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One agentic workflow now does 1,000 hours of hedge fund analyst work. Aakarsh Ramchandi founded the data team @ Third Point, built screening engines @ FactSet, & now builds agentic research tools @ RavenPack. "There's gonna be a full convergence of quant and qual. Most discretionary analysts I know...

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Ethan Kho

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301,903 Aufrufe • vor 27 Tagen •via X (Twitter)

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Caleb

31,486 Aufrufe • vor 1 Jahr

After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep
40:50

After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep

Amp

36,150 Aufrufe • vor 5 Monaten

DROPS E15: CUDIS : The Decentralized Operating System for Health Data Edison , the Founder of Cudis, closed his $20M crypto fund at Bitcoin's peak in 2021 and invested 90% of his life savings into a $349 smart ring that pays users for their health data. Timestamps 0:00 - Introduction 1:00 - Welcome to DROPS 1:38 - Believer in Ethereum? 3:11 - That Person for Solana 6:31 - What Do You Do 10:24 - Who Are You 11:05 - What Sparked Conviction 13:10 - Last Project Sold, Discipline? Luck? 15:48 - Finding Next Calling 18:08 - Big Successes With Problems 20:32 - Why Do We Need Web3 24:55 - Pay to See Data, Why? 27:31 - Explain Cudis to Mom 30:38 - Why a Ring Specifically 33:11 - Cudis the Centralized Wearable 36:53 - Why Not Become a Partner 38:14 - How Many Own Cudis Ring 39:15 - How to Participate in Community? 41:02 - What Must Happen Now 43:12 - Cudis as a Luxury Brand
46:21

DROPS E15: CUDIS : The Decentralized Operating System for Health Data Edison , the Founder of Cudis, closed his $20M crypto fund at Bitcoin's peak in 2021 and invested 90% of his life savings into a $349 smart ring that pays users for their health data. Timestamps 0:00 - Introduction 1:00 - Welcome to DROPS 1:38 - Believer in Ethereum? 3:11 - That Person for Solana 6:31 - What Do You Do 10:24 - Who Are You 11:05 - What Sparked Conviction 13:10 - Last Project Sold, Discipline? Luck? 15:48 - Finding Next Calling 18:08 - Big Successes With Problems 20:32 - Why Do We Need Web3 24:55 - Pay to See Data, Why? 27:31 - Explain Cudis to Mom 30:38 - Why a Ring Specifically 33:11 - Cudis the Centralized Wearable 36:53 - Why Not Become a Partner 38:14 - How Many Own Cudis Ring 39:15 - How to Participate in Community? 41:02 - What Must Happen Now 43:12 - Cudis as a Luxury Brand

MR SHIFT 🦁

73,885 Aufrufe • vor 10 Monaten

Google just dropped a 1-hour course on agentic engineering from scratch: 00:00 – How to build your first AI agent 08:24 – Build agent memory (short, persistent, long) 28:34 – Agentic loops, long-running AI agents 40:04 – How to build MCP (MCP vs API) 1:00:22 – Multi-agentic systems This 1-hour watch will replace 10 paid agentic courses on the internet. Watch it today, then read how to build a self-improving agentic system in the article below.
1:12:14

Google just dropped a 1-hour course on agentic engineering from scratch: 00:00 – How to build your first AI agent 08:24 – Build agent memory (short, persistent, long) 28:34 – Agentic loops, long-running AI agents 40:04 – How to build MCP (MCP vs API) 1:00:22 – Multi-agentic systems This 1-hour watch will replace 10 paid agentic courses on the internet. Watch it today, then read how to build a self-improving agentic system in the article below.

Codez

212,245 Aufrufe • vor 1 Tag

Over the past year, we've been building our own internal agent infrastructure at YC: over 350 tools, self-improving skill loops, and a shared organizational brain that gets smarter overnight. In this episode of the Lightcone Podcast, we sat down with YC General Partner Pete Pete Koomen to talk about how he led the effort from the ground up. We cover how giving agents unrestricted access to one database was the key unlock, the self-improving skill loops that get smarter overnight, and why he thinks we've arrived at the personal computer moment for AI. 00:39 — YC's AI Stack 02:15 — The Finance Team Problem That Started It All 05:07 — SQL Access Changes Everything 07:20 — One Database to Rule Them All 09:14 — Jevons Paradox 10:07 — Denormalizing for Agents 12:15 — The Single-Player Era of Agents 14:16 — 350 Tools and a Shared Registry 16:24 — Skillify, DRY, and MECE Resolvers 18:23 — The Self-Improving Dream Cycle 20:26 — The Two-Sentence Pitch Skill 23:06 — How Super Intelligence Compounds 25:10 — Recording Everything as a Building Layer 27:10 — The Shared Organizational Brain 29:18 — Trust-Default Culture as a Requirement 30:44 — Raising the Floor for New Employees 32:35 — Horseless Carriages 34:24 — Why Chat Is the Best Interface for Agents 38:50 — Just-in-Time Software 40:49 — Centralizing vs. Decentralizing AI 43:32 — The Personal AI Revolution
46:29

Over the past year, we've been building our own internal agent infrastructure at YC: over 350 tools, self-improving skill loops, and a shared organizational brain that gets smarter overnight. In this episode of the Lightcone Podcast, we sat down with YC General Partner Pete Pete Koomen to talk about how he led the effort from the ground up. We cover how giving agents unrestricted access to one database was the key unlock, the self-improving skill loops that get smarter overnight, and why he thinks we've arrived at the personal computer moment for AI. 00:39 — YC's AI Stack 02:15 — The Finance Team Problem That Started It All 05:07 — SQL Access Changes Everything 07:20 — One Database to Rule Them All 09:14 — Jevons Paradox 10:07 — Denormalizing for Agents 12:15 — The Single-Player Era of Agents 14:16 — 350 Tools and a Shared Registry 16:24 — Skillify, DRY, and MECE Resolvers 18:23 — The Self-Improving Dream Cycle 20:26 — The Two-Sentence Pitch Skill 23:06 — How Super Intelligence Compounds 25:10 — Recording Everything as a Building Layer 27:10 — The Shared Organizational Brain 29:18 — Trust-Default Culture as a Requirement 30:44 — Raising the Floor for New Employees 32:35 — Horseless Carriages 34:24 — Why Chat Is the Best Interface for Agents 38:50 — Just-in-Time Software 40:49 — Centralizing vs. Decentralizing AI 43:32 — The Personal AI Revolution

Y Combinator

752,311 Aufrufe • vor 1 Monat