Bitduke

gpt-6.2-astra xhigh spotted feels like it's almost here

really looking forward to this one. i want to know how much of Claude’s recent progress already comes from earlier models helping researchers build the next ones, and how quickly that contribution is growing feels like one of the most important things happening in ai right now

KOSPI isn’t feeling well this morning (yep, circuit breaker)

that makes sense. all the approved data centers in Texas are going to get built

i wouldn’t bet on that glorious rotation, since parts of crypto are already tied to the ai trade through decentralized compute, agent software and stablecoin payments crypto also tends to become more correlated with stocks during market stress, so an ai unwind could drag both

not investment advice... but now ai can see exactly how bad yours has been Claude is rolling out personal finance in beta. they suggest connecting your bank and card accounts through plaid to ask where your money went, spot duplicate charges and so on. access is read-only for

apparently smashing your keyboard long enough can count as authentication now! some Alpine servers will let you in with a completely wrong password, provided it’s long enough if you’re running Alpine Linux with ssh password auth enabled and pam disabled, update immediately. on

the best AI models survived a statistical reality check, but weaker models took a hit after ECI switched to Bayesian modeling Epoch AI’s popular Epoch Capabilities Index (measures general AI capability across 50+ benchmarks on a common scale), just switched to Bayesian modeling.

Thinking Machines’ inkling-small just made a comeback under the hood of SWE-2 Flash, Cognition’s new US-built coding model haven’t heard much about inkling-small in a while, but Cognition took the base from 0.9% to 20% on Terminal-Bench 4.0 and from 3.2% to 24% on FrontierCode

no more recreating existing games with Claude, even abandoned ones, if i understand it correctly. a little sad and kinda controversial but it seems like there's a growing trend of restricting RE capabilities in frontier models available to the general public

ChatGPT Images 2.6 gifs like these from images + 50% faster image generation

patches for CVE-2026-98432 exist now, but about half are still in -proposed, while Ubuntu 20.04 LTS and older still have no fix (pending)

7,500 pages of math -> 16 MILLION lines of Lean Axiom just released a formalization of the entire Stacks Project, one of the foundations of modern algebraic geometry, using AI agent swarms what’s especially impressive is that they managed to preserve the connections between

sentiment is clearly strongly anti-data center right now, but let's see if it actually translates into any concrete action in the near future

300,000+ kernel submissions, and Paradigm’s Muse Spark Open Kernel Challenge just gave you one more reason to rerun your code for the final kernel sprint the organizers clarified (loosened?) that bf16-accurate approximate math, bf16/fp16 partial sums and fp16 accumulation in

good initiative, especially given how much security teams have to keep up with rn (Mythos!)

you’re no longer reviewing your ai’s code that’s the warning from Addy Osmani’s x article. he works on Claude Code and is now worried about engineers losing critical thinking. ai got so good (and this's true) that its work stops looking wrong, so you stop checking. first you

SemiAnalysis dropped the gdpx benchmark, with even the best ai model scoring only around 12% the independent semiconductor and ai research firm built it around one question: how well can frontier models independently complete difficult, economically valuable work when they have

the question is, will this Blue Wave Across America hit the data centers like a tsunami and bring everything to a halt, or end up powering them?