07:00 Deep Dives8 months ago Why Most AI Agents Are a Security Risk Web Dev Cody makes the case that most AI coding agents — including Claude Code and Cursor — represent a genuine security risk when ru... 0 comments 5K views
18:39 Deep Dives8 months ago How to Solve the Biggest Problem with AI Hallucinations — instances where AI models confidently state false information — persist across every major LLM including ChatGPT, Ge... 0 comments 25.6K views
11:31 Deep Dives8 months ago This Test Was Built to Block AI — GPT-5 Finally Passed It GPT-5 has crossed the human performance threshold on ARC-AGI 2, a benchmark explicitly designed to resist memorization by testing abs... 0 comments 20.7K views
21:48 Deep Dives8 months ago [State of MechInterp] SAEs in Production, Circuit Tracing, AI4Science, “Pragmatic” Interp — Goodfire Mark and Jack from Goodfire, an AI interpretability research company, join Latent Space's year-end State of the Field series to surve... 0 comments 1.1K views
19:53 Deep Dives8 months ago The "Human Throttle" Problem That's Killing Enterprise AI Agent ROI Nate B. Jones argues that the real bottleneck preventing enterprise AI agents from taking on meaningful autonomous work is not model... 0 comments 12.3K views
10:25 Deep Dives8 months ago A New Kind of AI Is Emerging And Its Better Than LLMS? Meta FAIR researcher Yann LeCun and collaborators have published a paper on VLJ — a Vision Language model built on the Joint Embeddin... 0 comments 457.2K views
16:36 Deep Dives8 months ago The Codebase Singularity IndyDevDan introduces the concept of the \"Codebase Singularity\" — the moment when an engineer's agentic layer becomes capable of ru... 0 comments 33.4K views
01:02:44 Deep Dives8 months ago Jack Morris: Stuffing Context is not Memory, Updating Weights is Jack Morris, a researcher presenting at the AI Engineer conference, challenges a common assumption in AI system design: that putting... 0 comments 26.4K views
43:15 Deep Dives8 months ago Where does consumer AI stand at the end of 2025? A16z's consumer investment team — Olivia, Justine, and colleagues — delivers a data-driven year-end review of the consumer AI landsca... 0 comments 35.8K views
01:05:43 Deep Dives9 months ago How Claude Code Works – Jared Zoneraich, PromptLayer Jared Zoneraich, founder of PromptLayer — an AI engineering workbench processing millions of LLM requests per day — delivers a techni... 0 comments 82.7K views
42:14 Deep Dives9 months ago Production Ready n8n? Most People Get This Wrong This video from Bart Slodyczka addresses one of the most common gaps in n8n development: knowing how to move a working prototype into... 0 comments 3.9K views
21:22 Deep Dives9 months ago Why Agent Hype can fall short of reality – Joel Becker, METR Joel Becker, a researcher at METR (Model Evaluation and Threat Research), presents two empirical studies that together expose a strik... 0 comments 7.6K views
10:56 Deep Dives9 months ago The Unreasonable Effectiveness of Prompt Learning – Aparna Dhinakaran, Arize Aparna Dhinakaran from Arize AI presents a framework called \"prompt learning\" — a lightweight alternative to reinforcement learning... 0 comments 15.5K views
18:20 Deep Dives9 months ago Developer Experience in the Age of AI Coding Agents – Max Kanat-Alexander, Capital One Max Kanat-Alexander, a developer experience veteran now at Capital One, addresses a question many engineering leaders are quietly wre... 0 comments 21K views
15:33 Deep Dives9 months ago Making Codebases Agent Ready – Eno Reyes, Factory AI Eno Reyes, co-founder at Factory AI, presents a 20-minute talk at AI Engineer on what engineering organizations need to change to suc... 0 comments 44.4K views
43:58 Deep Dives9 months ago The “Final Boss” of Deep Learning Machine Learning Street Talk hosts a long-form technical conversation with DeepMind researchers probing the fundamental mismatch betw... 0 comments 67.4K views