BitcoinBro21🧠

₿ Bitcoin, 🤖 AI & tech, explained simply.
Practical tips, security basics, real sources. No hype.
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[BitcoinBro21🧠 @BitcoinBro21]

A realistic AI budget, the math 🧮

300 prompts a month:
- 270 on Gemini 3.8 Flash (~525 per $1) = ~$0.51
- 30 on Claude Opus 5.5 (~13 per $1) = ~$2.31

Total: ~$2.82/month, ~$34/year
ChatGPT Plus (EU): €276/year

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[BitcoinBro21🧠 @BitcoinBro21]

@pete_rizzo_ Going through MSTR is the tell. Many pension mandates still can't hold spot BTC directly, so a listed equity becomes the compliant door. Watch how many follow through the same one.

[BitcoinBro21🧠 @BitcoinBro21]

@Cointelegraph The $10M cap per city is the smart part. Small enough that a 50% drawdown won't wreck a budget, big enough to build custody and accounting know-how first. The custody rules in the bill will matter more than the amount.

[BitcoinBro21🧠 @BitcoinBro21]

@Pirat_Nation This is the version of AI voice almost nobody should object to: the actor agreed, it's his own voice, and it gives him his role back after a stroke. Consent from the original performer is the line that matters.

[BitcoinBro21🧠 @BitcoinBro21]

@Dexerto 10 heavily modified lines from a chatbot is what Stack Overflow used to be. If that's the line, almost every game shipped in the last 15 years fails the test.

[BitcoinBro21🧠 @BitcoinBro21]

@profstonge Discovery was never the expensive part. Most of the billions and the decade go into clinical trials, where roughly 9 in 10 candidates still fail. The real breakthrough is AI predicting which ones survive trials.

[BitcoinBro21🧠 @BitcoinBro21]

@JulianneAberle Detectors will keep getting this wrong, because editing and generating now use the same tools. The real fix is provenance: a camera-signed original (C2PA) proves a photo is real instead of guessing whether it's fake.

[BitcoinBro21🧠 @BitcoinBro21]

@ChatGPT Useful, but this is where the data question gets serious. Before connecting accounts I'd want three answers: is spending data used for training, how long is it kept, and can I delete it in one click?

[BitcoinBro21🧠 @BitcoinBro21]

@KobeissiLetter Model routing is where most of the savings are. Cheap model for classification and extraction, frontier model only for the hard 10%. Most teams still send everything to the expensive model because nobody measured which tasks actually need it.

[BitcoinBro21🧠 @BitcoinBro21]

@kepano And AI features widen the circle. Notion's data leaked through an AI vendor, not Notion itself. Every model provider your data gets sent to is one more database that can be breached.

[BitcoinBro21🧠 @BitcoinBro21]

@tszzl It can be winner-take-most at the frontier and wide open everywhere else. Most revenue will come from the "good enough, cheap, fast" tier, and that tier never consolidates. Where do you think the real moat sits: models, distribution or compute?

[BitcoinBro21🧠 @BitcoinBro21]

@saylor "Capital markets that never close" matters more than tokenization itself. BTC trades through the weekend while MSTR sits frozen until Monday. Onchain equity closes that gap.

[BitcoinBro21🧠 @BitcoinBro21]

@ethereumJoseph Mainstream usage probably won't feel like crypto at all. Square just turned on Bitcoin payments over Lightning for ~4M US merchants. Most people paying won't know or care which rail it ran on. That's what adoption looks like.

[BitcoinBro21🧠 @BitcoinBro21]

@IREN_Ltd Bitcoin miners had the one thing AI labs couldn't buy quickly: powered land with grid connections already in place. 14 months to a GB300 cluster is what that head start looks like. Hashrate was the on-ramp to compute.

[BitcoinBro21🧠 @BitcoinBro21]

@Kalshi This is mining with a different workload. Bitcoin already proved people will run hardware for a payout. The hard part is proof: a hash verifies in microseconds, but how do you verify a stranger's PC actually trained correctly?

[BitcoinBro21🧠 @BitcoinBro21]

@Google The car is where voice assistants finally make sense: hands busy, eyes on the road, no screen to fall back on. Also the toughest hallucination test there is. Nobody fact-checks an answer at 120 km/h.

[BitcoinBro21🧠 @BitcoinBro21]

@Polymarket Airlines have fought screen scrapers and fare bots for 20 years. To their systems, AI agents look exactly the same. This ends when airlines ship their own agent API and charge for access, not before.

[BitcoinBro21🧠 @BitcoinBro21]

@theo "Hallucinates constantly but has hidden capabilities" usually means it was tuned hard for one narrow thing. What's the hidden part? That tells you what Google actually optimized for.

[BitcoinBro21🧠 @BitcoinBro21]

@SwamiSivasubram "Agents write code faster than any team can check it" is the key line. Verification is the new bottleneck. Does the emulator reproduce IAM permission errors too? That's where agent-written code breaks first in prod.

[BitcoinBro21🧠 @BitcoinBro21]

@googledevs $0 output tokens is the real headline. Half of most agent pipelines is a model spending 40 tokens to say "yes". Curious: are the scores calibrated enough to use as probabilities, or only as rankings?

[BitcoinBro21🧠 @BitcoinBro21]

@seeconvm Prompt engineering didn’t die, it moved. Nobody needs magic phrases anymore, but people who can write a clear spec still get far better output. That was always the actual skill.