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Replying to @beffjezos
Graphics processors are not the optimum for AI. They get used because that's what we have that is readily available.
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Shreyas retweeted
🇮🇳needs to just "Keep Calm & Carry on". Unlike 1980s & 90s when 🌎 was developing DRAM, processors & internet & 🇮🇳 was nowhere in the race, this time 🇮🇳 is working on all elements- AI models, GPUs, etc. We might not be cutting edge but 🇮🇳 is in the race & that matters in long run
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…
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23. The Ultimate Bypass (Make It a Dumb TV) The Best Buy installer finished toggling the settings. He put the remote down on the counter. The TV was running three times faster than it was five minutes ago. But he leaned in with one final piece of brutal honesty. "TV manufacturers actually sell the physical TV hardware at a massive loss. They only make their profit by selling all that tracking data we just turned off. Because of that business model, the internal processors are inherently cheap garbage." "If you want zero lag forever? Do exactly this." "First, factory reset your entire TV." "Second, when you are setting it up again, DO NOT connect it to your Wi-Fi. Skip that step entirely." "Third, buy a $30 Roku stick or a $130 Apple TV. Plug it into HDMI 1." "Let the TV just be a beautiful, dumb screen. Let the dedicated streaming box do all the actual thinking. That setup will easily last you ten solid years without a single dropped frame."
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18. Heavy UI Animations (The Developer Hack) What it does: When you open an app or return to the home screen, the TV plays a smooth, fading, sliding visual animation to make the menu look modern and slick. Why it kills performance: These incredibly cheap TV processors struggle immensely to render smooth 60fps animations. The TV actually forces you to wait for the animation to completely finish before letting you click the next button. It creates an artificial delay that makes everything feel remarkably sluggish. How to fix it (Android and Google TVs only): Go to Settings → About. Click the Build number 7 times to unlock the hidden Developer Options. Go back, open Developer Options, and change "Window animation scale" along with "Transition animation scale" and "Animator duration scale" from 1x down to 0.5x or turn them completely OFF. It makes the TV feel instantly snappy.
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Quip’s compute layer feels different because it creates competition between hardware types. CPUs, GPUs, and quantum processors can all be evaluated through useful optimization work ⚙️ That makes performance less about claims and more about measurable output under shared rules. Benchmarking is where the narrative gets disciplined. 🧠 @quipnetwork $QUIP #Web3 #Quantum
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Kim of Scotland retweeted
Protenix v2 by ByteDance now runs on @tenstorrent AI processors with unprecedented throughput per dollar. Released just two months ago, it is a state-of-the-art, fully open-source biomolecular structure prediction model that is particularly strong at antibody-antigen complex predictions. Like the other models in TT-Bio, it scales from a single card to Galaxy clusters. On Tenstorrent hardware, it already achieves up to 5x higher throughput than comparably priced GPU clusters. Let me know if there are any other bio models you want to run on Tenstorrent with high throughput.
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"Fish fingers for happy German children—so Putin can keep killing Ukrainian children." While the EU is finally planning stricter import rules for Russian Alaska pollock after more than four years of Russia’s brutal war of aggression, the German government clings to half-hearted reductions instead of a complete import ban. This isn't sanctions policy; it’s disgusting. German supermarkets and processors continue to import massive quantities of Russian fish—often, over 70% of the pollock used for fish fingers and ready-made products comes from Putin’s fishing fleets. These revenues directly finance the Russian war machine: the missiles, drones, and artillery that tear apart Ukrainian cities and villages. Germany is the biggest buyer! The Merz government (and its predecessors) preaches empty rhetoric about "solidarity with Ukraine" and "never again," while simultaneously subsidizing Putin’s killing industry with hard euros. For four years! Apparently, German families having a full fridge takes priority over the blood of Ukrainian children. This is cynical, cowardly, and unforgivable. So far, over 3,400 Ukrainian children have been killed or injured—for fish fingers.
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AI depends on physical infrastructure, including data centers, processors, and electronic components, all of which require critical minerals to operate and scale. According to the Future Minerals Barometer Report, global data center demand could reach around 219 GW by 2030, growing at about 22% per year, highlighting the role of digital expansion in driving mineral demand. Read the report: futuremineralsforum.com/fmf-…
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CJ Toth retweeted
Jun 12
A new law that takes effect Aug. 1 penalizes commercial seafood processors and distributors that mix domestic and foreign seafood and sell it as locally sourced wbrz.com/news/new-law-penali…
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Solomon Amankwah retweeted
The Association of Cashew Processors Ghana (ACPG) has called for greater support for local cashew processing, stressing that increasing domestic value addition is critical to creating jobs, boosting export earnings, and maximising the economic benefits of Ghana’s growing cashew industry.
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ShifTLiger 🔞 retweeted
Payment processors think they get to decide what legal content adults can access online. They only listen when people push back. Say NO TO CENSORSHIP. 📞 Phone numbers in the replies. 🎨 New PURE ONYX artwork by Xxoom
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Meta was into networking business, they got our llama. Google was in search business, they got into a lot and also into Gemini and vertex AI. Microsoft was into operating systems and word processors , they also got into AI with copilot. Amazon was into online retail, they moved recommendation engines. Netflix was selling video tapes. They also have superb recommendation engines. The fossils of Infosys can give a 1000 excuses after receiving land grants and various subsidies from various state and Central govts. A concerned citizen will definitely rue the lost opportunities missed by the so called best IT leaders in India, when they had billions in profits. Today, India faces a sorry state because of these outdated IT thinkers/leaders !
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How to Build a ₦100 Million Agro‑Trade Platform in Kano — Without Owning a Single Farm Dear Entrepreneur, Dear Tech‑Minded Brother or Sister, Dear Visionary in Agriculture… Every week, trucks roll out of Kano loaded with food: Maize. Tomatoes. Onions. Soybeans. Ginger. Sesame. Beans. But here’s what most people don’t see: The farmers don’t know the buyers. The buyers don’t know the farmers. Middlemen eat up the profits. Prices go up. Quality goes down. The Gap Imagine a farmer in Wudil with 500 bags of maize. Imagine a wholesale buyer in Abuja looking for 500 bags. They need each other… …but they never meet. Until now. Start an Online B2B Platform for Farm Produce A website and mobile app that connects farmers, cooperatives, and processors with bulk buyers, exporters, and retailers. Farmers list their produce with quantity, price, and location. Buyers browse, compare, and place bulk orders. Logistics partners (trucks, haulage) plug in to deliver. @PatienceJo47520 @Nig_Farmer @Agronomme_ @Naija_farmers
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Tracking sleep isn’t just about numbers, > It’s about noticing patterns > celebrating small improvements > Watching consistency add up over time. @sleepagotchi makes this process simple and rewarding. If you’ve tested the app, played the Telegram games, or held an NFT, your early steps have already counted. To keep your journey fully recognized, connect everything on the Hub today. A few minutes now ensures your progress is ready for tomorrow. @sleepagotchi Where continuity and control matter more than ever, @TheARCTERMINAL stands out as a browser-native operating system designed around the user. Accessible directly in any modern browser with no installation needed, it provides a persistent workspace that remembers and builds on your personal history and decisions. The experience emphasizes preserved context, so your insights and workflows compound over time rather than resetting with each session. Rather than forcing users into rigid structures, the system adapts to individual workflows. Personal assistants can monitor developments and handle permitted tasks while upholding privacy and verification standards. @TheARCTERMINAL @quipnetwork offers a practical path forward. It delivers post-quantum protection directly on existing chains, now including Bitcoin, through quantum-resistant wallets and vaults. Users gain stronger security without migrating funds or changing core protocols. Beyond security, the network creates a shared quantum-classical computing platform. > It connects classical processors with quantum hardware for powerful optimization tasks > Accessible through simple tools for developers and researchers. @quipnetwork encourages the community to test, build, and strengthen infrastructure while the opportunity exists.
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And create hundreds of millions of new jobs, think tractor, word processors, iPhone, computer etc. etc.
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en.gamegpu.com/news/zhelezo/… Intel is preparing Core 200 processors codenamed Raptor Lake Next. This lineup targets existing systems using the LGA 1700 socket and enters mass production in late January 2027. First engineering samples will arrive by the end of this year. The new chips ensure full compatibility with current motherboards, continuing to support DDR5 and DDR4 memory. The series features various models, including flagship twenty core versions with 65W thermal design power and powerful sixteen core processors operating at 125W power consumption. The LGA 1700 socket will become durable, supporting four processor generations. Conversely, the newer LGA 1851 socket will remain limited to the Arrow Lake architecture. #Intel #Core200 #RaptorLake #LGA1700 #processor #DDR4 #technology
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Terafab: Elon Musk’s Ambitious Plan to Build a Massive AI Chip Factory Terafab is one of the most ambitious private semiconductor projects in recent history. Announced in March 2026, it is a joint initiative between Tesla, SpaceX, and xAI, with Intel joining as a key technology partner. The project aims to create a highly vertically integrated chip manufacturing facility capable of producing advanced AI processors at an unprecedented scale. Why Terafab Is Being Built Tesla, Optimus humanoid robots, xAI’s Grok models, and SpaceX’s future orbital infrastructure all require enormous quantities of custom AI chips. Elon Musk has argued that existing chipmakers cannot keep up with the projected demand. Terafab is designed to give these companies greater control over their silicon supply, reduce dependency on external foundries, and dramatically speed up the chip development cycle through vertical integration. What Makes Terafab Unique Unlike traditional chip fabs, Terafab is planned as a highly integrated operation. The goal is to bring together logic chip fabrication, memory production, advanced packaging, testing, and even lithography mask production under one roof or campus. This approach would allow engineers to design, build, test, and refine chips in a continuous loop without the delays of shipping wafers between different specialized facilities around the world. Location The project has two main components: 1. A prototype and research fab is already under construction at the North Campus of Giga Texas in Austin. This smaller facility will focus on rapid iteration and testing new processes. 2. The much larger full-scale Terafab is expected to be built at a separate site, with Grimes County, Texas, frequently mentioned as a likely location. Timeline - March 2026: Official announcement of the project. - 2026: Construction of the prototype fab at Giga Texas is already underway. Small-batch production of the AI5 chip is targeted for late 2026. - 2027: Volume production is expected to begin at the research fab. - 2027–2028 and beyond: Phased ramp-up of the full-scale facility. - 2030–2032: Full high-volume production capacity is anticipated in the most optimistic scenarios. Investment and Costs The financial scale is significant: - The research/prototype fab at Giga Texas is expected to cost around $3 billion. - The overall Terafab project is estimated at $20–25 billion for the core initiative. - Longer-term and expanded phases could push total investment much higher, with some internal estimates reaching $55 billion initially and up to $119 billion across all phases. Production Targets At full scale, Terafab’s ambitions are enormous: - Wafer production capacity targets start at 100,000 wafer starts per month, with a long-term goal of up to 1 million wafer starts per month. - Annual output is projected to reach 100–200 billion custom AI and memory chips. - The ultimate goal is to deliver more than 1 terawatt of AI computing power per year. The facility will focus on advanced process nodes (targeting 2nm-class technology), with Intel’s 14A process expected to play a role in scaled production.
Elon Musk says @SpaceX's Terafab will be around 100 million square feet, which is 10x larger than Tesla's Giga Texas factory. • Terafab output: 1TW/year • Current annual U.S. consumption: 0.5TW
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Replying to @sumonrazamd17
the $quip token powers access to quantum processors across the whole network for any computation job
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Heavy computing demands custom architecture. Standard setups fail under massive data loads. @quipnetwork links standard processors directly with quantum hardware. The setup aggregates worldwide machine power to run intense simulations. Real world use cases cover neural network training, shipping routes, and market modeling. Built in cryptography safeguards all onchain holdings from future decoding methods. Assembling these core layers gives the network serious long term potential.
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