Dan

1. Venice hasn’t claimed to be decentralized, and doesn’t need to be for its service. Our claims are to privacy and free speech. 2. We don’t need to produce our own models so would we. Hundreds of millions of dollars in cost that we avoid completely. And yet… we have hundreds of models available. Compare us with ChatGPT

$VVV "We don’t need to produce our own models. . . Hundreds of millions of dollars in cost that we avoid completely." - @ErikVoorhees Not enough has been theorized on this point. The AI industry’s next phase may be decided less by who builds the smartest model and more by who can afford to keep building them. Training frontier models has become extraordinarily expensive. GPT-4-class systems cost an estimated $78–100 million in compute alone. Newer efforts are pushing well into the hundreds of millions, with credible projections that leading training runs will exceed $1 billion within a couple of years. These are not one-time costs — they recur as labs chase incremental gains. @AskVenice operates with a structurally different cost profile. It does not train its own foundational models. It routes users to leading open-source models while adding privacy protections, uncensored outputs, and decentralized access via its API and VVV token. By skipping the training phase entirely, Venice avoids the hundreds of millions in upfront capital outlays that define the current arms race. That is not a minor efficiency — it is a fundamentally different business model. Major labs illustrate the pressure. OpenAI has reported multi-billion-dollar annual losses, with training and inference compute representing the largest drivers. As usage scales and models grow larger, both the one-time training spend and the ongoing cost of serving users rise sharply. This creates a difficult dynamic: to remain competitive on raw capability, companies must keep investing heavily. Those with the deepest pockets or strongest corporate backing are best positioned to sustain the pace. Others face mounting strain on their balance sheets. The result is something of a war of attrition. Continuous improvement requires continuous heavy capital deployment. In a post-hype environment where investors increasingly demand clearer paths to profitability, the ability to generate strong returns on these escalating investments will matter more than it did during the initial land grab. Venice’s approach raises a strategic question worth examining: in a market where model development costs keep rising, does the durable advantage shift toward those who use the best available models efficiently rather than those who must continually reinvent them? By focusing on privacy, censorship resistance, agent-friendly infrastructure, and token-aligned decentralized compute, Venice is building its position in the distribution and experience layer — not the raw model layer. That positioning may prove resilient if capital becomes more discerning or if open models continue closing performance gaps. The deeper issue is capital allocation in AI. Enormous sums are flowing into training ever-larger systems. Yet the companies that ultimately capture the most value may not be the ones bearing the heaviest development costs. How this plays out — whether through consolidation, specialization, or a shift in what users and developers actually pay for — deserves more rigorous analysis than it has received so far. Maybe @YanLiberman @Delphi_Digital or @nikshepsvn can further explore this deep dive and the implications? What frameworks are you using to think about sustainable economics in AI? From the outside, Venice seems well positioned to navigate the path ahead.

I'm really struggling to see how the past 1.5 years have been any different from the past decade when it comes to the feds ruining the lives of people they personally don't like, completely on a whim. Because from what I've seen, literally nothing has changed on that front. And you could argue that it's gotten worse, since we're all now supposed to pretend like the federal agencies are all good now.

Since i see many broke larp KOL coping with tweets how $VVV is useless and they missed the biggest AI runner in past few months, and cant handle it But why $VVV needs a token? $VVV gives you a pro-rata share of the platform’s compute capacity. If you own 1% of the staked supply, you effectively own 1% of the total AI power of the network forever Its really not hard to understand why and once you realize it, you then understand it will be a top 20 currency Every new user, every AI agent, every Pro subscription, and every burn increases the scarcity and utility of staked $VVV Unlike many AI tokens that are just hype, $VVV’s value is tied to actual compute ownership in a network that people are actively using and paying for

#Bitcoin Bull Market Trick ✨ Almost 4 years ago, I shared a simple #BTC strategy based on historical market behavior that had worked 100% of the time. It’s not about catching the exact bottom, but offering a simple framework for those who don’t have time to watch charts every day. You BUY when price reclaims the 🟢 line with weekly confirmation.

#Bitcoin Historical Buy Zone #BTC is currently in what has historically been the optimal accumulation window. Accumulation is boring. But that’s where asymmetric opportunity is built.

What happens when you press for disclosure of all the Epstein files when they are a key part of Israel's leverage over Trump.

It’s not an antisemitic conspiracy theory when a foreign lobby openly brags that they bought two congressional seats with candidates who will be loyal to Israel.

Trump sucks and Massie is a hero

$VVV is now available to trade on Robinhood.

$VVV "This is the AWS pattern at scale. Free Tier in 2006 generated essentially zero revenue. Twenty years later, the AWS ecosystem that grew out of those free signups produces over $100 billion annually. The cheap-in-the-door service was the entire point. Venice has structured $DIEM to play the same role, with one important advantage AWS Free Tier never had: DIEM is itself a financial asset that markets price and compose with. AWS Free Tier creates relationships but no derivative financial activity. DIEM creates relationships and a productive financial primitive that DeFi protocols compete to integrate, that traders price across forward markets, and that enterprises hold as a hedge against future inference inflation."

Big drop from @AskVenice 👇🏻 The bit to notice: wallet auth means agents can run on your staked $DIEM allowance directly, or x402 USDC. No signup, no KYC. Your tokens, your compute 🤍

You gotta ask yourself: Why would real Nazis go through the trouble of making a sticker to BRAND THEIR GAS CAN before committing an attack on a mosque? This is so fake it's painful

Everyone looking for the sleeping giant, while it’s sitting RIGHT IN FRONT OF THEM. - Sam Altman commented on their X - YC and HuggingFace Founders commented - 500B+ tokens processed by their LLM in just 4 DAYS. In comparison VVV does around 40-50B a day. - Xiaomi Sponsored and partnered with them. Only other project was $SEI - xAI gave them a grant. ITS INVITE ONLY. Thats $GITLAWB 🤝

I'M SORRY BUT NOBODY IS TALKING ABOUT WHAT BITCOIN JUST DID. Multi-year Cup and Handle. Complete. Breakout. DONE. Perfect retest. DONE. Structure confirmed. DONE. This pattern took years to build. And nobody noticed. Cup and Handle breakouts don't move 20%. They move hundreds of percent. The retest just finished. The launch is next. $220K is the minimum target. Most people will only find out after it happens.

Thomas Massie was one of Americans most popular politicians and now he's fighting for his life This is clear foreign interference

#Altcoins Soon people will realise that the accumulation phase for TOTAL2 lasted more than 1.5 years, rather than just a few months as was the case in 2016 or 2020. Soon people will realise that the real Altseason is yet to come. Up only mode.

Use Venice.ai if you don’t want to exist under ubiquitous surveillance

$VVV $DIEM When the CEO of BlackRock declares compute a trillion-dollar asset class and the world's largest derivatives exchange CME agrees, the question for crypto investors becomes simple: where is the on-chain version, and how does it scale? At ~38,000 DIEM, Venice's tokenized inference market is functional but undersized. For the asset to flow through DeFi—to be borrowed against on @aave, @MorphNetwork, et al., traded as a futures curve, used as collateral for stablecoin loans, deposited in yield aggregators—it needs depth. The threshold for serious financial composability—the point at which DeFi protocols can list DIEM as collateral, derivatives venues can quote tight markets, and rental liquidity becomes consistently deep—likely sits between 500,000 and 1 million DIEM in circulation. Venice's structural setup is favorable for designing a clean capital event. With only ~5 million VVV floating freely, no institution can accumulate a meaningful position through open-market purchases without moving the price 100% or more. Exit liquidity is similarly thin. The only viable path for institutional entry is a negotiated strategic round priced above spot market. Would VVV holders welcome a capital raise to expand DIEM supply? What could that look like? Read.