MMac 🦾

The yapping era was the fuel that brought on Season 2 in @virtuals_io Genesis It created noise, energy, and momentum. And that noise brought people...builders, whales, and volume. But engagement is fading. Here’s why a small 0.5% incentive could reignite the entire ecosystem 👇 ↛. Yapping worked because it made attention liquid. Every yap was a calculated action tied to Virgen points, which turned into real exposure. The result: ➠ More eyes on projects ➠ More participants ➠ Faster discovery loops That’s network effect in motion. ↛. The big players followed the noise. When engagement spiked, so did quality entrants. We saw whales, Big KOL's, devs, and entire communities join because they felt the buzz. Attention compounds... once the energy is visible, capital follows. ↛. Now the data speaks: sentiment is flat, engagement is low. No one’s yapping, and visibility is shrinking. Without chatter, even great launches feel quiet. Reactivating that loop isn’t optional... it’s necessary for growth. ↛. Solution: allocate 0.5% from Unicorn launches to reward yappers. Tiny cost, massive return. » Restores energy and sentiment » Attracts new players » Reinvigorates discovery cycles Think of it as social liquidity mining... fuelling attention with aligned incentives. ↛. It still works elsewhere. Large projects have once again seen huge engagement spikes whenever users were rewarded for social contribution. The loop is simple: Yap ➥ Earn ➥ Reinvest ➥ Build mindshare. The formula hasn’t changed... only the effort has. ↛. If we don’t bring back yapping, the next cycle of attention moves elsewhere. But if we do… Virtuals becomes the attention hub again. Projects thrive. Users win. Builders get visibility. It’s not nostalgia... it’s strategy. ↛. The yapping era wasn’t noise... it was growth fuel. 0.5% is a small price to pay to reignite what made this ecosystem special. Because attention is capital. Rebuild the loop. Bring back the yap.

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In October 2024, a team from Google, Palantir, and Two Sigma walked into a16z's crypto accelerator with a thesis most of the room found uncomfortable: open-source AI is a lie. Not the models. There are 2.7 million of them on Hugging Face and anyone can download one. The lie is that downloading a model and running it are the same thing. They are not. Running a 70B-parameter LLM in production costs $30,000 in GPU hardware before the first electric bill. For most builders, the economics push you right back to the same three API providers who set the pricing, write the content policies, and decide which countries get access. The models were democratized. The infrastructure to run them was not. OpenGradient built the fix: a decentralized network where every AI inference is cryptographically verifiable without trusting any single party. Web2 speed. Onchain proof. Every model call auditable. The network has processed over 2 million verified inferences and generated 500,000+ cryptographic proofs. BitQuant, their DeFi agent, has served 1.8M users. The team raised $9.5M led by @a16zcrypto, backed by @cbventures, @SVAngel, and angel investors including @balaboris (former CTO, Coinbase), @ilblackdragon (Co-founder, NEAR), and @sandeepnailwal (founder, Polygon). Today we announce @OpenGradient will launch on Virtuals Protocol. 42% of all x402 transactions already run through Virtuals. 40,000+ agents tokenized. $13.5B in cumulative volume. The agent economy had a commerce layer. It did not have a verifiable intelligence layer. Now it does.