Tags / Startup & career
Thinking
- Failure’s Worth, Through V2er Metaphors: Waterfall, Helicopter, Map A V2EX thread on Fields medalists warning about AI cracking math problems. The real gold is the metaphors—hiking vs helicopter, copying exam answers, fog-of-war maps, and inventing the crane.
- Distillation Through V2er Metaphors: Fishbowls, Kitchens, and Copying A V2EX thread asked if model distillation is like fishing from someone else’s bucket. The replies turned an abstract term into vivid metaphors—and a clean takeaway.
- V2ers on Lying Flat: Meta Build, or Move Back to a County Town? Two V2EX threads, side by side: a slogan post about “four nos,” and a concrete case with ~¥2M savings, a kid, and a rural house. The real fight is definition vs constraints.
- When Average People Feel AI: Electricity for Knowledge Work, a Rounding Error Outside Nathan Lambert: the AI revolution may last a century, but daily life barely notices. Benefits are too indirect; politics looks like Engels’ pause. Deep adoption, not chat, marks the real shift.
- After the Agent Hype: Traditional SaaS Is Dead; AI-Native Keeps the Seat Atlassian’s rebound is not a seat-license comeback. “Agent as employee” hit enterprise reality—SoR, evals, and judgment matter again. Chat widgets won’t save legacy SaaS.
- An Alien Mind: Alignment Unsolved—Don’t Scale Flat-Out OpenAI’s chief scientist: AI is a grown alien intellect; goal ≠ value alignment; CoT monitoring is weakening. No lab has solved alignment enough for max-speed scaling.
- When Everyone Uses AI, How Do You Judge a Developer? A V2EX career thread distilled: shared tools do not equal equal skill. Interviews should weight direction, course-correction, architecture, and delivery.
- Is Software Worthless Now? Even Custom Work Commoditizes A V2EX thread distilled: whatever falls below the model kill-line gets cheap. When agents are strong enough even customization commoditizes.
- ChatGPT Improves Answers; Critical Thinking Widens Ideas A 1,000-student RCT from Bocconi and OpenAI: AI raises polish; causal-reasoning training raises originality. Old rubrics miss half the signal.
- Will AI Shrink Total Jobs? Demand vs Productivity A V2EX thread argues jobs track demand, not productivity — and human desire forever outruns AI. The comments tear into effective demand, prices and deflation.
- What Self-Improving Agents Actually Improve: Warp vs OpenAI Warp’s two-skill feedback loop is shippable; OpenAI’s shared-memory incident is not proven RSI. Skills compound from human labels—not weight updates.
- Book to Agent Skill: Nie’s Grassroots China Logic Toolbox nie-grassroots-logic turns Nie Huihua's book on grassroots governance into a Cursor/Codex skill: no full text, just frameworks for news, careers and policy.
- Nvidia's Risky Business: AI Funding Enters the Danger Zone Stratechery deep dive: from 1873 railroad bonds to hyperscaler debt and Nvidia's $500B GPU financing platform, each funding layer is riskier than the last.
- AI cannot replace lived experience After an AI conference, what stayed was not a demo. It was the part of being human that can't be compressed: showing up, colliding with the world, living it.
- The scarcest skill in the AI era: saying it clearly Why are 99% of the questions people ask AI garbage? We never learned to speak clearly. Clarity is what turns a model into a lever instead of a junk factory.
- The 35-year-old programmer crisis — and how to get out An eight-year programmer after leaving big tech: the profession is a sinking Titanic and most people are still fighting for first class. And a way off.
- When a 45-year-old paper is flagged as AI An AI detector scored a 1981 paper as machine-written. Humans are now stuck proving they are not a model. This is not science fiction. It is happening.
- AI didn't 10x your output. It 10x'd the work. A Silicon Valley engineer on the real numbers: 93% use AI, throughput rose ~10%, one study found it made people 19% slower. AI fatigue is structural.
- A programmer's survival guide in the AI era AI isn't here to take senior programmers' jobs. The 35-year-old crisis story flips: experience gets more valuable, if you can decide, constrain, and verify.
- Put Drucker, Munger, and Jobs into an AI decision system A founder turned six world-class thinking systems into agents — a Claude Code multi-advisor stack. Before a decision, the relevant master gets a pass.