Explore the dynamic landscape of the AGI industry, delving into cutting-edge trends, breakthroughs in language models, and innovative technologies shaping the future. Highlight the growing applications of LLMs across diverse industries, offering readers insights into their transformative potential.
Posts
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Tracing the thoughts of LLM (by Anthropic)
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Deepseek0V3-0324 Gemini2.5-pro GPT-4o
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Think-Then-React TTR
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Why Cant AI Make Its Own Discoveries? — With Yann LeCun
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An opinion about MCP
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Jensen Huang keynotes at Nvidia GTC 2025
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An interview with Sam Altman - building a consumer tech company
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Scaling Laws for DiLoCo by Google
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Transformers without Normalization by DyT (dynamic Tanh)
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MCP explained
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Google open-source Gemma 3
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ULTRA-SPARSE MEMORY NETWORK
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Hard Fork interview Dario Amodei
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The Danger of Overthinking
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Huggingface ultrascale playbook
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Deepseek open-source-week summary
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Snowflakes CEO Sridhar Ramaswamy interview
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Deepseek-R2 outlook
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Claude 3.7 Sonnet
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FigureAI’ Helix - VLA model
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Grok 3 and Grok 3-mini
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Jeff Dean and Noam Shazeer interview - Google AGI outlook
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DeepSeek Native Sparse Attention (NSA)
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Sam Altman: GPT-4.5 andGPT5
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GPT-4.5 and GPT 5 outlook
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Sam Altman: three observations
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Qwen2.5-Max model
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Big idea 2025
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DeepSeek Janus Pro model
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Demis Hassabis interview - reach AGI in 3-5 years
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Interview with DeepSeek founder Liang Wenfeng
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OpenAI Operator launch
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Minimax-Text-01 and Minimax-VL-01
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DeepSeek-R1 reasoning model
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Google’s Titans vs Transformers
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The unbearable slowness of being
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AI trend 2025 [A]
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How difficult is AI alignment
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Why RLHF is not True RL - Atlas Wang
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Nvidia Cosmos: WFM platform
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Rich Sutton DAI 2024 Speech
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About LLM scaling law - Jason Wei @OpenAI
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DeepSeek V3 Tech Report
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Google Deep Research
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AI trend 2025 - Rob Toews from Radical Ventures
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OpenAI o3 model for reasoning
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OpenAI o3 model
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Sequoia: AI in 2025
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OpenAI o3 model - Arc AGI
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Ilya Sutskever: pre-training is over
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OpenAI o1 pro architecture
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The rise of small language model (SLMs)
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Google Gemini 2.0 Flash
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Hinton Nobel Prize speech
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Rich Roll and Yuval Noah Harari interview: AI vs human
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Mamba vs Transformers
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I-JEPA: A Human-Like world Model by Yann Lecun
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World Labs: 3D world generation model
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NeurIPS best paper award (Tian et.al.)
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Reward hacking in RLHF
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Claude MCP
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Jeff Dean ‘s reaction to AlphaChip
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Yann LeCun’s interview with Nikhil Kamath
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DeepMind AI report: A new golden age of discovery
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SoT: Can Stories Help LLMs Reason? Curating Information Space Through Narrative
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Richard Sutton: reinforcement learning and continuous training
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Andrew Ng: The Rise Of AI Agents And Agentic Reasoning
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Can Test-Time-Training (TTT) fix the Scaling law ceiling
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Mustafa Suleyman vs Reid Hoffman @Masters of Scale Summit: distillation, AI agents, redefine hallucination
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Q-star 2.0 unlocks new scaling law
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Anthropic 5-hour interview by Lex Fridman
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Kevin Weil (OpenAI) vs Mike Kreiger (Anthropic): a CPO conversation
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How Far is Video Generation from World Model: A Physical Law Perspective
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Sam Altman’s interview by Harry Stebbings
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Ben Horowitz speecg @FII Summit
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Yann LeCun: LLM can never reach AGI
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AI in the next 10 years
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Apple paper: GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
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LightRAG:cost-performant GraphRAG
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Terence Tao: About AI
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Domain specific AI agents (DXA) will shape the industrial world in the next 10 years
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Nature: LLM scaling law
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OpenAI Canvas
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OpenAI DevDay 2024
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Liquid-40B (MIT)
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Feifei Li vs Justin Johnson: unveils the next frontier of AI - LWM
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OpenAI o1: post-training scaling law
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Andrew Lo (MIT): LLM shaping Finance
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Jeff Dean: Google Gemini
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Li Mu speech@SHJU: LLM present and future
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Andew Ng interview with Ark Invest on Agentic Workflow
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DeepMind Gemma-2-2B model
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Agentic RAG makes chatting with docs smarter
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Self-Taught Reasoning (STaR) powers LLM
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Jerry Liu: Agentic RAG
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About AI Agent (2024)
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OpenAI: CriticGPT
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Feifei Li@TED: Spatial Intelligence and LWM
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Agentic reasoning - Andrew Ng
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Geoffrey Hinton vs Feifei Li: Responsible AI
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Jeff Dean: trends of ML
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Andrew Ng’s interview on AI’s potential effect @WSJ
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Operator - OpenAI agent
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Neda: program synthesis
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AI in 2024
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Weak to strong generalization
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Emily Chang interview Mira Murati at OpenAI
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Lu Qi speech on LLM
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