Yuchen Shen (@alexshensyc) 's Twitter Profile
Yuchen Shen

@alexshensyc

ID: 724074111085871104

calendar_today24-04-2016 03:14:55

9 Tweet

42 Followers

232 Following

Valeriy M., PhD, MBA, CQF (@predict_addict) 's Twitter Profile Photo

BOOM 💥 The competition in LLM time series space is heating up. Lag-Llama was making rounds yesterday and some people claimed it was “the first” open source LLM. But it turns out on 6 February before Lag Llama Carnegie Mellon released their own open source LLM “Moment”.

BOOM đź’Ą The competition in LLM time series space is heating up. 

Lag-Llama was making rounds yesterday and some people claimed it was “the first” open source LLM. But it turns out on 6 February before Lag Llama Carnegie Mellon released their own open source LLM “Moment”.
Xiaorui Liu (@liu_xiaorui) 's Twitter Profile Photo

On top of that, we’re honored to have received the prestigious National AI Research Resource Pilot Award for our groundbreaking research on enhancing the robustness and trustworthiness of LLMs and foundation models. Excited for what’s next!

Aran Nayebi (@aran_nayebi) 's Twitter Profile Photo

Are there fundamental barriers to AI alignment once we develop generally-capable AI agents? We mathematically prove the answer is *yes*, and outline key properties for a "safe yet capable" agent. 🧵👇 Paper: arxiv.org/abs/2502.05934

Are there fundamental barriers to AI alignment once we develop generally-capable AI agents?

We mathematically prove the answer is *yes*, and outline key properties for a "safe yet capable" agent. 🧵👇

Paper: arxiv.org/abs/2502.05934
Chenhao Zhang (@chenhaoz99) 's Twitter Profile Photo

🤔 How can we infuse chemistry into diffusion models by replacing neural nets with a non-backpropable quantum-chemistry oracle? 🎉 “ChemGuide” #ICLR2025 🧪 Chemistry-Inspired Diffusion + zeroth-order optimization for stable 3D molecules & jointly optimized properties. #AI4Science

🤔 How can we infuse chemistry into diffusion models by replacing neural nets with a non-backpropable quantum-chemistry oracle?
🎉 “ChemGuide” #ICLR2025
đź§Ş Chemistry-Inspired Diffusion + zeroth-order optimization for stable 3D molecules & jointly optimized properties.
#AI4Science
Trinity Chung (@milotrince) 's Twitter Profile Photo

1/ What if we make robots that process touch the way our brains do? We found that Convolutional Recurrent Neural Networks (ConvRNNs) pass the NeuroAI Turing Test in currently available mouse somatosensory cortex data. New paper by Yuchen Shen Nathan Kong Aran Nayebi and me!

1/ What if we make robots that process touch the way our brains do?
We found that Convolutional Recurrent Neural Networks (ConvRNNs) pass the NeuroAI Turing Test in currently available mouse somatosensory cortex data.
New paper by <a href="/AlexShenSyc/">Yuchen Shen</a> <a href="/NathanKong/">Nathan Kong</a> <a href="/aran_nayebi/">Aran Nayebi</a> and me!
Reece Keller (@rdkeller) 's Twitter Profile Photo

1/ I'm excited to share recent results from my first collaboration with the amazing Aran Nayebi and Leo Kozachkov! We show how autonomous behavior and whole-brain dynamics emerge in embodied agents with intrinsic motivation driven by world models.

Aran Nayebi (@aran_nayebi) 's Twitter Profile Photo

🚀 New Open-Source Release! PyTorchTNN 🚀 A PyTorch package for building biologically-plausible temporal neural networks (TNNs)—unrolling neural network computation layer-by-layer through time, inspired by cortical processing. PyTorchTNN naturally integrates into the

Yueqi Song (@yueqi_song) 's Twitter Profile Photo

We just built and released the largest dataset for supervised fine-tuning of agentic LMs, 1.27M trajectories (~36B tokens)! Up until now, large-scale SFT for agents is rare - not for lack of data, but because of fragmentation across heterogeneous formats, tools, and interfaces.