Ownership Roadshow #3#. Bigger than ever. 🦈 A lineup of the hottest new startups on @Solana will pitch in front of thousands of viewers and the most acclaimed Roadshow judge panel yet Streamed live on our X profile from 7PM UTC on the 26th of June Hosted by @8bitpenis Produced by @BlockformerLLC Powered by @MetaDAOProject & @UmbraPrivacy Want to participate as a team? Read below ↓

Ownership Report #17# 📰 @hivebits_io joins us live following the successful $NECTAR raise on @futarddotio 🐝 The raise is filled. Now we’re catching up with the team on how it went, what they learned along the way, and what comes next for HiveBits. Join us live on X. Starting Monday at 4:30PM UTC 🕟 Hosted by: @8bitpenis, CEO, @ownershipfm

“Two ADHD energy-powered kids and three icons.” Vukan, Co-Founder of @JurassicFi, explains how a lean team covers every layer of the business at the @MetaDAOProject Owners Meeting: “@Sora_i_guess spent three years in marketing at an RWA project that tokenized farmland commodities on Ethereum. It was super cool, but in 2021, it was simply too early.” “I run my own marketing agency and work with @8bitpenis on Ownership Media. Then we have three advisers, each an icon in their own segment.” “Rob brings experience across collectibles and alternative assets. Tzvi works across Solana, tokenization, and RWAs. Wang has spent around 30 years in paleontology.” “When we want to scale and acquire more assets, we really don’t need to keep hiring. We already have two ADHD energy-powered kids and three specialists covering each part of the model.” - @vukan0x Jurassic Finance is building with a compact team spanning marketing, tokenization, alternative assets, and deep paleontology expertise.

Luka, founder of Ryvo, walks through the three ways yield could work in Ryvo, and the one he thinks is ideal "I'm personally excited about yield because it reminds me of banks and how they operate. But the yield part isn't fully fleshed out, because there are many ways to do it. What some providers do is, say you have $100 sitting in your wallet, they take that money and deposit it somewhere else, then withdraw it when you want to use it. That's inefficient, it adds friction, you're constantly depositing and withdrawing to these yield protocols, so that's not the way to go" "Another way is Ryvo integrates into lending platforms, creates and manages strategies to optimize yield, and issues our own internal stablecoin you can use to pay for things. Then we handle the exchange rate, so one Ryvo stablecoin might equal a different amount of real USDC. That complicates things, because when you're paying in Ryvo stablecoin you have to account for the exchange rate" "The third way, which I personally think is ideal, is where you have a stablecoin you don't need to deposit anywhere, just by holding it you're generating yield. There's another Ownership project that does that, releasing soon. I still have questions around how they track who gets the yield, but there might be a solution there that works for Ryvo too. Essentially, you have all this onchain liquidity, all these stablecoins in the protocol, but the activity, the micropayments by agents, happens offchain. So what if we could make the money work onchain as well? That's the idea of yield" FT @heisenburgirrs @ryvonetwork @8bitpenis

[8-Bit Arcade Remix: Beach Battle] Event Coming Soon ▼Reward Name Day's theme garment [The Deathless Quiet], Limited Portrait, Crystal Casket, Growth Materials ▼Event Time After the version update on 2026-08-13 - 2026-09-24 04:59 (UTC-5) #Reverse1999Ver3ꓸ7# #OnAnothersSorrow# #Reverse1999Anniversary#

I’m evaluating a batch of quantized Qwen3.8 27B models (non-GGUF) on 20K+ prompts across a variety of tasks: cyankiwi/Qwen3.8-27B-AWQ-INT4 — done unsloth/Qwen3.8-27B-NVFP4 — done EschaLabs/Qwen3.8-27B-Escha-W2 — done ISTA-DASLab/Qwen3.8-27B-3Bit-GSQ — running Mia-AiLab/Qwen3.8-27B-EXL3-3.5bpw — pending (still figuring out whether it can support high concurrency; if not, it won't make it to the list) I can include one more model. Any recommendations (must be non-GGUF)? Maybe NVIDIA's NVFP4? I’m also evaluating all the models I made here: So far, everything looks good except for the smallest model, whose evaluation is still running. Some of my quantizations use 8-bit activations. While they don’t appear to hurt accuracy, I’m not seeing any significant speedup either (on Blackwell). I’ll run a few ablation experiments with 16-bit activations to get a better sense of the tradeoff. These are non-agentic evaluations. For agentic evals, I’ll focus on two models: the fastest 4-bit version and the lowest-bpw model that preserves accuracy. Once everything is done, I'll publish all the results, including latency and token efficiency.