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@maximumdegen

Write about AI, space, and lifestyle.

Europa Katılım Mayıs 2021
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maximum@maximumdegen·
#ElonMusk #SpaceX #Tesla #Space #Grok The Incredible Success of These Companies Over the Last 5 Years In just five years, Elon Musk’s companies have delivered what once seemed impossible: SpaceX overtook the entire world in cumulative space launches and achieved the first-ever booster catch with mechanical arms. Starlink became the largest satellite constellation in history with over 12 million users. xAI’s Grok went from zero to one of the most advanced AI models in record time. Neuralink successfully implanted brain-computer interfaces in humans, restoring autonomy to people with paralysis. Tesla scaled production, pushed Full Self-Driving, and unveiled the Optimus humanoid robot. Here’s the full story of 2021–2026 — the most consequential five years in modern technology. Video: SpaceX @SpaceX
maximum@maximumdegen

x.com/i/article/2076…

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maximum@maximumdegen·
The new Starlink Kit V5 model has arrived! SpaceX has introduced an even more compact and efficient terminal: Size: 384 × 306 × 34 mm Weight: only 1.1 kg Power consumption: 35–50 W Speed: up to 375+ Mbps Wi-Fi 6 Router Mini: covers up to 2,200 sq ft (~204 m²) and supports 235 devices simultaneously Smaller, lighter, and more powerful than previous versions. Already available in select U.S. regions, with global rollout coming soon. The perfect solution for remote locations, travel, and backup internet. Who’s already waiting for V5? Video: @Starlink #Starlink #StarlinkV5 #SpaceX
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maximum@maximumdegen·
#SpaceX has filed an application with the FCC for up to 100,000 #Starlink third-generation satellites, according to DataCenterDynamics. Each Gen3 satellite will be capable of delivering 1 Tbps to Earth. This represents a tenfold increase in capabilities compared to the current Gen2 satellites. SpaceX plans to launch the first Gen3 satellites in the second half of 2026.
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maximum@maximumdegen·
The Incredible Starship S39 – The Next Monster Ready for Flight! Next launch of this beast is scheduled for this Thursday. Don’t miss it! Here are the key characteristics of this monster (Block 3 Starship upper stage): Full stack height: 124 m (407 ft) Diameter: 9 m (29.5 ft) Payload to LEO: 100+ tons (fully reusable) / up to 200+ tons (expendable) Propellant: ~1,500–1,600 tons of liquid methane + liquid oxygen Engines (Ship): 3 × Raptor 3 (sea-level) + 3 × Raptor 3 Vacuum Key upgrades in Block 3: improved heat shield, more powerful Raptor 3 engines, enhanced reliability and payload capacity Starship S39 represents the latest evolution of SpaceX’s fully reusable super heavy-lift system — designed for missions to the Moon, Mars, and beyond. Stay tuned — the future of spaceflight is about to take off again! 🚀 #Starship #SpaceX #S39
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maximum@maximumdegen·
@Rossst_03 fact: "be a fox. hold your views loosely, distrust your own confidence, and update the second the evidence turns."
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Rossst.03
Rossst.03@Rossst_03·
Philip Tetlock, Wharton professor who tracked 28,000 expert predictions: "Wall Street pays gurus millions for their market calls. I studied 20 years of expert forecasts and the famous ones were the least accurate of all." the article above is about telling a real edge from luck. tetlock ran the biggest study ever on whether experts can actually predict, and the answer humbles everyone. 284 experts, 28,000 forecasts, 20 years. on average they barely beat chance. and here's the twist: the more famous and confident an expert was, the worse he did. the pundits selling certainty on TV were the least accurate people in the entire study. the reason is simple. the confident "hedgehogs," with one big idea and no doubt, lost badly to the humble "foxes," who held many views and kept updating. certainty was a bug, not a feature. the trading guru with the loud call and the flawless record is tetlock's hedgehog, the confidence that makes him convincing is the exact thing that makes him wrong. he published this decades ago and lays it out in this free lecture. same point as my article: a confident expert with a good record is usually just a lucky one who hasn't been caught yet. here is the edge. be a fox. hold your views loosely, distrust your own confidence, and update the second the evidence turns. the math is free. doubting the expert in your own head is the discipline that actually forecasts.
Rossst.03@Rossst_03

x.com/i/article/2075…

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Deep
Deep@DeepStarts·
full stack developer in 2026 be like:
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maximum@maximumdegen·
GM 😎☀️WORLD 🌎
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maximum@maximumdegen·
@sama how do you prove it?
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maximum@maximumdegen·
It's becoming more transparent now and continues to gain traction.🧐 I just watched someone turn a text prompt into a cinematic video in 4 steps. No film school. No production budget. No team. Here's the exact workflow: Type your idea, ChatGPT Image 2.0 spits out a storyboard frame, drop that frame into Seedance 2.0 as a reference, ask it to make a full video sequence. Done. The storyboard isn't a rough sketch you'd show a client apologetically. It's a cinematic frame with locked composition, lighting, character pose, and camera angle — precise enough to direct an AI video model like a real director would. 430K people read this guide this week. 254 liked it. 52 reshared it. You know why? Because people are realizing the gap between "I have an idea" and "I have a professional video" just collapsed into a single afternoon. ChatGPT Image 2.0 is your pre-production department. Seedance 2.0 is your camera crew. You're the director. $33/month. 4 steps. Cinematic output. The tools are here. The workflow is public. The only question left is what story you're going to tell. 🎬 Video Tik-Tok: benkaluza-tech
Zentrix⌚️@ZentrixHQ

x.com/i/article/2069…

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Axiom
Axiom@AxiomExchange·
🌿HOOD, now on Axiom. $100k, first come first serve!
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maximum@maximumdegen·
@cipgerx I'm amazed by such possibilities; I couldn't even imagine such a thing before...
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Cip⚡️@cipgerx·
One prompt just dropped an angel straight from the sky Not a beauty shot Not a character test A full opening scene She falls through the clouds, crashes into the sand. People rush toward her The camera stays tight Her white wings spread open.Then the whole mood flips Dark wings Horns Black eyes One clean cut from miracle to threat.That’s why it feels bigger than just a clip The prompt isn’t just creating a character — it’s carrying the entire sequence: fall → impact → discovery → transformation → danger Tomorrow I’ll break down the full prompt stack behind this scene (fall → impact → reveal) Follow if you want the build sheet when I drop it
Nexlow@NexlowX

x.com/i/article/2073…

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maximum@maximumdegen·
Time to read history🥸🧐: Jump Trading pays quants $650K a year to do one thing. Pull a real signal out of market noise. The MIT professor who wrote the textbook on exactly that math taught it for free in 1987. Every lecture is still online. Almost nobody who sells you a trading course will ever mention his name. Here's the uncomfortable truth this article lands on: The AI trading revolution you think is happening right now? It was solved in 1988. In a quiet office on Long Island. By a former codebreaker and a small group of mathematicians who were doing machine learning decades before the phrase meant anything to anyone. Jim Simons didn't discover a secret formula. He understood one thing nobody else was willing to sit with long enough: A price chart is a signal buried in noise. Most of what you see is random static. Hidden inside is a faint, repeating pattern — and there is real mathematics for pulling it out. He learned it breaking enemy transmissions. Then pointed the same math at the market and made a hundred billion dollars. The edge was never secret. It was never exclusive. The filter is free. The patience to trust a faint signal across thousands of trades instead of chasing the static — that's what nobody sells you. Because it doesn't make a good Instagram ad. You're not early to AI trading. You're 37 years late. And somehow that's the most freeing thing you'll read today.
Rossst.03@Rossst_03

Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.

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maximum@maximumdegen·
@_bolivian this is awesome! Someday I'll be so lucky too....
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bolivian@_bolivian·
These are the kids you are trading against 150 $SOL profit on a $60k topper
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exsasgeneration
exsasgeneration@exsasgeneration·
I have to be prepared🤣😎
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maximum@maximumdegen·
@ZentrixHQ This is actually wild when you think about it. We spent the last two years switching between 4 different tabs just to finish one piece of content. Claude for research. ChatGPT for images. Seedance for video. Some other tool for editing. Now it's all in one chat windows.
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Zentrix⌚️
Zentrix⌚️@ZentrixHQ·
THIS PLATFORM GIVES FREE ACCESS TO CLAUDE OPUS, GPT-5.5, AND SEEDANCE 2.0 Free doesn't mean limited here, it means unlaunched pricing. ▪ Reasoning and coding access to Claude Opus 4.8 and GPT-5.5 side by side, switchable per task ▪ GPT Image 2 generates four images per prompt at full quality, no watermark ▪ Seedance 2.0 handles the video layer, now rendering up to 4K ▪ Entire workflow — research, prompt, image, video — happens inside one chat, no jumping between tools ▪ Free trial runs on Google sign-in alone, no card required to start testing ▪ Once trial credits run out, the platform prompts for paid credits to continue The real story here isn't that the tools are free — it's that this is the first time reasoning, image, and video all live inside one chat window with no switching between platforms. That drop in friction is what makes it worth testing now, while free access still holds. Thank you "Malva AI" for sharing this information with us.
Zentrix⌚️@ZentrixHQ

x.com/i/article/2069…

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maximum@maximumdegen·
@OpenAI You made a new game similar to Pac-Man? ☺️
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OpenAI@OpenAI·
Today. 10am PT.
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