antko

#Bitcoin

[antko @antko__]

@jchibbard It's not included into Rails 8.1. It is in rails edge, and will be likely included in the next Rails 8.2 release

[Javi Lopez ⛩️ @javilopen]

"Software will be a commodity, like electricity, and it will run directly in the LLM layer."

What does that even mean? I’ll break it down in detail (long post incoming 🍿) and once you finish there won’t be any middle ground. You’ll either reject the idea completely (and be wrong) or you’ll walk out a convert and I’ll welcome you to my cult 😂

Yesterday’s post, where I said I can see this coming very clearly in the near future, stirred up a lot of buzz and questions. So I’m going to flesh out the idea I’ve been sharing here (and with anyone who doesn’t get bored of me outside X, I’m tired of myself at this point) for over a year. Let’s get to it.

1. ‘All software will run in the LLM layer’

First, the obvious.

Even today there are people who, unbelievably, still deny we’re heading toward a world where all software (frontend, backend, infra, etc.) is created with plain natural language.

In reality, we’re basically there already with LLMs like Claude, Grok, or ChatGPT and tools like Cursor, Windsurf, or Lovable. Any decent dev I know doesn’t write a single line of code anymore. They speak in natural language and direct swarms of agents to build the whole app, then they just review it (and argue and beg 🤣) so the AI delivers their vision.

That part is trivial. If you’re not there yet, it’s because you don’t want to be.

The next leap is way bigger, and it’s where even people deep in AI look at me with skepticism.

We won’t need that layer either. No Python, no HTML, no C++, no CSS, nothing.

Everything (the whole software layer, the logic, the persistence or memory (call it a database if you want, but it’ll be much more than that), will ‘run’ directly inside the LLM.

Elon Musk summed it up in a line that’ll go down in history: "Any input bitstream to any output bitstream."

If you know tech, you probably don’t need more. You already get it. Just in case, here’s a quick example.

Today, if we want to build an upscaler like Magnific, we need:

- Backend logic, the code running on the server (in our case, Python)
- A database (Firebase, Postgres, Supabase, MySQL, etc.)
- The frontend layer, what the user sees: HTML, CSS, JavaScript
- The infra layer: cloud GPUs where the magic runs and where we call workflows via APIs

What a circus!

And sure, you can pretty much build this with Cursor + Claude already. But programming languages were designed for humans. Future AIs won’t need them. They’re redundant. A parameter we should remove. An inefficiency.

Do you really think all of this is necessary? Do you really think we’ll still be doing things like this in 20 years?

No. A future LLM, one that’s hard to imagine today but that we’ll see sooner than you think, could take a screenshot of today’s Magnific and, with just that image and a mouse click or drag, infer what it needs to do next.

INFER WHAT IT NEEDS TO DO NEXT.

And I don’t mean it’ll secretly build a frontend, backend, and database under the hood (that’s medieval). I mean it will literally generate the next visual frame to show the user. That could be the same screenshot with the slider moved 1 pixel to the right and the displayed image with a slightly more detailed upscale.

Just like that.

‘But… but… but… Javi… where does the logic happen? Where’s the program doing that?’

Directly inside the LLM! The same way today’s models can take an image and generate a full video with decent physics, they’ll understand what we currently call the ‘business logic’ of any application, no matter how complex.

"Any input bitstream to any output bitstream."

Logic emerging from the model itself, not from hand-crafted code.

Now you’ve probably got it. If not, take a minute to chew on the idea before moving on to the next point, don’t let it get stuck in your throat.

2. ‘Software will be a commodity, like electricity’

And not just software. All digital entertainment too (movies, videogames, etc.). In real time.

Most digital tech value will concentrate in very few companies. The ones that win the multimodal LLM race and the ones that provide the infrastructure they run on. Picture a world where saying ‘I want a SaaS that does this’ or ‘make me a movie in this style with my dog as the lead’ gets you an instant result from an LLM at a quality far above today’s best productions.

I basically think all logic and visual layers will run on ultra-advanced LLMs we can barely imagine today. It won’t make sense to build apps, sites, or entertainment the way we do now. The ability to do it will concentrate in companies with the best LLMs and the compute to run them at scale.

We’ll pick AI providers mostly on price and much less on features or capacity. Think electricity companies today, or PS vs Xbox if they lock in some interesting IPs.

3. ‘But Javi, they aren’t deterministic and they don’t have memory. They’ll never build decent apps like this’

Calling it impossible is short-sighted. Of course they’ll have persistence and memory. Just not in the simplistic ‘like a database’ way we use today.

4. ‘Ok, but how would you even build an LLM like that?’

Carefully 😂

Mainly with synthetic data. Here’s an obvious idea that’s still pretty revolutionary.

Since LLMs and agents are close to generating end-to-end apps (backend and frontend), we can instrument them to build in a closed loop, with explicit objectives and reward functions, logging UI states and inputs. Those trajectories can feed training for future foundation models.

If I can think of this with my limited knowledge (even if no big company has said publicly they’re doing it), I can assume much brighter minds are already on it.

5. ‘If this turns out to be true, how do you get an edge over the non-believers?’

You’re already ahead if you’re right about something like this. For now, my move is positioning through investments, figuring out which companies will concentrate most of the power by locking down GPUs and the tech. I’ll drop a link later in the thread, though it may be short-sighted and focused on what exists today. Best you can do is follow the game day by day and stay sharp.

How’s that landing?

Any questions, happy to answer in the comments.

[Michael Saylor @saylor]

I discuss thermodynamics, theology, and history with @JordanBPeterson — and answer a bunch of personal questions along the way.

[Official Jon Lajoie @jonlajoiecomedy]

Everyone has a podcast, even Jesus.

[Michael Saylor @saylor]

My 3-minute presentation to the $MSFT Board of Directors and @SatyaNadella, articulating why the company should do the right thing and adopt #Bitcoin.

[Mike Alfred @mikealfred]

I'm hearing rumors from multiple parties today that @joerogan is preparing to interview Michael Saylor. Please retweet to show Joe that you want to see Saylor on the podcast.

[Bit Paine ⚡️ @BitPaine]

The average person actually has no idea how much better elite people are at EVERYTHING. It’s just more obvious in sports than in other endeavors. People can SEE Usain Bolt or Simone Biles do things that are beyond the realm of conceivability for them, but they can’t SEE why Elon Musk or Steve Jobs are billionaires and they’re not. They think it must be due to corruption or privilege.

The thing is, all humans traits have variability. There are a set of traits that matter for sports (ie coordination, power, height, focus); for entrepreneurship (intelligence, ingenuity, perseverance, ruthlessness), for artistic performance (stage presence, charisma, emotional control, voice control), for mathematics (raw g intelligence), etc.

There are ~10^10 people in the world. If you talk about the elite-most 10 people in anything - you are at a 10^-9 or SIX SIGMA deviation from the mean.

Most people you know who are “good” at something are at best a 2-3 sigma deviation from the mean. Truly elite people are a greater relative distance from them than they are from the mean.

Cope and seethe as you must, this is simply the power of large numbers applied to variability.

Understand that like all things, gifts don’t come without costs. Being a six sigma in something means you have some extreme trait deviation and there are usually some drawbacks that come with this. For example, the level of strength and aggression that makes a great pro athlete may also predispose to violence; many extremely creative people are mentally ill; many highly intelligent people lack sociability/empathy.

But what you absolutely must not do is force equality on society. People are manifestly unequal in every endeavor, and the advancement of human civilization depends upon those elite people.

There’s like, at most, 100 people alive at any given time upon whose existence the advancement of civilization depends. Probably not you (sorry). People like Newton, Einstein, Beethoven, Turing.

Their burdens are their burdens, but capitalism ensures that the gifts of their genius endure and make everyone better off.

So LET THEM COOK.

[antko @antko__]

@BGatesIsaPyscho It does not make him better even if he is right

[Luke Broyles @luke_broyles]

Theory.

Companies at the cycle top will be smash-buying and raising debt for #Bitcoin. Each time they will do it will pump their stock price 10%-30% in following days.

Everyone tries to copy @MicroStrategy. Similar hype to dot-com bubble companies calling themselves internet companies.

This syphons demand away from altcoins and #Bitcoin meaning muted meme coin gains and the #BTC traders transitioning to #Bitcoin stacking companies vs spot #BTC.

This means harder for exponential price rise in #Bitcoin to sustain.

Marks top.

On the way up degens prefer equities buying #Bitcoin because unlike alts they have more "tradfi" support.

On way down they crash hard because unsustainable #Bitcoin strategy.

#Bitcoin begins to crash. Stock prices fall. Many companies burnt. Next cycle bottom FUD is "#Bitcoin is dead because it took out X companies."

Bottom marked when everyone calling for @MicroStrategy and other companies that stacked #BTC more conservatively to fold and sell their #BTC.

Begin new bull market.

This cycle's alt coins are company stocks buying #Bitcoin.

Is this crazy?

[jack @jack]

so great https://t.co/krlIswJEit

[Michael Saylor @saylor]

What if an investor with unlimited capital announced a program to acquire 450 $BTC daily at the market price for the next four years and hold the asset forever? What if they increased their purchases to 675 BTC daily in 2028, and to 787.5 BTC daily in 2032? #BitcoinHalving.

[antko @antko__]

@DSBatten You can borrow USDT with BTC collateral on https://t.co/1Wjn09pi9h

[Nik @nikcantmine]

> mainstream media news anchor upset because Michael Saylor won’t say he’ll sell bitcoin

> Gigachad explains to her: “people who use fiat currency as a store of value, there’s a name of them, we call them poor”

☠️😂

[antko @antko__]

@ianmiles That is Moscow. Average Russian city does not look anything near like this

[Martti Malmi @marttimalmi]

My email correspondence with Satoshi in 2009-2011: https://t.co/jyoX8gXckp

[Parman BIP110 🔑 Bitcoin Self-Custody Mentor @parman_the]

With #Bitcoin going up again, wives are coming out of the woodwork, putting aggressive pressure on husbands to sell. Resist.

[antko @antko__]

@BitcoinMidas_ That is not true. jpegs transactions barely offset decline of income from increased difficulty

[antko @antko__]

Is any open source platform to run own #Bitcoin mining pool exist?

[Tuur Demeester @TuurDemeester]

🤯 Watch @PrestonPysh explain how MSTR is de facto launching a speculative attack against all the world's stock markets, by issuing more common stock and converting it into bitcoin. This is possible "because P/E is grossly mispriced, globally."
https://t.co/jQ1U6o5w9X

"[Let's say global P/E is at around 30 right now.] Say on a bitcoin standard, it will be down to 10. That means you need a 66% reduction from current equity premiums to manifest itself into this new world. Which means you should be a seller of common stock until it gets to those low PE ratios if you're denominating your treasuries and your free cash flows into bitcoin. For the companies that aren't doing that, [the P/E ratio even has further to fall.] This is a really big idea that I think is lost on nearly everybody."

[Whitespectre @whitespectrehq]

🥳 We're celebrating 10 years!

Our first decade has gone by in a flash, but looking back, these years have been filled with conquered milestones, plenty of tech landscape shifts and many success stories that we're proud of 🎉

Here's to 🔟 more! 🙌

📍 https://t.co/Mz14dFU2rR