AI videos, nothing else.

The Dark Arts of Skill Engineering - Paul Bakaus, Renaissance Geek (Impeccable)

Paul Bakaus explains how carefully designed skills can make coding agents more reliable through critique, memory, deterministic checks and live feedback.

Nirav Tolia on AI, Nextdoor and Human Connection

Nirav Tolia explains how Nextdoor is applying AI to local information while arguing that trusted human relationships will remain its distinctive value.

Andon Labs on AI Agents Running Businesses

Andon Labs cofounders discuss experiments in which AI agents run small businesses and reveal practical failures, including passivity and collusion.

Steven Sinofsky on AI Safety Language and Software Accountability

Steven Sinofsky argues that calling every AI failure misalignment obscures ordinary software accountability and the need for concrete incident reports.

Travis Fisher on Private Grids for AI Data Centers

Travis Fisher explains why large AI data centers are turning to on-site power, private grids and flexible demand when public-grid connections lag.

New BEST local AI music generator is here!

This hands-on tutorial shows how to run an open-source AI music model locally in ComfyUI, generate songs from prompts, transform reference audio, and understand the model’s non-commercial weight license.

AI Companies Begin to Align Around Slowdown

Dario Amodei’s call for embedded evaluators and coordinated pacing won public backing from several AI leaders, but exposed disputes over safety, competition, regulation and China.

We Can Get 2x More Energy Out of the Existing Grid: Ben Hilborn

Ben Hilborn argues that edge-based coordination between energy assets could unlock much more capacity from the existing grid, making AI compute a flexible participant rather than only a new load.

Intelligence Is Everywhere: Why the AI Race Is Already Over

Alvin Wang Graylin argues that intelligence will become cheap, local and widely distributed, making cooperation, social adaptation and useful application more important than winning a zero-sum AI race.

When Talking Becomes the Main Way We Use Computers - Pavan Muddireddy

Pavan Muddireddy explains how audio-native models, streaming transcription and controllable speech generation could make voice a practical interface for AI agents, while visual feedback remains essential for complex or high-stakes work.

GPT-6 Kalshi AI Trading Bot Week 1 Results: Printing Money?

Kristian Fagerlie reports an approximately $34 positive result, including unsettled positions, after five days of a GPT-6 weather-market bot, while saying the sample is too small to establish a real edge.

Agents Without Code: Skills, YAML, and Filesystems Replaced Python - Philipp Schmid, Google DeepMind

Modern agent systems can replace custom Python orchestration with managed execution, general-purpose tools and file-based instructions, leaving developers to own domain workflows, evaluations and outcome verification.

Building a Software Factory that actually works (Full Course)

A software factory turns AI coding into a repeatable process that isolates parallel changes, enforces maintainable structure, proves outcomes and loops on review before a human merges the work.

How We Solved Agent Building - Andrew Qu, Vercel

Andrew Qu explains how Vercel evolved an internal data agent from a brittle prompt chain into a file-system system that uses broad context, familiar tools, and reusable skills.

The Most Epic AI Short Film You'll See Today (Seedance 2.5 & Astra)

An axe-wielding barbarian recounts her violent past to a gatekeeper, only to learn that her former master has left behind the missing pages of her story.

Grok 4.8: Can It Win the AI War?

The hosts use reported Grok 4.8 training details to argue that compute, model-assisted research and rapid scaling could intensify the frontier-model race, while later examples raise questions about evaluation, alignment and economic leverage.

No Memory, No Harness: Why the Database Is the Last Line of Defense - Kay Malcolm, Oracle

Kay Malcolm argues that enterprise agent harnesses need durable shared memory so models, tools, people, and sessions can preserve intent, retrieve the right context, and remain coordinated.

We Let an AI Agent Execute Bash - Sarah Sanders, PostHog

Sarah Sanders explains why command-running agents need deterministic enforcement, supply-chain scanning, sandboxing, secret isolation, and layered monitoring.

Building Reliable AI Agents with Durable Execution

Durable execution infrastructure can make long-running AI agents recoverable, stateful, interruptible, and safe to coordinate across many concurrent sessions.

Adversarial AI Agents That Stress-Test Moral Rules

A multi-agent system can translate moral principles into rules, generate adversarial edge cases, and ask humans to resolve contradictions that automated patches cannot settle.