Christopher Sim
192 posts
Christopher Sim
@thisiscsim
design @harvey. x-@flexport, @uber, @join_arc 🇲🇾🇺🇸🏳️🌈
San Francisco, CA Katılım Şubat 2012
3.7K Takip Edilen590 Takipçiler
Excited to share the new ChatGPT Voice. More natural and intelligent conversations, powered by GPT-Live-1.
Grateful to have collaborated with @ryhanhassan and so many incredible teammates across research and applied to bring it to life.
OpenAI@OpenAI
Introducing GPT-Live, a new generation of voice models for natural human-AI interaction. Rolling out in ChatGPT starting today. You’ll want to turn the sound on for this one.
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We're live!
So excited to launch the next generation of models for interacting with computers alongside the incredibly talented @Gavmn
GPT-Live-1 feels much more like talking to a person in the same room, and is significantly more capable and intelligent.
OpenAI@OpenAI
Introducing GPT-Live, a new generation of voice models for natural human-AI interaction. Rolling out in ChatGPT starting today. You’ll want to turn the sound on for this one.
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Christopher Sim retweetledi
Come help us scale @harvey’s model training team.
If you’re interested in bringing frontier agent research into the Harvey product and working with:
- @baseten to scale up RL to 80M+ token virtual datarooms
- @PrimeIntellect to create structured agent training environments from unstructured legal data
- @FireworksAI_HQ to navigate the quality <> cost Pareto frontier with inference-time routing and advisor models
- @LangChain & LangChain Labs to build efficient verifiers and close the observability <> training feedback loop
- @appliedcompute to post-train open weight models and high-volume agents for end-to-end legal tasks
- @EngramLab to create an entire synthetic law firm and firm knowledge memory systems for better / more efficient open-world search
- @trajectorylabs & @NVIDIAAI to shape the frontier of continual learning and sovereign AI for high-stakes domains
- @mercor_ai & @SnorkelAI to build out Legal Agent Bench and other benchmarks across legal and other verticals
and other projects like this, then this is the role for you.
Apply here: harvey.ai/company/career…
Gabe Pereyra@gabepereyra
We are hiring for @Harvey’s model training team. This team will help Harvey expand from the application layer into the model layer and from legal into high end knowledge work more broadly. We are hiring AI researchers of all seniority, particularly those with experience post-training frontier or open source models. Our program is centered around large-scale model training, synthetic data generation, long horizon reinforcement learning, and rigorous evaluation in real world deployments. We are scaling-pilled and believe that nothing beats the combination of larger models and better training data. We’ve been able to generate incredibly realistic legal environments and validated that this allows us to post-train open source models to achieve frontier performance with agents. We plan to scale up these data generation and training efforts significantly across legal to start, and eventually other verticals. As a researcher, you will have access to thousands of GPUs and unique training data from our product and customer relationships. Your research will inform Harvey’s product strategy and power AI used for some of the most economically and societally impactful work in the world.
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Christopher Sim retweetledi
A&O Shearman was the first law firm to pilot Harvey in late 2022.
@GabrielMacht sat down with David Wakeling, the partner and board member who led A&O's early bet on Harvey.
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Christopher Sim retweetledi
Christopher Sim retweetledi
Q2 recap for @harvey
- +$100M NNARR
- 53% DAU/MAU
Key hires (including Q1)
- Anique (CPO) - prev VP of Product at Rippling
- Rachel (CMO) - prev CMO at Notion
- Brooks (CISO) - prev CISO at Roblox
- Keith (CSO) - prev CPO at Google
Product
- Agent unification - cloud agents can use all Harvey product surfaces
- Command center (EA) - monitor adoption and ROI by use case
- Contract intelligence (EA) - agentic contracting platform for enterprises
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- Migration to cloud agent infrastructure
- Integrating open source inference providers
- Scaling document processing (54TB / week)
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- Legal Agent Bench
- Open source post training
- Published multiple research directions with partners
We invested heavily in cloud agent infrastructure at the end of last year and in Q1. In Q2 we also unified many of our product surfaces (collapsed as @winstonweinberg says) by making them all tools accessible by our cloud agents.
Prior to this, there were a lot of capabilities in Harvey that were often only discovered by power users. As cloud agents get better and our product becomes more connected we are seeing users discover more of the product by learning from their agents (see plot of product surfaces per user).
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A few photos from design night with @harvey and @DecagonAI. Thank you to everyone who stopped by ✨
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Christopher Sim retweetledi
Today marks 11 years since Obergefell v. Hodges affirmed a simple, profound truth: everyone has the right to marry the person they love.
It's a day to celebrate the generations of LGBTQ+ people and organizers who fought to make that promise a reality.
When so many protections are being challenged, we should remember what it looks like when the Supreme Court expands freedoms instead of revoking them.
Love is always worth defending. Happy Pride.
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Christopher Sim retweetledi
This week someone targeted my family for harm with a false report. We’re physically OK, but that doesn’t mean we weren’t harmed. I am beyond furious.
Whatever your politics, this is awful, wrong, and can never become normal. substack.com/home/post/p-20…
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On Tuesday, @reve hosted a pop up booth at @tiatplace, giving attendees the ability to summon physical images from a bare keyboard.
Check out this clip I captured from the night.
#reve #tiat #figmadesign #sonyfx2
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Wow!!! We're so incredibly grateful for the interest. We’ve received >500 applicants, which absolutely exceeded our expectations.
We’ll try to get additional spots approved over the next couple of days, so please keep registering.
We’re also excited to share the lineup for our moderated conversation of the evening on Intelligent Interfaces:
@bjornrostad — Harvey,
@musho — Mercor,
@andymadrick — Notion,
@KalGrinberg — Factory,
@huaiwei_sun — Decagon
Looking forward to seeing everyone soon.
Christopher Sim@thisiscsim
If you’re at Config this year, @harvey is hosting a design night with our friends at @DecagonAI across from Moscone on June 24. Come join us, we'll have drinks, food, and conversations on the future of intelligent interfaces with other exceptional designers. Luma link below
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if you are diamond at league of legends the only thing stopping you from building a billion dollar company is finding a problem you are so excited by that you never think about anything else
gabriel@gabriel1
becoming top 5% league of legends player requires much more skill and intelligence than 95% of engineering jobs video games are super constrained immediate feedback loops, removing all need for passion the world is passion constrained, not intelligence constrained
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Christopher Sim retweetledi
There's no coincidence that this amount of happiness is taking place in THE WOKEst cities across America.
This is what ACTUALLY happens when you forced WOKEness and DIVERSITY in the world
We break the barriers the greedy elite placesld between us
BibimBallers@BibimBallers
Korean guy 🇰🇷 whips out the Mexican jersey 🇲🇽 under his Korean kit and the crowd goes wild 😂 I think our two countries are bonded for life 👊
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Christopher Sim retweetledi
Was great to speak with @MollySOShea and @nikogrupen about Harvey's 13x+ token usage growth since January, synthetic data for our Legal Agent Benchmark, and our plans to train legal foundation models at Harvey Labs:
Molly O’Shea@MollySOShea
NEW: Harvey Co-Founder + Head of Applied Research on the *Token Reckoning* Valued at $11B, @harvey is on a mission to win the entire legal category, competing head-on against the trillion-dollar labs Coding agents hit Karpathy's "agents work now" inflection in late 2025. Harvey Co-Founder @gabepereyra (fmr Google Brain, DeepMind & Meta) argues legal is hitting its version of that curve right now. With both Gabe + Head of Applied Research @nikogrupen, we cover: - Open-sourcing LAB (legal agent benchmark): 1,200+ tasks across 24 practice areas, 75,000+ rubric criteria - Who's leading the leaderboard - Harvey is the largest embeddings consumer for some of the labs - Why every law firm has to be multi-model: conflict risk - The billable hour is coming back, this time for AI tokens FYI: Harvey Labs is the internal research group pushing the frontier of legal AI. Run by Niko (fmr multi-agent RL at Google Brain) & @ItsJulioPereyra (fmr clerk + Big Law attorney), it partners with the labs, research community, & academia to bring frontier agent research into Harvey. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Gabe Pereyra (Co-Founder) & Niko Grupen (Head of Applied Research) (00:50) Inside Harvey's legal agent Benchmark (05:10) What happens after Benchmarking? (06:37) Why Harvey open sourced its research (09:21) Training models without client data (10:32) Google Brain vs. DeepMind (12:34) From Researcher to Founder (15:15) The Rise of the Inference Layer (18:38) The Agentic Shift (21:16) Harvey's 13 trillion tokens (23:48) AI's Biggest cost misconception (28:37) How Top AI founders learn (31:52) Learnings from Jensen Huang (34:14) How Harvey finds talent (35:41) Niko on Harvey's breakthroughs (36:38) Building a legal dataset from scratch (38:32) How to read AI Benchmarks (39:51) Niko's research playbook (40:51) The Opportunity beyond Benchmarks (41:45) Why Agent Harnesses matter (43:04) The Rise of Organizational AI
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Christopher Sim retweetledi
Christopher Sim retweetledi
Model strategy for @harvey:
We are working on the first model in our legal foundation model series, inspired by @cursor_ai's Composer. Two goals:
1. Allow us to serve frontier intelligence across our product surface areas at an affordable price and a strong security posture.
2. Create the foundations for law firms to build their own specialized models and own their own intelligence.
The model series will focus on complex client matters that span months and take dozens of associates. The agentic system will learn to control legal tech tools, sub agents and ask for help from frontier models or human partners, much like a senior associate.
We’ve open sourced benchmarks for evaluating our initial post training work that represents work done by associates and in-house lawyers. We are scaling these significantly using synthetic and human pipelines as well as building private evals for firms.
Open sourcing this data has allowed us to quickly validate the feasibility of post training open weight models for legal work. With our research partners we’ve already shown promising results post training open source models to approach frontier performance:
1. @baseten - novel compaction strategies for analyzing large data rooms.
2. @FireworksAI_HQ - matching frontier performance by using frontier as an advisor.
3. @appliedcompute - improving performance and reducing cost of large scale review tables.
4. @trajectorylabs & @nvidia - sovereign continual learning over client matters.
We plan to continue to invest heavily in working with research partners and open sourcing our data, models and research as much as possible. We believe open research in legal will be important to building trust in the frontier ecosystem.
We are also scaling our research team. Harvey Labs is our internal research group, responsible for pushing the frontier of legal intelligence and working closely with labs, research partners, and academia to bring the frontier of agent research into Harvey.
Labs is run by @nikogrupen and @ItsJulioPereyra - Niko worked on multi-agent RL at Google Brain and Julio clerked and worked in BigLaw. We believe this pairing is crucial for building frontier legal AI systems. Together they have already made significant progress in scaling our data and training efforts.
The long term goal of Harvey Labs is to contribute to the research and infrastructure required for the legal industry to create a frontier ecosystem. We believe that the best version of legal super intelligence is one where each law firm, enterprise and government owns their own specialized version.
We are hiring for Harvey Labs across the post training, agent and data stack and open to acquiring talented teams / neolabs in this space. If interested please DM me.
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