Jerry Wu

This account is verified. Learn more

@Jerr_Wu

RL environments for knowledge work

Founder @ Halluminate.ai

CS/ML @cornell.

San Francisco Joined September 2016

917 Following 1K Followers 249 Posts

Latest posts 5

Jerry Wu @Jerr_Wu Oct 22

Super impressive results from the Google team!

Halluminate Verified account @HalluminateAI Oct 22

We ran Westworld Finance Diligence Bench on the latest frontier models. Gemini 4 (Antigravity) leads at 0.61, with Claude Opus 5.5 (Claude Code) at 0.59.

Quick reminder: our bench consists 88 tasks built on real acquisition deal data, run on a simulated analyst desktop.

View quoted post on X

Jerry Wu @Jerr_Wu Oct 1

Today we're excited to announce @HalluminateAI's $30M Series A led by @oakhcft with participation from @YCombinator, @orangecollectv, @FTPartners, @heavybit, and more.

Jerry Wu @Jerr_Wu Sep 28

We made a bet at @Halluminate in mid-2025 that Finance would be the next big field after coding that would really take off from agent usage. Few reasons for this:

1. Finance is the world's largest knowledge work industry
2. The outputs are semi-verifiable (which has some nice properties for RL)
3. Financial reasoning generalizes to a lot of other knowledge work domains the same way SWE agent capabilities generalized to a lot of other engineering domains (ex. CAD, MLE).

Almost all my peers in banking have become increasingly AI-pilled in how they do work (similar to SWEs in Dec 2025 with Claude Code) and there's so much more progress to come soon.

Its even more exciting to see our hard work in RL Envs/Benchmarking play out in the hands of consumers.

If you'd like to contribute to building Financial Superintelligence we're hiring!

Brett Caughran Verified account @FundamentEdge Sep 27

Today is the day that AI passed the "financial modeling Turing test" for me.

A "push button" build from scratch Skill that one-shotted a model on $MU that is indistinguishable (to me) from a model that a junior analyst would build from scratch. With full, impeccable adherence to all aspects of who i like to format, design & build models (took a few turns to dial it in).

Opus 5.5 is unbelievable.

View quoted post on X

Jerry Wu @Jerr_Wu Sep 18

Jev (Noul) replacing LLM as a Judge functions in our Data Quality Pipelines for RL Environment creation.

Still collecting results on overall alignment compared to prior methods but overall seems quite strong (and blazing fast). Easy to see the potential gains this primitive can have in the entire data industry.

Hats off @CompleteSkeptic & team! The copy and paste instructions for Claude Code in the docs were also quite neat.

Jerry Wu @Jerr_Wu Sep 16

Although there may be some value in training on alignment specific RL Envs, my intuition is that the vast majority of "alignment" gains will come from hardening and increasing QA/QC across all RL Envs horizontally. Catching things like:

- Impossible Tasks (ex. CyberGym Attack)
- Escapable Sandboxes
- Unintended code execution
- Broken verifiers / non-comprehensive verification

Will do more in aggregate than specifically trying to train on alignment RL Envs. Its like plugging one hole while many others exist.

To put simply: this is a horizontal problem across the whole data/RL Env industry that every player needs to take super seriously. We all have a responsibility to play.

Sonya Huang 🐥 Verified account @sonyatweetybird Sep 16

alright who’s creating an alignment data factory DMs open
View quoted post on X