The Scriber (Ø,G)

Creator of Threads 🧵 | Destroyer of Fud 💣 #ETH #SOL

[The Scriber (Ø,G) @Pixel_Scriber]

The cycle is always the same:

Panic.
Doomposting.
Capitulation.
New ATHs.

Most people only remember the first part.

[The Scriber (Ø,G) @Pixel_Scriber]

@OrevaZSN giving a computer your entire medical history is a bold strategy

[The Scriber (Ø,G) @Pixel_Scriber]

@VaibhavSisinty we went from autofill text to an autonomous worker that critiques itself in just a few years

[The Scriber (Ø,G) @Pixel_Scriber]

We tried to tell them 5yrs ago 💀

[Watcher.Guru @WatcherGuru]

JUST IN: Bank for International Settlements finds tokenized central bank money and bank deposits can make global payments faster and safer.

[The Scriber (Ø,G) @Pixel_Scriber]

A lot of opportunities look bad if you judge them from a sample size of one.

One bad airdrop.
One bad mint.
One bad ICO.

Keep going 💪 The next one could make up for all of them.

[The Scriber (Ø,G) @Pixel_Scriber]

Most are still distracted by the noise.

Meanwhile, stocks are making new highs and crypto looks ready to send.

Sometimes the hardest trade is simply holding.

[The Scriber (Ø,G) @Pixel_Scriber]

The crazy thing about crypto is that your entire life can change because of one decision to stay consistent.

One wallet created.
One skill learned.
One project researched early.
One opportunity recognized before the crowd.

Tiny decisions compound massively here.

[The Scriber (Ø,G) @Pixel_Scriber]

The real crypto experience:

Win. Lose. Recover. Repeat 🔁

Most people tap out before the payoff arrives.

[The Scriber (Ø,G) @Pixel_Scriber]

@0G_labs @dsrvlabs Could this kind of sealed compute realistically support high-volume agent systems, or does TEE overhead become a bottleneck at scale?

[0G Labs (Home of Infinite AI) @0G_labs]

Independent take on 0G Private Computer from @dsrvlabs.

Their headline framing: privacy is either a policy promise or a code guarantee.
We picked code, sealed inference, TEE-attested.

Solid external read. $0G

[The Scriber (Ø,G) @Pixel_Scriber]

@michaelh_0g Erdős would be grinning. AI just raised the bar on unit distances after decades of stagnation.

[Michael Heinrich (Ø,G) @michaelh_0g]

Ai for science, love it

[The Scriber (Ø,G) @Pixel_Scriber]

@michaelh_0g True self-love starts right here. Simple but deep.

[Michael Heinrich (Ø,G) @michaelh_0g]

I am not my body
I am not my thoughts
I am not the ego
I am not the image I hold of myself
I am not the image others hold of me
I am the awareness behind them
True self love starts there

Buddha’s blessing
Buddha I am
True love and forgiveness

[The Scriber (Ø,G) @Pixel_Scriber]

Every big pump or dump is worth studying, even if you missed the trade. 📊

Figure out why it happened, lock the pattern in, and you’ll spot the next one faster.

[The Scriber (Ø,G) @Pixel_Scriber]

@0G_labs this setup forces builders to think beyond aesthetics and focus on reliability, accountability and coordination. that is where useful AI products are actually built

[0G Labs (Home of Infinite AI) @0G_labs]

0G is back in Lagos. 🇳🇬

0G Onsite Lagos - Robotics & Commerce is happening May 27 & 28.

2 days. 50 builders. One location.

Third time we're back. Each round the community ships harder.

Apply: https://t.co/qVuOJq0agT

[The Scriber (Ø,G) @Pixel_Scriber]

Crypto cycle for most people:

First you think you’re early and can’t miss.
Then the dip hits and confidence disappears.
You panic sell.
Price bounces right after.
You stare at the chart in pain.

Usually takes a few rounds before you get it:
You stop reacting and start holding with conviction 💪

[The Scriber (Ø,G) @Pixel_Scriber]

AI only really expands GDP when access to compute stops being the bottleneck and shifts from centralized control to something more distributed and efficient. The real unlock is making large scale models cheaper and easier to run so more people can actually build and deploy on top of them instead of just consuming outputs.

[The Scriber (Ø,G) @Pixel_Scriber]

@sama Yeah, big upgrades like this usually come from steady improvements under the hood, not just one change. Once the training pipeline gets more efficient, quality jumps like this start showing up more consistently.