<span class="vcard">/u/srodland01</span>
/u/srodland01

Month later, qubic still reads to me like an unresolved compute-access experiment

A month back i was trying to figure out whether qubic was doing something genuinely novel or just wrapping distributed hardware incentives in a more interesting story. After sitting with it longer, one side of that question has gotten clearer. the othe…

open models keep catching up and the frontier keeps moving. at some point one of those has to stop

a year ago there was a clear tier gap. now i'm less sure, but not in the way i expected. the tasks where open-weight models have genuinely caught up are real: coding assistance, summarization, instruction following, solid day-to-day reasoning. for …

AI research is splitting into groups that can train and groups that can only fine tune

I strongly believe that compute access is doing more to shape AI progress right now than any algorithmic insight – not because ideas don't matter but because you literally cannot test big ideas without big compute and only a handful of organization…

mining hardware doing AI training – is the output actually useful

there's this network that launched recently routing crypto mining hardware toward AI training workloads. miners seem happy with the economics but that's not what i care about my question: is the AI output actually useful? running hardware is ea…

Is anyone else watching what Qubic is doing with distributed compute and AI training? Seems underreported in AI cirles

I follow AI infrastructure pretty closely and Qubic keeps coming up in my research in a way I find intersting but havent seen much discussion of in AI-focused comunities. Quick background for people who havent heard of it: Qubic uses what they call Use…