#DG_SorryChallenge# Blame it on the beat. “I’m SORRY, it’s not my fault fault fault” 🥵 @JAYBUMAOM #박재범# #JayPark# @millimdk @flowerfarr @galchanie #DREAMGALS# @officialyupp #YUPP#

"Dreamgate Special" Arc Research Program Coming Soon The "Dreamgate Special" Arc Research Program is coming soon, with boosted rates on the exclusive S-class Arc "The Wrong Gate"! ▸ Available July 29, 2026 (after update) – August 19, 2026, 05:59 (UTC+8) ▸ Unlock Requirement Complete the Episode Quest "Prologue: A New Destination - Head to Eibon Antique Shop" ▸ Details 1. The "Dreamgate Special" Arc Research Program runs for a limited time. Spend Tri-Keys or Dreamgate Keys to take part and claim the program rewards. 2. During the event, the drop rate for the S-class Arc "The Wrong Gate" is greatly increased! 3. The "Dreamgate Special" Arc Research Program uses "Limited Issue" pulls. Each pull grants 10 Arcs of random rarity. 4. All "Limited Issue" pulls share the same Arc pity counter. 5. During the "Dreamgate Special" program, an S-class Arc is guaranteed within 6 pulls, and the featured S-class Arc "The Wrong Gate" is guaranteed within 8 pulls. Pity counts are permanent and carry over to other "Limited Issue" type Arc Research Programs. 6. "The Wrong Gate" is currently only available through the "Dreamgate Special" Arc Research Program, with no other ways to obtain it planned at this time. *For full details, head to Arc Shop › Arc Research Program in-game. Ver.1.2 "999 Nights" is now live! Download Now >> #NTE# #NevernesstoEverness# #Iroi#

Protocols That Burned the Most $HYPE 🔥 ▫️Trade[XYZ]- @tradexyz ▫️HyENA - @hyenatrade ▫️Paragon - @tradeparagon ▫️Kinetiq Markets - @Kinetiq_xyz ▫️Ventuals - @ventuals ▫️Felix - @felixprotocol ▫️Dreamcash- @Dreamcash ▫️EntropyIO - @entropyIO ▫️Unit - @unitxyz

MachineFun was designed to remove the speculative friction from what we think will be one of the highest-growth sectors of the coming decade: Robotics. One of the most heavily funded corners of robotics over the past two years has been robot brains, the AI models that let a robot see, decide and move, with roughly $5B raised by its best-known developers since 2024. One company in this field just had a breakthrough. @dreamlabs_ai, a 12-person robotics lab, released Dream-1, a new kind of model they call a World Action Model. It learns how the world moves from video and uses that to control a robot through a simple API, meaning any developer can plug into it the way they'd plug into ChatGPT. That kind of tooling opens doors for hardware companies that were stuck before. @makermodsai, which sells $2k robot arms, says theirs was up and running in a few minutes and "attempting tasks we never programmed." Teaching a robot one task used to take specialists months, and now it's starting to feel as quick as prompting an LLM. Breakthroughs like this are happening almost daily in robotics, but for anyone outside the industry they've been nearly impossible to get involved in. Dream alone raised a $90M first round, and none of it was open to the public. We've seen where this leads. When AI models became something you could call through an API, a wave of smaller startups got built on top of them, and plenty of YC companies got funded that way. Robotics is starting down the same road. @physical_int, another lab building robot brains, recently opened its own API to outside teams. Almond, a company that builds a robot called Axol, used it to teach Axol to smooth rough edges off metal parts for its own assembly line, and it took only 4 days. Examples like these are why we built MachineFun. As bottlenecks unlock and hardware gets more efficient, businesses that didn't make economic sense before can turn into real revenue almost overnight. Letting teams raise publicly for their ideas is the first step toward an open source robotics hub. We know funding alone isn't enough, though, so we've built a foundry network with @peaq and @codecopenflow to back high-agency teams taking their ideas into the real world with peaqOS and SimArena. As foundation model, tooling, benchmarks and onchain economies keep scaling, MachineFun wants to sit at the center of it, with developers building in public and traders getting in early through speculation.

In 1995 Nvidia $NVDA was 6 months from dead. They’d bet on the wrong graphics method, Microsoft made triangles the standard with DirectX, and the Sega contract they were building for fell apart. Shoichiro Irimajiri at Sega put $5 million in anyway. Huang has said outright that without it Nvidia wouldn’t exist. That money bought them 6 months. They used it to build the RIVA 128, which shipped in 1997 and sold a million units in 4 months. Nvidia IPO’d in 1999 at $12 a share, valued at $300 million. Sega sold the whole stake for $15 million. Tripled their money. Perfectly sensible decision at the time, and Sega needed the cash because the Dreamcast was failing. Huang’s estimate is that stake would be worth about $1 trillion now. The two of them were back together in a Tokyo arcade in July, 30 years on. Huang thanked Irimajiri in person. Worth remembering Sega didn’t do anything stupid here. They 3x’d an investment in a company that had nearly died. Almost anyone would have taken it. That’s the part people miss about these stories. The mistake is never obvious at the time…

This Week in Virtuals: Copy Trade Anything on X, Now on Android Paste a quant’s X post and Butler copy trades it 24/7. Set rules for events like FOMC and it trades them. It guards your portfolio on every US macro release. Plus Eastworlds’ public robot arm and ecosystem buybacks. VIRTUALS 🟩 Every chain, in your pocket: Virtuals App is now on Android in closed beta on Google Play. 🟩 Macro events, traded your way: give Butler your plan for a decision like FOMC. Hold, long BTC. Hike, short BTC. Take profit at 5%, stop at 2%. Virtuals App can now manage your entire portfolio through every US macro release. 🟩 Paste a quant’s strategy, Butler runs it: a 1.5 Sharpe short needs someone watching new listings 24/7, waiting for confirmation and holding a hard stop. Copy the X post into Butler and it runs on its own after one approval. No screen watching. 🟩 Describe it, Butler builds it: a sniper-wallet dashboard, a wallet finder or a copy-trading setup, on any chain, reusing verified skills from its library when one fits. For assets like Quantus, it routes through @near_intents. No bridges, no new wallets. 🟩 @eastworlds_io, Virtuals’ robotics and data division, deployed @dreamlabs_ai’s Dream-1 zero-shot in a lab it configured independently. Anyone can now give its robot a task from their browser and see how it responds. ECOSYSTEM 🟩 @grid_arena became an official part of the @Ondo ecosystem, adding 450+ Ondo Stocks after $12M+ in @OndoPerps volume. It also bought back and burned over 1% of its token supply with that revenue, now on a regular, automatic basis. 🟩 @LighthouseWeb3 launched Lighthouse Brains on Robinhood Chain, so you can publish your second brain as a graph anyone can explore, while private memories stay locked. 🟩 @itsovercall opened @global_dollar USDG channels to everyone with no stake needed for a limited time and listed CASHCAT, as its vault passed 3,500 settled positions, paying every winner and staying in profit. 🟩 @reppo’s Foundation ran more buybacks from x402 revenue and launched a public buyback and burn tracker, as evals grew 4x to 2.74K in their first month. 🟩 @ProjectVEXai shared a battle test report of its agents autonomously trading BTC’s downside in internal testing with real funds, as its biggest upgrade gets underway. 🟩 @useOttoAI had its Uniswap v4 hook on Robinhood Chain approved by @0xProject, with about one in five swaps in its tokenized stock pools coming through 0x’s router in a day. Its public hook launch is coming soon. 🟩 @PlayKindra shipped the IRONWAKE Firepower Update with three new tanks, four modules and a new map, added @TrustWallet sign-in, opened The Gloamwood and released eight new free-to-play games. 🟩 @sibyl_labs_ made Sibyl Memory compatible with LangGraph through SibylStore, giving agents a home for long-term facts across threads, while its graph structure is built into the plugin. 🟩 @KarmaWallet added @XLayerOfficial, so you can trade X Layer tokens next to your Solana and Base positions, and now sends every Solana swap as a v1 transaction through @dflow. 🟩 @ethy_agent added What’s New to its app to explore every new indicator, strategy and feature, with V3 getting closer. 🟩 @wardenprotocol brought Base to Token Terminal, with token discovery and gasless trading after a quick social sign-up. 🟩 @myrad_hq’s datanet on @reppo scored 99.1 for quality with 99.7% evaluator agreement, ranking top 3 on Base, and 19,251 people have now contributed data. 🟩 @xmaquina published its Robotics Treasury Report Vol. 2 covering 9 portfolio companies, and said RCM Protocol, bringing private robotics markets onchain, is coming in November.

►HIP3 Deployer Economy - Where The Yield Comes From Spent a lot of time trying to understand where the yield actually comes from for a HIP-3 deployer, and I got that ppl are mixing 3 completely different things together. → staking yield on the 500k $HYPE. → actual fee income from running markets. → whatever strategic upside comes from subsidies, distribution, collateral adoption. Let’s look at the picture piece by piece. 1/ A deployer needs 500k HYPE staked = ~$40M at the current $HYPE price. It can still earn ~2.4% staking APR = ~$960k/year, or ~$80k/month, before validator commission. So the deployer is still long HYPE and still earning staking rewards. The real cost is locking up liquidity, ~7-day unstake friction, slashing/tail risk, $HYPE downside + the actual cost of operating the exchange. 2/ The incremental business created by HIP-3 mostly comes from trading fees. Very simplified, $1B taker volume can generate around $225k for the deployer at 4.5 bps. Funding isn’t extra revenue btw. But new markets can cut fees by ~90% to get liquidity going, taking deployer revenue toward ~$22.5k per $1B. Who is actually reaching scale? – @tradexyz: $87B volume over the last 30d with $3.4B OI. – @Dreamcash: $78.4M – @entropyIO: $307M / $9.6M OI – @tradeparagon: $148M / $12M OI controls ~99.5% of current HIP-3 volume, OI and fees among the tracked deployers. It’s one scaled exchange + a bunch of experiments rather than an ecosystem of equal deployers. Only economics show that HIP-3 absolutely can become a great cash-flow business once the liquidity flywheel exists. Their edge also comes from deploying when $HYPE was around $30. Meanwhile every new competitor might enter at ~2.6x the capital cost to compete with the guy who already has 99% of the flow. Even inside the returns look insanely power-lawed. One XYZ100 market was doing ~95% of the whole exchange’s volume. Does the data basically say each deployer only needs one ticker winner? Dreamcash shows what happens when you try to manufacture that with subsidies. – $23.2B cumulative volume – $850K earned from deployer share. Tether meanwhile was reportedly subsidizing trading by $200k/week = ~$10.4M annualized subsidy. So Dreamcash wasn’t really proving HIP-3 deployer yield. @felixprotocol did $3.54B lifetime volume. Once listed equivalent markets using deeper USDC liquidity, the flow basically disappeared. Being first to discover a market isn’t a moat if someone with 50x your distribution can clone the trade. Entropy is maybe the most interesting version of this. Raised ~$14Mand instead of trying to list 100 generic markets it went after weird stuff like Anthropic pre-IPO exposure. Their thesis may be that if pre-IPO markets scale to $5B–$20B–$50B monthly volume, being the place that owns the early price discovery could become a very profitable deployer business. When deployers compete to find product-market fit, the structure seems designed to make $HYPE the most obvious winner. → if more deployers win, more fees + more volume + more $HYPE demand. → if one dies, Hyperliquid already collected its share and someone else can try the market. After many deployers come and go, I think someone with 500K $HYPE can’t win without a distribution edge or a market unique enough to defend.