Raven Protocol ๐Ÿฆโ€โฌ›

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Raven Protocol ๐Ÿฆโ€โฌ›

Raven Protocol ๐Ÿฆโ€โฌ›

@raven_protocol

Raven is developing a distributed network of compute nodes for Artificial Intelligence and Machine Learning. A decentralized computing protocol built on #BNB

Hong Kong and Bangalore ๊ฐ€์ž…์ผ Kasฤฑm 2017
210 ํŒ”๋กœ์ž‰13.1K ํŒ”๋กœ์›Œ
Raven Protocol ๐Ÿฆโ€โฌ›
Q1 2026: AI everywhere. Q2: even more AI. Q3: way more AI. Q4: you get it. Usage isn't peaking, it's just starting. Centralized clouds already sweating. Raven Protocol doesn't sweat. Distributed nodes scale with the chaos, not against it.
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AI adoption isnt slowing down, its accelerating. More agents, more workflows, more users, more inference. Demand only moves in one direction: up. Centralized infrastructure hits limits. Raven doesnt, it scales horizontally across thousands of distributed nodes as usage grows.
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GM! Breaking: We've solved the AI crisis by asking datacenters to work harder. JK. You can't scale trillion-dollar demand with "wait 7 years for grid connection." Raven Protocol coordinates existing hardware globally: no construction timelines, no queues, no April Fools.
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Autonomous agents need infrastructure that scales with them not against them. Thousands of agents running 24/7 workflows cant wait in cloud queues or compete for datacenter slots. Raven Protocol deploys capacity instantly across global nodes without centralized approval delays.
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Agentic AI market hitting $8.5B in 2026, $45B by 2030. 75% of companies investing in agents driving compute 100x. Claude Opus sustaining 14.5-hour tasks, doubling every 123 days. Week-long agent tasks arriving late 2026. Infrastructure can't keep pace. Raven is the solution.
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11 GW of 2026 datacenter capacity stuck in announced stage with no construction signs. Grid connection wait times hitting 7 years in US. 10+ moratorium proposals last month alone: NY, Michigan, Virginia, Oklahoma. Political limits biting hard. axios.com/2026/02/24/ai-โ€ฆ
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Microsoft reports $80B Azure backlog unfulfilled due to power constraints. Amazon could grow faster but capacity-limited. Grid connection delays extending timelines 24-72 months. Raven's nodes already connected to power: no grid queue, no construction wait, deploy immediately.
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a16z
a16z@a16zยท
"The winner of the AI race will not be the company with the smartest model. It will be the company that is most effective at making the local heroโ€”the teacher, the accountant, the community leaderโ€”ten times more powerful. Because in the end, intelligence travels through systems, but adoption travels through people." @heysakina on what she learned growing YouTube internationally and what it means for the AI race: a16z.news/p/the-sovereigโ€ฆ
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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetterยท
Software companies fear AI agents could disrupt their entire industry: A record 27 US public software firms identified AI agents as a competitive risk in their filings in Q1 2026. The number has more than doubled since Q2 2025. By comparison, in Q4 2024, just 2 firms flagged this risk in their filings. Anthropic and OpenAI are releasing AI superagents which can use enterprise software the way humans do, but in a fraction of the time and without supervision. AI agents could replicate existing software or reduce subscription revenue, as companies that need fewer employees also need fewer software licenses. Investors are already pricing in the risk, with the Software ETF, $IGV, down -21% year-to-date. AI is reshaping the software industry.
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Yuchen Jin
Yuchen Jin@Yuchenj_UWยท
The highest-paying jobs today may be first in line for AI. Take GPU kernel engineers: a golden ticket to OpenAI or Anthropic, million-dollar offers. Now people're rushing to learn it. It takes ~1 year to get decent. But will Claude Opus 4.9 or GPT-6 beat you, or even the best kernel writers in the world? Itโ€™s already happening.
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Misha
Misha@mishadavinciยท
BigAI is not making intelligence more available and accessible. They are attempting to steal all human knowledge. And make you pay them for it. Decentralized intelligence will win.
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Alex Finn
Alex Finn@AlexFinnยท
AI didn't kill software. AI just killed dumb software. Everyone and their mothers is building social media cross posting tools right now. Every day someone else releases a way to post to X/youtube/tiktok at the same time That's dead. What isn't dead is solving challenging, niche problems This is the secret to getting rich in the age of AI Instead of vibe coding the easiest thing you can think of like an AI content generator, go after a really difficult niche problem โ€ข An AI agent for grocery stores โ€ข A CRM for spas โ€ข An inventory management tool for retro video game stores Instead of opening Claude Code and vibe coding another wrapper, go after the hardest niche challenge you can think of THIS is how you win right now.
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Julia McCoy
Julia McCoy@JuliaEMcCoyยท
We were never meant to be human *doings.* We are human *beings.* But the industrial economy needed bodies at desks. Needed fingers on keyboards. Needed souls chained to output quotas. AI is dismantling that machine. The tragedy isnโ€™t that AI is replacing workers. The tragedy is that so many people still *want* to be replaced by that machine. Wake up. This is your exit door.
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Peter H. Diamandis, MD
Peter H. Diamandis, MD@PeterDiamandisยท
I mean it truly when I say we are early to AI. ChatGPT has an average of 67.7 million users while Claude has approx. 11 million. There's 8 billion people in the world AND counting.
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Balaji
Balaji@balajisยท
AI is a shortcut. So itโ€™s useful. But itโ€™s lazy. So it speeds execution. But it hides complexity. So you want to use it. But definitely not overuse it. So the user of AI often loves it. But the reader of AI often hates it.
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Haider.
Haider.@slow_developerยท
writing code manually is boring now codex and claude code replaced the keyboard for me, but i still make the main architecture decisions -- then i use another agent to review the implementation and catch bugs or edge cases i missed AI with human guidance is a superpower
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