portfolio Manager for NVentures, @NVIDIA’s venture capital arm | previously a product manager and scientist | views are all mine

Vega Shah

@dr_alphalyrae

Portfolio Manager for NVentures, @NVIDIA’s venture capital arm | previously a product manager and scientist | views are all mine

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I’m pleased to share that I am joining @NVIDIA Ventures as Portfolio Manager today. After spending the past several years immersed in the world of tech and techbio startups, building products, partnering with founders, and helping scale technologies, this transition feels like a…


Vega Shah reposted

We’re releasing a new eval to measure expert-level scientific reasoning: FrontierScience. This benchmark measures PhD-level scientific reasoning across physics, chemistry, and biology. It contains hard, expert-written questions (both olympiad-style problems and longer…


Vega Shah reposted

Exceptional performers: 2 discrete populations over time "Most early top performers do not become top performers at peak age and, perhaps more notably, most top performers at peak age were not early top performers."

EricTopol's tweet image. Exceptional performers: 2 discrete populations over time 
"Most early top performers do not become top performers at peak age and, perhaps more notably, most top performers at peak age were not early top performers."

Vega Shah reposted

A massive new study on peak performance included 34,000 international top performers: Nobel laureates, renowned classical music composers, Olympic champs, and the world’s best chess players. It shows early specialization is a trap, and the road to greatness is long and varied.

BStulberg's tweet image. A massive new study on peak performance included 34,000 international top performers: Nobel laureates, renowned classical music composers, Olympic champs, and the world’s best chess players. It shows early specialization is a trap, and the road to greatness is long and varied.

Vega Shah reposted

🔥Exciting news for the ML atomistic simulation community - big speedups on the way for MLIP inference and more! We're thrilled that TorchSim is featured as a key integration partner in @nvidia's newly released ALCHEMI Toolkit-Ops. What does this mean for you? Better…

BenBlaiszik's tweet image. 🔥Exciting news for the ML atomistic simulation community - big speedups on the way for MLIP inference and more! 

We're thrilled that TorchSim is featured as a key integration partner in @nvidia's  newly released ALCHEMI Toolkit-Ops. What does this mean for you? Better…

Vega Shah reposted

Engineered base editors with reduced bystander editing through directed evolution - @rmperrotta @geochurch go.nature.com/4qmupbv

NatureBiotech's tweet image. Engineered base editors with reduced bystander editing through directed evolution - @rmperrotta @geochurch go.nature.com/4qmupbv

Vega Shah reposted

Natural daylight and improved glucose control in Type 2 diabetes cell.com/cell-metabolis… @Cell_Metabolism

EricTopol's tweet image. Natural daylight and improved glucose control in Type 2 diabetes
cell.com/cell-metabolis… @Cell_Metabolism

Vega Shah reposted

Our efforts at @OpenAI to advance scientific progress aren't just limited to math/physics/coding. In this work, GPT-5 was evaluated on its ability to optimize wet lab experiments. Very impressive work from @MilesKWang and team!

While humans acted as GPT-5’s hands for carrying out the protocols, we also piloted an autonomous robot. It was built to execute arbitrary Gibson cloning protocols from natural language, with human supervision for safety.



Vega Shah reposted

Very impressive American open model launch.

This post is unavailable.

Vega Shah reposted

Here's a bit of info on how we train our agents. We co-authored a technical blog post with @nvidia about how build RL environments and train agents in them.

At Edison Scientific, we build agents for scientific discovery. Training these agents often requires scaling to 1000s of simultaneous environments, for which we rely on @nvidia's recently announced NeMo Gym and RL frameworks. Read more about the integration with Aviary



Vega Shah reposted

At Edison Scientific, we build agents for scientific discovery. Training these agents often requires scaling to 1000s of simultaneous environments, for which we rely on @nvidia's recently announced NeMo Gym and RL frameworks. Read more about the integration with Aviary


Vega Shah reposted

Today, @NVIDIA is launching the open Nemotron 3 model family, starting with Nano (30B-3A), which pushes the frontier of accuracy and inference efficiency with a novel hybrid SSM Mixture of Experts architecture. Super and Ultra are coming in the next few months.

ctnzr's tweet image. Today, @NVIDIA is launching the open Nemotron 3 model family, starting with Nano (30B-3A), which pushes the frontier of accuracy and inference efficiency with a novel hybrid SSM Mixture of Experts architecture. Super and Ultra are coming in the next few months.

Vega Shah reposted

NEWS: NVIDIA announces the NVIDIA Nemotron 3 family of open models, data, and libraries, offering a transparent and efficient foundation for building specialized agentic AI across industries. Nemotron 3 features a hybrid mixture-of-experts (MoE) architecture and new open…

nvidianewsroom's tweet image. NEWS: NVIDIA announces the NVIDIA Nemotron 3 family of open models, data, and libraries, offering a transparent and efficient foundation for building specialized agentic AI across industries.

Nemotron 3 features a hybrid mixture-of-experts (MoE) architecture and new open…

Vega Shah reposted

Today we are releasing Tinker to everyone, and now with vision input! You can now finetune a frontier Qwen3-VL-235B on your own image+text data, bringing your own algorithm (sft, RL, something else?). We'll take care of the GPU infra. Full update: thinkingmachines.ai/blog/tinker-ge…


Vega Shah reposted

Just a year after the first AI-designed protein was made, scientists are preparing for clinical trials testing AI-designed antibodies go.nature.com/48wNIJ0


Vega Shah reposted

The next data center frontier is in orbit. @CNBC highlights @Starcloud_Inc_, an NVIDIA Inception member, which trained the first LLMs in space on NVIDIA. In-orbit AI workloads can cut energy use and cooling demands, with Starcloud projecting energy costs could be 10x lower,…

Nvidia-backed startup Starcloud trained an AI model from space for the first time. Last month, the company launched a satellite with an Nvidia H100 graphics processing unit. Now, the company’s Starcloud-1 satellite is running and querying responses from Gemma, an open LLM from…

CNBC's tweet image. Nvidia-backed startup Starcloud trained an AI model from space for the first time. 

Last month, the company launched a satellite with an Nvidia H100 graphics processing unit. Now, the company’s Starcloud-1 satellite is running and querying responses from Gemma, an open LLM from…


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