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AI Engineer

How I deleted 95% of my agent skills and got better results — Nick Nisi, WorkOS

15 min read

## 30-second take Nick Nisi (WorkOS DX engineer) built two AI agent systems—one internal (Case) and one customer-facing (WorkOS CLI)—and discovered that deleting 95% of his agent skills/prompts dramatically improved per…

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AI Engineer

Spec-Driven Testing for Agents With A Brain the Size of A Planet — Steven Willmott, SafeIntelligence

11 min read

## 30-second take SafeIntelligence CEO argues that "smarter ≠ safer" for deployed agents and proposes spec-driven testing that goes far beyond eval datasets. His thesis: you need formal specifications capturing rules, on…

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AI Engineer

Engineering voice agents: Latency, quality, and scale — Rishabh Bhargava, Together AI

19 min read

## 30-second take Rishabh Bhargava (Together AI, voice team lead) delivers a practical engineer's guide to production voice agents. His thesis: building quality real-time voice is no longer a research problem—it's an **…

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20VC with Harry Stebbings

The Most Intense Workplace Culture in America | The Journey from $0 to $2.6BN Valuation

45 min read

## 30-second take Nico, CEO of Corgi Insurance ($2.6B valuation), runs what he claims is America's most intense workplace culture: mandatory seven-day workweeks, work trials over weekends, 24/7 Corgi Café for founders, a…

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AI Engineer

How agent o11y differs from traditional o11y — Phil Hetzel, Braintrust

14 min read

## 30-second take Phil Hetzel from Braintrust argues that agent observability is fundamentally different from traditional observability—not just a subset of the same problem. Traditional o11y focuses on uptime and techni…

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AI Engineer

Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind

8 min read

## 30-second take Philipp Schmid (Google DeepMind, Gemini agents team) argues that senior engineers fail at agent development because they apply traditional software engineering mindsets—deterministic workflows, strict s…

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AI Engineer

How We Built Zeta2: Training an Edit Prediction Model in Production — Ben Kunkle, Zed

7 min read

## 30-second take Ben Kunkle explains how Zed trained Zeta 2, a small specialized model for predicting the next edit a developer will make at their cursor position. The core approach is distillation from frontier models …

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More or Less Podcast

Did Anthropic Use the Pope as a Marketing Stunt? Ft. Amir Efrati

41 min read

# Analysis: Did Anthropic Use the Pope as a Marketing Stunt? Ft. Amir Efrati ## 30-second take This is a Silicon Valley insider roundtable dissecting the current AI hype cycle vs. reality gap. The core tension: Amir Efr…

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My First Million

The guy behind South Park, MTV and SpongeBob reveals his secret for spotting winning ideas

51 min read

## 30-second take Tom Freston, co-founder of MTV and CEO of MTV Networks (which owned MTV, VH1, Comedy Central, Nickelodeon), explains how he built a $8-9 billion high-margin media empire from 1980-2006 by championing ec…

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AI Engineer

Reverse engineering a Viking VOIP phone protocol with Claude Code — Boris Starkov, Eleven Labs

12 min read

## 30-second take An ElevenLabs engineer used Claude Code to reverse-engineer a legacy Viking VoIP phone (Windows XP-era hardware) that had stumped three senior engineers for a year. The actual approach: brute-forcing tw…

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AI Engineer

Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j

12 min read

## 30-second take Neo4j's Zach Blumenfeld argues agents need "context graphs"—not just knowledge bases, but structured decision traces showing *why* past decisions were made. The key innovation: storing causal reasoning …

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AI Engineer

Reachy Mini: the $300 open source robot you can actually hack — Andres Marafioti, Hugging Face

16 min read

## 30-second take Hugging Face's Andres Marafioti presents Reachy Mini—a $300-450 hackable robot designed to democratize voice-AI-robotics integration before proprietary companies lock it down. His thesis: current robots…

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20VC with Harry Stebbings

Is OpenAI Rushing Its IPO?

1 min read

## 30-second take This is a low-content transcript—mostly repeated text and fragmented statements from what appears to be a business/tech news show. The core claim is that Anthropic is about to overtake OpenAI on all thr…

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20VC with Harry Stebbings

OpenAI & SpaceX S1 Drops | Layoffs at Cloudflare & ClickUp | OpenRouter & Polsia Raise Mega Rounds

76 min read

## 30-second take This is a sprawling discussion of NVIDIA's earnings, the OpenAI vs. Anthropic competitive dynamics, and SpaceX's S1 filing, with heavy focus on whether AI capex spending has sustainable ROI. The core th…

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Stripe

10 Years of Stripe France: The tech renaissance and what’s next

37 min read

## 30-second take This is a Stripe France roundtable celebrating 10 years, featuring Dust co-founder Stanislas Polu (ex-OpenAI, ex-Stripe), OneRagtime VC Stéphanie Hospital, and Wecasa CEO Pierre Salaün. The conversation…

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Every

Why Opus 4.8 Pulled Me Back to Claude

10 min read

## 30-second take Opus 4.8 is legitimately paradigm-shifting for serious Claude users—scoring 63 on Every's senior engineer benchmark (vs 62 for o3-mini, 30 points above Opus 4.7), 79.6/100 on writing benchmarks (vs 73 f…

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AI Engineer

Scaling the Next Paradigm of Heterogeneous Intelligence — Adrian Bertagnoli, Callosum

8 min read

## 30-second take Adrian Bertagnoli from Callosum argues that AI's future lies in **heterogeneous intelligence**—orchestrating diverse models of different architectures and sizes on optimized hardware, rather than scali…

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AI Engineer

How Google DeepMind Runs Agents at Scale — KP Sawhney & Ian Ballantyne, Google DeepMind

18 min read

## 30-second take This is a live demo/panel with two DeepMind engineers (Ian Ballantine, DevRel; KP Sawhney, AI platform team) showing how Google runs agents internally using a tool called "Anti-Gravity"—a VSCode-like ID…

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AI Engineer

Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j

12 min read

## 30-second take Neo4j proposes "context graphs" as a shift from giving AI agents mere knowledge to encoding **rules and policies** that enable autonomous decision-making—the "why" behind actions, not just the "what." A…

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My First Million

The 50 richest families in America are betting on this trend

54 min read

## 30-second take Joe Liemandt, billionaire founder of Trilogy (first AI product to hit $1B revenue in the '90s), spent 20 years quietly building Alpha School—a $1B bet that AI + learning science can let kids learn in 2…

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