Today, VVV emissions reduced from 4M to 3M tokens per year.
This is the third planned reduction:
- May 1st: 6M → 5M
- June 1st: 5M → 4M
- July 1st: 4M → 3M
Our goal is a net deflationary VVV with native yield, where burns exceed emissions.
Today, @askvenice announced a $65M Series A at a $1B valuation.
We started this company in 2024 with a simple conviction: people deserve an AI platform that doesn't spy on them or decide what they're allowed to think.
Our job was to build a private, unrestricted AI platform that could find product-market fit without compromising on principles.
VVV and Capital
Measured by revenue, Venice has become the largest company at the intersection of AI and cryptoeconomics.
Today, we announced Venice’s first round of outside capital, a $65m Series A led by @dragonfly_xyz, valuing Venice’s equity at $1 billion.
Since we are an atypical company, this thread describes how this equity raise relates to the most valuable asset we have on our balance sheet, our capital token base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf
@G_Moskaliuk I love this library. We did put in a patch recently because we've noticed the kotlin text components are too eager to highlight text when scrolling lists. We adjusted the native files so the text is selectable on long press, more like iOS. It works well for us, just a thought!
INTERVIEW - @AskVenice Is Here to Win: How Private AI Takes On OpenAI and Anthropic
@TrustlessState sits down with @JonShapeShift and @jesseproudman to unpack how Venice is taking on OpenAI and Anthropic with private AI.
They talk about:
- why AI is becoming the biggest data honeypot ever
- private @grok access through Venice
- unrestricted AI as a consumer wedge
- how non-crypto users still feed the $VVV economy
- $DIEM, tokenized inference, and AI agents
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TIMESTAMPS
0:00 Intro
1:12 Why Private AI Matters
3:01 The AI Data Honeypot
6:07 Venice’s Consumer AI Ambition
8:01 Beating the Big AI Labs
10:19 Model Aggregation and Agentic Chat
12:29 Open Source, Closed Source, and Private Grok
17:14 Who Actually Needs Private AI?
21:58 Venice’s User Base
23:53 What Drove Venice’s Recent Growth
27:21 $VVV, $DIEM, and Tokenized Inference
29:00 Where Venice Gets Its Compute
32:17 Bonding Curves and DIEM Monetary Policy
39:14 Real Tokenomics, Not Just a Pie Chart
45:46 AI Agents Need Inference to Exist
52:54 ShapeShift DNA Inside Venice
55:53 Regulation, AI, and Individual Rights
Running separate AI chats for text, media, and research can be cumbersome and repetitive.
So Venice just made your AI workflows simpler.
🧵Introducing Agentic Chat: text, images, video, file analysis, and research all from a single chat input.
VVV emissions reduced from 6M to 5M tokens per year, effective today.
This is the first of 3 monthly reductions:
- May 1: 6M → 5M
- June 1: 5M → 4M
- July 1: 4M → 3M
Our goal is a net deflationary VVV with native yield, where burns exceed emissions
Seedance 2.0 is now live on Venice for all users, including the US.
ByteDance's most advanced video model. Multi-shot scenes, character consistency, native audio, up to 15 seconds per generation. Make short films, ads, music videos, trailers. Explore the limits of your imagination.
AI x Crypto feels like the true final frontier that brings crypto truly mainstream
I don't see any stronger narratives
Venice looks positioned to own this vertical.
If $VVV is the private, uncensored version of ChatGPT... it feels undervalued
The world's #1 ranked video model is now on Venice.
ByteDance's Seedance 2.0 generates up to 15 seconds of cinematic video with native lip-synced dialogue, synchronized sound effects, and physics-accurate motion.
Text-to-video. Image-to-video. Reference-to-video.
Examples 🧵