Investment tycoon Bill Ackman: Supports Trump and Musk, stating that their alliance benefits both, while their separation harms both.

CITIC Securities: Positive policy expectations for stablecoins are favorable for the upward trend of cryptocurrencies

Here is the translated content: Two gentle reminders: you have until 11:59 PM UTC on Thursday, June 5th to connect your wallets to @KaitoAI if you have staked or YT $KAITO in a different wallet than your Genesis NFT (Yapybara). Also, linking wallets is not yet live on Infinex, going live for Patron testing today.

Trump Personally Admits: No Chance for Russia-Ukraine Ceasefire, Let Them Keep Fighting

Which community has been bringing good vibes to the on-chain space lately?

What’s your crypto market insight?

Uber CEO: Considering Using Stablecoins to Reduce Operating Costs

Here is the translated content: #Bitcoin https://t.co/LnaCLLQ7cW <img src="https://static.sosovalue.com/sosovalue/2025/06/06/9ef675dc-741e-401d-9ef9-cd92fcfb8656.jpg"/>

tryna say something? @s0mcs https://t.co/uWnmWsWMiW<br><img src="https://static.sosovalue.com/sosovalue/2025/06/06/1ac4bf5e-7900-44de-b8ae-123ce9a47f72.jpg"/>

Data: Circle's after-hours price closed at $87.71, with a daily trading volume exceeding $47 million.

Arthur Hayes: Circle's IPO Spurs Crypto IPO Boom, Ultimately Ending Like the EOS Incident

Doomed

Musk announces retirement of SpaceX Dragon spacecraft

It’s easy to see it as Amiable vs Candid.<br><br>But real growth? It lives in the middle.<br><br>Be soft. Be bold. Be both. https://t.co/lwyD6zIaa4<br><img src="https://static.sosovalue.com/sosovalue/2025/06/06/388eb04b-fa61-4ff5-b44b-d8758f2b6120.jpg"/>

A Housecoin whale just bought $3,920 worth of PVE at a market cap of $5.24 million 🐳 https://t.co/PaAqSOiziL

CME Group CEO: Systemically important banks should have the capability to issue stablecoins

The Cryptocurrency Fear and Greed Index has dropped to 45, entering the "Fear" zone.

JUST PULLED 💎 Giratina VSTAR. Black Label. Pop 15. 😤🔥 https://t.co/uPIpxLi1Dn <img src="https://static.sosovalue.com/sosovalue/2025/06/06/c9da3d00-18b4-4263-af34-42e4f5341afb.jpg"/>

Former Senior Advisor to Trump Calls for Thorough Investigation of Musk and Deportation

Our #NYTechWeek series just concluded with a deep dive into RWAs—highlighting key pain points and major opportunities. @laoganpapi moderated the discussion with: Justin Shaw | @chainlink Tokenization Lead @Ghoul_Luft | @RepublicCrypto Tokenization Senior Director @mirza | @injective Head of Business Development Special thank you for joining everyone who joined us in NYC during @Techweek_ — recap on the way! 🙌 <img src="https://static.sosovalue.com/sosovalue/2025/06/06/244e82bf-4c81-4fa4-87cb-e5a2b1e2cb64.jpg"/>

Here is the translated text in English: Coins trending on https://t.co/CBh9x8ryhh over the last hour: 1. $MUSK 2. $House 3. $MOBY 4. $ELON 5. $PVE

BlackRock invests 357 million USD to purchase Bitcoin and Ethereum, showing a divergent trend in whale behavior

What Is Algo Trading and How Does It Work? Uses computer programs to automate buying and selling based on preset strategies. Read more 👇 https://t.co/FqaDlfi2GK

New xBTC learn and earn opportunity with @okx = Unlocked 🔓 The time to discover why Aptos is best for BTCfi is now. Tap in for more details

⚠️30 Minute Alert: S2E2 of The Birdhouse

A $Hosico cat whale just bought $5,330 worth of $Hosico at a market cap of $9.71 million. 🐳 https://t.co/HOngRw1W1Z

A $USELESS whale just bought $4.80K of $MUSK at $2.84M MC 🐳 https://t.co/Yz9NvrHqDR

Here is the translated content in English: What’s the best ApeChain NFT in your wallet?<br><br>Show us your favorite and let’s see who’s really winning this meta 👀<br><br>@ApeChainHUB @apecoin<br><img src="https://static.sosovalue.com/sosovalue/2025/06/05/aaaea4d4-735a-46d0-a5f7-bbd40da6ab3b.jpg"/>

Another milestone at Childress! $IREN's second 345kV / 138kV transformer has arrived on site. David Shaw, Chief Operating Officer, commented, “The procurement of this bulk substation transformer amid global supply constraints demonstrates the strength of our infrastructure team and the depth of our supplier relationships. In addition to supporting future expansion at Childress, the transformer adds redundancy and reinforces the resilience of our high-voltage platform as we scale towards 750MW of data center capacity.”

California’s AB 1052 has just passed the State Assembly. The bill protects crypto from forced liquidation… but puts it under state control if you don’t log into your account for three years. What’s the real risk here? Get the verified story, then vote 👇 https://t.co/rsgWvSpGwQ

🐼 Panda of the Week: @ErturulSEZAR13 🐼 Ertu is enjoying retirement on the coast of Muğla, where his passion for Web3 was rekindled through NFTs and community connections. A longtime airdrop hunter and Kolektif member, he found his way to Moso and never looked back. 💫 https://t.co/tBraGaS0PJ <img src="https://static.sosovalue.com/sosovalue/2025/06/06/6bc00736-381a-460f-8627-f507f3262b42.jpg"/>

Here is the translation of the provided content into English: "Here's what you need to know about the Trump-Musk friendship #bitcoin https://t.co/MryV4Z68CU"

James Wynn's long BTC position was liquidated, with losses reaching 20.50 million USD within two weeks.

Join our space with @cryptobraveHQ, @softlipa1018, @chochou33, and @Cybereastern as we talk “Building through the 💩”. 🚽 Giving away 20 whitelist spots for the SUNDOG POO NFT. Don’t miss it. 👉 Set your reminders: https://t.co/YUMHU7CTr5 ⏳ June 6th, 12 PM UTC

Elon Musk Reveals: Trump in Epstein's Files

No gas? No problem. This is how mobile Web3

Silicon Valley Angel Investor Naval: Musk Has Principles, Trump Is More Pragmatic

Renowned Angel Investor Naval: Musk Has Principles, Trump Is More Pragmatic

Good luck to all players!

Forecasting real estate prices in volatile or underserved regions is a high-variance problem. Sparse data, shifting local conditions, and nonlinear shocks cause traditional models to misfire or overfit. Static models—even ensembles—struggle in low-liquidity environments because they lack adaptivity. When ground truth distributions shift, yesterday’s model performance becomes a poor signal of tomorrow’s. Allora addresses this using a decentralized forecasting protocol. Within this structure, each worker can: • Submit an inference for a target variable (e.g., future price) • Forecast the loss (expected error) of other workers’ inferences under current conditions These second-order predictions—loss forecasts—are essential. They allow Allora to generate forecast-implied inferences: • Weighted combinations of primary inferences • Informed by context-aware expectations of accuracy from peer forecasters This leads to a network-level mechanism known as Inference Synthesis. Unlike static ensemble techniques, Allora reweights each contribution based on: • Historical performance • Real-time, contextual loss forecasts • Predicted regret: the expected shortfall of a worker’s inference versus the network’s past performance The weights are determined using a smooth potential function applied to normalized regrets. This yields dynamic inference weights that favor models likely to perform well under current conditions. The system doesn’t assume stationarity. It learns where predictive accuracy is likely to concentrate—using real-time assessments from competing workers—and shifts aggregation toward those workers in a given context. This adaptivity is particularly powerful in fragmented real estate markets, such as: • Rural and peri-urban areas • Zones undergoing regulatory or infrastructural transformation • Geographies where transaction data is delayed or unreliable Crucially, Allora’s structure allows contributors with niche models or hyperlocal insights to participate meaningfully. Its reward structure ties compensation to: • Unique contribution to network accuracy • Not stake, reputation, or frequency of participation This means the system doesn't reward volume, but marginal utility. No single model dominates in Allora. Instead: • The network synthesizes a context-aware intelligence layer • It reflects the most effective predictive elements at any moment in time • It improves continually as new patterns, contributors, and conditions arise Historically, real estate markets have suffered from information asymmetries. Access to high-quality forecasts has been gated by data centralization, proprietary tooling, or geographic privilege. Allora changes that dynamic: • Intelligence is decentralized • Performance governs visibility • Adaptivity is built-in at the protocol level By design, Allora enables actionable forecasting in places that static models cannot serve—urban fringe zones, remote townships, or rapidly transitioning micro-markets. In these environments, volatility is not just noise—it is often the signal. The future of real estate inference is not about discovering a single “perfect” model. It’s about designing systems that: • Continuously learn which models to trust, when • Adapt structurally to dynamic data environments • Incentivize useful contributions from anyone, anywhere Allora does exactly this—turning volatility from a liability into a structural advantage. <img src="https://static.sosovalue.com/sosovalue/2025/06/05/3c796d68-306b-4e9f-916a-3af1d5fb8a06.jpg"/>