Didacus

Self taught software developer. Crypto enthusiast and financial market analyst.

[zerohedge @zerohedge]

Just 27.6% Of Stocks Outperform The Market While 60% Destroy Shareholder Wealth, New Study Finds https://t.co/QJcsZtRoOy

[Elon Musk @elonmusk]

Consistent with the simulation hypothesis.

Like a video game, objects are randomly generated, with positional certainty only when observed.

[Didacus @Didacus1117]

@Jason I'm in

[Naval @naval]

Introducing USVC - a single basket of high-growth venture capital, for everyone.

No accreditation required, SEC-registered, and a very low $500 minimum.

Includes OpenAI, Anthropic, xAI, Sierra, Crusoe, Legora, and Vercel. As USVC adds more companies, investors will own a piece of that too.

Liquidity typically comes when companies exit, but we’re aiming to let investors redeem up to 5% of the fund every quarter. This isn’t guaranteed, but if we can make it work, you won’t be locked up like in a traditional venture fund.

It runs on AngelList, which already supports $125 billion of investor capital.

And I’ve joined USVC as the Chairman of its Investment Committee.
—

Go back to the 1500s, you set sail for the new world to find tons of gold - that was adventure capital.

Early-stage technology is the modern version. It says we are going to create something new, and it’s risky. It’s daring.

But ordinary people can’t invest until it’s old, until it’s no longer interesting, until everybody has access to it. By the time a stock IPOs, most of the alpha is gone. The adventure is gone. Public market investors are literally last in line.

This problem has become farcical in the last decade. Startups are reaching trillion dollar valuations in the private markets while ordinary investors have their noses up to the glass, wondering when they’ll be let in.

Investing in private markets isn’t easy. You need feet on the ground. You need judgment built over years. Most people don’t have the patience to wait ten or twenty years for an investment to come to fruition.

But there is no more productive, harder-working way to deploy a dollar than in true venture capital.

USVC enables you to invest in venture capital in a broad, accessible, professionally-managed way, through a single basket of innovation, focused on high-growth startups, at all stages.

It is how you bet on the future of tech: the smartest young people in the world, working insane hours, leveraged to the max, with code, hardware, capital, media, and community. Your dollar doesn’t work harder anywhere.

There is an old line - in the future, either you are telling a computer what to do, or a computer is telling you what to do. You don’t want to be on the wrong side of that transaction.

USVC lets you buy the future, but you buy it now. Then you wait, and if you are right, you get paid.

Get access here:

https://t.co/pAj1sqUsG0

[𝐓𝐡𝐞 𝐀𝐫𝐭 𝐨𝐟 𝐏𝐮𝐫𝐩𝐨𝐬𝐞 🇺🇸 @creation247]

My favorite quote of all time:

"I have offended God and Mankind, by doing so little with my life." - Leonardo Da Vinci on his deathbed

[Didacus @Didacus1117]

@UpperEchelonWW @grok Hi grok

[moons @moonsandhues]

Be careful with music. It's all programming of some kind.

[Didacus @Didacus1117]

@TheRubberDuck79 @grok did Jeffrey Epstein killed himself?

[John Collison @collision]

Pieter Levels (@levelsio) and I sat down over a pint to talk about how he’s making $3m a year as a one-person company, what Europe can do to spur economic growth, and his experience as a digital nomad in over 150 cities across 40 countries.

Timestamps
00:00 Intro
00:37 Pieter’s resume
01:33 Trying to make money online as a 12 year old
02:43 Being one of the first YouTube creators
03:18 Who should indie hack
04:31 What Pieter hates about VC-backed businesses
07:51 Who is digital nomading for?
09:15 Learning from @patio11
10:17 125k tweets and the brand of @levelsio
10:59 Getting referrals from ChatGPT
11:43 What Pieter automates with AI
13:02 Investing and home country bias
15:05 Hacking thermostats
15:57 EU acceleration movement
18:34 Entrepreneurship in the EU
19:26 Pieter's reflections on Stripe’s API
21:21 Looking 5 years into the future

[blue @bluewmist]

we have normalised overconsumption. listening to a podcast while we walk, scrolling reels in the toilet, listening to music while we cook, watching a show on Netflix while we eat. it’s as if there is NO breathing space for your mind. you’re constantly trying to fill the void, the stillness and yet here you’re complaining about feeling groggy and demotivated.

[nico @nicochristie]

Introducing Shortcut — the first superhuman Excel agent.

Shortcut one-shots most knowledge work tasks on Excel.

It even scores >80% on Excel World Championship Cases in ~10 minutes. That's 10x faster than humans.

Our early preview is live. Just comment for an invite code.

[Andrew Gazdecki @agazdecki]

When founders realize distribution is more important than product:

[Didacus @Didacus1117]

@leojrr 👋

[Ray Dalio @RayDalio]

https://t.co/3axXP2mPHg

[jack @jack]

open source everything

[CES @CES]

ICYMI: Last night NVIDIA founder and CEO, Jensen Huang delivered an unforgettable keynote! Watch now

[Marc Andreessen 🇺🇸 @pmarca]

The Roaring 20's is here. 🇺🇸🚀

[Jordan F @jordanfogel]

This is Steve Cohen.

He’s the owner of the New York Mets and America’s most profitable day trader with a net worth of $19.8B

He didn’t come from riches, and he definitely didn’t have anything handed to him.

Here’s his story:

[Greg Brockman @gdb]

Introducing GPT-4o, our new model which can reason across text, audio, and video in real time.

It's extremely versatile, fun to play with, and is a step towards a much more natural form of human-computer interaction (and even human-computer-computer interaction):

[Marc Andreessen 🇺🇸 @pmarca]

Please enjoy @bhorowitz and me answering questions on the current state of AI!

01:14 How AI startups can compete with the bigger players
05:57 Will the "God models" get 100x better?
09:19 Counter argument: Are the tests too simple?
10:14 Internet data represents average human activity
11:50 AI's ability to unlock latent super genius limits
15:30 Neural networks exhibit generalized learning and computation functions
17:01 Reports of self improvement loops
19:10 Current data improvements
22:05 Challenges for AI applications
25:48 Business value-based pricing model
29:38 Two diametrically opposed questions about AI's impact on tech investment
32:48 The Jevons Paradox
36:46 John Maynard Keynes vs. Karl Marx
39:29 Demand for softwares is perfectly elastic
41:12 AI based medical diagnosis
42:09 Reality of data moats
48:06 Big companies and actionable data validation
52:05 Big companies using stolen data
53:07 Genetic Information Nondiscrimination Act (GINA)
57:53 Comparison of AI boom and internet boom
1:02:23 Marc's prediction for the AI industry
1:08:07 Lessons learned from internet era
1:12:12 Big companies trying to lock down AI
1:13:28 Core VC assumes half of investments will fail