Scott Edwards
@ScottEdwar33859
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Bitcoin might just save us from ourselves
Naples, FL
Joined August 2025
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I have one interview question I use to find real ML engineers: "Explain Backpropagation. No, not the concept. The math. From scratch." 9 out of 10 candidates can't. They can use a library. They can't build one. The 1/10 who can? They've all built the foundation. This 26-video
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That bottom candle confirm on the daily is something you just don't see often, fade it at your own risk We get above that blue line and it's game on in a big way IMO $BTC
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This paper really is groundbreaking. It solves a long-standing embarrassment in machine learning: despite all the hype around deep learning, traditional tree-based methods (XGBoost, CatBoost, random forests, etc) have dominated tabular data—the most common data format in
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$BTC Got an interesting setup on the daily chart which is the only thing worth paying attention to. The story is now the confirmed bottom vs the stage 4 downtrend channel. Who wins?
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#BTC Based on what I see in ETHUSD, I do expect BTC to break (C) at $93k which means it's supposed to do a "double correction" Targets BTCUSD: 96-97k ETHUSD: 3200-3300 I'll do a video tomorrow explaining this and show what is needed to invalidate the outlook for 1 more down.
#BTC update Bounced as expected and even a bit stronger.... It's just above my red box. The move shown in the chart (from yesterday) is invalidated if it manages to break above (C). If so, it could go to ~96k before possibly turning lower again.
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Users wanted a way to permanently turn on the "Smart/Slow" models, and/or save their preferred AI aggregator model between rooms. Our new "Save Default Settings" menu will do this. Keep posting public feature requests 😀
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Were you surprised? I was surprised. See the full discussion with @divyasiddarth here: https://t.co/do3dc1nQGQ
theMultiplicity Podcast Episode 1: Divya Siddharth on collective intelligence, with Andrew Critch (@divyasiddarth / @AndrewCritchPhD) 0:00:00 – Collective intelligence, AI and democracy 0:07:29 – Capitalism 0:12:47 – Nudging America 0:14:43 – More capitalism 0:16:14 – Facebook
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DeepMind x UCL | Deep Learning Lecture Series 2021 Youtube Playlist: https://t.co/vo0EFkNOps
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JUST IN: Elon Musk says Bitcoin is a true currency based on energy. "You can't legislate energy."
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Lecture Notes on Machine Learning by Miguel A. Carreira-Perpinan PDF: https://t.co/qJv3XVUGkn
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This 277-page PDF unlocks the secrets of Large Language Models. Here's what's inside: 🧵
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I wrote a 1000-word long article to teach how derivatives work with one, two, and a Billion variables. Trust me, no one has ever explained derivatives to you like this before: https://t.co/kmdMau66E6
thepalindrome.org
A deep dive into differentiation
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@keoneHD I don’t know the first thing about your tech. I’m sure it’s good, everyone that speaks about you and your team say you guys are smart as fuck. But your tokenomics pretty much guarantee $MON will be Down Only. Tell your community how the chain will absorb the 90% of tokens
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Dear @CryptoHayes , I respect what you have built for the industry. Perps are an amazing innovation that I believe will continue to grow rapidly. You've had a big effect on our industry. I have seen you commenting on Monad a lot for the past few days. While I'm sure some
gmonads.com
gmonads.com — Real-time Monad dashboard
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@CryptoHayes Arthur, I’m honestly surprised you’re reading it this way. You’re treating Tether’s $6.8B “reserve surplus” as if it’s their entire equity, it isn’t. A 30% drop in BTC + gold would hit that surplus, yes. And even after that drop, Tether would still hold over $170B in mostly
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The Tether folks are in the early innings of running a massive interest rate trade. How I read this audit is they think the Fed will cut rates which crushes their interest income. In response, they are buying gold and $BTC that should in theory moon as the price of money falls.
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if you are in high school or college, and you are hyper ambitious and don't know where to start, this podcast will explode your world view most peoples outlet, including mine, was to study as much as possible which is obviously not the fastest path to something great
The most capable individuals are learning and shipping 1000x faster using AI. I sat down with Gabriel Petersson (@GabrielPeterss4) - a high school dropout who self-taught Math & ML with AI and is now an AI Researcher at OpenAI. We deep dive into the most important traits to
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All done with my new course on Deep Representation Learning this semester. All lecture slides and video recordings are now available at the book website: https://t.co/5vUuIlDqLr We believe, with the book, they help students clarify basic concepts and principles of Intelligence.
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The single best way to learn neural networks is to build them from scratch. When I was a grad student, there were no good resources for this, and I struggled for weeks: losing my bearings in object-oriented design, endlessly debugging functions involving NumPy array operations
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