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感覺比較少中文圈的人玩 NFT ，今日寫一下中文給大家分享一下項目～ @mdv_btc 他們之前是在 BTC，這次直接換到來以太坊跟 OpenSea 上發 這次做的新項目 ACCRETION，我覺得做法滿聰明的！ 簡單來講就是他把一個活的 3D 小世界放到 OpenSea ！ 你們可以開網頁用滑鼠就能直接轉視角，最扯就是還可以切換成第一人稱，點進 OpenSea 頁面就可以切啦，直接走到你自己的 NFT 裡散步！裡頭有巨大的岩石、地形，還有各種奇奇怪怪的小生物。 我自己覺得有幾個很可愛的設計 第一個是它會出賣你到底是不是「鑽石手」！ 這個小世界慢慢跟著時間長大，但只要你把這個 NFT 賣了，又或者在自己錢包轉移一下，世界的地就會直接被砸出一個大坑！轉手越多次、坑就越多。 第二個是可以疊高高衝排行榜： 每個小世界能自己長高的高度是有限的，但如果你想去排行榜高的話，你可以收其他人的小世界，把別人的高度全部轉過來、放到自己的主塔裡就越疊越高啦，所以抽乾的世界就變成小矮子囉。 第三個是抽寵物 你在裡面轉動的時候可以順便摸彩抽生物，有石頭人、火鳳凰、還有眼睛發光的激光牛跟朋克頭，總共有 9 種。每個世界同一種寵物只能留一隻。 而且每兩個禮拜結算一次賽季，如果你的塔在那一季衝到前幾名，你的 NFT 在 OpenSea 上會有金光特效，感覺好厲害HAHHA ！ 現在 Mint 價就是 0.003 ETH，換算下來大概就兩杯手搖飲的錢吧？嘿嘿~ 基本資訊我幫大家整理在這邊： ▫️總量：3,333 個 ▫️價格：0.003 ETH ▫️時間：10 月 8 號開 ▫️平台：ETH/ OpenSea 你們有興趣可以去他官網點點看，直接用滑鼠滑一下那個 3D 效果，就知道我在講什麼了！

NEW: Stord’s $3B Bet on Robotics, AI & Physical Infrastructure From Thiel Fellow at 19 to building a $1B+ revenue business Founder & CEO Sean Henry (@seanhenry) @GetSTORD stats: › 100M packages/year › ~$20B in GMV › $1B+ revenue this year, after 10Xing in 4 years › 8B operational data points The goal is to level the playing field with Amazon Prime for the other 2/3 of commerce on the internet. I sat down with Sean in Cap Ferrat to talk about the company's $250M Series F, its massive bet on robotics & AI, plus why he believes the biggest value from this technology may ultimately accrue to physical businesses, not the AI and robotics companies themselves. We get into: › The data advantage behind 100M packages a year › Why humanoids may be the wrong form factor for warehouses › How acquisitions & vertical integration are accelerating Stord's scale › Going from Thiel Fellow at 19 to building a $1B+ revenue business Sean also explains the flywheel behind Stord: more volume creates greater density, lower costs and faster delivery, which in turn makes the company more competitive as it scales. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Sean Henry, Founder & CEO at Stord (00:41) What Stord is building in logistics (02:42) Why robotics is finally ready for the real world (04:37) How Stord is teaching robots to work (06:09) Do humanoid robots actually make sense? (07:20) Why owning the whole supply chain matters (10:01) The problem that started Stord (11:53) The Thiel Fellowship lesson: Build a monopoly (13:10) Hot take: Why AI and robotics will become commodities

The open vs closed source race is a price war. Since June, the average paid token from OpenAI got 62% cheaper. DeepSeek: −51%. Google: −29%. Anthropic: −11%. Over the same three months, Ornn has tracked B200 rent rising 50%. H200 rose 28%. Models are getting cheaper to buy. The compute to run them is getting more expensive to rent. So where does value accrue? To whoever owns the compute. The cheapest open-weight model finishes a task for about 1/5 the cost of a comparable closed model, and they don't need the newest chips. Every GPU is a shovel when the models are free. See more at

We are excited to announce four updates regarding the Ethena ecosystem, further details on each point are provided in the blog linked below: 1. Buyout of early investors: The Ethena Foundation executed a buyout of all locked tokens from certain major seed investors that sold any ENA within the last 9 months. 2. Alignment of Token & Equity: The Ethena Foundation and Ethena Labs have reached agreement on a Master Framework Agreement, whereby IP and ownership of value accrued by the protocol is assigned to the Foundation exclusively and governed by token holders with no residual cash flow due to equity investors in the Labs entity. 3. Revenue Buybacks: Governance proposal now live for the implementation of the fee switch whereby net revenue accrued across all business lines under the Ethena brand will be used to programmatically buy back the ENA token. The vote for revenue buyback fee switch implementation is now here, and has already been approved by the Risk Committee: 4. Removal of monthly VC unlocks: The Ethena Foundation and lead investors have agreed to eliminate future overhang associated with monthly VC investor unlocks by releasing unvested tokens. All team tokens remain locked per the original vesting schedules. Further details and documentation is provided in the blog linked below:

Today I’m targeting giving users an additional interface with a different styling pathway for direct access only to Launchpad features. The launch pad will feature 3 modes Degen mode : no tax - no buffer straight bonding curve Degen mode hybrid : snipe tax\buffer where at the end of the countdown/decay launches go into Degen modem Smart launch mode : anti-snipe + optional buffer and BYO(bring your own token) for large teams with professional launches A portion of the fee flow from all these launches will go into a Stonkbrokers ICO Boost pool ,after one week or after the pool accrues the first $1,000,000 the process of purchasing a random token from the launchpad will begin based on qualifications including total 24 hour volume/holder count/and token age. Updated public TG link for Stonkbrokers and dedicated chat for the Stonk Launchpad is below.

"Where are my rewards?" The most asked question since Aqua incentives went live. The answer is a timeline. A season runs for one week. Rewards accrue the whole time. Totals lock when the season ends and claiming opens after that - you collect directly on Aqua or on Merkl. Zero mid-season means the count is still running, not that something broke.

Buzz is not a slack killer. It’s much bigger. It’s the first proper multiplayer agent harness. The network effects of who wins at that layer will decide where value accrues as models commoditize. Very impressed @jack

Our Season 1: Ignite is officially live! Points have begun accruing on Monday, 20 July 2026 at 00:00 UTC. Points are distributed weekly, with the first distribution at 14:00 UTC on Tuesday, 28 July 2026. 200k points will be allocated per weekly distribution.

The story of AI in the next few years is going to be compute: an essay on the future of AI. K3 in 2 days is already #10# on OpenRouter with ~140B tok/day, and it’s infra is crumbling. Throughput is down from 30tok/s to 13tok/s, E2E latency is up to 72s and time to first token is >20s! It would cost a minimum of $500k to buy the 8 B300s it would take to serve even quantized Kimi K3 and ~$4M for the more recommended GB300 NVL72 rack. I don’t think Moonshot has the compute available to scale to their demand! In fact, even the US based inference providers will likely not be able to scale capacity as much as they’d like even if they were to host it: a 2.8T model is no joke. GPU providers (neoclouds etc) are doing 3yr and I recently hear 5yr commits with an ungodly 30% down, and customers are chomping it up. Prices continue to go to the moon. The two big labs, hyperscaler clouds, Grok and Meta have compute deals locked in prior, and the rest are fighting for scraps. Tier 1 neoclouds (coreweave/nebius etc) are rumored to not even small “smaller” customers. Meta is the biggest wildcard here. With ~7GW of compute by eoy 2026 and no clear big model ties, they either get to frontier on their own or can host the most Kimi K3 capacity (unless they sell it to the labs). Even though the price of models has fallen over time, it’s worth noting that the price of frontier has not. 3yrs ago, GPT-4 released at $60/M, o1 at $60/M, Opus 4 at $75/M, GPT5 at $10/M, Fable at $50/M and now Sol at $30/M and K3 at $15/M. Even if you consider K3 frontier, that’s only a 4-5x flux in 3yrs. In that time, frontier demand has increased at least 3+ ooms and frontier intelligence performance has gone 32x at least by task time by METR. Essentially, so long as a) the demand for frontier intelligence continues to grow to near infinity, b) the frontier continues to grow in performance, even as c) if the price of frontier declines a little, the value accrued to frontier grows significantly! And there’s a tremendous bull case for those who have locked up compute if you’re bitter lesson pilled and believe larger models will always be smarter models.