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Introducing the Gemini 2.5 Computer Use model
Breadcrumb Innovation & AI Models & research Google DeepMind Introducing the Gemini 2.5 Computer Use model…
Introducing Veo 3.1 and advanced creative capabilities
Breadcrumb Innovation & AI Products Introducing Veo 3.1 and advanced capabilities in Flow Oct 15, 2025 ·…
Skin Detailer: Realistic skins for AI influencers
AI image generators such as Flux and SDXL generate good virtual AI influencers, but their skins can look…
An Opinionated Guide to Using AI Right Now
Every few months I write an opinionated guide to how to use AI1, but now I write it in a world where about…
🪩 The State of AI Report 2025 🪩
Hi everyone!The day is finally here: I’m thrilled to share the State of AI Report 2025 with you!In short,…
AdalFlow: A PyTorch-Like Framework to Auto-Optimizing Prompt for your LLM agent
AI Agent frameworks are becoming just as important as model training itself! I am excited to introduce you to…
Last Week to Register: Build Production-Ready Agentic-RAG Applications From Scratch Course!
This is the last week to register for the Build Production-Ready Agentic-RAG Applications From Scratch…
xAI’s Colossus 2 – First Gigawatt Datacenter In The World, Unique RL Methodology, Capital Raise
Much has been written about xAI’s Colossus 1. The Memphis build belongs in the history books: the largest…
LinkedIn Highlights, August 2025 - AI Coding Edition
Welcome to LinkedIn Highlights!Each month, I'll share my top-performing LinkedIn posts, bringing you the best…
Another Giant Leap: The Rubin CPX Specialized Accelerator & Rack
Nvidia announced the Rubin CPX, a solution that is specifically designed to be optimized for the prefill…
Huawei Ascend Production Ramp: Die Banks, TSMC Continued Production, HBM is The Bottleneck
Compute is the lifeblood of AI. He who controls the spice controls the universe the compute will control the…
The Rise of Cloud Coding Agents
Welcome to another post in the AI Coding Series, where I'll share the strategies and insights I've developed…
Amazon’s AI Resurgence: AWS & Anthropic’s Multi-Gigawatt Trainium Expansion
Two-and-a-half years ago, we flagged a looming “cloud crisis” at AWS. Today, the evidence has mounted.…
Build Production-Ready Agentic-RAG Applications From Scratch Course: What we are going to build
On Saturday, September 27th, I am launching a new course: Build Production-Ready Agentic-RAG Applications…
Mass Intelligence
More than a billion people use AI chatbots regularly. ChatGPT has over 700 million weekly users. Gemini and…
H100 vs GB200 NVL72 Training Benchmarks – Power, TCO, and Reliability Analysis, Software Improvement Over Time
Frontier model training has pushed GPUs and AI systems to their absolute limits, making cost, efficiency,…
Which Agent Causes Task Failures and When?Researchers from PSU and Duke explores automated failure attribution of LLM Multi-Agent Systems
Share My Research is Synced’s column that welcomes scholars to share their own research breakthroughs with…
GPT-5 Set the Stage for Ad Monetization and the SuperApp
To many power users (Pro and Plus), GPT5 was a disappointing release. But with closer inspection, the real…
Scaling the Memory Wall: The Rise and Roadmap of HBM
The first portion of this report will explain HBM, the manufacturing process, dynamics between vendors,…
From GPT-2 to gpt-oss: Analyzing the Architectural Advances
OpenAI just released their new open-weight LLMs this week: gpt-oss-120b and gpt-oss-20b, their first…
GPT-5: It Just Does Stuff
I have had early access to GPT-51, and I wanted to give you some impressions of what it is and what it means.…
State of AI: August 2025 newsletter
Welcome to the latest issue of the State of AI newsletter, an editorialized newsletter covering the key…
The Bitter Lesson versus The Garbage Can
One of my favorite academic papers about organizations is by Ruthanne Huising, and it tells the story of…
Could AI slow science?
AI leaders have predicted that it will enable dramatic scientific progress: curing cancer, doubling the human…