bugabtc

Researchers trained a humanoid robot to play tennis using only 5 hours of motion capture data The robot can now sustain multi-shot rallies with human players, hitting balls traveling >15 m/s with a ~90% success rate AlphaGo for every sport is coming

There's a fruit fly walking around right now that was never born. @eonsys just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies do. Nobody taught it to walk. No training data, no gradient descent toward fly-like behavior. This is the opposite of how AI works. They rebuilt the mind from the inside, neuron by neuron, and behavior just... emerged. It's the first time a biological organism has been recreated not by modeling what it does, but by modeling what it is. A human brain is 6 OOM more neurons. That's a scaling problem, something we've gotten very good at solving. So what happens when we have a working copy of the human mind?

An Ostrich Approaches War Risk The overwhelming consensus is that any conflict will be short-lived, with nearly all investors underweight assets that benefit from an extended war environment and modest market moves so far. bobeunlimited.substack.com/p/an-ostrich-a…

It's happening. Expect housing prices to crash up to 60-80%, just like in Japan during the 1990s. Not only are available houses unaffordable, there are too few people to inherit the boomers' houses. The selling pressure is going to be cataclysmic.

The math on this project should mass-humble every AI lab on the planet. 1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output. The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice. Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet. And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.” This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one. We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that. The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.

BREAKING: We've finally figured out what animals are saying. This is next-level insanity.

V Able teď nasazujeme do presales procesu „AI Analyzer“ a funny je, že ukáže návrh ceny za "Visvim level ruční práci" vs. "automated Ralph Lauren level of code at scale"... Rozdíly v náročnosti bývají 4–8x (ještě před měsícem spíš 2–5x) a z prvních věcí v produkci vidíme, že to sedí překvapivě blízko realitě (řádově +-20 %). Zní to bulvárně co...ale je to vlastně docela pragmatický - jde o cca 150 agentů, kteří vezmou brief a udělají první verzi analýzy: scope, architektura, FE/BE breakdown, integrace, rizika, doplňující otázky atd. IRL: - založíme case (jen copy-pastujem JIRA URL / podklady atd.) - analyzer vyplivne presales analýzu + otázky + rizika + návrh řešení To, co dřív dělalo 3–5 lidí, teď zvládnou 2–3 a každý v tom tráví cca 10 % času oproti dřív. Klient je rychleji u technické analýzy a my se dřív přepneme z tvorby PDFek apod. capin do tvorby hodnoty: validace architektury, prototyp, delivery, reálné rozhodnutí. (proces je nastavený tak, že analyzer generuje a tech lead to validuje.) Moje investiční hypotéza tady je Jevons paradox v praxi: Když zlevníš a zrychlíš sw dev, nebude menší poptávka, ale větší poptávka... Low-cost aerolinky nezpůsobily méně létánía, ale boom létání, protože najednou spousta cest „dává smysl“ aka stojí reasonable peníze. To stejné čeká software housy. Ne míň softwaru, ale víc softwaru v ekonomice a to jen vyrobeného rychleji a s menším týmem. Proto lately říkáme Able “AI powerhouse”.

@DompabloMd I also sold at 60+ but I bought Painpall today instead of more NVO😇

@bugabtc Yeah, I only sold half the position around 60 and I just bought back all the shares I sold at 60+.

$NVO "When great technicals meet great fundamentals, great things will happen to those who are patient." - ME (I've just said that... 😅😂)

@DompabloMd So you still long ?

@bugabtc x.com/DompabloMd/sta…

@PrajwalTomar_ @Lovable DECK

I tried using @Lovable to create slides and it ONE-SHOTTED the entire deck for my SaaS. Took my raw notes, structured the outline, added animations, and turned it into clean, designer-level slides without me touching a single thing. If you’re building anything in 2026, learn how to pitch FAST. A good deck opens doors before the product even exists. Comment "DECK" and I’ll send you the full prompt.

@pedma7 @JoachimMo1985 If you would ask AI to do a write down of your infra… what would be the feature list? Would love to see that!

@JoachimMo1985 momo and carry right now. but have others on the pipeline right now. basically spent the last few months just focused on infra scalability and performance. now comes the time to focus on strategy development , which is what I like anyways.

Portfolio performance: January 2026 portfolio: +9.73% btc: -21% altcoins: -26% spent almost 600 hours on the new infra over the last 4/5 months. I feel like I've moved forward more in this time, than the last 2 years put together portfolio is achieving some of the targets I set last year (still early to tell): - beta vs btc: -0.098 - beta vs altcoins: -0.064 - btc max dd: -23% - altcoins max dd: -28% - portfolio max dd: -7% still a lot to do, I am still trading a relatively low pool of truly diversifying strategies, and need to add more. there's a few things to weed out on the current models that I need to think through. big focus on strategy development. I've been spending a lot of time on infra, which is fine, I had to set up all the non-existent processes to be able to handle the scale I want to achieve. but now we need to speed up strategy development. I am failing there. I have said this multiple times and something always comes up that takes priority. a lot to do. just getting started.

@absurdtrader Budete koukat až bude dávat IPO?

Tohle je ballerska firma, ktera mimochodem zacala jako univerzitni spinoff ve Finsku

🤢 Milano ready. Akorát, že vůbec. Naše olympijské outfity jsou už roky ostuda. To, co pravidelně míváme od Alpine Pro, je naprosto tragický. Reprezentace má vypadat jako reprezentace. Vkusně, "clean", světově. A hlavně: sportovní móda NEZNAMENÁ cirkus. Jde to dělat technicky, funkčně a zároveň elegantně. Arc’teryx Veilance, zimní Loro Piana jsou hezký příklady. Takže návrh: @olympijskytym - rád se chopím odřízení návrhů i výroby příštích outfitů. Zdarma samozřejmě. Vybereme dodavatele (kombo Tilak + Jan Société), dáme jim normální budget a zaplatíme dopředu (vezmete současný budget na tu ostudu, přidáte náklady na členy ČOV na pár měsíců a jste tam), nastavíme deadliny, fittingy, výrobu, kontrolu kvality i výstupy. Vám ubude práce s kolekcí do Alpine Pro (byť chápu, že ji tam moc nebylo), sportovci budou mít věci, které si nebudou chtít sundat hned po příletu, a Česko bude vypadat, že má vkus i respekt k vlastní reprezentaci.

the tech is real. one move, one transaction. this can only happen on @megaeth

Video editors and motion designers are cooked. This AI agent made this video in 10mins, only did 2 changes.