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Cemil Şinasi Türün Jetwell.eth

Cemil Şinasi Türün Jetwell.eth

@Jetwell

Innovation Citizen; R&D on tech+culture+society+industry; Crypto & blockchain course since 2017 @UniBogazici. Book: Rock, Paper, Scissors (in Turkish).

Istanbul Katılım Şubat 2009
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Andrej Karpathy
Andrej Karpathy@karpathy·
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Terence Tao says the math behind today’s LLMs is actually simple. Training and running them mostly uses linear algebra, matrix multiplication, and a bit of calculus, material an undergraduate can handle. We understand how to build and operate these models. The real mystery is why they work so well on some tasks and fail on others, and why we cannot predict that in advance. We lack good rules for forecasting performance across tasks, so progress is largely empirical. A key reason is the nature of real-world data. Pure noise is well understood, perfectly structured data is well understood, but natural text sits in between, partly structured and partly random. Mathematics for that middle regime is thin, similar to how physics struggles at meso-scales between atoms and continua. Because of this gap, we can describe the mechanisms but cannot yet explain capability jumps or give reliable task-level predictions. That mismatch, simple machinery versus hard-to-predict behavior, is the core puzzle. ---- Video from 'Dr Brian Keating' YT Channel (Link in comment)
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Mehmet Tülüce
Mehmet Tülüce@mehmettuluce51·
Şirketlerin zehirlerine, tonlarca kimyasala ve toprağı altüst eden traktörlere ihtiyaç duymayan bir dünya var. Ormanı taklit eden Gıda Ormanım 5 yaşında! ( 2. Doğal tarım bahçemiz ) 600 zeytin, 700 nar, 400 kök üzüm, muhtelif meyveler ve meyvesiz ağaçlar bir arada, kardeşçe büyüyor. Can damarımız Yağmur Suyu Hasat Gölümüz, kalbi ise 5 kovan arımız. Böcek yönetiminden sorumlu doğal işçilerimiz ise tavuklar ve ördekler! Traktör girmiyor, zehir sıkılmıyor. Doğayla savaşmayı bıraktığınızda hayat can buluyor. #GıdaOrmanı
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Stellar Rippler🚀
Stellar Rippler🚀@Stellar_Rippler·
🚨🤯 A New Financial System Is Being Built On Blockchain For China, Russia and the U.S. To Trade Directly Russian FM Lavrov just confessed that they need an independent cross-border system that is not controlled by any party and can also absorb external shocks, which the “dollar system” is significantly failing at. He also added that Russia and China were never against trade with the U.S. but the Dollar and SWIFT system were weaponized against them. China, Russia, India, Middle East partners, Japan, and beyond are actively exploring deeper financial integration: a neutral, decentralized system powered by blockchain technology, that can trade oil and commerce without any restrictions. They said, “Stablecoins will not be used.” Why? Recent events highlight the risks: Over $1B in USDT was frozen due to alleged Iran, Russia and China links, showing even stablecoins can face sudden restrictions. BRICS nations are seeking a truly neutral settlement asset, one that can connect economies East and West without single-point control. Meanwhile, China just approved fresh trades with the U.S. Russia has stated it has no issue trading with America. Everyone wants commerce to flow but history shows payment rails can become tools in geopolitical tensions. What BRICS said: A multipolar, blockchain-enabled neutral infrastructure could be the bridge that binds global trade in the 21st century. The pieces are moving. The future of settlement is being written in code. What truly decentralized asset or blockchain comes to your mind?👇
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Cemil Şinasi Türün Jetwell.eth
Tıpkı bizim hayvanat bahçelerinde hayvanların doğal ortamlarını (kayalar, ağaçlar) taklit etmeye çalışmamız gibi, bu varlıklar da Dave'in rahat etmesi için "Dünyevi" bir ortam yaratmışlardır. Kusurlu Kopya: Odanın 18. yüzyıl Fransız mimarisini andıran tarzı, uzaylıların Dünya kültürünü televizyon yayınları üzerinden eksik veya yanlış anlamasına dayanır. Bu yüzden oda hem tanıdık hem de steril ve tuhaf bir yapaylıktadır. 2. Zamanın Göreliği ve Hayat Döngüsü Dave'in odada kendini farklı yaşlarda görmesi (orta yaşlı, yaşlı ve ölmek üzereyken), zamanın bu boyutta doğrusal olmadığını simgeler. Hızlandırılmış Yaşam: Dave, bu odada aslında tüm ömrünü geçirir ancak bu süreç izleyiciye dakikalar içinde sunulur. Bu, insanın evrensel ölçekte ne kadar kısa ömürlü olduğunu ve varoluşun bir göz kırpması kadar sürdüğünü anlatır. 3. Evrimsel Bir Kuluçka Merkezi Oda sadece bir hapis alanı değil, aynı zamanda bir geçiş bölgesidir. Dave'in fiziksel bedeni bu odada yaşlanıp ölürken, bilinci Monolit aracılığıyla bir sonraki evrimsel basamağa hazırlanır. Yıldız Çocuk (Star Child): Dave'in yatakta can çekişirken Monolit'e dokunması, insanlığın fiziksel sınırlarını aşarak bir "enerji varlığına" veya süper-insana dönüşümünü temsil eder. Son sahnede görülen dev cenin (Yıldız Çocuk), insanlığın evrendeki yeni "bebeklik" evresini simgeler. 4. Bilinç ve Aydınlanma Filmin başındaki maymunların kemiği kullanarak araç yapmayı öğrenmesi (ilk evrimsel sıçrama) nasıl Monolit ile olduysa, Dave'in bu odadaki ölümü ve yeniden doğuşu da ikinci büyük sıçramayı temsil eder. İnsan artık teknolojiye veya bir bedene ihtiyaç duymayan, evreni doğrudan deneyimleyebilen bir bilince dönüşmüştür
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2001 Uzay Yolu Macerası (2001: A Space Odyssey) filminin sonu ile alakalı dört teori varmış: 1. Kozmik Hayvanat Bahçesi Yönetmen Kubrick, 1980 yılındaki bir röportajında bu odanın, Dave'i yakalayan tanrısal ve saf enerji formundaki varlıklar tarafından inşa edilmiş bir "insan kafesi" olduğunu belirtmiştir.
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Roy🇨🇦
Roy🇨🇦@GrandpaRoy2·
A kit available on the internet turns an ordinary paper airplane made from a sheet of A4 paper into a real mini-drone. I can’t help looking at this whimsical little thing and picturing how it could be scaled up and weaponized for use in Ukraine.
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Ihtesham Ali
Ihtesham Ali@ihtesham2005·
A Stanford neuroscientist published a paper a few years ago that quietly answered one of the oldest questions in human history, and almost nobody outside his field has heard of it. The question is why we dream. Not what dreams mean. Why they exist at all. Why your brain spends a third of its sleep hallucinating images instead of just resting like every other organ in your body. His name is David Eagleman. He runs a lab at Stanford. The paper is called "The Defensive Activation Theory", and the moment you read it the explanation collapses every other theory you have ever been taught about dreams. Freud said dreams were repressed desires. He was guessing. He had no brain scans. He had no electrodes. He had a couch and a notebook and a century of credibility that nobody has been able to fully scrub off the subject since. Modern neuroscience replaced him with the memory "consolidation theory". The idea that dreams are your brain sorting through the day, filing things away, deciding what to keep. That story is partially true. Sleep does consolidate memory. But it does not explain the single strangest thing about dreams, which is that they are almost entirely visual. You do not dream in pure sound. You do not dream in taste. You do not dream in smell. You dream in pictures. Vivid, detailed, often impossible pictures that activate the back of your brain so hard a scientist scanning you would think your eyes were wide open. Eagleman started from one fact almost nobody outside neuroscience knows. The brain is territorial. Every region holds its turf through constant electrical activity. The moment a region goes quiet, its neighbors start invading. They take the silent territory and reassign it to themselves. This is called "cortical takeover", and it is not slow. It is not a long process measured in years. In experiments where adults are blindfolded, the visual cortex starts processing touch and sound within an hour. One hour of darkness, and the territory is already being annexed. In congenitally blind people, the visual cortex is fully repurposed. It runs language. It runs hearing. It runs touch. The hardware never went unused. It was just reassigned to whoever showed up first. Now sit with the implication of that for a second. Every night, when you close your eyes and fall asleep, the sun has set. The planet has rotated. The visual cortex, which takes up roughly a third of your entire cortex, is suddenly receiving zero input. For eight hours. Every single night. For your entire life. And evolution has shaped your brain inside a planet that has been spinning into darkness for billions of years. If cortical takeover happens in an hour, the visual cortex should have been lost a long time ago. Stolen by hearing. Stolen by touch. Reassigned by morning. Humans should have evolved into a species whose vision works fine during the day and then degrades every time the sun goes down because the territory keeps getting renegotiated overnight. But that did not happen. Vision works the moment you open your eyes. Which means something is defending the territory while you sleep. Eagleman's claim is that dreams are that defense. Every 90 minutes through the night, a precise burst of activity fires from the brainstem into the visual cortex. Pontine-geniculate-occipital waves. PGO for short. They are anatomically aimed. They are not general arousal. They are a targeted volley of signal launched directly at the back of the brain where vision lives. The cortex lights up as if it is receiving real images, and you experience that artificial activation as a dream. The bizarre narrative your conscious mind invents around it later is just your brain trying to make sense of the noise. The dream is not the point. The dream is the side effect. The point is keeping the territory occupied. The evidence for this is the part that should haunt you. Newborns spend roughly 50% of their sleep in REM. Adults spend twenty. Old adults spend fifteen. The amount of dreaming you do tracks almost perfectly with how plastic your brain is. Newborns have the most plastic brains on earth. Their visual cortex is in the highest danger of being overrun by neighboring senses while it develops. So evolution gave them an enormous defense budget. As you age, your brain becomes less plastic, the takeover risk drops, and the defense system scales down accordingly. Eagleman and his co-author ran the same correlation across twenty-five primate species. The more plastic a species' brain, the higher the proportion of REM sleep. The relationship held across the entire primate family tree. Plasticity and dreaming move together. They are two halves of the same evolutionary equation. A species that ranks higher on flexibility and learning also dreams more. A species that is born ready to walk and survive dreams less. Plasticity is the asset. Dreaming is the insurance premium. And the prediction the theory makes is the one that quietly closes the case. Of all your senses, only one is disadvantaged by darkness. You can still hear in the dark. You can still feel in the dark. You can still smelll and taste in the dark. The only sense that depends on light is vision. Which is exactly the sense your dreams are made of. The defense system is targeted at the only territory that is actually vulnerable while you sleep. Memory consolidation is real. Emotional processing is real. Your brain does do those things at night. But Eagleman's argument is that those functions piggyback on a much older system whose original job was simpler and more brutal. Keep the lights on inside the visual cortex while the planet is dark, or lose it. For thousands of years, people have asked what dreams mean. Prophets wrote about them. Poets wrote about them. Freud built a discipline on them. None of them had access to the actual answer, which is that dreams may not mean anything in the symbolic sense at all. They may be the visible flicker of a defense system running in the background, the way a screen saver protects a monitor by keeping the pixels moving even when nobody is looking. The strangest thing about the theory is how cleanly it explains why dreams feel so real. Your visual cortex cannot tell the difference between a PGO wave and an actual photon. It is the same hardware lighting up the same way. The cortex does its job. It builds an image. Your conscious mind, half-awake, wraps a story around it and calls it a dream. You are not seeing your subconscious tonight. You are watching your brain defend a piece of itself from being stolen. Every animal that has ever closed its eyes on this planet has done the same thing.
Ihtesham Ali tweet media
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Ahmet
Ahmet@AhmetBeyefendi·
💭 Benim “hırsızların yönettiği ve çoğunlukta olduğu yerde hırsız olmazsan ortalama üstü hayat standardı elde etmen çok zorlaşır” tezimin başka bir versiyonu eğitim dünyasında yaşanıyor. ChatGPT kullanılmaya başladığından beri “A” alan öğrenci sayısı çok arttı. Sınavlarda, ödevlerde yapay zeka ile kopya çekenler arttıkça çekmeyenler görece düşük not alıyorlar ve -iyi, yaratıcı, çalışkan öğrenciler olsalar da- iyi üniversitelere girme, iyi graduate okullarına devam etme ya da gözde iş pozisyonların yerleşme şansları çok azalıyor.
FXHedge@Fxhedgers

'A' GRADES ARE SUDDENLY EVERYWHERE SINCE THE ARRIVAL OF CHATGPT AI is making “A” grades easier to come by, a new study shows—and making them less useful to employers trying to size up college graduates. The share of A’s in college classes heavy on writing and coding—in other words, work more prone to artificial-intelligence use—has grown more significantly than in other classes since ChatGPT’s debut, according to a paper from the University of California, Berkeley, released Wednesday. Professors teaching AI-exposed classes gave out about 30% more A’s and fewer A-minus and B-plus grades. The results suggest that students have relied on generative AI to do better in their studies, not that these classes of students are learning more, says Igor Chirikov, a senior researcher at Berkeley’s Center for Studies in Higher Education and the paper’s author. Full article: msn.com/en-us/money/ca…

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Dr. Işıl Acehan
Dr. Işıl Acehan@IsilAcehan·
Trump’ın Çin’deki devlet yemeğinde yaptığı konuşmayı biraz önce dinledim. Açık söyleyeyim, şu ana kadar ondan duyduğum en “devlet adamı” profilli ve en stratejik konuşmalarından biriydi! O bildiğimiz metin dışına çıkan, doğaçlama sert çıkışlar yapan Trump gitmiş, yerine her kelimesi üzerinde çalışılmış, son derece kontrollü ve diplomatik bir lider gelmişti. Adeta bir kamu diplomasisi dersi gibiydi. Özellikle Washington Anıtı'ndaki hediye meşhur Çin taşından bahsetmesi (Sultan Abdülmecid de aynı dönemde bir mermer levha hediye etmişti), hikâyeyi Amerika’nın kuruluş yıllarına ve ilk konsolos Samuel Shaw’a kadar bağlaması oldukça güçlü bir hamleydi. Konuşmayı hazırlayan ekip, pozitif tarihsel anlatıları iki güç arasındaki gerilimi yumuşatacak psikolojik bir zemin kurmak için oldukça başarılı kullanmış! 👏 Çin’i yalnızca stratejik bir rakip olarak değil, saygı duyulması gereken büyük bir medeniyet olarak konumlandırması da dikkat çekiciydi. Diplomasi sadece çıkar ve ticaret diliyle işlemez. Bazen doğru seçilmiş bir sembol, onlarca teknik rapordan daha etkili olabilir. Trump’ın bu alışılmadık derecede sakin ve derinlikli tavrı, Çin ile daha kontrollü ve pozitif bir dönemin kapısını aralamak istediğinin oldukça net bir işaretiydi... ✍️🇨🇳🇺🇸
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Ben Fransızca "meme chose" daki aynı anlamındaki kelimeyi almıştım. Dawkins'in "meme" kelimesi ise miim diye okunuyormuş, sonradan öğrendim.
DeFi Tsunami@DefiTsunami

@Jetwell Elinize sağlık. Mem kelimesi Dawkins meme'i tekrar tanımlamadan önce Türkçe'de var mıydı yoksa siz mime - meme'i mem olarak mı almıştınız?

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Merriam-Webster
Merriam-Webster@MerriamWebster·
You may have noticed that the word for ‘night’ in many languages appears to be that language’s word for ‘eight’ with an ‘N' in front of it. English: N + eight = Night German: N + acht = Nacht French: N + huit = Nuit Spanish: N + ocho = Noche Italian: N + otto = Notte Portuguese: N + oito = Noite ⬇️
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