bparlan 🦇🔊

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bparlan 🦇🔊

bparlan 🦇🔊

@bparlan

Tech consultant & anarchist technologist exploring network society theory, blockchain infrastructure, and AI systems. @BariaDAO founder

earth Katılım Mart 2009
3.6K Takip Edilen2.4K Takipçiler
bparlan 🦇🔊
bparlan 🦇🔊@bparlan·
@AlexTselegidis honestly had a lot of difficulties regarding calendar sync - mail sending etc. expecting 1.6 yet using existing version as it is. will hack on 1.6 after your release ✌️
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bparlan 🦇🔊
bparlan 🦇🔊@bparlan·
hey there @AlexTselegidis I use Easy!Appointment - and planning to contribute with my minor soft-dev skills that I am trying to practice and learn more. I spent my past 3-4 years as tech consultant on appointment management focused project, learned a lot along Amelia and all other plugins around. Here for power of opensource!
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Diken
Diken@DikenComTr·
Merkez Bankası Başkanı Fatih Karahan 'para'yı anlattı: ❝Hayatımızda her gün kullandığımız parayı gerçekten ne kadar iyi tanıyoruz? Paranın nasıl çalıştığını, değerini neyin belirlediğini ve enflasyonun hayatımızı nasıl etkilediğini yeterince düşünmeyebiliyoruz.❞
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CoinDelisi Ω
CoinDelisi Ω@CoinDelisi·
al işte, olaya bakın. yıllarca insanlar sokak sokak dolaşıp Pokemon avladı. telefonları ellerinde, parkta, caddede, meydanda… oyuncular farkında olmadan 30 milyardan fazla gerçek dünya taraması oluşturmuş. evet, milyar. telefon kameralarıyla yapılan bu taramalar sayesinde şehirlerin sokakları, kaldırımlar, binalar, parklar… hepsi dev bir veri setine dönüştü. ve şimdi o veri ne için kullanılıyor biliyor musunuz? otonom teslimat robotlarının şehirlerde yol bulabilmesi için. yani yıllarca insanlar “pokemon yakalıyorum” sanıyordu. ama aslında şehirleri robotlar için haritalıyorlarmış. 😅
NewsForce@Newsforce

POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce

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bparlan 🦇🔊
bparlan 🦇🔊@bparlan·
@drmervekaratas böyle 10 bin yıl öncesinden diycem yine olmayacak, ben de 'devlet' dediğime şaşıyorum ya neyse, cebimizdeki taşımak zorunda olduğumuz kimliklerden kalma diyim.
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Merve Karataş
Merve Karataş@drmervekaratas·
@bparlan "Devlet dediğin kamu ortak faydası odaklıydı." Kaynak: Gluteus maximus.
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dev@zivdotcat·
POV: A guy with ChatGPT and Google AlphaFold just built a custom mRNA cancer vaccine to save his dog. this story is actually insane. a tech guy in australia adopted a rescue dog with aggressive cancer and only months to live. so he did something wild: > paid ~$3k to sequence the tumor dna > used chatgpt to analyze the mutations > used google’s alphafold to model the proteins > identified drug targets and designed a custom mRNA cancer vaccine he had zero background in biology. after months of paperwork, the vaccine was approved and injected. within weeks the tumor shrank dramatically and the dog started recovering. meanwhile pharma companies are running $1B trials to do the exact same thing. the future of personalized medicine with AI is going to be insane.
vittorio@IterIntellectus

this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get

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Kaito | 海斗
Kaito | 海斗@_kaitodev·
5 minutes ago, @karpathy just dropped karpathy/jobs! he scraped every job in the US economy (342 occupations from BLS), scored each one's AI exposure 0-10 using an LLM, and visualized it as a treemap. if your whole job happens on a screen you're cooked. average score across all jobs is 5.3/10. software devs: 8-9. roofers: 0-1. medical transcriptionists: 10/10 💀 karpathy.ai/jobs
Kaito | 海斗 tweet media
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bparlan 🦇🔊
bparlan 🦇🔊@bparlan·
Devlet dediğin bireye hizmet efendi, sosyal kurum idi, kamu ortak faydası odaklıydı. Şirketler ve seçilmemiş elitler sayesinde halk elit besliyor son 100 yıldır, çok şükür kapitalizm en iyisiymiş gibi. Geldiğimiz nokta pedofillerin milyar-dolarlık savaşları. #DeFi4Public
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Coin Bureau
Coin Bureau@coinbureau·
🚨THE 50M AAVE SWAP MAY TRACE BACK TO A WHALE LookOnChain says the trader who swapped 50.43M aEthUSDT for just 327 aEthAAVE ($36K) may be Garrett Jin. On-chain tracing links 13 wallets funded from Binance (Feb 16–20) that later funneled funds into two new wallets, one reportedly sharing a Binance deposit address tied to Jin.
Coin Bureau tweet mediaCoin Bureau tweet media
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