10 unique angles to UConn's 2026 Elite Eight last-second winner YouTube video by March Madness

UConn 🏀🏀 Duke
🎥 every angle

youtu.be/tK9VQVjDFkA?...

UConn 🏀🏀 what a win and what a finish

“A poll of global travellers by Future Partners, a market-research firm, found the share who don’t feel welcome there has more than doubled in a year; outright refusal to visit America has almost tripled”

#SanFrancisco #NoKings #NoKing

Cool AI Agent Demo → Production Disaster (Here's Why) Lear More 👉 https://gradientflow.substack.com/p/are-your-ai-agents-confusing-activity #ai #technology #tech #techtok TikTok video by Gradient Flow

www.tiktok.com/@gradientflo...

Ethics.dev Tracking AI’s Impact on Society

⏰ Navigating the intersection of AI, ethics, law, and economics
ethics.dev

Coding Agents Meet Data Science Mikio Braun on Vibe Coding, Data Science Agents, Code Review Bottlenecks, and Building Side Projects with AI.

The future of data science may look a lot like research mathematics today: not fully autonomous AI, but a human expert in the loop → exploring far more ideas, testing more datasets, and building more models than ever before.
thedataexchange.media/mikio-braun-...

Why smarter agent architecture does not always improve results Put data, machine learning, and AI to work.

❝ The standard practice in machine learning has long been to test each new component before adding it: does this actually improve results, and where does it now fail? The same logic applies to agent systems.
gradientflow.substack.com/p/are-your-a...

Coding Agents Meet Data Science Mikio Braun on Vibe Coding, Data Science Agents, Code Review Bottlenecks, and Building Side Projects with AI.

AI coding agents are transforming software development—but what happens when you point them at messy, unvetted data? Mikio Braun explains what a true AI data science agent would actually need. 🎙️ #AIAgents #DataScience #MachineLearning
thedataexchange.media/mikio-braun-...

unusual_whales on X: "Margaret Ryan, a U.S. Securities and Exchange Commission’s enforcement director, resigned effective last week after clashing with agency leadership over the direction of investigations, specifically those involving Donald Trump and his family, per YF" / X Margaret Ryan, a U.S. Securities and Exchange Commission’s enforcement director, resigned effective last week after clashing with agency leadership over the direction of investigations, specifically those involving Donald Trump and his family, per YF

👀

x.com/unusual_whal...

The new nuclear arms race: Faster weapons, fewer rules YouTube video by CNN

This is terrifying, we need new arms agreements ‼️

youtu.be/UjE7jLcMvXI?...

Cool AI Agent Demo → Production Disaster (Here's Why) #agent #ai YouTube video by Gradient Flow

www.youtube.com/shorts/mT2-1...

Why smarter agent architecture does not always improve results Put data, machine learning, and AI to work.

Building AI agents is an engineering discipline. Every new component, a prompt change, a new agent, a context file, should be tested, not assumed to help.
gradientflow.substack.com/p/are-your-a...

Major upgrades to Ray Serve: Online Inference with 88% lower latency and 11.1x higher throughput | Anyscale Ray Serve upgrades deliver faster online inference with HAProxy and gRPC, enabling scalable LLM inference on Ray with lower latency and higher throughput.

Scaling AI applications just got more efficient. The latest Ray Serve updates introduce HAProxy ingress and direct gRPC communication to drastically cut latency and boost throughput for production workloads.
www.anyscale.com/blog/ray-ser...

Cool AI Agent Demo → Production Disaster (Here's Why) #agent #ai YouTube video by Gradient Flow

www.youtube.com/shorts/mT2-1...

Why smarter agent architecture does not always improve results Put data, machine learning, and AI to work.

Building AI agents is an engineering discipline rather than an art form. You get exactly what you measure. Test every new component before making it a default.
👉 gradientflow.substack.com/p/are-your-a...

Cool AI Agent Demo → Production Disaster (Here's Why) #agent #ai YouTube video by Gradient Flow

www.youtube.com/shorts/mT2-1...

Why smarter agent architecture does not always improve results Put data, machine learning, and AI to work.

Building AI agents is an engineering discipline. Every new component — a prompt change, a new agent, a context file — should be tested, not assumed to help.
👉 gradientflow.substack.com/p/are-your-a...

How Russia, China & others use AI to enhance foreign influence campaigns YouTube video by CNN

🚨🚨🚨 Foreign state actors are leveraging #AI to make influence campaigns more scalable, more persuasive, and far harder to attribute or detect
👉 AI agents can autonomously execute building personas, amplifying content, targeting communities, and evading detection
www.youtube.com/watch?v=7TVI...

NVIDIA's Next Moves: A Practitioner's Guide to GTC 2026 - Gradient Flow NVIDIA’s GTC 2026 conference, held March 16–19 in San Jose, delivered a sweeping set of announcements. The throughline across hardware, software, models, and partnerships is clear: NVIDIA is engineeri...

✨ GTC 2026 Decoded 🆕 A Structured Guide to Nvidia's GTC 2026 Announcements
gradientflow.com/nvidia-gtc-2...

Ethics.dev Tracking AI’s Impact on Society

✅ Policy and ethics at the speed of #AI
👉 Tracking the intersection of code, culture, and consequence
ethics.dev

World Models Are Here—But It’s Still the GPT-2 Phase Jeff Hawke on Continuous Simulation, Interactive Control, Scaling Challenges, and Future Applications.

What exactly is the difference between a world model, a spatial intelligence model, & a generative video model? Jeff Hawke draws a clear line: world models predict how the world evolves, spatial intelligence models learn how the world appears
thedataexchange.media/jeff-hawke-o...

Is Your Desk Job Safe from AI Agents? YouTube video by Gradient Flow

www.youtube.com/shorts/jllro...

World Models Are Here—But It’s Still the GPT-2 Phase Jeff Hawke on Continuous Simulation, Interactive Control, Scaling Challenges, and Future Applications.

🆕 World Models Explained
🤖 We're officially in the "GPT-2 era" of world models ... and that's a very exciting place to be. Jeff Hawke, CTO at Odyssey, on how world models differ from video generators, and why robotics and gaming are the killer early applications
thedataexchange.media/jeff-hawke-o...

Inside Richard Murphy’s Unusual Home in Edinburgh YouTube video by NOSTALGIA

Living inside a Rubik’s Cube
🧩 youtu.be/3UJf19jYM4M?...

Is Your Desk Job Safe from AI Agents? YouTube video by Gradient Flow

youtube.com/shorts/jllro...

When AI does the junior work, how do we train seniors? Put data, machine learning, and AI to work.

Beyond Coding: How AI Agents Are Moving Into Accounting and Legal
→ gradientflow.substack.com/p/execution-...

Is Your Desk Job Safe from AI Agents? YouTube video by Gradient Flow

youtube.com/shorts/jllro...

When AI does the junior work, how do we train seniors? Put data, machine learning, and AI to work.

Coding is not the end state for AI agents. It is the test case. Accounting and contracts are already following the same playbook — explicit rules, structured data, templated workflows.
gradientflow.substack.com/p/execution-...

UK security adviser attended US-Iran talks and judged deal was within reach Exclusive: Jonathan Powell thought Tehran’s ‘surprising’ offer on its nuclear programme could prevent rush to war, sources say

“The UK saw no compelling evidence of an imminent threat of an Iranian missile attack on Europe, or of Iran securing a nuclear weapon. This is the first time it has become clear that Britain was so closely involved in the talks”

www.theguardian.com/world/2026/m...