Rafael Biacotti

8.8K posts

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Rafael Biacotti

Rafael Biacotti

@ShieldInvestor

IT Project Manager | Ex-SAP | Traveller & Tech. Enthusiast | 📍 London, UK

Beigetreten Haziran 2023
1.1K Folgt1.3K Follower
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The Best
The Best@Thebestfigen·
Paradox: If you see a baby located 90 light-years from Earth, right now it would be a 90-year-old, but you see it in your present, as a baby. While the light takes time to reach you, the baby grows and ages. When you look at the universe, you are always looking at the past.
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Reid Wiseman
Reid Wiseman@astro_reid·
There are no words.
Reid Wiseman tweet media
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NASA
NASA@NASA·
It’s not a straight shot to the far side of the Moon! 🌕 Over approximately 10 days, the Artemis II astronauts will orbit Earth twice before looping around the far side of the Moon in a figure eight and returning home.
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Polymarket
Polymarket@Polymarket·
JUST IN: Artemis II crew experiences issues with Microsoft Outlook on their way to the Moon, asks ground crew for assistance.
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FIFA World Cup
FIFA World Cup@FIFAWorldCup·
The greatest show in the world is ready. Are you? 🏆 #FIFAWorldCup
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Atlas Press
Atlas Press@realAtlasPress·
Hopefully this meme reaches Portugal
Atlas Press tweet media
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Rafael Biacotti@ShieldInvestor·
@iamanjeun I thought this was going in another direction after seeing that AK-47 showing up at the beginning.
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♡
@iamanjeun·
satisfying
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FinancialFreedom
FinancialFreedom@FinFreedom414·
Imagine you had to choose your life at age 40: Option A: Single. No kids. $10M net worth. Travel anywhere. Total freedom. Quiet house. Quiet holidays. Option B: Married. 3 kids. $1M net worth. Drive a Toyota. Chaos every morning. Loud house. Full dinner table. Be honest, which life are you choosing?
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Stan
Stan@_stanmbon·
Sleeping is just a daily free trial of death that we’re all addicted to because the subscription to reality is too expensive and poorly written. We basically tuck ourselves into a miniature casket every night, hoping our brains don't decide to play a highlight reel of our deepest traumas while our bodies play dead to avoid the crushing weight of our own existence. It’s the only time you can actually ghost the world without someone calling the cops to check if you finally followed through on your existential threats
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Rafael Biacotti
Rafael Biacotti@ShieldInvestor·
Good point. Thanks.
Aakash Gupta@aakashgupta

Sam Altman said people saying “please” and “thank you” to ChatGPT costs OpenAI tens of millions of dollars a year in compute. 67% of Americans do it anyway. Run the math on why. A 2024 Waseda University study tested LLM responses across politeness levels in English, Chinese, and Japanese. Impolite prompts produced measurably worse outputs: more bias, more errors, more refusals. Moderate politeness consistently beat both extremes. The mechanism makes sense once you see it. Polite prompts pattern-match to higher-quality training data. When you write “Could you help me structure this analysis?”, the model pulls from professional, well-reasoned text. When you write “give me the answer,” it pulls from Reddit. Google DeepMind’s Murray Shanahan explained it simply: the model is role-playing a smart intern. Treat the intern like a colleague, you get colleague-quality work. Bark orders, you get minimum-viable compliance. Now look at the cost side. OpenAI handles over a billion queries daily. Each GPT-4 query uses roughly 2.9 watt-hours, ten times a Google search. But OpenAI just raised $40 billion at a $300 billion valuation. Tens of millions in politeness tokens is a rounding error on a rounding error. 67% of users do it anyway, and 55% of them say it’s because it’s “the right thing to do.” They’re maintaining a behavioral habit that governs every other interaction in their life. The parent who teaches their kid to say please to Alexa isn’t doing it for Alexa. They’re doing it because the alternative is raising someone who learns that being rude gets faster results. Telling 900 million people to stop saying thank you so OpenAI can save 0.01% of operating costs is the most engineer-brained optimization take on the internet. You’re training yourself to treat every interaction as a transaction. And that habit doesn’t stay in the chat window.

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The Wolf Of All Streets
The Wolf Of All Streets@scottmelker·
When Brian Armstrong posted that AI agents can’t open bank accounts but can use crypto wallets - and that there will soon be more AI agents making transactions than humans - it stuck with me. Not because it was an extraordinary prediction, but because of how casually it hinted at something massive. If AI agents start transacting on our behalf - buying compute, paying for data, negotiating access to tools, coordinating with other machines - the internet could slowly evolve into an economy where software becomes an active economic participant. Imagine waking up and your personal AI agent - let’s call it BaseAgent - has already been working for hours. Overnight, it rented a short burst of GPU compute to process a batch of research you received while you were asleep. It paid a data provider a few cents to access a niche dataset, pulled what it needed, and moved on. By the time you check your phone, the results are already summarized and sitting at the top of your inbox. Later that day, BaseAgent notices a temporary spike in demand across distributed compute markets. Because you’ve allowed it to monetize idle resources, it leases a portion of your workstation’s unused GPU capacity into the marketplace. Somewhere across the world, another agent is paying to borrow those cycles. You don’t notice anything - your computer keeps humming softly under the desk. That evening, BaseAgent notices a new contract posted to a marketplace offering a reward for a rapid breakdown of unusual activity across several DeFi protocols. Rather than taking on the entire job itself, it assembles a small network of specialized agents - one traces wallet flows across chains, another maps liquidity movements, and a third identifies possible arbitrage patterns. Within minutes, the work is completed, the analysis is submitted, and the reward is automatically split among the agents through their wallets. There are no subscriptions to manage, no invoices to chase, and no billing departments in the middle. Just machines negotiating prices and settling payments instantly, around the clock. It sounds futuristic, but it’s not as far away or bizarre as it might seem. AI agents weren’t designed to operate inside traditional financial systems built around accounts, approvals, and human identity. Crypto, on the other hand, was built from day one to move value across the internet without permission. In that sense, the two are a natural match. Once machines can transact freely, they begin behaving like economic participants. They compare prices, outsource work, assemble networks, and move capital faster than any human ever could. If that world emerges - and I think it will - crypto stops being something people speculate on and starts becoming something their software needs. And when tens or hundreds of millions of AI agents begin demanding internet-native money to do business with each other, owning the assets that power that system may look less like speculation and more like being early once again.
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Historic Vids
Historic Vids@historyinmemes·
The very first sunrise of the 2000s, the dawn of a new millennium.
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Shooter McGavin
Shooter McGavin@ShooterMcGavin·
This hits hard
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Brian Armstrong
Brian Armstrong@brian_armstrong·
The 20 millionth Bitcoin was mined yesterday. Now there are only one million new Bitcoins to be mined, which will take over 100 years. Decentralized, inflation-proof, global money.
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