Chris Pondoc

founding mts @simile_ai, prev @stanford

[Andrew @wesel0]

Simile trains a simulation model. Also, we train another model that predicts the error of the simulation model (the “confidence model”). Tucked away in a secret dungeon below Mission Bay, we also have a “confidence confidence model” that predicts the error of the confidence model, but this one is saddled with a certain sinister statistical spirit that must be contained at all costs! To contain San Francisco’s crisis of confidence, Members of Technical Staff across the valley must come together and read Simile’s confidence blog post today!

[Simile @simile_ai]

Anyone can simulate the future. But the simulation only matters if it’s trustworthy.

At Simile, we train two types of models: simulation models and confidence models. Our first research blog post explores the origin of our proprietary confidence model, which predicts the accuracy of our population simulations and, in turn, makes them actionable.

https://t.co/qz0yPZzY55

[Joon Sung Park @joon_s_pk]

Five months ago, we launched @simile_ai with the belief that simulation would become a new way for the world to make decisions.

Today, that belief feels less like a thesis and more like the beginning of a new category.

Incredibly proud of my team. We are just getting started.

[Simile @simile_ai]

Today we’re announcing our Series B.

We’ve raised $200M at a $2B valuation from Greenoaks with participation from Index Ventures, Hanabi, A*, Bain Capital Ventures, CVS Health Ventures, and Definition.

Our mission is to simulate all eight billion people on earth, accurately.

[Percy Liang @percyliang]

I think it’s pretty clear that simulation is the next frontier for AI.

The most impressive feats of AI to date are when we have a clear environment + reward, whether it be beating Le Sedol at Go, winning an IMO gold medal, or writing entire apps from scratch. In these cases, the RL algorithm can try different actions, and observe the well-defined consequences in the safety of a docker container.

But what about messy real-world situations involving people? The rewards are unclear, the stakes are high, and you can’t experiment in the real world. But these situations are precisely where the next big opportunity in AI is. To crack this, we need to *simulate* society (“put society into a docker container”). Concretely, this means building a model that can predict what will happen in any given situation (real or hypothetical). If we can do this, we are only limited by our imagination: predict the future, optimize for better outcomes, answer hypothetical (“what if”) questions. Ultimately, this goes beyond making better decisions, but it’s about giving us a better understanding of ourselves and the world.

Simulation is the whole enchilada. And this is exactly the research that @simile_ai is working on. Read more here:
https://t.co/eBMW2beHdT

[Simile @simile_ai]

Simile is increasing decision-making capacity and decreasing research time. We are proud to work with partners like @CVSHealth! 🤝

Projects that took months are now taking hours, and studies are closer resembling human behavior than prior self-reported research - all with the goal of providing the best products and services for customers at companies like CVS Health, where the customer is centered in every decision.

Read more in the CVS Health whitepaper below.

[Chris Pondoc @chris_pondoc]

@KolluriAkaash 🐓🐓🐓

[Simile @simile_ai]

At Simile, we have built the first AI simulation of society, populated by agents based on real humans.

The future is too important to be left to chance. Join us.

[Andrej Karpathy @karpathy]

Congrats on the launch @simile_ai ! (and I am excited to be involved as a small angel.)

Simile is working on a really interesting, imo under-explored dimension of LLMs. Usually, the LLMs you talk to have a single, specific, crafted personality. But in principle, the native, primordial form of a pretrained LLM is that it is a simulation engine trained over the text of a highly diverse population of people on the internet. Why not lean into that statistical power: Why simulate one "person" when you could try to simulate a population? How do you build such a simulator? How do you manage its entropy? How faithful is it? How can it be useful? What emergent properties might arise of similes in loops?

Imo these are very interesting, promising and under-explored topics and the team here is great. All the best!

[Lainie @ElainaYallen]

A privilege to build @simile_ai with the most inspiring customers and teammates

[carolyn zou @cqzou]

we launched :)

[Chris Pondoc @chris_pondoc]

@cqzou Adobo 🙏

[Chris Pondoc @chris_pondoc]

@wesel0 Omg is that Andrew Wesel

[Joon Sung Park @joon_s_pk]

Introducing Simile.

Simulating human behavior is one of the most consequential and technically difficult problems of our time.

We raised $100M from Index, Hanabi, A* BCV, @karpathy @drfeifei @adamdangelo @rauchg @scottbelsky among others.

[Estela L. França @estelalacombef]

Today, @Simile_ai came out of stealth. Simile changes how decisions are made - instead of guessing, enterprises can now simulate the outcome of their decisions before making them. I can't imagine a more exciting thing to work on

[Zoe @zoeeyang]

New year, new continent, new company - and a powerful new way to understand consumers

Honoured and beyond excited to be building with the amazing team at @simile_ai !!

[Manav Rathod @manavr123]

Excited to build the future of decision-making!

[Mihika Kapoor @mihikapoor]

Simile is out of stealth!

At Simile, we have built the first AI simulation of society, populated by agents based on real humans.

We are building a foundation model that predicts human behavior in any situation, and a product that deploys it at scale.

Thrilled to be on this mission.

[Michael Bernstein @msbernst]

Today we're launching Simile, the simulation company. What happens when AI can help you foresee how real people will respond to your decisions, your ideas, your products, and your policies?

[SISL @SISLaboratory]

We present PyroRL, a new RL environment for wildfire evacuation. The environment simulates evacuating populated areas through paths from a grid world containing wildfires.

Demo: https://t.co/cFFmWu9S6L
Github: https://t.co/rkCQbHQjPL