Mac Klinkachorn

Medication access for all @ | YC, @stanford CS

[Mac Klinkachorn @MKlinkachorn]

@hahnbeelee @sparab22 is an inspiration

[Mac Klinkachorn @MKlinkachorn]

@SimmsBW This is a 2011 mavs week

[Vamsi Varanasi @feynmanpoint]

Today, we’re launching @TuvaAI to build a human-centric future for agentic science.

Humans collaborating with AI can learn more than either working alone: humans guiding the research, equipped with agents that can test ideas quickly and autonomously, will deliver the next wave of scientific discovery. But science is all about the details. Neither Einstein nor AGI can drive your project forward without intimately understanding your growing, interrelated web of hypotheses, intermediate results, working threads, failed experiments, datasets, notes, and water cooler conversations.

Our first product, Rao, was born out of my frustration having to reteach LLMs these constantly changing details for every single task in my own research. Rao maintains a persistent, dynamic research memory that learns and remembers project context, history, and threads. This research memory then links into our scientific agents as well as other AI software you may already be using, such as Claude or Codex. With Rao, every scientist turns into a PI managing a proactive, agentic research team that automatically stays on the same page.

Rao is live in VS Code and by CLI, and can help with any scientific task that can be done in a computer. Our early users include computational biologists, theoretical neuroscientists, chip designers, and polymer physicists who use Rao daily to ideate, do math, analyze data, and write papers and grants.

Now, we’re excited to announce Rao in closed beta. If your science mostly happens in a computer—theory, computational modeling, experimental data analysis, scientific writing—Rao can help you discover more, faster. Sign up for our waitlist, and if you’re a fit, we’ll work with you to tailor new, contextual agents that augment the way you do science. Link in the comments.

More personally: I’ve been doing scientific research since I was a kid. Scientists do so much for the world, choosing a painstaking career for the joy of discovery, developing technologies we use every day along the way. And yet, the tools scientists use are often cumbersome and woefully out of date. For me, Tuva is much about empowering the people of science with products they love as it is about the discoveries we’ll help them make. And I’m lucky to work with some wonderful humans along the way—@SamsaraDurvasu1 @anuvellore @KimchiOfer among many others. If our mission resonates, please reach out.

[girish @googrish]

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof.

today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data.

open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise.

with castform, model training is as simple as prompt engineering. @castformai

bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns.

see what you can build with castform👇

[Mac Klinkachorn @MKlinkachorn]

@zephratic LFG

[Jack @jackblatch_]

Want to get paid to write @EffectTS_ code day to day? We've gone all in and I'm hiring product and platform engineers to join the team in SF and help us build out AI agents for healthcare.

Join us!

[Mac Klinkachorn @MKlinkachorn]

@yashdulla @ycombinator CRM

[Mac Klinkachorn @MKlinkachorn]

@zephratic @BrendanFoody @mntruell @gsivulka @zachcohen25 @_erfie @SasankhM

[eric @zephratic]

it’s a special time to start something as a dropout or recent grad. the success of @BrendanFoody, @mntruell, and @gsivulka are great examples of what’s shifted structurally for younger founders. @zachcohen25 and i wrote about why this is here: https://t.co/EyOYJX2oSl

[Y Combinator @ycombinator]

����@TrellisInsights (YC W24) makes unstructured data SQL-ready. It extracts and transforms your unstructured data to SQL-compliant tables with schema you define with natural language.

https://t.co/aVEBMGi3z6

Congrats on the launch, @MKlinkachorn and @jhslin!

[Martian @withmartian]

Martian Raised $9M from @NEA @Prosus_Ventures and @GC and is launching its beta today!
Our LLM router dynamically routes each request to the best LLM. We beat GPT-4 on @OpenAI's own evals (colab to replicate in thread) while cutting costs up to 98%+
https://t.co/JeSxnmU6sR

🧵

[Andreas Wallraff @AndreasAtETH]

Timely #physics question.
Is this piece of material on my desk a room temperature #superconductor at ambient pressure?
If not, what kind of material is it?

[Mac Klinkachorn @MKlinkachorn]

@cory @joewhaley Adding fitness training to Inception ?

[friends and family @friendsandfam_]

@MKlinkachorn built Saif System: infrastructure for semantic video search and summary

[Mac Klinkachorn @MKlinkachorn]

@polak_jasper Slides

[Mac Klinkachorn @MKlinkachorn]

@dropout_dao 🏡