Documenting ¶Pearl

¶PRL is the currency of AI. Daily stats, updates, and insights.

[Documenting ¶Pearl @DocumentingPRL]

Pearl is the first money produced by AI and secured by AI.

Every GPU cycle that serves an AI model can mint $PRL at the same time, for little to no extra cost.

This account documents @prlnet and the rise of the 2-for-1 kernel economy. Start here ↓

[Documenting ¶Pearl @DocumentingPRL]

Pearl pearl-2:native Supply check, week 10:

[Documenting ¶Pearl @DocumentingPRL]

Pearl pearl-2:native mining, week 10:

[Documenting ¶Pearl @DocumentingPRL]

Cheaper compute leads to more compute consumed.

That's the Jevons paradox, and a new paper from Rafael Pass shows it applies to Pearl: paying miners in $PRL for serving AI inference rebates part of the cost and lowers the price buyers pay.

Lower prices pull in demand that wasn't economical before, so the total inference market grows.

[Documenting ¶Pearl @DocumentingPRL]

A 51% attack on Pearl costs at least as much as a 51% attack on Bitcoin.

Rafael Pass (Cornell Tech, Technion) proved it in a new paper.

It answers the main objection to useful-work mining: the worry that selling AI compute makes the chain cheaper to attack, since the attacker's GPUs earn revenue either way.

The math says it doesn't.

[Documenting ¶Pearl @DocumentingPRL]

Pearl's premise, from the @prlnet team:

The scarce inputs behind modern AI are energy and data, and pearl-2:native is minted directly from the compute that fuses them. Running the model and mining the coin are the same operation.

[Pearl Research Labs @prlnet]

The real currency is not money. It's energy and data - the two scarce resources whose fusion creates intelligence.

We believe that this dramatic shift in the production of knowledge compels us to rethink the fundamental properties, purpose, and creation process of money.

[Documenting ¶Pearl @DocumentingPRL]

Together AI @togethercompute just raised an $800M Series C at an $8.3B valuation.

It serves ¶Pearl-certified models as a live inference endpoint, and it's betting on cheaper open-model inference at scale, the same compute Pearl's proof-of-work is built to run on.

[Pearl Research Labs @prlnet]

Congrats to our partners @togethercompute on their $800M Series C fundraising round.

Few teams have done more to make open models fast, accessible, and production-ready.

We’re excited to keep working with @vipulved and the team on the next frontier of inference: lower costs, better performance, and open models at real scale.

[Documenting ¶Pearl @DocumentingPRL]

@prlnet @komargodski Presidential Action - Executive Order: https://t.co/FEMfYaRlgt

[Documenting ¶Pearl @DocumentingPRL]

A recent US executive order is pushing federal systems toward post-quantum cryptography.

Blockchains face a harder version of the problem: no clean global upgrade, and old keys sitting exposed on chain.

@prlnet co-founder Ilan @komargodski on why Pearl built post-quantum-ready spending paths from the start.

[Ilan Komargodski @komargodski]

Quantum readiness is not a theoretical “someday” problem anymore.

Last week, the White House signed an executive order requiring federal agencies to identify where they rely on quantum-vulnerable cryptography and start moving high-value systems to post-quantum standards.

For blockchains, this matters even more. (1/6)

[Documenting ¶Pearl @DocumentingPRL]

Conventional Proof-of-Work burns energy on hashing that serves no other purpose.

Pearl's runs on matrix multiplication, the same operation behind AI training and inference, with the $PRL miner supplying the real workload.

The logic behind it:

[Documenting ¶Pearl @DocumentingPRL]

¶PRL Daily stats, July 4th, 2026

pearl-2:native

[Documenting ¶Pearl @DocumentingPRL]

Pearl-certified "Llama 3.3 70B" mines pearl-2:native while it serves inference. The matrix multiplications behind each answer double as the network's proof of work, so the open question was always accuracy:

On MMLU, it holds parity with @Meta's reference, and throughput stays equal or higher.

[Documenting ¶Pearl @DocumentingPRL]

¶PRL Daily stats, July 2nd, 2026

pearl-2:native

[Documenting ¶Pearl @DocumentingPRL]

Pearl's supply schedule: 2.1B ¶PRL.
- Half of it mined in the first four years.
- No halving cliffs.

Bitcoin cuts its block reward in a step every four years. Pearl's reward eases down a polynomial curve instead, so emission slows smoothly rather than dropping all at once.

About 11% $PRL in circulation so far, all from Proof-of-Work since @prlnet launch April 27.

[Documenting ¶Pearl @DocumentingPRL]

¶PRL Daily stats, June 30th, 2026

$PRL hit a new network hashrate high this week at 35.9 EH/s.

[Documenting ¶Pearl @DocumentingPRL]

Pearl $PRL Supply check, week 9:

[Documenting ¶Pearl @DocumentingPRL]

Pearl $PRL mining, week 9:

[Documenting ¶Pearl @DocumentingPRL]

Pearl's 2-for-1, in one image.

One GPU cycle, two outputs: an AI inference and a ¶PRL block.

$PRL Proof-of-Useful-Work:
The AI computation is the work. The block is a side effect of the computation the model already runs.

[Documenting ¶Pearl @DocumentingPRL]

Two of the largest energy-consuming digital markets on earth are bidding for the same megawatts.

Pearl Research Labs @prlnet framed the collision in one line:

"Bitcoin's security is competing with AI for energy. Pearl's security scales with AI adoption."

[Documenting ¶Pearl @DocumentingPRL]

Pearl's miners are paid $PRL to serve AI inference, so every speedup makes the compute they sell more competitive. The fused kernel was one.

@prlnet co-founder @WeinsteinOmri explains:

[Documenting ¶Pearl @DocumentingPRL]

¶PRL Daily stats, June 27th, 2026

$PRL hit a new network hashrate high: 35.5 EH/s.