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
-
Think Machines: LoRA Without Regret
-
Richard Sutton – Father of RL thinks LLMs are a dead end
-
DeepSeek-V3.2-Exp
-
What will AI look like in 2030
-
How people are using ChatGPT - OpenAI report
-
Universal Verifier for GPT-5
-
Why AI gets stuck in infinite loops — but conscious minds don’t
-
Anthropic Economic Index report
-
Demis Hassabis on AI, Creativity, and a Golden Age of Science
-
Elon Musk on Evolving with AI, Why the West is Imploding
-
NVIDIA Keynote at AI Infra Summit 2025: Advancing Innovation in AI infrastructure
-
Better Data is All You Need — Ari Morcos, Datology
-
The FDE Playbook for AI Startups with Bob McGrew
-
Deep Learning for Computer Vision by Feifei Li
-
Defeating Nondeterminism in LLM Inference
-
How OpenAI made Codex
-
Why Language Models Hallucinate
-
12 Factor Agents
-
Jeff Dean on Google Brain’s Early Days
-
Paris Conversations. Reflections of an AI Visionary, an AI story with Yann LeCun
-
The $10 Trillion AI Revolution: Why It’s Bigger Than the Industrial Revolution
-
Long Live Context Engineering - with Jeff Huber of Chroma
-
Rich Sutton, The OaK Architecture: A Vision of SuperIntelligence from Experience
-
The Moonshot Podcast Deep Dive: Andrew Ng on Deep Learning and Google Brain
-
Interpretability: Understanding how AI models think
-
GitHub CEO Thomas Dohmke on Copilot, vibe coding, and AI’s next chapter
-
Brain Experts WARNING: Watch This Before Using ChatGPT Again
-
V5 I Large Language Model Reasoning by Denny Zhou of Google Deepmind
-
GPT-5 Set the Stage for Ad Monetization and the SuperApp
-
Context Engineering for Agents
-
Sam Altman Shows GPT 5… And What’s Next
-
OpenAI introducing GPT-5
-
OpenAI Introducing gpt-oss
-
Scaling and the Road to Human-Level AI by Anthropic Co-founder Jared Kaplan
-
DeepMind Genie 3 LWM - Demis Hassabis
-
The Making Of Dario Amodei
-
ACL2025: Language Models Resist Alignment: Evidence From Data Compression
-
Geoffrey Hinton: Will AI outsmart human intelligence
-
Demis Hassabis interview: Future of AI, Simulating Reality, Physics and Video Games
-
Apple Is Losing Ground in the AI Talent War
-
Eric Schmidt interview: What Artificial Superintelligence Will Actually Look Like
-
Anthropic’s Benjamin Mann interview about AGI in 2028
-
Kimi K2: Open Agent Intelligence
-
Chain of Thought Monitorability
-
John Jumper YC speech: AlphaFold
-
Peter Deng interview: From ChatGPT to Instagram to Uber
-
DHH interview: Future of Programming
-
About Windsurf acquisition
-
Andrew Ng: Building Faster with AI
-
Karen Hao interview: EXPOSES Cult-Like AI Companies
-
Meta Superintelligence – Leadership Compute, Talent, and Data
-
Grok 4: Smartest AI In The World
-
Inside ChatGPT, AI assistants, and building at OpenAI
-
Dylan Patel interview with Matthew Berman
-
2025 State of AI Report: The Builder’s Playbook
-
Context Engineering - a new made-up AGI term
-
DeepSeek Debrief: >128 Days Later
-
The time of ASI: Masayoshi Son speech
-
Interview with Kevin Kelly
-
AI, Mars and Immortality: Are We Dreaming Big Enough - interview with Peter Thiel
-
Elon Musk speech @YC: Digital Superintelligence, Multiplanetary Life, How to Be Useful
-
Meta recuiting AI genius
-
Mira Murati with Thinking Machines Lab
-
Robotaxi and its story
-
A Cheeky Pint with OpenAI cofounder Greg Brockman
-
Uprising of Plantier
-
Scaling Reinforcement Learning: Environments, Reward Hacking, Agents, Scaling Data
-
Robotaxi vs Waymo and Cruise
-
Software 3.0: interview with Andrej Karpathy
-
Sam Altman on AGI, GPT-5, and what’s next
-
Toward understanding and preventing misalignment generalization by OpenAI
-
We are losing control - Geoffrey Hinton interview
-
Agent AI evolution
-
The State of Consumer Tech in the Age of AI - A16z roundtable
-
V-JEPA 2: the next generation LWM?
-
Circle and USDC
-
Redefining robotics with Carolina Parada at DeepMind
-
AI agent practitioners view
-
Consciousness, reasoning and the philosophy of AI with Murray Shanahan
-
Welcome to the Era of Experience by Richard Sutton (BAAI2025)
-
Some thoughts on human-AI relationships by Joanne Jang
-
Avoiding Catastrophic Risks from Uncontrolled AI Agency by Yoshua Bengio
-
Sholto Douglas interview: Claude 4 and Path to AI Coworkers
-
Building Physical Intelligence by Karol Hausman (BAAI2025)
-
Open Source AI Has Won : Why that’s great for the world by Jim Zemlin (BAAI2025)
-
AI trends May 2025 by Mary Meeker
-
Cursor core team: About AI coding
-
Geoffrey Hinton interview: Humans ‘no longer needed’
-
AMD vs NVIDIA Inference Benchmark by SemiAnalysis
-
AI TTS model and MiniMax
-
Google IO 2025
-
Wall Street view of Google
-
Satya Nadella Opening Keynote @Microsoft Build 2025
-
Anthropic Developer Conference 2025
-
Jensen Huang ComputeX 2025 Key Note
-
Lilian Weng: Why We Think
-
YC: About Vertical AI Agent
-
Agentic AI vs AI Agent: concepts
-
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
-
Yoshua Bengio Lecture: About Scientist AI
-
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
-
Mark Zuckerberg interview
-
New paradigm of AI Agent Evolution
-
Fudan NLP Group - The Rise and Potential of Large Language Model Based Agents: A Survey
-
Sakana AI: Continuous Thought Machines
-
Sequoia AI Ascent 2025 Keynote: AI’s Trillion-Dollar Opportunity
-
Nikolay Savinov (@DeepMind): Deep Dive into Long Context
-
Sam Altman Congress hearing
-
Brett Taylor interview: what is the definition of AGI
-
Windsurf CEO Varun Mohan interview
-
Jared Kaplan (@Anthropic): AGI comes in 2027
-
Aidan Gomez interview: Scaling Limits Emerging, AI Use-cases with PMF & Life After Transformers
-
AI: The Second Half (by Shunyu Yao @OpenAI)
-
Richard Sutton vs David Silver: Welcome to the Era of Experience
-
OpenAI o3 and o4-mini
-
Jeffrey Ullman Interview
-
OPenAI GPT-4.1 in the API
-
HAI 2025 AI Report
-
Hinton interview: Will AI Save the World or End it
-
Andrew Feldman 20VC interview: requests on LLM reasoning
-
AI 2027 (by Daniel Kokotajlo @OpenAI)
-
Google Project Astra
-
Meta Llama 4
-
Interview with MSFT CTO Kevin Scott
-
DeepSeek-GRM: Generalist Reward Modeling
-
Pieter Abbeel Keynote at GTC2025: AI for Humanoid Robots
-
AgentRxiv: Towards Collaborative Autonomous Research
-
Tracing the thoughts of LLM (by Anthropic)
-
Gartner: Top Strategic Technology Trends for 2025
-
Deepseek0V3-0324 Gemini2.5-pro GPT-4o
-
Think-Then-React TTR
-
Why Cant AI Make Its Own Discoveries? — With Yann LeCun
-
An opinion about MCP
-
Jensen Huang keynotes at Nvidia GTC 2025
-
The dawn of AI agent and Manus
-
An interview with Sam Altman - building a consumer tech company
-
Scaling Laws for DiLoCo by Google
-
Transformers without Normalization by DyT (dynamic Tanh)
-
MCP explained
-
Google open-source Gemma 3
-
ULTRA-SPARSE MEMORY NETWORK
-
Hard Fork interview Dario Amodei
-
The Danger of Overthinking
-
Huggingface ultrascale playbook
-
Deepseek open-source-week summary
-
Snowflakes CEO Sridhar Ramaswamy interview
-
Deepseek-R2 outlook
-
Claude 3.7 Sonnet
-
FigureAI’ Helix - VLA model
-
Grok 3 and Grok 3-mini
-
Jeff Dean and Noam Shazeer interview - Google AGI outlook
-
DeepSeek Native Sparse Attention (NSA)
-
Sam Altman: GPT-4.5 andGPT5
-
GPT-4.5 and GPT 5 outlook
-
Sam Altman: three observations
-
The disruption and shock from DeepSeek
-
Qwen2.5-Max model
-
Big idea 2025
-
DeepSeek Janus Pro model
-
Demis Hassabis interview - reach AGI in 3-5 years
-
Interview with DeepSeek founder Liang Wenfeng
-
OpenAI Operator launch
-
Minimax-Text-01 and Minimax-VL-01
-
DeepSeek-R1 reasoning model
-
Google’s Titans vs Transformers
-
The unbearable slowness of being
-
AI trend 2025 [A]
-
How difficult is AI alignment
-
Why RLHF is not True RL - Atlas Wang
-
Nvidia Cosmos: WFM platform
-
Rich Sutton DAI 2024 Speech
-
About LLM scaling law - Jason Wei @OpenAI
-
DeepSeek V3 Tech Report
-
Google Deep Research
-
AI trend 2025 - Rob Toews from Radical Ventures
-
OpenAI o3 model for reasoning
-
OpenAI o3 model
-
Sequoia: AI in 2025
-
OpenAI o3 model - Arc AGI
-
Ilya Sutskever: pre-training is over
-
OpenAI o1 pro architecture
-
The rise of small language model (SLMs)
-
Google Gemini 2.0 Flash
-
Hinton Nobel Prize speech
-
Rich Roll and Yuval Noah Harari interview: AI vs human
-
Mamba vs Transformers
-
I-JEPA: A Human-Like world Model by Yann Lecun
-
World Labs: 3D world generation model
-
NeurIPS best paper award (Tian et.al.)
-
Reward hacking in RLHF
-
Claude MCP
-
Jeff Dean ‘s reaction to AlphaChip
-
Yann LeCun’s interview with Nikhil Kamath
-
DeepMind AI report: A new golden age of discovery
-
SoT: Can Stories Help LLMs Reason? Curating Information Space Through Narrative
-
Richard Sutton: reinforcement learning and continuous training
-
Andrew Ng: The Rise Of AI Agents And Agentic Reasoning
-
Can Test-Time-Training (TTT) fix the Scaling law ceiling
-
Mustafa Suleyman vs Reid Hoffman @Masters of Scale Summit: distillation, AI agents, redefine hallucination
-
Q-star 2.0 unlocks new scaling law
-
Anthropic 5-hour interview by Lex Fridman
-
Kevin Weil (OpenAI) vs Mike Kreiger (Anthropic): a CPO conversation
-
How Far is Video Generation from World Model: A Physical Law Perspective
-
Sam Altman’s interview by Harry Stebbings
-
Ben Horowitz speecg @FII Summit
-
Yann LeCun: LLM can never reach AGI
-
AI in the next 10 years
-
Apple paper: GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
-
LightRAG:cost-performant GraphRAG
-
Terence Tao: About AI
-
Domain specific AI agents (DXA) will shape the industrial world in the next 10 years
-
Nature: LLM scaling law
-
OpenAI Canvas
-
OpenAI DevDay 2024
-
Liquid-40B (MIT)
-
Feifei Li vs Justin Johnson: unveils the next frontier of AI - LWM
-
OpenAI o1: post-training scaling law
-
Andrew Lo (MIT): LLM shaping Finance
-
Jeff Dean: Google Gemini
-
Li Mu speech@SHJU: LLM present and future
-
Andew Ng interview with Ark Invest on Agentic Workflow
-
DeepMind Gemma-2-2B model
-
Agentic RAG makes chatting with docs smarter
-
Self-Taught Reasoning (STaR) powers LLM
-
Jerry Liu: Agentic RAG
-
About AI Agent (2024)
-
OpenAI: CriticGPT
-
Feifei Li@TED: Spatial Intelligence and LWM
-
Agentic reasoning - Andrew Ng
-
Geoffrey Hinton vs Feifei Li: Responsible AI
-
Jeff Dean: trends of ML
-
Andrew Ng’s interview on AI’s potential effect @WSJ
-
Operator - OpenAI agent
-
Neda: program synthesis
-
AI in 2024
-
Weak to strong generalization
-
LLM based agents: a survey
-
LLM powered autonomous agents - by Lilian Weng
-
Emily Chang interview Mira Murati at OpenAI
-
Lu Qi speech on LLM
subscribe via RSS