Liam Li

Research @Pokee_AI | PhD from @mldcmu | prev @DeterminedAI | ML expert specializing in large scale model development, AutoML, and MLOps.

[Liam Li @liamcli]

At NeurIPS in SD! We're working on scaling agents for automation at Pokee AI

Love to chat about
- RL post training
- agent systems
- long horizon planning and retrieval

DM to connect!

#NuerIPS2025 #NeurIPS

[Zheqing (Bill) Zhu @ZheqingZhu]

🔥 NEW SOTA OPEN-SOURCE MODEL

Today’s a big one for us at @Pokee_AI .
We’re releasing PokeeResearch-7B, a new state-of-the-art deep-research agent that outperforms every other 7B model in its class.

It’s fully open-source — weights + inference code are now live on @huggingface, and built end-to-end using @vllm_project , @sgl_project , and @verl_project.

Benchmarks, tools, pipelines — everything’s public. 👇

[Pokee AI @Pokee_AI]

Open. Source. SOTA. Deep. Research. 🚀

Today, we’re releasing PokeeResearch-7B, a SOTA open-source deep research agent that outperforms all other 7B deep research agents. And, we are open-sourcing both the weights and inference code on @huggingface!

We're additionally excited to have partnered with vLLM @vllm_project, SGLang @sgl_project, and verl @verl_project on training and inference pipelines.

We can’t wait to see what you all build with PokeeResearch!

🤗• Hugging Face Model: https://t.co/pFegN55uJ4
🌐• Webpage: https://t.co/17n9Nw8p8F
📋• ArXiv: https://t.co/zTrpC0srGO
🔗• Github Repo: https://t.co/FevODN9oXY

[Zheqing (Bill) Zhu @ZheqingZhu]

@Pokee_AI is now live with Nano Banana at https://t.co/Do4SAilTYx !

Unparallel consistency in image editing with Pokee's prompt optimization and the fastest AI Agent in social media marketing across the internet!

Publish to any platforms (@instagram, @YouTube , @tiktok_us , @LinkedIn , @X , @facebook , @Pinterest , @Reddit ), completely automatically, with unparalleled quality content, through Pokee AI. Now you never have to hire a big marketing team, it might just be a 1-person job. Maybe even 0-person?

Try it out at https://t.co/Do4SAilTYx today!

#NanoBanana

[Pokee AI @Pokee_AI]

GPT-5 is here—and Pokee AI is already integrated!
We’ve already built it into Pokee AI to give you next-level performance right now.
But Pokee AI is way more beyond GPT-5!

At Pokee AI, we’ve built a full-scale productivity engine—not just with GPT‑5, but by intelligently orchestrating the entire AI model suite to automate tasks, optimize workflows, and deliver results directly across your favorite platforms:
- Built-in integrations for your favorite tools: we deliver the results directly to your accounts in Google workspace, social media platforms(X, LinkedIn, Instagram, Youtube, Ticktok etc ), Notion, JIra etc.

- Custom Workflows & Automation: based on your prompts, Pokee auto breakdown your task into steps and pick the best model for each step.

- Reinforcement Learning–Powered Intelligence: Unlike LLM-only systems like GPT‑5, Pokee uses proprietary reinforcement learning to select tools and complete tasks—solving the execution problem, not just suggesting actions.
🔗 Learn more and try it today: https://t.co/fNOqcQ0jaL
#ChatGPT #GPT5 #AiAgent #AGI

[Zheqing (Bill) Zhu @ZheqingZhu]

🚀 Big news! Pokee AI just raised a $12M seed round—3x oversubscribed!

Our mission: Automate every human workflow on the internet with frictionless AI agents.

Public beta now live 👉 https://t.co/vw2SpnfFWz

Here's what we're building and who's backing us 🧵👇

[Misha Khodak @khodakmoments]

🧵 on surprising revelations from our study of specialized foundation models (FMs beyond vision/text): after evaluating dozens of scientific & time series FMs we found that most weren’t even competitive with simple supervised models, some with as little as 513 parameters.
1/n

[Arena.ai @arena]

Introducing Copilot Arena - Interactive coding evaluation in the wild.

Our extension lets you test top models for free, right in VSCode. Let's vote and build the Copilot leaderboard!

Download here:
https://t.co/Zyc9iL3u9m

Led by @iamwaynechi and @valeriechen_ at CMU. 1/🧵

[Junhong Shen @JunhongShen1]

Introducing Unified PDE Solvers (UPS), a step towards efficiently building foundation models for PDE solvers (https://t.co/Akkbf4aZV9)! Starting from a pretrained LM, UPS tackles diverse spatiotemporal PDEs with SOTA accuracy, using ~20x less data and a single A6000! 🧵[1/x]

[Liam Li @liamcli]

@danielhanchen Thanks for the super interesting deep dive!

[Liam Li @liamcli]

@peterrhague Although a core fantasy writer, Brandon Sanderson also has a good young adult sci-fi series called Skyward that’s a really good read.

[Liam Li @liamcli]

@boazbaraktcs I really enjoyed your blog post! This paper provides some empirical validation for your intuition in a two stage image task: https://t.co/9w84wDBfFU

[Liam Li @liamcli]

One of the clearest explanations I’ve seen of kv cache, continuous batching, paged attention, and mqa.

[thebes @voooooogel]

New blog post: how to make LLMs go fast! Want to understand how people are making LLMs go brrrrr? This post is a survey of lots of different LLM inference optimizations, ranging from "everyone uses this in prod" to "I cooked this up last week (but it seems to work)"

[thebes @voooooogel]

New blog post: how to make LLMs go fast! Want to understand how people are making LLMs go brrrrr? This post is a survey of lots of different LLM inference optimizations, ranging from "everyone uses this in prod" to "I cooked this up last week (but it seems to work)"

[Tianqi Chen @tqchenml]

Chat with Mistral 7B Instruct v0.2 running locally in iphone and ipad. Now available in @AppStore. https://t.co/w6kzIv1Rpy

[Liam Li @liamcli]

@ChenLingjiao I wasn’t able to dm you but would like to chat in person at Neurips!

[Yohei @yoheinakajima]

phew, did our annual @untappedvc LP summit yesterday!

thought it'd be fun to share a few of our slides (w candid/cheeky commentary).

👇

[Yann LeCun @ylecun]

The EU AI Act negotiations ended.
One contentious issue was the regulation of foundation models, particularly open source ones.

Kudos to the French, German, and Italian governments for not giving up on open source models.

Juicy part:
"The legislation ultimately included restrictions for foundation models but gave broad exemptions to “open-source models,” which are developed using code that’s freely available for developers to alter for their own products and tools. The move could benefit open-source AI companies in Europe that lobbied against the law, including France’s Mistral and Germany’s Aleph Alpha, as well as Meta, which released the open-source model LLaMA."

https://t.co/6N3azO8yzx

[Sasha Rush @srush_nlp]

I'm moderating a plenary panel at #NeurIPS2023 entitled "LLMs: Beyond Scaling" with some amazing researchers.

Please send or upvote any interesting questions:
https://t.co/KSHeBYPrBv

[Liam Li @liamcli]

@litian0331 @UChicago @UChicagoCS @DSI_UChicago Congrats Tian!