Alternate Futures AI

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Alternate Futures AI

Alternate Futures AI

@AltFuturesAI

Building the infrastructure for human-computer alignment - starting with Alternate Clouds, a DePIN Multi-cloud abstraction layer.

Everywhere शामिल हुए Ağustos 2025
63 फ़ॉलोइंग44 फ़ॉलोवर्स
Alternate Futures AI
Alternate Futures AI@AltFuturesAI·
Alternate Futures is officially a part of the @NVIDIA inception program. Building the next layer of decentralized AI and DePIN infrastructure is a journey. Thank you for bringing us into your ecosystem to help us reach our destination.
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Alternate Futures AI
Alternate Futures AI@AltFuturesAI·
We’ve been shipping.🔧 Alternate Clouds now has region selection: more control over where your deployments run on decentralized networks. If you’re building on DePIN, this is for you. Join the beta → app.alternatefutures.ai
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Alternate Futures AI
Alternate Futures AI@AltFuturesAI·
1 click deployments. Dramatically lower compute costs. The future is yours. What will you build?
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Alternate Futures AI
Alternate Futures AI@AltFuturesAI·
Tired of your AI spend burning a hole in your wallet? We were too... so we built Alternate Clouds. 

 You’ll pay 30%-80% less in cloud costs on our platform compared to the “big guys”.

 The next wave of builders are getting access. Come see at app.alternatefutures.ai
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Alternate Futures AI
Alternate Futures AI@AltFuturesAI·
We're expanding the Alternate Clouds beta. Deploy across decentralized infrastructure from one place, no complexity, no bloated cloud bills. The next wave of builders are getting access… come see what smaller looks like → app.alternatefutures.ai
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Angela Steffens (she/her)
Angela Steffens (she/her)@wonderwomancode·
Vercel users -- if you want to make a change. In the next couple of days @AltFuturesAI we are going to onboard as many people as we can without affecting service for the people that are already on the platform. Hit the "Request Access" button on our home page to get on the list now. alternatefutures.ai
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Alternate Futures AI
Alternate Futures AI@AltFuturesAI·
@handotdev Congrats, finally an AI company valuation that actually makes sense based on user adoption.
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Han Wang
Han Wang@handotdev·
We just raised a $45M Series B at a $500M valuation led by @a16z and @SalesforceVC to build the knowledge infrastructure for AI
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Angela Steffens (she/her)
Angela Steffens (she/her)@wonderwomancode·
In San Francisco the following couple of weeks. Taking meetings to close our seed funding round @AltFuturesAI soon! If you are an investor that would like to meet, know an investor I should meet, or are an AI founder who is looking to reduce their compute overhead. Reach out!
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Angela Steffens (she/her)
Angela Steffens (she/her)@wonderwomancode·
We're taking reservations for confidential compute in our data center coming online in May. NVIDIA B300 Hardware TEE. It's cost plus 20% on 6 month commitment. You're probably not gonna get that price anywhere else. Let me know if you're interested. We will prioritize open source projects first. It's probably going to sell out pretty fast and all will be accessible to manage through our new dashboard.
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Alternate Futures AI
Alternate Futures AI@AltFuturesAI·
We're ramping up quickly! There is a waitlist for beta access, but we're going to be opening up the public beta soon. The first 100 people in our Discord will receive a special loyalty NFT that will give them platform perks. The next 900 will receive one at the next tier.
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Angela Steffens (she/her)
Angela Steffens (she/her)@wonderwomancode·
Because you don't do it all with an LLM. This is why we need to move AI development beyond AI researchers who think about AI as a single engine that they are trying to get to do all the things. That's not how this will work! Why do I know this? That's not how human brains even work. Language processing is not the same part of the brain as reasoning. Counterfactual reasoning in the brain is like a network that reaches out to a bunch of different parts of the brain associated with memory, simulation and executive control. Why would it be any different in AI? Why would you even try to process counterfactual reasoning in the same engine that processes language? The answer is you don't! This is not an LLM problem at this point. They have gotten good enough for their job and the extra tokens are not helping because they're just bogging the system down with more than it needs for the job it's supposed to do. This is a systems engineering and networking problem that can be solved with the combination of LLMs with the right memory, messaging and control centers.
Big Brain AI@realBigBrainAI

Pioneer of causal AI, Judea Pearl, argues that no amount of scaling will get LLMs to AGI. He believes current large language models face fundamental mathematical limitations that can't be solved by making them bigger. "There are certain limitations, mathematical limitation that are not crossable by scaling up." His core argument: LLMs don't learn how the world works. They learn from *human interpretations* of how the world works. "What LLM's doing right now is they summarize world models authored by people like you and me available on the web and they do some sort of mysterious summary of it, rather than discovering those world models directly from the data." He illustrates this with healthcare data. When hospitals collect data on treatment effects, that raw data never reaches the LLMs. Instead, the models consume doctors' written interpretations. Analyses shaped by people who already have a mental model of how disease and treatment work. In other words, LLMs are learning from the map, not the territory. The missing piece, according to Pearl, is causal reasoning — the ability to understand not just *what* happens, but *why*. And he's clear this isn't a gap that more parameters or training data will close. It raises a uncomfortable question... If AGI requires machines that build their own world models from raw data rather than summarising ours, are we even on the right road?

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Angela Steffens (she/her)
Angela Steffens (she/her)@wonderwomancode·
AI Assistants in TEE on DePIN? @AltFuturesAI - making it happen in a couple of clicks
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Angela Steffens (she/her)
Angela Steffens (she/her)@wonderwomancode·
DePIN should be as easy to launch on as Vercel or Railway. Crypto builders aren't DX builders. We solved this @AltFuturesAI We didn't build the networks, we just made it easy to connect to them. No wallets, just github to launch in 2 mins. Sign up for beta access now!
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Angela Steffens (she/her)
Angela Steffens (she/her)@wonderwomancode·
I'll be speaking here today! Come join us.
greenpill.network@greenpillnet

🟢 5pmEDT (10pmUTC) tonight ⏰ we look forward to speaking with @durgadasjii about organizations of humans in a tech-first environment soon here on X spaces In the recent GreenPill Garden Season, his mentorship of the GreenPill Stewards has been instrumental. For many years, Durgadas has been researching and how groups of people pursue common goals. With those learnings he helps organizations proactively set up strategies and resilient protocols through his trainings and essays always surfacing hidden dynamics. His guidance and insights are invaluable to evolve the organization. x.com/i/spaces/1yoJM…

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Angela Steffens (she/her)
Angela Steffens (she/her)@wonderwomancode·
For VC's interested in funding a DePIN multi-cloud, think Railway for DePIN networks, @AltFuturesAI is now raising seed funding. You can find our YC SAFE on Angel List along with a RUV pool for smaller investors. Reach out and I will send you our calendar to chat. Some history about why we built this tool. 👇
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vitalik.eth
vitalik.eth@VitalikButerin·
How I would do creator coins We've seen about 10 years of people trying to do content incentivization in crypto, from early-stage platforms like Bihu and Steemit, to BitClout in 2021, to Zora, to tipping features inside of decentralized social, and more. So far, I think we have not been very successful, and I think this is because the problem is fundamentally hard. First, my view of what the problem is. A major difference between doing "creator incentives" in the 00s vs doing them today, is that in the 00s, a primary problem was having not enough content at all. In the 20s, there's plenty of content, AI can generate an entire metaverse full of it for like $10. The problem is quality. And so your goal is not *incentivizing content*, it's *surfacing good content*. Personally, I think that the most successful example of creator incentives we've seen is Substack. To see why, take a look at the top 10: substack.com/leaderboard/te… substack.com/leaderboard/cu… substack.com/leaderboard/wo… Now, you may disagree with many of these authors. But I have no doubt that: 1. They are on the whole high quality, and contribute positively to the discussion 2. They are mostly people who would not have been elevated without Substack's presence So Substack is genuinely surfacing high quality and pluralism. Now, we can compare to creator coin projects. I don't want to pick on a single one, because I think there's a failure mode of the entire category. For example: Top Zora creator coins: coingecko.com/en/categories/… BitClout: businessofbusiness.com/articles/insid… Basically, the top 10 are people who already have very high social status, and who are often impressive but primarily for reasons other than the content they create. At the core, Substack is a simple subscription service: you pay $N per month, and you get to see the person's articles. But a big part of Substack's success is that they did not just set the mechanism and forget. Their launch process was very hands-on, deliberately seeding the platform with high-quality creators, based on a very particular vision of what kind of high-quality intellectual environment they wanted to foster, including giving selected people revenue guarantees. So now, let's get to one idea that I think could work (of course, coming up with new ideas is inherently a more speculative project than criticizing existing ones, and more prone to error). Create a DAO, that is *not* token-based. Instead, the inspiration should be Protocol Guild: there are N members, and they can (anonymously) vote new members in and out. If N gets above ~200, consider auto-splitting it. Importantly, do _not_ try to make the DAO universal or even industry-wide. Instead, embrace the opinionatedness. Be okay with having a dominant type of content (long-form writing, music, short-form video, long-form video, fiction, educational...), and be okay with having a dominant style (eg. country or region of origin, political viewpoint, if within crypto which projects you're most friendly to...). Hand-pick the initial membership set, in order to maximize its alignment with the desired style. The goal is to have a group that is larger than one creator and can accumulate a public brand and collectively bargain to seek revenue opportunities, but at the same time small enough that internal governance is tractable. Now, here is where the tokens come in. In general, one of my hypotheses this decade is that a large portion of effective governance mechanisms will all have the form factor of "large number of people and bots participating in a prediction market, with the output oracle being a diverse set of people optimized for mission alignment and capture resistance". In this case, what we do is: anyone can become a creator and create a creator coin, and then, if they get admitted to a creator DAO, a portion of their proceeds from the DAO are used to burn their creator coins. This way, the token speculators are NOT participating in a recursive-speculation attention game backed only by itself. Instead, they are specifically being predictors of what new creators the high-value creator DAOs will be willing to accept. At the same time, they also provide a valuable service to the creator DAOs: they are helping surface promising creators for the DAOs to choose from. So the ultimate decider of who rises and falls is not speculators, but high-value content creators (we make the assumption that good creators are also good judges of quality, which seems often true). Individual speculators can stay in the game and thrive to the extent that they do a good job of predicting the creator DAOs' actions.
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