
morbuilders
213 posts

morbuilders
@morbuilders
🕶️ | a morpheus subnet dedicated to accelerating builders in the morpheus ecosystem












The reality of owning your own AI is spreading. Astute folks accept that one will never, ever trust their private context to a cloud, nor should any astute company ask of this. It ain’t easy. It ain’t as profitable. It is the—only way. It was just me, now it is many more…


Centralized AI is racing ahead, but @MorpheusAIs is building an open alternative. With $500M+ in ETH through its contracts and 6.5k+ contributors to the $MOR ecosystem, it’s now a decentralized AI that could rival today’s tech giants. 👇 Learn more from @DJohnstonEC: youtu.be/HMow2QiY9pM

I see the decentralized AI network vision very clearly now. And I’m more bullish than ever on a “decentralized AI flippening”. 🔥🔥🤖🤖👇👇 Everyone said that high end compute is the AI company moat. Big Tech built nuclear power plant powered data centers. And big names in AI said that closed proprietary AI models will always be a few steps ahead — just months, of course, before being decimated by open source DeepSeek. The Achilles Heel of this argument is that decentralized AI training, in order to work, necessarily needs to break up models and enable their *large scale* training on *low end commodity hardware*. This, what 24 months ago was said to be impossible by the brightest minds in SF and web3 investors on fancy panels, is now going to production through the perseverance and ingenuity of a very small group of highly cracked entrepreneurs on the intersection of AI and web3. That is to say, we are about to enable networks that *anyone* can join (like with the GPU in your Macbook Pro!) and participate in the pretraining and posttraining of AI models which rival the scale, parameters, and compute of anything produced by a Big Tech company. Moreover, these models will be tokenized enabling GPU owners to speculate on the best models. The models will have a business model through inference — customers will use and pay the network APIs for the models (just like in web2!). And the revenue streams from the models will flow to token holders. So, in short, a stock market of direct access to large, competitive, frontier, open, profitable, and publicly-owned AI models. If you’re not grokking why this is such a big deal, consider that the average person who wants access to frontier AI cannot get it from the public or private traditional markets. But 12-24 months from now, the average retail investor going for frontier AI exposure will probably be getting it by buying a crypto asset. The demand for AI tokens, specifically of individual models and baskets of such, will be *huge*. I personally cannot wait until the moment that Big AI firms start to acquiesce that there are emerging networks out there whose product is highly competitive with their own, whose aggregate market caps will catch-up and then outpace theirs, and which produce orders of magnitude more models and better models. The “decentralized AI flippening”. Time will tell. Bookmark this post. And check out our incredible deAI companies at @coinfund: @worldcoin @gensynai @PrimeIntellect @PluralisHQ @Meet_Perle @gizatechxyz @AlloraNetwork @bagelopenai

🔥 The Future of Yield is Days Away 🔥 📅 Sept 10 → New Capital Contract goes live 💎 Stake stETH, wETH, wBTC, USDC, USDT 📈 Capital efficiency, maximized ⚡ Boosts up to ×10.7 🔥 Buybacks • Deep Liquidity • Burns ⏳ Be first to enter. Don’t miss it. 🚀

🔥 The Future of Yield is Days Away 🔥 📅 Sept 10 → New Capital Contract goes live 💎 Stake stETH, wETH, wBTC, USDC, USDT 📈 Capital efficiency, maximized ⚡ Boosts up to ×10.7 🔥 Buybacks • Deep Liquidity • Burns ⏳ Be first to enter. Don’t miss it. 🚀









.@MurrLincoln is cookin now 🔥 Turn your AI agents into entrepreneurs with x402!











