@hschhaya I mentor juniors through code review regularly. AI-generated code still needs someone who can read it when a system breaks in production. That alone keeps high-level languages relevant.
@TivadarDanka This reframe also explains why matrix powers matter. I teach A^k as counting signal paths of length k through the network, which is exactly the intuition behind PageRank and Markov chain stationary distributions.
@metanixie@ama_protocol Patience is easy to claim and hard to verify. I look at what's actually in production: live pilots, real users, licensing status. Most 'building quietly' narratives turn out to be slower marketing cycles.
@CryptoMiners_Co The preferred qualifications tell you where their product research is heading even if nothing ships. I'd read tokenised deposits as the plausible first step here: they fit Apple Cash's custodial structure without touching unregulated stablecoin territory.
@RealAllinCrypto@Ripple@avax KRW1 on Avalanche through Woori is a deposit token experiment, not a won CBDC on public rails. Central banks build the settlement layer, and which assets clear on top is decided by regulation, not market enthusiasm.
NEW: FRED has added 137 data series about the adoption of generative artificial intelligence technology in the U.S. 📈
The information is collected through the Real-Time Population Survey (RPS) to measure:
(a) the share of working-age adults using generative AI for work, outside of work, and overall
(b) the reported time savings due to generative AI use
(c) comparative usage rates for generative AI, computers and the internet
https://t.co/cr9XlCm4ZX
@milkroaddaily Weekly close above 78.2k is the signal, not the intraweek tag. BTC rejected this exact SMA back in March. Sunday tells you if the reclaim holds.
@abenz95@OfficialLoganK Who reads it: solutions engineers and enterprise deployment teams. Loop: submit failing cases with your benchmark, they fold them into internal evals, you re-run against the next release. Worked well for us on retrieval-heavy workloads.
@OfficialLoganK From teaching data scientists, the teams that build their own test sets move faster. You also get real leverage once the labs see your benchmark shaping their release priorities.
Your own source says 'almost unlimited', not unlimited. ODL liquidity depends on XRP market depth in the corridor you're using. Fine for tens of thousands in Kenya. For institutional-scale settlement, depth is the binding constraint.
Remember:
XRP gives banks access to UNLIMITED liquidity for cross border payments.✅
Meanwhile, “no bank has UNLIMITED resources.”🔻
That is the liquidity problem XRP was designed to address.💯
Documented below.📝👇
@Dr_Crossroads I'd check breadth before trusting the sentiment gauge. Price at highs with fear at 35 usually means a narrow set of names is carrying the rally. Breadth data settles whether this is genuine caution or just concentration.
@Nova_E_T_H@Bilalbinsaqib Agreed. Pakistan's remittance corridors make this concrete for me. Moving even part of those billions in annual flows into regulated digital rails is financial access we can actually measure.
@Bilalbinsaqib Congratulations on the address. I work on licensing frameworks, and regulatory clarity is the prerequisite for the leapfrog you describe. Pakistan establishing a dedicated virtual assets authority is what moves tokenisation from ambition to actual financial access.
@CFTC Good series to follow. Agentic finance raises concrete supervision questions: accountability when autonomous agents execute trades, auditability of their decision logic. I'll be watching whether these forums feed rulemaking or remain dialogue.
@rezosh Agreed. The Ondo/JPMorgan/Mastercard pilot settling tokenised Treasuries on public rails made this concrete. Liquidity and counterparties no single corporate could assemble in-house.
@0xAyodele04 Fair point, but accountability still needs an identifiable party. Behind every agent is an operator with a legal address. Escrow with independent verification is the mechanism. Operator liability is the anchor. The two have to work together.
I'd separate the two claims. The institutional build-out is verifiable: Ondo/JPMorgan settled tokenised treasuries cross-border, DTCC's multi-chain rollout is set for 2026. Whether that makes a good retail entry point is a separate call.
John Gillen sees Ethereum entering the "then they fight you" phase, with institutions still trying to compete and a larger capital rotation potentially on the horizon.
That leaves an opportunity, in his view, for self-directed investors willing to think over a five- to ten-year horizon to get in early.
Feat. @BitcoinJesusETH@andyyy@therollupco