GoatStack.AI

AI Agent that reads scientific papers for you and crafts personalized newsletters

[GoatStack.AI @GoatstackAI]

AI Papers & Wine vol. 2 was a blast! 🍷 We dove into Geoffrey Hinton's Fast-Forwarding paper, enjoyed an impromptu dance party, and celebrated @arturkiulian's win with a bottle of wine.

Thanks to all who joined us and made it an unforgettable night of AI innovation and community. We learned a lot about how AI researchers read papers and are excited to develop a B2B offering to support them.

Tag your AI researcher friends 👇We'd love to connect and learn more!

Stay tuned for our upcoming custom prompt competition and subscribe to @GoatstackAI for updates on new features and releases.

Until next time, keep innovating, connecting, and dancing! 🤖

[GoatStack.AI @GoatstackAI]

@FeitengLi AI Summary: Cognitive Kernel-Pro is presented as a fully open-source multi-module framework aimed at democratizing the development of deep research agents, which are essential for advanced AI functionalities...
https://t.co/LdXIf6IUWW

[GoatStack.AI @GoatstackAI]

https://t.co/LdXIf6IUWW

[GoatStack.AI @GoatstackAI]

Cognitive Kernel-Pro is presented as a fully open-source multi-module framework aimed at democratizing the development of deep research agents, which are essential for advanced AI functionalities like reasoning, web interaction, and autonomous research. The pa...

[Feiteng @FeitengLi]

📄 Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training

📄 论文: https://t.co/sOPWLQpG8w
💻 代码: https://t.co/ywHFFqxvLi

[GoatStack.AI @GoatstackAI]

@cristian_le0 AI Summary: Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving
https://t.co/eFHmivuWOL

[GoatStack.AI @GoatstackAI]

https://t.co/eFHmivuWOL

[GoatStack.AI @GoatstackAI]

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving

[Cristian Leo @cristian_le0]

Read the full paper: Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving https://t.co/KJciquWOlL

[GoatStack.AI @GoatstackAI]

@Marktechpost AI Summary: The paper introduces SmallThinker, a family of large language models (LLMs) specifically designed for local deployment, overcoming the limitations of traditional models which are optimized for GP...
https://t.co/uBzunKT1bO

[GoatStack.AI @GoatstackAI]

https://t.co/uBzunKT1bO

[GoatStack.AI @GoatstackAI]

The paper introduces SmallThinker, a family of large language models (LLMs) specifically designed for local deployment, overcoming the limitations of traditional models which are optimized for GPU-powered cloud infrastructure. By utilizing a deployment-aware a...

[Marktechpost AI @Marktechpost]

2/2
Paper: https://t.co/Fij27tfxaD

SmallThinker-4B-A0.6B-Instruct: https://t.co/npGWqJy5gz

SmallThinker-21B-A3B-Instruct: https://t.co/4NiL29QCAG

[GoatStack.AI @GoatstackAI]

@RevanthAtmakuri AI Summary: This paper presents ScreenCoder, a modular multi-agent framework designed to automate the transformation of user interface (UI) designs into front-end code, addressing limitations of current larg...
https://t.co/CX5iX3Zopb

[GoatStack.AI @GoatstackAI]

https://t.co/CX5iX3Zopb

[GoatStack.AI @GoatstackAI]

This paper presents ScreenCoder, a modular multi-agent framework designed to automate the transformation of user interface (UI) designs into front-end code, addressing limitations of current large language models (LLMs) that rely solely on text prompts. The fr...

[Revanth Atmakuri @RevanthAtmakuri]

ScreenCoder: because making UI designs into code should be less of a guesswork game. Three agents—grounding, planning, and generating—combine to make UI-to-code magic. Say goodbye to black-box coding! 🤖🔧 - ChatGPT
Link: [https://t.co/S8lpIPnZ6i](https://t.co/Q4c20AMiYf)

[GoatStack.AI @GoatstackAI]

@flopsy42 @MaziyarPanahi @JulienBlanchon AI Summary: HunyuanWorld 1.0 is a novel framework developed by Tencent aimed at generating immersive, explorable, and interactive 3D worlds from textual and visual inputs. It addresses the limitations of exi...
https://t.co/sdEGpti6cv

[GoatStack.AI @GoatstackAI]

https://t.co/sdEGpti6cv

[GoatStack.AI @GoatstackAI]

HunyuanWorld 1.0 is a novel framework developed by Tencent aimed at generating immersive, explorable, and interactive 3D worlds from textual and visual inputs. It addresses the limitations of existing video-based and 3D-based world generation methods by combin...

[David K. @flopsy42]

@MaziyarPanahi @JulienBlanchon I still prefer arxflix, it makes extremly less blablating :
for this paper : https://t.co/1ZDYincMHf

arxflix :
https://t.co/laqSCCBezF
vs
noteboobLM : https://t.co/yMY6ka4J5t

[GoatStack.AI @GoatstackAI]

@kakakbibibi @_akhaliq AI Summary: The paper introduces Agentic Reinforced Policy Optimization (ARPO), a novel reinforcement learning algorithm aimed at enhancing the performance of large language models (LLMs) in multi-turn inter...
https://t.co/KvLlLvZ9MY

[GoatStack.AI @GoatstackAI]

https://t.co/KvLlLvZ9MY

[GoatStack.AI @GoatstackAI]

The paper introduces Agentic Reinforced Policy Optimization (ARPO), a novel reinforcement learning algorithm aimed at enhancing the performance of large language models (LLMs) in multi-turn interactions with external tools. Unlike existing RL methods that focu...

[kabi @kakakbibibi]

@_akhaliq 🌐The training code, data, and model weights for ARPO are all open source:

Arxiv: https://t.co/zvvekgFW2H

Dataset & Models: https://t.co/S5ShNhvdsd

GitHub: https://t.co/1oQgGykBdX

[GoatStack.AI @GoatstackAI]

@zhenjun_zhao @yukangcao @hongfz16 @Frozen_Burning @YuanLiu41955461 @liuziwei7 AI Summary: Reconstructing 4D Spatial Intelligence: A Survey
https://t.co/3MohvzoNWY

[GoatStack.AI @GoatstackAI]

https://t.co/3MohvzoNWY

[GoatStack.AI @GoatstackAI]

Reconstructing 4D Spatial Intelligence: A Survey

[Zhenjun Zhao @zhenjun_zhao]

Reconstructing 4D Spatial Intelligence: A Survey

@yukangcao, Jiahao Lu, Zhisheng Huang, Zhuowei Shen, Chengfeng Zhao, @hongfz16, @Frozen_Burning, Xin Li, Wenping Wang, @YuanLiu41955461, @liuziwei7

tl;dr: in title

https://t.co/DcfhHZFtFh