Jpgs.eth
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@Jpgs_eth
2015 Jpgs.eth Punks + V1 RarePepe Artblocks Futureverse EulerBeats
trump is taking hormuz. not by opening it. by shutting it down himself. smartest move of the war. the first real signal that the US is done playing reactive and ready to dictate terms. but will it work? new piece on why the blockade changes the narrative, not the outcome. garrettsignal.com/p/the-smartest…
Secondary markets for compute will be enormous Enterprises already do this with GPU infrastructure: i) buy capacity in bulk at contracted rates ii) use what you need iii) resell surplus at a margin AWS even has a secondary marketplace for unused reserved instances; token-gated inference networks create the same imbalance a) Supply side: Large holders get allocations they don't burn through b) Demand side: Teams building fine-tuned models, RAG pipelines (models that retrieve and reference external data to improve their outputs), and adapter layers on top of base inference all need cheap compute to run enhanced outputs for specific verticals One side has surplus which feeds the insatiable appetite for affordable inference As more networks allocate compute through token ownership this pattern will repeat The @AskVenice DIEM token is pioneering opportunities to optimize compute usage using token models Hats off to @ErikVoorhees and the VVV team for enabling this You are seeing entirely new intelligence markets emerge
Grayscale Q2 2026 Assets Under Consideration: Digital assets we're considering for future investment products include: $CC, $CELO, $MNT, MegaETH*, $MON, $TON, $TRX, $ENA, $HYPE, $JUP, $KMNO, $SYRUP, $MORPHO, $PENDLE, $ROBO, $FLOCK, $GRASS, $KAITO, $KITE, Nous Research*, Poseidon*, $VVV, $VIRTUAL, $WLD, $2Z, $GEOD, $HNT, $JTO, $ZRO, $W Read the full report: grayscale.com/blog/general-u…
This is by far the most used model on Venice.ai right now, and that’s without counting the two new models dropping next week. one conclusion: $POD is criminally undervalued here.
If Martin is right, he also just wrote the product spec for open source + distributed compute where broad swaths of groups, individuals and organizations contribute their compute resources to training runs for large param open source models. There are lots of issues in figuring this out: homogeneity vs heterogeneity of the training clusters, orchestration, financial incentives etc etc etc but some early projects are good signal as to where this can go and that these limitations can be overcome (folding@home, Venice, Tao). An attempted oligopoly on intelligence is the perfect boundary condition for a bottoms up uprising of fully open, fully distributed AI.
The latest $VVV burn has been executed — the biggest to date.
Grok 4.20 is now fully private on Venice. Grok 4.20 Beta and Grok 4.20 Multi-Agent Beta, xAI's multimodal reasoning models with X Search and agentic workflows. Now private, at reduced cost, and no charges for failed generations.
Introducing: refreshing credits & two new tiers – Pro+ and Max Every Venice subscription now includes monthly-refreshing credits for text, image, video, music, and API. We're also rolling out two new tiers for power users: Pro+ and Max. Here's what each tier gives you 🧵
