CFG_Labs - e/acc @0x_atom_crypto

We build the deep thinking community for Web3 and AGI Contact: https://t.co/ShOtAFV80e https://t.co/EPl9W6fjMP Global Joined March 2021

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Connor Davis @connordavis_ai

4 days ago

The most important AI paper of 2025 might have just dropped. NVIDIA lays out a framework for Small Language Model agents that could outcompete LLMs. Here’s the full breakdown (and why it matters):

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With Cursor/Lovable/Claude Code, the cost of software creation is approaching zero. I think this will fundamentally change software business models over the next decade. Software itself will be less differentiated, meaning differentiation will have to come elsewhere; in many…

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ThinkingWest @thinkingwest

3 months ago

Though Greece may have birthed Western philosophy, Rome revitalized it. Here are the 10 greatest Roman philosophers that any true fan of Rome needs to know🧵

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TuringPost @TheTuringPost

3 months ago

12 Foundational AI Model Types ▪️ LLM ▪️ SLM ▪️ VLM ▪️ MLLM ▪️ LAM ▪️ LRM ▪️ MoE ▪️ SSM ▪️ RNN ▪️ CNN ▪️ SAM ▪️ LNN Save the list and check this out for explanations and links to the useful resources: huggingface.co/posts/Kseniase…

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ℏεsam @Hesamation

4 months ago

if you want to learn RL but focused on LLMs, this is the free book to read: RLHF by @natolambert > RHLF training and fine-tuning > ml, nlp, rl background > preference data > reward modeling > policy gradient algorithms it’s an easy read, check it out.

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Unwind AI @unwind_ai_

4 months ago

5 huge AI agents, MCP, and LLM updates today: 1. China just dropped an opensource Deep Research multi-agent framework with MCP support. It connects AI Agents with specialized tools for tasks like web search, crawling, and Python code execution. 100% opensource.

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elvis @omarsar0

4 months ago

Reasoning LLMs Guide Here is my practical guide to building with Reasoning LLMs. Lots of dev tips in it. It covers: - What are Reasoning LLMs? - Top Reasoning Models - Reasoning Model Design Patterns & Use Cases - Reasoning LLM Usage Tips - Limitations with Reasoning Models

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Santiago @svpino

4 months ago

Massive release here! First, MCP. Then, A2A. Now, we have a new AI protocol. AG-UI is the Agent-User Interaction Protocol. This is a protocol for building user-facing AI agents. It's a bridge between a backend AI agent and a full-stack application. Up to this point, most…

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CFG_Labs - e/acc @0x_atom_crypto

4 months ago

MCP vs API: Simplifying AI Agent Integration with External Data youtu.be/7j1t3UZA1TY?si… 来自 @YouTube

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Antaripa Saha @doesdatmaksense

5 months ago

it's quite easy to calculate VRAM requirements for a large language model

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Niels Rogge @NielsRogge

5 months ago

You might wonder how models like @OpenAI o3 are trained The key behind them is "multi-turn reinforcement learning". It means that the model is trained to perform reasoning steps, call functions, get function call results, do more reasoning, call more functions etc. all in one go

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John J. Vastola @johnjvastola

5 months ago

Diffusion models generalize *really* well: if you give them a million pictures of cats, they'll learn to generate reasonable-looking cats no one's ever seen before. But the weird thing is that no one knows why they work! In a theory paper accepted to #ICLR2025, I dug into this.

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AK @_akhaliq

5 months ago

Google announced LLMs are Greedy Agents on Hugging Face Effects of RL Fine-tuning on Decision-Making Abilities

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Robolsmath @robolsmath

5 months ago

High school-level Math Problems with Solutions 1/21

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Dwarkesh Patel @dwarkesh_sp

5 months ago

New blog post: Questions about the future of AI A 6,000-word clusterfuck of considerations about economics, history, training, investment, and more. Thread of select questions below:

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Demis Hassabis @demishassabis

5 months ago

Had a really great chat with Scott Pelley @60Minutes about AI & its future. I’ve always believed AI could be the ultimate tool to help us advance scientific progress and better understand the universe around us, and perhaps one day even solve all disease: youtube.com/watch?v=1XF-NG…

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Akshay 🚀 @akshay_pachaar

5 months ago

Transformer vs. Mixture of Experts in LLMs, clearly explained (with visuals):

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samyr qureshi @samyr_q

5 months ago

"Make the best use of your power, and take the rest as it happens." This principle—the dichotomy of control—formed the core of his Stoic philosophy. Focus only on what you can control. Accept what you cannot. But here's where it gets powerful...

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Karl Mehta @karlmehta

5 months ago

Fascinating discoveries in AI in the last 2 weeks. Anthropic released the most insane research paper exposing how AI actually "thinks". And it shattered everything we thought we knew. Here's everything you should know (and no joke, it gets crazier the further you read): 🧵