Thirty spokes meet in the hub.
Where wheel isn’t is where it’s useful.
Hollowed out, clay makes a pot.
Where the pot’s not is where it’s useful.
Cut doors and windows to make a room.
Where the room isn’t, there’s room for you.
So the profit in what is
is in the use of what isn’t.
Google Quantum AI just showed ECDLP-256 can be broken with 20x fewer qubits than previously estimated
ECDLP-256 is the math problem underpinning the cryptography that secures wallet signatures on virtually every major blockchain
Under 500k physical qubits required which will allegedly take minutes to execute
They validated it via zero-knowledge proof to keep the circuits classified. That tells you everything about the severity
Every chain running on elliptic curve cryptography is now on a migration clock to post-quantum standards
This is the most underpriced risk in the digital asset ecosystem
The plus side is that 500k qubits is a ~5,000x gap between where we are today and where you’d need to be; the hardware doesn’t yet exist to execute this
We allegedly have until 2029 to migrate to a post quantum safe protocol
Honestly didn’t think this would be so soon, but at least we know what the existential threat to crypto will be in the coming years! Now time to backsolve it
Just in case Gen Z is trying to understand what happened today:
Claude was mogging OpenAI for weeks. Then this gymcel dev ships Clawdbot which was the fastest growing OSS thing ever, absolute looksmax for the whole ecosystem.
Anthropic tries to dairygoon him with legal. Dev renames to OpenClaw. OpenAI slides in like a foid-pulling Chad with acquisition interest. OpenClaw gets acquired by OpenAI.
Now Anthropic is getting jestergooned by the entire timeline and OpenAI is gigamaxing off their fumble.
Anthropic could've just let him cook. Instead they went full moid and got outframed by the jestermaxxers at OpenAI.
A super interesting new study from Harvard Business Review.
A 8-month field study at a US tech company with about 200 employees found that AI use did not shrink work, it intensified it, and made employees busier.
Task expansion happened because AI filled in gaps in knowledge, so people started doing work that used to belong to other roles or would have been outsourced or deferred.
That shift created extra coordination and review work for specialists, including fixing AI-assisted drafts and coaching colleagues whose work was only partly correct or complete.
Boundaries blurred because starting became as easy as writing a prompt, so work slipped into lunch, meetings, and the minutes right before stepping away.
Multitasking rose because people ran multiple AI threads at once and kept checking outputs, which increased attention switching and mental load.
Over time, this faster rhythm raised expectations for speed through what became visible and normal, even without explicit pressure from managers.
1/ Introducing https://t.co/3G1FcUsLPy
USDAI is a yield-bearing synthetic dollar backed by DePIN assets like compute, telecom and solar
It pairs DeFi’s global liquidity w/ cashflow-generating infra, tackling a $600B DePIN / AI funding gap with a new DeFi vertical: InfraFi