Videos
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Thinner Agents on a Smarter Substrate: The Ontology-based Semantic Layer — Emil Eifrem, Neo4j
Emil Eifrem proposes an ontology-based semantic layer as a smarter shared substrate for thin agents, solving data... |
AI Engineer | summarized | 2026-07-22 17:00 |
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Claude for Long-Horizon Tasks — Lance Martin, Anthropic
Anthropic's Lance Martin presents a vision for asynchronous agents that can operate over long time horizons, enabled... |
AI Engineer | summarized | 2026-07-22 17:00 |
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17 Tricks To Build 10x Faster with Claude
Austin Marchese presents 17 tricks to accelerate building with Claude, organized into three levels: foundational... |
Austin Marchese | summarized | 2026-07-21 23:30 |
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Every Harness Will Become A Claw — Sam Bhagwat, Mastra
Every harness will expand until it becomes a claw, meaning that agent frameworks will inevitably evolve to include... |
AI Engineer | summarized | 2026-07-21 21:30 |
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Gemini 3.6 Flash Is HERE – Testing Google’s BEST Model Yet!
Google's Gemini 3.6 Flash is a new model that offers significant speed improvements, a 17% reduction in token usage,... |
Bijan Bowen | summarized | 2026-07-21 21:06 |
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HTML Is All Agents Need — James Russo, HeyGen
HyperFrame is HeyGen's open-source framework that lets LLM agents generate videos by writing HTML, CSS, and... |
AI Engineer | summarized | 2026-07-21 18:54 |
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2026 State of AI Engineering — Barr Yaron, Amplify Partners
The 2026 State of AI Engineering survey reveals that AI engineering is becoming a discipline with widespread... |
AI Engineer | summarized | 2026-07-21 16:11 |
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5 INSANE ChatGPT Work Use Cases (endless possibilities)
ChatGPT Work is OpenAI's version of Claude Co-Work, a powerful tool for non-technical users to automate tasks like... |
Brock Mesarich | AI for Non Techies | summarized | 2026-07-21 14:44 |
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AMD Ryzen AI Halo - 100% Local AI
AMD's Ryzen AI Halo workstation with 128 GB of unified memory allows running large open-weight models like GPT OSS... |
Sam Witteveen | summarized | 2026-07-21 13:00 |
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Through the AI Fog: The Architectural Decision Agentic Security Depends On — Manoj Nair, Snyk
Manoj Nair from Snyk argues that the fundamental architectural decision for agentic security is separating the... |
AI Engineer | summarized | 2026-07-20 17:17 |
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Why Your AI Offer Isn't Selling, and How to Fix That
Selling AI services requires storytelling about transformation, not the technology itself. Leaders must become... |
Nate Herk | summarized | 2026-07-20 13:50 |
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Don't Let the LLM Drive - Ornella Bahidika & Joel Allou, Microsoft
Reliability in multi-step AI agents is a control problem, not a prompting problem. Microsoft's ACE voice tutor uses... |
AI Engineer | summarized | 2026-07-20 06:25 |
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AI Race: Chinese open models just got real..
Chinese open models like Kimiko 3 and Qwen 3.8 Max are closing the gap with closed frontier models, threatening the... |
Caleb Writes Code | summarized | 2026-07-20 05:16 |
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You Didn't Ship a Bug. You Just Wrote It for a Human. - Ravi Madabhushi, Scalekit
Current authentication and authorization architectures designed for humans and deterministic APIs fail for... |
AI Engineer | summarized | 2026-07-19 16:00 |
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The UX of AI: Making AI-Powered Apps Your Users Don't Hate - Kathryn Grayson Nanz, Progress Software
AI-powered applications face a serious UX problem due to a wide knowledge gap between developers and users. To build... |
AI Engineer | summarized | 2026-07-18 20:30 |
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Paste This Into Claude, Never Hit a Token Limit Again
Claude's token limits can be avoided by optimizing token consumption and model usage without increasing cost. The... |
Austin Marchese | summarized | 2026-07-18 13:45 |
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Using LLMs to Secure Source Code — Eugene Yan, Anthropic
Frontier LLMs like Claude can dramatically accelerate security vulnerability discovery and patching, with Mozilla... |
AI Engineer | summarized | 2026-07-17 21:27 |
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The Great Loops Debate — Dex Horthy, Geoff Huntley, Ian Livingstone, Greg Pstrucha, @insecure-agents
The Great Loops Debate at AI Engineer pits team Ian/Jeff (pro-loops, no delta) against team Dex/Greg (loops hype... |
AI Engineer | summarized | 2026-07-17 21:00 |
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An AI Agent Became the #1 Contributor in OpenAI's Hiring Challenge — Zhengyao Jiang, Weco
An AI agent called Aiden, built by Weco, became the top contributor in OpenAI's Parameter Golf hiring challenge,... |
AI Engineer | summarized | 2026-07-16 18:08 |
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🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
Lila Sciences is building AI science factories that treat the physical lab as a verifier for reinforcement learning,... |
Latent Space | summarized | 2026-07-16 13:30 |
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Fable 5 + Hermes Agent = New Meta
Combining Fable 5 with Hermes Agent enables powerful, cost-effective AI workflows by using cheaper models for data... |
Jack Roberts | summarized | 2026-07-15 21:06 |
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title of talk — speakername, companyname
Quadrable is a company building computer-using agents, and they have open-sourced Quad Driver, a background agent... |
AI Engineer | summarized | 2026-07-15 20:22 |
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Recursive Model Improvement — Lee Robinson, Cursor, SpaceXAI
Cursor trains AI models for code generation using a recursive self-improvement loop. The outer loop gathers user... |
AI Engineer | summarized | 2026-07-15 20:13 |
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How Anthropic Engineers ACTUALLY Automate Their Work
Anthropic engineers automate their work by following four rules: match the bottleneck to the right solution, create... |
Austin Marchese | summarized | 2026-07-15 15:45 |
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Don't Ship Skills Without Evals — Philipp Schmid, Google DeepMind
Shipping skills without evals is risky because agents are non-deterministic and skills can degrade performance.... |
AI Engineer | summarized | 2026-07-14 22:00 |
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You aren't using Codex like me...
Codex offers advanced features like model selection (Soul, Terra, Luna), thread delegation, browser integration,... |
Matthew Berman | summarized | 2026-07-14 16:15 |
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GPT-5.6 Sol vs Claude Fable 5 – The ULTIMATE Comparison Test!
GPT-5.6 Sol and Claude Fable 5 were compared across multiple challenging tests including 3D printing, magazine... |
Bijan Bowen | summarized | 2026-07-14 12:33 |
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In Code They Act, In Proof We Trust — Erik Meijer, Leibniz Labs
Erik Meijer argues that LLMs with tool calls are intrinsically dangerous because their agentic loop can produce... |
AI Engineer | summarized | 2026-07-13 19:25 |
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From fork() to Fleet: Designing an Agent Sandbox Cloud — Abhishek Bhardwaj, OpenAI
Sandboxes are essential for securely executing untrusted code from AI agents, and microVMs provide the strongest... |
AI Engineer | summarized | 2026-07-13 17:00 |
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11 Easy Ways To Use FABLE 5 So CHEAP It Feels Unfair
Fable 5 is an expensive reasoning model intended for strategic, multi-step tasks, not quick chatbot usage. By... |
AI Founders | summarized | 2026-07-13 15:00 |
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The AI bugpocalypse is here. Now what? - Jack Cable, Corridor
Frontier AI models are increasingly capable of discovering and exploiting software vulnerabilities, driving a 'bug... |
AI Engineer | summarized | 2026-07-12 22:00 |
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I Turned Claude Code Into a Complete Video Generation System (with Archon)
Archon, an open-source harness builder originally designed for AI coding, can be repurposed for content creation... |
Cole Medin | summarized | 2026-07-12 18:51 |
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Semantic Blindness: 500,000 Sensors Confused an LLM - Raahul Singh & Vanč Levstik, Phaidra
Phaidra engineers solved the problem of LLMs failing to handle 500,000 sensor names in large data centers by using a... |
AI Engineer | summarized | 2026-07-12 16:00 |
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Claude Code + Clay Makes Lead Generation Actually Fun
Claude Code combined with Clay solves lead generation and cold outreach by using natural language prompts to find,... |
Nate Herk | summarized | 2026-07-12 13:35 |
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Cactus Needle - The 26M Function Calling Model
Cactus Needle is a 26-million-parameter open-source function-calling model that runs efficiently on consumer... |
Sam Witteveen | summarized | 2026-07-12 13:00 |
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Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes, AWS
AI agent hallucinations can be reduced by moving guardrails from prompts into code. Five techniques—semantic tool... |
AI Engineer | summarized | 2026-07-11 21:45 |
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The Factory That Dreams: 39 AI Agents, No Framework - Rushabh Doshi, Machinecraft
Machinecraft built a 36-agent AI system called Eira that runs their entire go-to-market without a data science team... |
AI Engineer | summarized | 2026-07-11 20:00 |
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5 Insane ChatGPT 5.6 Sol Use Cases...
OpenAI's ChatGPT Sol 5.6 is a powerful new model that excels at tasks like web design, form filling, and sales... |
Jack Roberts | summarized | 2026-07-11 19:04 |
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Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab
Danielle Perszyk argues that human intelligence is fundamentally collective and social, and that current AI... |
Latent Space | summarized | 2026-07-11 17:00 |
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Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
The AI Engineer conference (AIE) was founded by Swyx and Ben to professionalize AI engineering, inspired by earlier... |
Latent Space | summarized | 2026-07-10 20:24 |
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Should AI Engineers Still Read Code in 2026? The Z/L Continuum — Alex Volkov, ThursdAI
The talk argues that AI engineers should not blindly abandon code review, nor read every line; instead, they should... |
AI Engineer | summarized | 2026-07-10 18:00 |
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NEW ChatGPT Work is the Claude Cowork Killer? (Full Breakdown)
OpenAI launched ChatGPT Work, a non-technical version of Codex that mirrors Claude Co-work, allowing users to... |
Brock Mesarich | AI for Non Techies | summarized | 2026-07-10 15:25 |
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GPT-5.6 Is HERE – Is THIS the Most INFURIATING Model Yet?
OpenAI released GPT-5.6 as a trio of models—Soul, Terra, and Luna—each with different cost and capability tiers,... |
Bijan Bowen | summarized | 2026-07-10 01:43 |
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GPT 5.6 Sol Made This Entire Video
GPT 5.6 Sol, running on Ultra, can autonomously produce a full video from a single prompt by coordinating multiple... |
Nate Herk | summarized | 2026-07-09 22:05 |
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How to use Fable 5 Better than 99% of People
Fable 5 is a powerful but expensive model; its real advantage comes from strategic use rather than raw capability. A... |
Jack Roberts | summarized | 2026-07-09 19:32 |
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The Golden Age of AI Engineering — Alexander Embiricos & Romain Huet & Peter Steinberger, OpenAI
AI engineers are eating the world as models and agents rapidly advance, with OpenAI shipping new models every six... |
AI Engineer | summarized | 2026-07-09 18:53 |
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"Stop prompting, start building LOOPS." - swyx
Building agent loops is the new prompting. Developers should focus on creating verification loops and specifying... |
David Ondrej | summarized | 2026-07-09 16:14 |
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I Love the Karpathy LLM Wiki but it Doesn't Scale. Here's What Does.
Personal AI agents built on markdown-driven second brains (like the Karpathy LLM Wiki) are powerful for individual... |
Cole Medin | summarized | 2026-07-09 00:00 |
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Fable 5 Just Built Me a Business With One Prompt
Claude Fable autonomously built a complete business from a single goal prompt, producing a landing page, product,... |
Nate Herk | summarized | 2026-07-08 22:05 |
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What do we build now? — Theo Browne, @t3dotgg
Theo Browne argues that AI models are improving faster than developers can adapt, so builders must think bigger and... |
AI Engineer | summarized | 2026-07-08 19:59 |
Frontier News · by Hyperjump Technology