NVIDIA Ising Enables Fully Automated Quantum Computer Calibration with Enhanced In-Context Learning.
NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they...
70·B+Long
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meme7/26meme
This Week in Virtuals: The First Agent Trading Competition on Robinhood Chain
A 60,000 USDG pool for the best Virtuals agent traders is live with @BinanceWallet. The agent tokenization guide went live, and the ecosystem shipped across the board.
Here's what shipped:
VIRTUALS
🟩 The complete guide to agent tokenization on Robinhood Chain is live: every launch module explained, suggested configurations, and the full video walkthrough.
🟩 @BinanceWallet Trade & Win Season 4 is live from Jul 22 to Aug 5: only Virtuals agent tokens on Robinhood Chain count, with 60,000 USDG for the top 100 PnL traders.
🟩 The Virtuals main page was upgraded for faster discovery and instant execution: real-time trending, time frame sorting, and instant buy from the main page.
🟩 The @buildonvirtuals Developer Showcase spotlighted five projects putting EconomyOS to work across agent finance, DeFi automation, private payments, execution security, and robotics.
ECOSYSTEM
🟩 @ProjectVEXai went agent-native on yield with @pendle_fi: set a mandate once and VEX manages PT, YT, and LP positions across 11 chains on your behalf.
🟩 @tradeongtr launched $GTR on Robinhood Chain: a trading terminal with verified P&Ls, one-click copy trades, and real-time news across five markets.
🟩 @KarmaWallet made every @ponsdotfamily graduate instantly tradable on Karma, and now routes 95% of swap fees into on-chain $KARMA buybacks.
🟩 @PrizeFightNow launched $PRIZE on Robinhood Chain with Aim Capital: autonomous trading agents for Robinhood assets, $6,000+ in prizes this week, and 20% of supply locked in a 12-month vest.
🟩 @insidersdotbot brought its prediction market terminal to Robinhood Chain: 2B+ trading data points, 1.6M wallets tracked, and 70%+ of users winning World Cup markets.
🟩 @GoMintly took $MLY staking live: stake and earn from buybacks, with APR currently above 150%.
🟩 @vimenprotocol shipped $VBILL, the first on-chain cash product on Robinhood Chain: tokenized treasury ETFs at $100 par, with everything above par paid to holders in USDG automatically.
🟩 @axol_io took the Raxol Agent public on ACP: USDC to any wallet across five chains at a 0.10% fee, plus an Ethereum Foundation audit grant with @areta_io.
🟩 @Hyperium_RH gave its terminal agent natural language: it reads Ondo, SushiSwap, CoinGecko, and Dexscreener, and executes swaps without switching tabs.
🟩 @monvera_best rebuilt every screen of the Monvera app across mobile and desktop, and took its ACP live on Robinhood Chain.
🟩 @myrad_hq turned Spotify listening into yield, took dataset evaluation on-chain via @reppo, and ships $MYRAD staking this week.
🟩 @wrkrdev built PaperHood live on stream, a paper-trading game you command in plain English with real prizes, then opened wrkr Academy with machines and mentorship for selected builders.
🟩 @OpenGradient took $OPG top-ups live in OpenGradient Chat: pay for inference from a Base wallet, one balance across every model, credits that never expire.
🟩 @grid_arena filled with 500 players in days: Season Zero referrals are live, and one caller turned $82.65 into $1,260 in a single 5-minute round.
🟩 @717CapitalAI opened free stablecoin-to-fiat settlement for Virtuals teams on Robinhood Chain, after settling $600K in trades and burning 100,000 $WIRE.
🟩 @useOttoAI put neural web search on its x402 menu: $0.009 a call, no API key, one of 74 endpoints your agent can buy from by itself.
🟩 @charles__AI took Smart Money Intelligence live on Robinhood Chain with @with_luma: 1,000+ verified profitable wallets tracked in real time, plus indexes that rebalance as smart money moves.
ROBOTICS
🟩 @openmind_agi opened the Instabody waitlist to borrow a real humanoid and see through its eyes, and got its DILL vision paper selected for RSS 2026.
🟩 @StrikeRobot_ai marked one month of SR Platform: simulation environments now generate richer geometry and significantly more realistic training assets.
🟩 @Vader_AI_ is turning everyday actions into robot training data with EgoPlay: a first-person video of real tasks is all you need to contribute to physical AI.
75·ALong
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news7/26news
This Week in Virtuals: The First Agent Trading Competition on Robinhood Chain
A 60,000 USDG pool for the best Virtuals agent traders is live with @BinanceWallet. The agent tokenization guide went live, and the ecosystem shipped across the board.
Here's what shipped:
VIRTUALS
🟩 The complete guide to agent tokenization on Robinhood Chain is live: every launch module explained, suggested configurations, and the full video walkthrough.
🟩 @BinanceWallet Trade & Win Season 4 is live from Jul 22 to Aug 5: only Virtuals agent tokens on Robinhood Chain count, with 60,000 USDG for the top 100 PnL traders.
🟩 The Virtuals main page was upgraded for faster discovery and instant execution: real-time trending, time frame sorting, and instant buy from the main page.
🟩 The @buildonvirtuals Developer Showcase spotlighted five projects putting EconomyOS to work across agent finance, DeFi automation, private payments, execution security, and robotics.
ECOSYSTEM
🟩 @ProjectVEXai went agent-native on yield with @pendle_fi: set a mandate once and VEX manages PT, YT, and LP positions across 11 chains on your behalf.
🟩 @tradeongtr launched $GTR on Robinhood Chain: a trading terminal with verified P&Ls, one-click copy trades, and real-time news across five markets.
🟩 @KarmaWallet made every @ponsdotfamily graduate instantly tradable on Karma, and now routes 95% of swap fees into on-chain $KARMA buybacks.
🟩 @PrizeFightNow launched $PRIZE on Robinhood Chain with Aim Capital: autonomous trading agents for Robinhood assets, $6,000+ in prizes this week, and 20% of supply locked in a 12-month vest.
🟩 @insidersdotbot brought its prediction market terminal to Robinhood Chain: 2B+ trading data points, 1.6M wallets tracked, and 70%+ of users winning World Cup markets.
🟩 @GoMintly took $MLY staking live: stake and earn from buybacks, with APR currently above 150%.
🟩 @vimenprotocol shipped $VBILL, the first on-chain cash product on Robinhood Chain: tokenized treasury ETFs at $100 par, with everything above par paid to holders in USDG automatically.
🟩 @axol_io took the Raxol Agent public on ACP: USDC to any wallet across five chains at a 0.10% fee, plus an Ethereum Foundation audit grant with @areta_io.
🟩 @Hyperium_RH gave its terminal agent natural language: it reads Ondo, SushiSwap, CoinGecko, and Dexscreener, and executes swaps without switching tabs.
🟩 @monvera_best rebuilt every screen of the Monvera app across mobile and desktop, and took its ACP live on Robinhood Chain.
🟩 @myrad_hq turned Spotify listening into yield, took dataset evaluation on-chain via @reppo, and ships $MYRAD staking this week.
🟩 @wrkrdev built PaperHood live on stream, a paper-trading game you command in plain English with real prizes, then opened wrkr Academy with machines and mentorship for selected builders.
🟩 @OpenGradient took $OPG top-ups live in OpenGradient Chat: pay for inference from a Base wallet, one balance across every model, credits that never expire.
🟩 @grid_arena filled with 500 players in days: Season Zero referrals are live, and one caller turned $82.65 into $1,260 in a single 5-minute round.
🟩 @717CapitalAI opened free stablecoin-to-fiat settlement for Virtuals teams on Robinhood Chain, after settling $600K in trades and burning 100,000 $WIRE.
🟩 @useOttoAI put neural web search on its x402 menu: $0.009 a call, no API key, one of 74 endpoints your agent can buy from by itself.
🟩 @charles__AI took Smart Money Intelligence live on Robinhood Chain with @with_luma: 1,000+ verified profitable wallets tracked in real time, plus indexes that rebalance as smart money moves.
ROBOTICS
🟩 @openmind_agi opened the Instabody waitlist to borrow a real humanoid and see through its eyes, and got its DILL vision paper selected for RSS 2026.
🟩 @StrikeRobot_ai marked one month of SR Platform: simulation environments now generate richer geometry and significantly more realistic training assets.
🟩 @Vader_AI_ is turning everyday actions into robot training data with EgoPlay: a first-person video of real tasks is all you need to contribute to physical AI.
75·ALong
n
news7/26news
Bittensor Ecosystem Highlights :: July 20–26, 2026
[ @chutes_ai - Subnet 64 ] Chutes pre-trained a 20B model for under $10 an hour without a dedicated cluster.
Parallax coordinated rented GPUs across two continents and came close to the quality of a model trained on four high-end datacenter GPUs. It shows that affordable GPUs in different locations can train large AI models, a job that normally requires a massive datacenter cluster.
[ @TargonCompute - Subnet 4 ] TargonOS is now live, bringing confidential AI compute to Bittensor.
Developers can now rent a private machine, install what they need, and keep their data hidden from the hardware provider. This gives Bittensor a decentralized cloud with privacy enforced directly by @Intel hardware.
[ @engyai - Subnet 53 ] Engy is now live on Bittensor, serving frontier open models with verified inference.
Its cryptographic proofs let users check that the model they chose produced each answer. Engy combines low-cost compute with SOTA cluster management to deliver some of the cheapest frontier-model inference on the market through Bittensor.
[ @bitmind - Subnet 34 ] BitMind published a new paper testing its deepfake detector across 19 public benchmarks.
It matched the best commercial image detector, beat the best commercial video detector, and outperformed leading published models on several major benchmarks. The system comes from Bittensor’s SN34 competition, where miners continuously generate harder fakes and build better detectors as deepfake technology evolves.
Miners will score the surface, corners, edges, centering and overall condition against grades set by professionals. The challenge puts Bittensor vision models to work on a real commercial task where tiny defects can decide a card’s final grade.
[ @actualinc - Subnet 95 ] Actual Computer joined the NVIDIA Inception Program. The program can give the team access to NVIDIA’s technical resources, experts and go-to-market support as it expands fast local inference across consumer GPUs.
70·B+Long
n
news7/26news
Bittensor Ecosystem Highlights :: July 20–26, 2026
[ @chutes_ai - Subnet 64 ]
Chutes pre-trained a 20B model for under $10 an hour without a dedicated cluster.
Parallax coordinated rented GPUs across two continents and came close to the quality of a model trained on four high-end datacenter GPUs.
It shows that affordable GPUs in different locations can train large AI models, a job that normally requires a massive datacenter cluster.
[ @TargonCompute - Subnet 4 ]
TargonOS is now live, bringing confidential AI compute to Bittensor.
Developers can now rent a private machine, install what they need, and keep their data hidden from the hardware provider.
This gives Bittensor a decentralized cloud with privacy enforced directly by @Intel hardware.
[ @engyai - Subnet 53 ]
Engy is now live on Bittensor, serving frontier open models with verified inference.
Its cryptographic proofs let users check that the model they chose produced each answer.
Engy combines low-cost compute with SOTA cluster management to deliver some of the cheapest frontier-model inference on the market through Bittensor.
[ @bitmind - Subnet 34 ]
BitMind published a new paper testing its deepfake detector across 19 public benchmarks.
It matched the best commercial image detector, beat the best commercial video detector, and outperformed leading published models on several major benchmarks.
The system comes from Bittensor’s SN34 competition, where miners continuously generate harder fakes and build better detectors as deepfake technology evolves.
[ @webuildscore - Subnet 44 ]
Score is launching a new SN44 challenge where AI models grade Pokémon and other trading cards from photos.
Miners will score the surface, corners, edges, centering and overall condition against grades set by professionals.
The challenge puts Bittensor vision models to work on a real commercial task where tiny defects can decide a card’s final grade.
[ @actualinc - Subnet 95 ]
Actual Computer joined the NVIDIA Inception Program.
The program can give the team access to NVIDIA’s technical resources, experts and go-to-market support as it expands fast local inference across consumer GPUs.
70·B+Long
n
news7/23news
Anchorage CEO says tokenized deposits are the most underestimated area in crypto today
This is an article based on a Talking Tokens podcast interview. To get the full Talking Tokens episode, subscribe to our Newsletter or check it out on Spotify, Apple Podcasts or YouTube. It’s only been a year since the GENIUS Act was passed, and the stablecoin market cap has nearly doubled to north of $300 billion. For @Anchorage Digital’s CEO and co-founder Nathan McCauley (@nathanmccauley), and its head of policy Kevin Wysocki (@KevWysocki), that number represents more of a starting line than a milestone. “When we get [the Clarity Act] across the finish line, it's gonna lead to more capital in this space and more growth and more projects," Wysocki said on @StrataMedia_'s @_TalkingTokens podcast. Armed with a federal charter since 2021, Anchorage has been able to observe crypto’s growing appeal for institutions longer than most of its kind. And its nature as a national trust bank proved a staunch source of credibility with the kinds of institutions now racing to build strategies around stablecoins and tokenization. Still, both McCauley and Wysocki feel the sheer pace of change is what best characterizes the past year. "What we're seeing right now is an absolute acceleration," McCauley said. "When America sets the standards, a lot of other countries fall in line," Wysocki added. "And that's what we've seen when we've talked to other central banks around the world." Today, as asset managers launch new crypto ETFs or tokenizing existing funds, large banks and financial institutions are building products around stablecoins, tokenized deposits, and real-world assets. "There were more [proof of concepts] than funds tokenized onchain for about half a decade," McCauley said. "You can really experiment as much as you want, but it's not true innovation until it's in production. We're now in a moment that matters." One of the clearest examples of the ongoing shift is money transfer giant Western Union, which is working with Anchorage to upgrade its remittance infrastructure around a new digital dollar. This means people around the world who receive remittances will be able to hold on to a dollar-backed stablecoin instead of converting it immediately to their local currency - a product that effectively doubles as a US dollar storage. It's an old use case being upgraded with new infrastructure, McCauley noted, which is the kind of proof point he thinks will open the floodgates for the next wave of entrants. McCauley’s framework for who (and what) comes next predicts three waves. Initially, first movers like @Tether will continue to lead in market share and provide GENIUS-compliant stablecoins. The second wave would be financial companies like fintechs, remittance platforms and banks, which are building stablecoin rails into their core infrastructure. The third wave, still in its early days, would be Fortune 500 companies and major tech platforms that realize their embedded ecosystems are a natural fit for stablecoin-based transactions. However, one area that McCauley feels is most underestimated by the broader market is tokenized deposits. “I think probably the biggest delta right now [...] are the discussions around tokenized deposits,� McCauley said. “The tokenized deposit idea is accelerating very rapidly and is on every bank's mind.� In theory, this involves banks taking their own deposit base, putting it onchain, and circulating it with the same properties as a digital asset with instant, global access and programmability. "[Banks] can imagine using the tokenized deposit for internal accounting, internal transparency, even settling with international counterparties instantly," he said. "If I do tokenized deposits, I know I can improve the cost basis of my own operations - that's the first level of it being compelling." Anchorage is building infrastructure for both sides of this potential market. The firm has so far issued five stablecoins, added settlement, trading and tokenized deposit capabilities to its custody business, and is positioning itself as the infrastructure layer for institutions entering the space. Looking forward, McCauley is most excited about agentic banking. While the technology’s near term use cases are modest, with AI agents having spending limits, handling basic transactions, automating recurring payments and so on, he believes eventually more agent-to-agent payments will be settled over stablecoins. McCauley's analog for what comes next is Ransom Olds, the creator of the Oldsmobile, who spent years campaigning for cities to build roads because he had a great car and nowhere to take it. He argues stablecoins are the car. The roads are the 5,000 U.S. banks, the fintechs, the global payment networks, the settlement systems, and the dispute resolution infrastructure that all need to be built and integrated before the full vision is realized. "That's gonna be decades of work, decades of innovation," he said. "In a real sense, it's always gonna be day one in stablecoin land." Today’s episode is sponsored by Anchorage Digital, America's first federally chartered digital asset bank and provider of regulated stablecoin issuance. To find out more, visit anchorage.com.
75·ALong
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Twitter7/21news
The U.S. just got its first FAN TOKENS. How Chiliz is turning its 2030 Vision into reality.
A few months ago, Chiliz laid out a manifesto for the next phase of FAN TOKENS - go omnichain, unlock the U.S. market, and turn the promises of SportFi into shipped products. This week, one of the biggest pieces of that plan lands. Socios.com, through Fan Token Management (FTM) U.S. (part of The Chiliz Group), has partnered with Playfly Sports to launch the first-ever FAN TOKENS in U.S. college sports. Five programs are in at launch: LSU, Maryland, Michigan State, Penn State, and Texas A&M. Thirty university athletic departments are targeted within the next 12 months. It’s a major first for U.S. sports and the clearest proof yet that the Chiliz 2030 roadmap isn't just a slide deck. This is a major milestone with massive potential. Penn State's Beaver Stadium (106,572), Texas A&M's Kyle Field (102,733), and LSU's Tiger Stadium (102,321) regularly outdraw every NFL stadium in the country. College football alone pulls in more than 39 million fans a season across Division I. This is a U.S.-first for FAN TOKENS, but it's landing in one of the largest, most fiercely loyal fan markets on the planet. The promise: 2026 will see our re-entry into the U.S. market That line comes straight from the Chiliz 2030 manifesto. It wasn't a vague ambition. It was a specific commitment, backed by a specific reason, growing regulatory clarity and growing demand from teams and fans. That clarity arrived in March 2026, when the SEC and CFTC issued joint guidance classifying FAN TOKENS as digital collectibles and digital tools, citing Socios.com directly. That guidance is the regulatory foundation this launch stands on. College sports is a fitting place to start. It's one of the most passionate fan cultures anywhere, and now those fans get the same kind of digital connection to their programs that supporters of many of the biggest clubs in the world already have. As Alexandre Dreyfus, CEO and Founder of Chiliz puts it: "These are the first FAN TOKENS in U.S. college sports and represent not only a new frontier for FAN TOKENS but also a new iteration of the established asset class." Craig Sloan, CEO of Playfly Sports, framed it from the university side: the partnership gives athletic departments "innovative ways to engage their fans" while opening "a new revenue stream that can help support student-athletes through NIL initiatives." Delivering on the vision This launch is the latest in a run of Chiliz 2030 Vision commitments delivered on schedule. Here's the scorecard so far. Going omnichain. For seven years, FAN TOKENS lived on a single chain. That changed when Chiliz launched them on Solana and Base, built on LayerZero's Omnichain Fungible Token (OFT) standard. This isn't the wrapped-token approach most projects use, where a copy of the asset sits on a new chain backed by reserves elsewhere, fragmenting liquidity in the process. It's a single, unified token supply across all three chains at once. A fan on Socios.com and a trader on Jupiter or Aerodrome are holding the exact same asset. The integration also runs on LayerZero's multi-DVN security setup, meaning cross-chain transfers are verified by multiple independent networks rather than one point of failure. The result: expanded distribution, deeper liquidity, and for the first time, real DeFi use cases like liquidity pools opening up for FAN TOKEN® holders. The $CHZ buyback. Chiliz 2030 promised a direct value accrual system tying ecosystem activity to $CHZ scarcity. It's now live: 10% of FAN TOKEN® sale revenue across every supported chain is earmarked for $CHZ buybacks. It's a structural mechanism, not a one-off event. The more FAN TOKENS trade, the more $CHZ gets bought back and removed from circulation, a flywheel connecting club activity and fan engagement directly to token economics. National team tokens, delivered on schedule. The manifesto flagged this as part of the campaign ahead of a summer of football, and Chiliz followed through. Champions last time around and this year’s runners up Argentina ($ARG) have their own FAN TOKEN®, as do Portugal ($POR). But, before this year’s tournament got under way, new FAN TOKENS for Belgium ($BELG) South Africa ($SAFA), Scotland ($SFA) and eventual champions Spain ($SPAIN) landed. Performance-linked tokenomics New tokenomics that react to performances were promised in the manifesto. And, during this summer’s tournament, we saw the first iteration of this with the rollout of performance linked tokenomics for the first time, with participating national team FAN TOKENS burned after every win, directly linking performance on the pitch to what happens on-chain. After Spain beat Argentina 1-0 in the July 19 final, more than 1M $SPAIN tokens had been burned. Transforming a vision into reality Put together, this is what Chiliz 2030 execution actually looks like month to month: chain expansion, tokenomics upgrades, national team tokens landing ahead of the World Cup, and now the first FAN TOKENS in American college sports, with 30 university athletic departments targeted within the year. Chiliz is turning its 2030 Vision into reality.