Noah A.

Learn Everything, Prove it to Anyone. Personalized Courses for Career Minded Learners 📚. Self Promise now on iOS!

[MUKTAR @afcmuktar]

Lmao, how am I seeing this video for the first time 😭

[Noah A. @noahahaze]

😩

[Noah A. @noahahaze]

“If we’re all going to eat, someone’s got to sell” - Ken Griffin

[Garry Tan @garrytan]

The future is MCP/CLI

[Noah A. @noahahaze]

https://t.co/pLgn4cRmFa

[Noah A. @noahahaze]

@garrytan I built life of mine: ai assitants so anyone can hire working openclaw agents for specific task! Your openclaw agent’s downtime can be minimized at a profit! try it: life of mine on the app store or https://t.co/U0n33OCltC !!

[Noah A. @noahahaze]

you gotta muck around and find out

[Marc Andreessen 🇺🇸 @pmarca]

Words to live by. https://t.co/1a1f9fkVXZ

[Marc Andreessen 🇺🇸 @pmarca]

Claude knows! —>

The Lump of Labor Fallacy and Why AGI Unemployment Panic Is Economically Illiterate
Let me lay this out with full rigor, because this argument deserves to be prosecuted completely rather than waved away with a sound bite.

I. What the Lump of Labor Fallacy Actually Is
The lump of labor fallacy is the assumption that there exists a fixed, finite quantity of work in an economy — a lump — such that if a machine (or an immigrant, or a woman entering the workforce) does some of it, there is necessarily less left for human workers to do. It treats employment as a zero-sum pie.
The fallacy was named and formalized in the early 20th century but the error it describes is far older. It animated the Luddite riots of 1811–1816, where English textile workers destroyed power looms convinced that the machines would steal their jobs permanently. It drove opposition to the spinning jenny, the cotton gin, the mechanical reaper, the steam engine, the telegraph, the railroad, the automobile assembly line, the personal computer, and every other major labor-displacing technology in the history of industrial civilization.
Every single time, the catastrophists were wrong. Not partially wrong. Structurally, fundamentally, categorically wrong — because they misunderstood the nature of economic production itself.
The reason the fixed-pie assumption fails is this: demand is not fixed. Work generates income. Income generates demand for goods and services. Demand for goods and services generates new categories of work. This is an engine, not a reservoir. When you drain some of the reservoir with a machine, the engine speeds up and refills it — and often refills it past its previous level.

II. The Classical Economic Mechanism That Destroys the Fallacy
To understand why the lump-of-labor assumption is wrong about AGI, you need to understand the precise mechanism by which technological unemployment resolves itself. There are four distinct channels, all operating simultaneously:
Channel 1: The Productivity-Demand Feedback Loop (Say’s Law, Modified)
When a technology increases the productivity of labor or replaces labor entirely in a given task, it lowers the cost of producing whatever that task was part of. Lower production costs mean either:
∙Lower prices for consumers (real purchasing power rises), or
∙Higher profits for producers (which get reinvested, distributed as dividends, or spent as wages for other workers), or
∙Both.
Either way, aggregate real income in the economy rises. That additional real income does not evaporate. It gets spent on something — including goods and services that didn’t previously exist or were previously too expensive to consume at scale. That spending creates demand. That demand creates jobs.
This is not a theoretical conjecture. The average American in 1900 spent roughly 43% of their income on food. Today it’s around 10%. Agricultural mechanization didn’t produce a nation of starving unemployed farm laborers — it freed up 33% of household income to be spent on automobiles, television sets, air conditioning, healthcare, education, travel, smartphones, and streaming services, most of which didn’t exist as industries in 1900. The workers who left farms went to factories, then to offices, then to service industries, then to information industries. The economy didn’t run out of work. It metamorphosed.

[Noah A. @noahahaze]

shit like this just drops on a wednesday morning and you have to
A. Know to care
B. Understand how to apply
C. Be in a position to apply

- 80% cost reduction
- Hallucination mitigation
- 100x faster agents
- Insant Agent code sandboxes

The agent landscape is a racetrack

[Cloudflare @Cloudflare]

We’re introducing Dynamic Workers, which allow you to execute AI-generated code in secure, lightweight isolates. This approach is 100 times faster than traditional containers. https://t.co/c36Vkb7I0R

[Noah A. @noahahaze]

For better or worse, you NEED an X account if you’re building shit. Just to be informed enough to not build something obsolete. Cause a good idea today is shit tomorrow in this new era.

[Stripe @stripe]

https://t.co/m1LvWf3PBz

[Stripe @stripe]

https://t.co/m1LvWf3PBz

[Elon Musk @elonmusk]

iOS App Review delays are getting ridiculous

[Noah A. @noahahaze]

@nikitabier literally

[Nikita Bier @nikitabier]

iOS developers: How long is App Review taking for everyone these days?

It is now taking longer to get our app approved than it is to build the actual features.

[Noah A. @noahahaze]

@EHuanglu ‘photo realistic’ but showing a van dijk volley goal was a bad call

[anita · vellum.ai 👾🦾 @anitakirkovska]

if you haven’t vibe coded at least 5 apps with $0 revenue, what are you doing with your life

[Marc Andreessen 🇺🇸 @pmarca]

There is no substitute for the person who Knows What To Do.