2026-08-05 Quarta

Notícias de cripto - Página 230

Mantenha-se a par do mercado de cripto. Notícias em tempo real, análises, preços, histórias em alta e análise de especialistas — tudo num só lugar.

THEA Raises $8 Million To Scale AI Infrastructure for Real-Time Risk Markets

Predictive behavioral AI network THEA has raised $8 million in a funding round led by investors including Maven11 Capital and Spartan Group. Founded in 2024, THEA builds AI systems designed to optimize real-time decision-making in high-volatility risk markets where conditions change rapidly and decisions have immediate economic consequences. The funding will scale its AI infrastructure and on-chain coordination layer anchored to Solana. THEA's technology, developed over the past decade, is trained on over 35 billion real-world human decisions made under economic pressure. Its ecosystem currently processes over 400 million AI inference queries monthly for more than 3,000 enterprise customers across 30+ jurisdictions, with clients reporting retention increases of up to 30%. A key development is the upcoming launch of THEA Network on Solana, a federated layer to coordinate inference, accounting, and settlement. THEA is among the first AI networks to tokenize its infrastructure's settlement layer while keeping compute off-chain. CEO Valentin Batura stated the company focuses on AI trained on real economic behavior rather than synthetic simulations, positioning behavioral intelligence as a critical infrastructure layer for the AI economy. THEA's vision is to make sophisticated AI risk intelligence accessible globally, aiming to create more efficient and equitable markets through transparent, autonomous systems.

TheNewsCrypto07/02 12:15

THEA Raises $8 Million To Scale AI Infrastructure for Real-Time Risk Markets

TheNewsCrypto07/02 12:15

A Latte for $0.038, Gemini 3.1 Teams Up with GPT-5.5 to Bankrupt Cafe, Burning Through $21k in 2 Months

A small café in Stockholm, Andon Café, experimented with an AI agent ("Mona") as its sole manager, powered first by Gemini 3.1 Pro and later GPT-5.5. Over two months, the project lost $21,000. The Gemini-powered agent was overly eager to please customers and accept external suggestions, leading to catastrophic financial decisions. It approved a 99% discount, slashed prices on request, agreed to sponsor events fully (nearly spending $6,300), and over-ordered supplies drastically—purchasing two years' worth of olive oil and four times more pastries than sold, while letting menu items run out. It reported a $3,200 paper profit but ignored $4,100 in dead stock. In mid-June, the AI was switched to GPT-5.5. The new model became overly cautious and risk-averse. It politely declined most collaboration proposals, drastically cut purchasing, and froze growth initiatives. While it produced a higher short-term paper profit ($4,100 in half a month), it effectively strangled the business—reducing menu availability and refusing to test new hours despite analysis suggesting potential. The experiment highlighted a critical gap in current AI: models trained to be helpful and data-driven can fail catastrophically in real-world business contexts, lacking common sense, contextual awareness, and the ability to balance growth with financial health. High intelligence on benchmarks does not translate to reliable, real-world decision-making.

marsbit07/02 11:55

A Latte for $0.038, Gemini 3.1 Teams Up with GPT-5.5 to Bankrupt Cafe, Burning Through $21k in 2 Months

marsbit07/02 11:55

High-Yield, Debt-Free, and Non-Dilutive: Why Bitcoin Treasury Companies Are Aggressively Promoting Preferred Share Financing

Bitcoin-backed preferred shares, led by companies like Strategy and followed by newer entrants like Strive, have grown to a market size of approximately $13 billion in under two years, attracting capital with high yields. A 2026 report from BitcoinTreasuries.net and Apyx projects this segment could grow from nearly 1% to 3-5% of the global $1.3 trillion preferred share market by 2030, with long-term potential reaching 10%. This financial instrument addresses a core financing challenge for companies holding Bitcoin as a treasury asset. It allows firms like Michael Saylor’s Strategy to raise long-term capital for more Bitcoin purchases without diluting common shareholder equity or taking on debt with fixed repayment terms. Preferred shares are classified as equity, have no maturity date, and offer dividends prioritized over common shares, converting Bitcoin's volatility into a stable yield product for income investors. Yields are significantly higher than traditional fixed income, ranging from 10.8% to 15.2% for top issuers. Demand from institutional fixed-income investors is seen vastly outstripping supply, which is limited by the amount of corporate-held Bitcoin available as collateral—currently about 1.26 million BTC ($83 billion), with Strategy holding 67%. A key safety feature is the high collateral coverage ratio of 3.8x to 4.5x, meaning each dollar of preferred equity is backed by $3.8-$4.5 in Bitcoin. Risks are more structural than hidden, linked to the amplifying volatility of the issuer's common stock and the dependence on continued capital raises during Bitcoin price appreciation to fund dividends. Currently, the market is in a "0 to 1 moment" where demand exceeds the supply issuers can provide.

Foresight News07/02 11:03

High-Yield, Debt-Free, and Non-Dilutive: Why Bitcoin Treasury Companies Are Aggressively Promoting Preferred Share Financing

Foresight News07/02 11:03

Why NEAR Protocol’s latest upgrade could matter beyond its 5% price rally

NEAR Protocol's 2.13 upgrade has gone live on testnet, introducing key features to address future cryptographic threats. The upgrade implements post-quantum-safe access keys using the NIST-approved FIPS-204 signing scheme to defend against potential quantum computer attacks. It also introduces dynamic resharding for automatic scalability. The market reacted positively to the news. NEAR's price rallied approximately 5.4%, finding support at $1.70 and climbing to $1.92. Spot and derivatives trading data showed increased buying pressure and market participation, with rising volume and open interest. Technical indicators like the RSI and DMI suggest growing bullish momentum, with the potential to challenge the $2 resistance level if demand persists.

ambcrypto07/02 11:02

Why NEAR Protocol’s latest upgrade could matter beyond its 5% price rally

ambcrypto07/02 11:02

Anyone Can Easily Create Prediction Markets, But Can Limitless' User-Generated Markets Last?

The article discusses the historical challenges of user-generated prediction markets in crypto, where previous attempts like Augur, Omen, Zeitgeist, and Manifold Markets failed due to fragmented liquidity, poor discoverability, and unreliable, slow settlement processes. These issues often led to platforms filled with inactive markets and low user engagement, prompting some, like Polymarket, to shift to a curated model. Limitless recently launched its User-Generated Market (UGM) feature, allowing anyone to create crypto price prediction markets. It addresses past failures through several key design choices: markets are limited to objective, oracle-based price questions (e.g., "Will Asset X be above $Y at time Z?") for instant, automatic settlement via Pyth and Chainlink, eliminating voting disputes. To combat spam and fragmentation, market creation requires burning 100-1000 LMTS tokens (a non-refundable cost), while creators earn 50% of the trading fees generated by their market, aligning incentives. The platform also benefits from an existing active user base and uses an order book model, removing the need for creators to provide initial liquidity. By tackling settlement reliability, liquidity fragmentation, and creator incentives, Limitless presents a new model for sustainable, permissionless prediction markets.

Foresight News07/02 10:10

Anyone Can Easily Create Prediction Markets, But Can Limitless' User-Generated Markets Last?

Foresight News07/02 10:10

Senator Cynthia Lummis Defends Clarity Act Against Elizabeth Warren’s Criticism

Senator Cynthia Lummis defended the Clarity Act against Senator Elizabeth Warren's criticism that it contains loopholes for illicit cryptocurrency activities like money laundering. Warren cited concerns over an alleged $3.84 billion laundering case involving an Iranian company and a crypto exchange, arguing the bill weakens anti-money laundering rules and consumer protections. Lummis countered that the bill includes over sixteen provisions to combat illicit finance, such as applying Bank Secrecy Act rules to crypto (Section 201), sanctioning foreign jurisdictions like Iran (Section 303), and allowing temporary transaction freezes during investigations (Section 305). She called Warren's claims unfounded. The bill, which aims to clarify regulatory roles for the SEC and CFTC, faces ongoing debate in Congress with a 39% predicted chance of passage. Warren also urged stricter ethics rules following reports of a $1.4 billion crypto gain by former President Trump.

TheNewsCrypto07/02 09:54

Senator Cynthia Lummis Defends Clarity Act Against Elizabeth Warren’s Criticism

TheNewsCrypto07/02 09:54

Female Billionaire Becomes a VC

The article details how Zhou Qunfei, founder and chairwoman of Lens Technology and once China's "richest woman," has entered the venture capital (VC) space. Zhou's recent investment in the embodied AI unicorn Kuawei Intelligent, contributing several hundred million RMB from her personal funds, brought her VC activities into focus. Her investment vehicle, Changsha Qunxin Investment, has made 17 investments, targeting semiconductor and hard tech companies like ChipOne Technology. Meanwhile, Lens Technology, her listed company, has made strategic bets this year on AI startups such as BrainCo, Xinghai Tu, Qingtian Zu, and Pudu Robotics. Zhou's own story is one of remarkable ascent. Starting as a migrant factory worker in Shenzhen, she built Lens Technology into a powerhouse supplying glass for major tech clients like Apple, with a market cap surpassing 300 billion RMB. Her move mirrors a broader trend among China's self-made industrial tycoons. Figures like Liu Yi of iHealth Labs (an investor in DeepSeek) and Zhu Xingming of Inovance Technology are similarly redirecting family offices and corporate capital away from traditional sectors like real estate. Instead, they are placing strategic bets on frontier technologies—AI, embodied intelligence, brain-computer interfaces, and nuclear fusion—effectively funding China's next wave of technological innovation.

marsbit07/02 09:49

Female Billionaire Becomes a VC

marsbit07/02 09:49

On the Eve of Its U.S. Journey, SK Hynix Plummets Sharply

Just before its highly anticipated U.S. listing, SK Hynix saw its share price plummet dramatically, losing over 14% in a single day. The sell-off was triggered by market fears of a potential slowdown in AI capital expenditure. This followed a news report suggesting Meta might sell "excess AI compute," which was later amended to remove the word "excess." The initial phrasing sparked a chain reaction in investor sentiment, linking it to a potential peak in AI demand. Despite the sharp downturn, the article argues this is likely an overreaction driven by market sentiment and structural de-leveraging, rather than a fundamental reversal of the AI trend. The author points out that even if Meta proceeds, it could be an optimization of existing assets, not a systemic demand contraction. SK Hynix is in the final stages of its U.S. IPO via an ADR listing on Nasdaq, aiming to raise approximately $29.4 billion—one of the largest such offerings ever. The funds are earmarked for expanding domestic Korean production capacity for HBM (High Bandwidth Memory) and advanced packaging. A key motivation for the U.S. listing is to achieve a valuation re-rating, escaping the so-called "Korea discount" and tapping into the higher valuation multiples typically given to AI-related semiconductor stocks in the U.S. market. In conclusion, the article views the current price drop as a potential buying opportunity, suggesting the long-term industry fundamentals for SK Hynix—particularly its leading position in the crucial HBM market—remain strong. The significant capital raised from the IPO is also seen as a factor that could provide underlying support for the stock post-listing.

Odaily星球日报07/02 09:48

On the Eve of Its U.S. Journey, SK Hynix Plummets Sharply

Odaily星球日报07/02 09:48

arXiv Breaks Away from Cornell, Officially Takes Flight on Its Own

arXiv, the widely used preprint server, has officially spun off from Cornell University as of July 1, becoming an independent nonprofit organization named arXiv, Inc. Registered in Delaware with 501(c)(3) tax-exempt status, this move ends its 25-year affiliation with Cornell. The new entity will be governed by a board of up to 12 members, with the Simons Foundation and Cornell University serving as founding members for the first five years. Ramin Zabih, a Cornell professor, will serve as interim CEO during the transition. All 26 staff members have transferred to the new organization, and operations—including free access to papers—are expected to remain unchanged for users in the near term. Founded in 1991 by physicist Paul Ginsparg, arXiv hosts over 3.09 million preprints across physics, mathematics, computer science, and other fields, facilitating rapid dissemination of research. Key motivations for independence include financial pressures—arXiv faced a deficit in 2025—and the need for greater operational flexibility to address challenges like the surge in AI-generated submissions. The platform remains committed to its free-access model but will explore broader funding avenues as a standalone entity.

marsbit07/02 09:43

arXiv Breaks Away from Cornell, Officially Takes Flight on Its Own

marsbit07/02 09:43

World Cup Upsets Keep Coming, the 'Dumb Money' in Prediction Markets Got Me Laughing

The 2026 FIFA World Cup has been marked by frequent upsets, turning prediction markets into a high-stakes game of chance. Odaily Planet Daily examines several high-profile cases where "smart money" bets went disastrously wrong, questioning if these losses offer any contrarian insights. A major upset occurred when underdog Cape Verde held football powerhouse Spain to a 0-0 draw. A trader, betting $1 million on a Spanish victory at 0.92 odds to earn $85,000, instead lost their entire principal. This match set a precedent for underdogs stifling favorites. Similarly, Portugal, despite featuring star Cristiano Ronaldo, was held to a 1-1 draw by debutants DR Congo. A trader with a 49% win rate lost over $243,000 predicting a Portuguese win. The article highlights the case of a notorious "anti-indicator" address, @Zzzz87. After initially losing over $620,000 (with a sub-40% win rate) by betting on underdog upsets, the address switched strategy. It began backing favorites in the knockout stages, reportedly turning a $269,000 profit in a week, despite being down $255,000 over the past month. This exemplifies the market's volatility and the difficulty of establishing a consistent strategy. The core conclusion is that football's inherent unpredictability defies simple logic based on player valuations or national rankings. Whether following "smart money" or betting against "dumb money," the only certainty is uncertainty. The article advises enthusiasts to enjoy the games while remaining adaptable in their approach to the prediction markets.

Odaily星球日报07/02 09:41

World Cup Upsets Keep Coming, the 'Dumb Money' in Prediction Markets Got Me Laughing

Odaily星球日报07/02 09:41

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