Mitch Cooney

509 posts

Mitch Cooney banner
Mitch Cooney

Mitch Cooney

@mitchcooney

currently @paladincap / former @stepstonevc

Washington, DC Katılım Haziran 2017
515 Takip Edilen150 Takipçiler
jeb
jeb@JamesBarlia·
Launching a DC sports + local tech media platform Ex-Washington Post journalists: if you want to earn more, have real freedom, and build something from scratch that dominates old media, let’s talk Facts-first, no corporate guardrails, ship it and own it Gonna be electric
jeb tweet media
English
1
0
9
440
jeb
jeb@JamesBarlia·
37 DC-BASED EMERGING MANAGERS 👇 probably missing some, but hope this helps
jeb tweet media
English
1
2
7
433
Mitch Cooney
Mitch Cooney@mitchcooney·
“Easier software creation means more software. More software means more developers, not fewer. We should expect many thousands of new businesses each year as a result, & a similar explosion in second-order jobs.”
English
0
0
0
16
Mitch Cooney
Mitch Cooney@mitchcooney·
“What happened to auto industry employment? It grew. Massively. In 1910, US auto plants employed 76,000 workers. By 1929, that number reached 471,0004. Mass production created mass consumption, & mass consumption demanded more workers.”
English
1
0
0
17
Mitch Cooney
Mitch Cooney@mitchcooney·
Worth the quick read by @ttunguz on the potential parallels between the productivity gains derived by Ford’s Model T assembly line & the recent gains seen via AI coding tools — we are just scratching the surface of the abundant 2nd order effects of AI.
Tomasz Tunguz@ttunguz

In 1908, 253 American automobile manufacturers competed for the market. By 1929, just 44 remained. The assembly line didn’t just change how cars were made. It changed who got to make them. Ford’s Highland Park plant, operational in 1913, slashed the time to build a Model T from 12 hours to 93 minutes. That 90% productivity gain restructured an entire industry. Manufacturers who couldn’t match Ford’s efficiency faced a simple choice : adapt or exit. The consolidation was swift. Between 1908 & 1929, 83% of automakers vanished. Some merged. Most failed. The survivors shared a common trait : they adopted Ford’s methods. General Motors, Chrysler & the handful of remaining independents all built assembly lines. An analogous revolution is happening in software, with important differences. AI coding assistants now reduce development time by 55-81%. The curve is familiar. Ford took six years to achieve 90% time reduction. AI coding tools reached 81% in five. The slopes are nearly identical. What happened to auto industry employment? It grew. Massively. In 1910, US auto plants employed 76,000 workers. By 1929, that number reached 471,0004. Mass production created mass consumption, & mass consumption demanded more workers. The real explosion came from second-order effects. By 1929, for every one person building a car, seven others had a job because that car existed. Dealerships, service stations, repair shops & supply chains employed nearly 4 million people. The industry didn’t just create more manufacturing jobs; it spawned an entirely new economy of “enablers” that was 8x larger than the core manufacturing base. The software industry will follow a different pattern. In autos, capital intensity consolidated power. It’s the opposite in the world of AI. AI data centers, the assembly lines of software, enable hundreds of millions of developers to build software as if they had the capabilities of an automobile behemoth. Any developer can access state-of-the-art models with a laptop & a credit card. Easier software creation means more software. More software means more developers, not fewer. We should expect many thousands of new businesses each year as a result, & a similar explosion in second-order jobs. tomtunguz.com/the-model-t-co…

English
1
0
0
77
Mitch Cooney
Mitch Cooney@mitchcooney·
"In a world flooded with AI-generated text. “writing-first practitioners” have an edge that only sharpens. These are professionals who write to think, not just to market - and their cultivated voice and hard-won networks can’t be prompted into existence" every.to/p/the-heyday-o…
English
0
0
0
23
Mitch Cooney retweetledi
Front Office Sports
The Commanders are going back to the future with a $3.8 billion stadium rising on the former RFK Stadium site. Backed by roughly $1.1 billion in public funding, the project leans into the franchise’s past while building for what’s next.
English
5
18
91
10.3K
Mitch Cooney
Mitch Cooney@mitchcooney·
“Advances in AI have caused a seismic shift from a world in which answers were crucial to one in which questions are. The big differentiator is the ability to craft smart prompts.” hbr.org/2024/05/the-ar…
English
0
0
0
24
Mitch Cooney retweetledi
Tim Urban
Tim Urban@waitbutwhy·
It’s that day when I make you all look at this
Tim Urban tweet media
English
208
3.2K
26.4K
2.2M
JC Bahr-de Stefano
JC Bahr-de Stefano@jbahrdestefano·
Has anyone here spent time in the security space? Taking a look at a company and trying to dive in + learn from those who know much more than I do
English
6
0
6
1.6K
Mitch Cooney
Mitch Cooney@mitchcooney·
“Current estimates on Amazon Kindle are that almost 1/5 of recently self-published genre books included A.I.-generated text. (In their paper, lay readers— judges who weren't creative-writing students— preferred the artificial output to human writing even in the earlier versions”
English
0
0
0
23
Mitch Cooney
Mitch Cooney@mitchcooney·
“Students compared 30 A.I.-generated passages— one imitating each author in the study-with passages written by colleagues. They weren't told what they were reading; they were asked which they liked best. They preferred the quality of the A.I. output in almost 2/3rds of cases.”
English
1
0
0
21
Mitch Cooney
Mitch Cooney@mitchcooney·
newyorker.com/culture/the-we… AI distrusting writing is just the tip of the iceberg… as LLMs increasingly add parameters and improve operational performance, AI v human works will be indistinguishable & potentially preferred… w/o paywall: archive.is/QFjOQ
English
2
1
1
157