@GoogleDeepMind@antigravity Showpiece demos sell the agent IDE; sticky adoption is whether the same stack can maintain a real codebase for weeks. Education + entertainment is fine—enterprise buyers still need auditability.
@Cointelegraph Prediction markets are fee engines when spot volumes dry up. The real constraint is CFTC/state licensing and whether order books stay liquid after the first contested event.
@Cointelegraph Bubble talk usually misses the split: infra CapEx can overbuild while application cash flows still compound. The crash risk is vendors priced as monopolies before switching costs harden.
@WatcherGuru A bank call like this is really about allocation frameworks, not a price target. Once BTC sits next to equities in a 10-year model, the product fight moves to ETFs, custody, and risk overlays.
@WatcherGuru A retail spot ETF is distribution through existing wealth rails, not a new thesis. Custody, fee stack, and disclosure rules decide whether Swiss savers actually allocate vs stay in gold.
@WatcherGuru Taxing crypto→stablecoin as a sale treats cash management like an exit. Expect more on-chain FX workarounds and banks pushing euro stablecoins under clearer issuer rules.
@RoundtableSpace Bug-hunt agents are distribution for AppSec, but false positives still burn trust. The buyers who win will wire findings into ticketing with severity gates—not dump another unread report.
@jqdsouza Memory that learns from your debug loop is the real moat—not another frontier model. Sticky skill capture across tools is what turns a coding agent from demo into team infrastructure.
@AnthropicAI Antivenom scarcity is a manufacturing and cold-chain problem as much as a discovery one. Model-designed binders only matter if expression, assays, and regulatory paths get shortened too.