van gogh

254 posts

van gogh

van gogh

@legardevier

Si vis pacem, para bellum

Katılım Kasım 2023
77 Takip Edilen1 Takipçiler
....
....@hardzelnat·
Hi, adakah yg mau temenen sama aku? Kebetulan aku friendless☝🏻
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Dan The Guy
Dan The Guy@wordgenic·
ada 1 AI lagi yang jago buat riset kompetitor sama bikin report... agak niche model-nya, tapi komen aja kalo ada yang mau tau. soalnya rada gue gatekeep sebagai advantage 😂 waktu dulu kerja di agensi, kepake banget ini tools buat tracking tren + benchmarking
satyaxbt@satyaXBT

Banyak orang masih pake AI random, padahal tiap tool punya lane-nya masing-masing. Ini 5 AI yang paling banyak dipake, dan kapan lu harus pake yang mana: 1. Chatgpt (master of... lumayan) si paling serba bisa. ini pintu masuk mayoritas orang karena ekosistemnya udah mateng banget. - paling pas buat task general, nulis email ringan, nyari ide, atau generate gambar. - minusnya: buat nulis panjang atau mikir dalem, hasilnya masih kalah dari claude. 2. Claude temen mikir yang paling natural. gaya nulis dan logikanya kerasa paling oke. - jago banget buat nulis panjang, bedah dokumen kompleks, sampe ngoding. - minusnya: bukan pilihan pertama kalo lu butuh narik data real-time dari internet. 3. Gemini raja ekosistem google. kalo tiap hari lu buka docs, sheets, atau drive, integrasinya paling bagus di sini. - kuat di riset langsung dari google search dan gampang nerima input visual atau audio. - minusnya: gaya bahasa dan responnya kadang masih kerasa kaku dibanding kompetitor. 4. Perplexity bukan AI untuk nulis atau ngoding, ini bukan ai buat nulis, tapi buat nyari tau fakta dengan cepet dan akurat. - andalan buat riset real-time, cek fakta, dan ngasih sumber link yang jelas. - minusnya: kurang dalem buat ngolah informasi, dia murni buat nyajiin data. 5. Grok si paling unfiltered. keunggulan utamanya ada di akses langsung ke data timeline x. - wajib buat mantau sentimen market, nyari tren awal, atau nanya hal yang ai lain nolak jawab. - minusnya: kemampuan nulisnya masih di bawah rata-rata. datanya dari timeline juga kadang terlalu berisik. Cheat sheet simpelnya: ‣ writing & analisis, code = Claude ‣ general purpose= ChatGPT ‣ riset real-time = Perplexity ‣ Google ecosystem = Gemini ‣ sentimen market crypto & web3= Grok orang yang produktif itu bukan yang setia sama satu tool. tapi yang tau kapan harus ganti.

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Hugging Models
Hugging Models@HuggingModels·
Meet the Indonesian sentiment specialist. This RoBERTa model is fine-tuned specifically for Indonesian text classification. It's a game-changer for understanding sentiment in Southeast Asia's largest digital market.
Hugging Models tweet media
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Naruto
Naruto@NarutoNolimits·
You can do anything you want. You are bound by nothing.
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SobatMiskinTV
SobatMiskinTV@MiskinTV_·
Prabowo ketika mencoba menjadi penengah di konflik Timur Tengah:
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Jaynit
Jaynit@jaynitx·
Bill Ackman lost $4 billion. His shareholders sued. His wife left. He explained the mindset that helped him make a $9.3 billion comeback:
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Compound248 💰
Compound248 💰@compound248·
Druck used to puke “once or twice a week from anxiety” during drawdowns and had “imposter syndrome” for at least 15 years running Duquesne. His advice to those suffering like that? Get over it. 🤔 ✍️ 👌
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Suryansh Tiwari
Suryansh Tiwari@Suryanshti777·
This is insane 😳 Most people are just using AI tools Very few actually understand how they work So I collected Stanford’s complete LLM curriculum and turned it into a step-by-step learning path Worth over $500 Giving it away free for the first 4,500 people Transformers → Training → Alignment → Agents → Evaluation Study this once and you’ll stop guessing with prompts and start thinking like a real AI engineer How to get it: Follow must (so i can dm you) Rt and comment 'LLM'
Suryansh Tiwari tweet media
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Eli5DeFi
Eli5DeFi@Eli5defi·
Your Toilet and Your Ramen Are Powering the AI Boom The company that makes your MSG also makes the critical material inside every single NVIDIA chip. I wish this were a metaphor. It’s not. This is the actual, unglamorous semiconductor supply chain that everyone is overlooking while throwing billions at software startups. Let's talk about it. — ➠ Ajinomoto: Sprinkling Umami on the Tech Sector Ajinomoto owns roughly 98% of the insulating foundation inside every high-performance AI chip. Inside chip packaging, there is a micrometer-thin insulating layer called Ajinomoto Build-up Film (ABF) that separates copper traces. Without it, your $40,000 chip essentially short-circuits or melts into an expensive puddle under thermal stress. Intel uses it. NVIDIA uses it. AMD uses it. How did this happen? Back in the 1970s, Ajinomoto researchers were staring at a chlorinated byproduct from their MSG production and thought, "What if we mixed this with epoxy resins?" The result was a freak of chemistry: it had massive electrical resistance and exceptional heat tolerance. By 1999, it was commercialized as ABF. An accidental polymer from a seasoning factory is now the literal foundation of modern AI. The moat is basically impenetrable. Tech giants have funded competitors to try and break the monopoly, but it turns out that decades of soup-factory polymer science is hard to replicate. Qualification cycles take up to two years, and even then, you're just trying to match a standard Ajinomoto perfected when we were still using dial-up internet. — ➠ Toto: From High-Tech Bidets to High-Tech Chips Toto makes toilets. Toto also makes the ceramic platforms that hold silicon wafers during AI chip etching. During semiconductor fabrication, silicon wafers have to be held perfectly still while being blasted with high-heat plasma. The tool for this is an "electrostatic chuck," which clamps the wafer using electric fields in a vacuum at extreme temperatures. Enter Toto. Yes, that Toto. They manufacture these chucks using fine ceramics, the exact same material science behind their world-class bathroom products. Their proprietary Aerosol Deposition (AD) process applies a dense yttria (Y₂O₃) film that flexes on metal components in two ways: It survives plasma erosion: So the multi-million-dollar tools last longer. It reduces particle contamination: When you are printing circuits at nanoscopic scales, one stray speck of dust ruins the whole chip. Who better to keep things impeccably clean than the kings of the Japanese bidet? Wall Street is finally catching onto the joke. Activist investors and Goldman Sachs analysts have both flagged Toto as a massively undervalued AI infrastructure play. T heir semiconductor ceramics segment made up roughly 42% of their operating income heading into 2025. The market is officially re-rating them from "consumer staple" to "AI infrastructure", they just had to look past the bathroom branding. — ➠ Japan's Tech Strategy: Raid the Bathroom Cabinet This is a full ecosystem story. Japan's "Great Material Pivot" basically sounds like a grocery run: ❶ Nippon Electric Glass: Shipping samples of 510mm glass substrates by 2026. Because AI chips are getting so hot that plastic is failing, they're pivoting to high-tech glass. ❷ Sumitomo Bakelite: Holds a 40% global market share in epoxy resin used to encapsulate chips, expanding their plants just to keep up with the AI gold rush. ❸ Kao Corporation: The soap company! They are out here supplying specialized wafer cleaning agents to optimize chip yields. Because cleanliness is next to godliness, especially in semiconductors. A century-old Japanese manufacturer solves a household annoyance, realizes the exact same chemistry works for quantum-level tech, and quietly becomes the backbone of global computing. Casual. The global semiconductor ceramic market is projected to hit 1.6 trillion yen by 2030. The drivers? Meta, Google, and Amazon aggressively building out data centers full of hardware resting comfortably on toilet ceramics. — ➠ The Real Takeaway The AI boom isn't just magic algorithms floating in the cloud; it has a very physical, very weird substrate. Yes, not all about new LLMs model or Seedance New IP Abuse Video. Every NVIDIA H100 churning out AI responses right now is sweating on a porcelain tile, wrapped in MSG. That supply chain is highly concentrated, nearly impossible to replicate, and totally invisible to the people building apps on top of it. This is the part of the AI trade that everyone misses when arguing about which frontier model will win. The "picks and shovels" of this gold rush aren't just TSMC and ASML, they are Osaka chemistry labs and ceramics factories that predate the microchip by decades. So the next time an AI demo blows your mind, just remember: the only reason the whole thing doesn't explode is because of soup byproducts and a toilet manufacturer.
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Mac Karyo
Mac Karyo@Makaryo0·
Top tier sertifikasi keuangan untuk bantu karirmu. Jumlah lulusan S1 makin banyak tiap tahunnya, di 2019 tercatat sebanyak 1juta lulusan S1 baru, jumlahnya naik jadi 1,3juta di 2023. Selain cari koneksi melalui magang, sertifikasi juga bakal bantu kita lebih menonjol dibanding fresh graduate lain. CFA -Gold standart dari sertifikasi finansial, topik utama: Portfolio management, securities analysis, ethics, economics, financial accounting. -Terdiri dari 3 level, per level estimasi minimal belajar 300jam. -Biaya per level US$1,140-1,590 ( Rp 20 juta an), kalo ga lulus bayar lagi. -Persentase kelulusan per level 22%-56% FRM -Lebih berfokus ke quant, topik utama: ​Risk modelling, market risk, credit risk, investment management risk, operational and integrated risk. -Terdiri dari 2 bagian, persentase lulus part 1 40-50%, part 2 50-60% -Biaya US$400 enrolment fee plus US$600-800 per paper.
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hinata
hinata@HinataMotivates·
This upcoming AI documentary is drawing huge attention ahead of its theatrical release as "The most urgent film of our time."
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Stellar Rippler🚀
Stellar Rippler🚀@Stellar_Rippler·
🚨 Ray Dalio Just Signalled That The Trump Family Is Working With Ripple For Rewriting the Entire Banking And Financial System He said: “There will be no privacy, a very effective government control mechanism. They can tax instantly, take your money, impose forex controls… and if you’re politically disfavored, you could be shut off.” Who was Shut off from banking? Eric Trump. This is exactly why Brad Garlinghouse has been meeting Donald and Eric Trump. At the same time, Ripple is building zk-privacy infrastructure on XRPL where Monica Long described Digital Identity on XRPL as “identity stored in a token, without revealing private data.” And who is building the zk-credential and identity layer on XRPL? @DNAOnChain storing identity on XDNA with zk-privacy. Epstein Files revealed that Epstein funded ZCash to get “control over the keys” which was marketed as private money since Bitcoin was incapable of identity and privacy layer. At the same time, Gary Gensler who was meeting Epstein sued Ripple while giving an MIT Lecture on “Digitial Identity on Blockchain.” Coincidence? Trump and Brad Garlinghouse are working together: Trump said that the Clarity Act will give our dying banking system a 21st century upgrade using crypto technology and Brad Garlinghouse at XRP Las Vegas said, “We’re rewriting the entire banking system.” Ripple is clearly building the New Banking and Financial System.
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txtdaricinecrib
txtdaricinecrib@cinecrib_·
Dan calon runner up iklan ramadan absolute cinema terbaik tahun ini adalah...
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Feyber | Learn AI
Feyber | Learn AI@woleswoosh·
Daripada lu nonton drama knetz vs Seatizen. Tonton ini aja! Orang ini: Ray dailo memberikan kursus cara membuat kita menjadi kaya selama 39 menit saja. x.com/_Investinq/sta…
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