Fully opensource stack, and I trust their mission than I trust Intel (which NVIDIA is in an investor in btw) Do people not realize that we need healthy competition for local inference? I am hoping to actively help mature that stack myself btw
INVESTMENT
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LLM token prices decreased 99% since 2022 launch
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To give you an idea since we launched godinabox in 2022 till today token prices for top of the line LLM is something like 1% of what it used to be.
→ View original post on X — @waitin4agi_, 2026-03-29 11:30 UTC
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Annualized Revenue as Valid Growth Metric in AI Competition
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The most pointless kind of dunking is dunking “on behalf” of someone else. Everyone thinks they’re doing the startup ecosystem/investors a service by saying that someone’s revenue might not recur. But investors are fairly sophisticated about this and know the difference. They know these companies are acquiring the distribution and user base right now and will hopefully generate profit as token prices continue to fall. This is what investors are betting on. Annualised revenue is simply an indicator metric of growth. Most AI companies globally report this and therefore it is a useful score to compare these companies against each other in the first innings of the AI race.
→ View original post on X — @waitin4agi_, 2026-03-29 11:26 UTC
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UK Defence Tech Startups Face Relocation Risk Amid Funding Delays
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https://
ft.com/content/f62751
d1-2292-45f7-a693-93d0af5b9f28
… UK risks losing defence tech start-ups to relocation amid funding delays -
New question in the Y Combinator application form
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New question in the YCombinator application form 👀 [Translated from EN to English]
→ View original post on X — @andreasklinger, 2026-03-29 09:17 UTC
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Learning and knowledge investment in AI development
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Ou there is so much to read and learn, I call it investment
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Game Theory Analysis of Polymarket Trading Patterns and Formulas
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See this impressively detailed article “Game Theory on Polymarket: The 5 Formulas tested on 72 million trades”, by @0xMovez
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AI Projects Fail When Promises Exceed Reality
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𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝗺𝗼𝘀𝘁 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗾𝘂𝗶𝗲𝘁𝗹𝘆 𝗳𝗮𝗶𝗹… Not in the model. Not in the tech. 𝗜𝗻 𝘁𝗵𝗲 𝗽𝗿𝗼𝗺𝗶𝘀𝗲. Let me show you 👇 𝗪𝗮𝘁𝗲𝗿𝗳𝗮𝗹𝗹 You ask for a chatbot. You get a plan, a timeline… and a lot of waiting. 𝗔𝗴𝗶𝗹𝗲 You ask for a chatbot. You get something early. Imperfect, but real. 𝗔𝗜 You ask for a chatbot. You get a vision for a “fully autonomous intelligence layer” that will: ▪️ Replace workflows you haven’t mapped yet ▪️ Integrate systems nobody has cleaned ▪️ Make decisions on data nobody fully trusts ▪️ Communicate better than your team ▪️ Scale before it even works reliably 𝗪𝗵𝗮𝘁 𝘀𝘁𝗮𝗻𝗱𝘀 𝗼𝘂𝘁 𝘁𝗼 𝗺𝗲 𝗶𝘀 𝘁𝗵𝗶𝘀. We moved from building step by step → to shipping fast and learning → to selling outcomes before systems exist 𝗧𝗵𝗮𝘁’𝘀 𝗻𝗲𝘄. 𝗔𝗻𝗱 𝗶𝘁’𝘀 𝗿𝗶𝘀𝗸𝘆. Because when expectations run ahead of execution, you don’t get innovation. You get 𝗱𝗶𝘀𝗮𝗽𝗽𝗼𝗶𝗻𝘁𝗺𝗲𝗻𝘁 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲. The real constraint is no longer capability. It’s alignment between promise and reality. 𝗦𝗼 𝗵𝗲𝗿𝗲’𝘀 𝗺𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: When you look at your AI projects today… Are you building something that actually works, or something that simply sounds impressive? #ai #genai #agents #digitaltransformation #futureofwork #leadership
→ View original post on X — @pascal_bornet, 2026-03-29 05:00 UTC
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NVIDIA Stock Drop After DeepSeek R1 Release and Investment Advice
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This is the same stupid shit that happened in January 2025 when NVIDIA’s stocks dropped after DeepSeek R1 came out, we all know how that ended lol P.S. Buy what you need while it’s at a discount