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Terence Tao Outraged: AI is Killing the Centuries-Old Open Tradition of Mathematics

Fields Medalist Terence Tao has issued a fierce public critique, warning that AI, through brute-force computation and opaque methodologies, is eroding the centuries-old tradition of open science in mathematics. His warning follows allegations that OpenAI used immense computational power to rapidly solve a promising research path for the Navier-Stokes equations—one of the "Millennium Prize Problems"—after learning of the direction from a New York University mathematics team. The incident has sparked accusations of research "scooping," with reports claiming OpenAI pressured the team to remove collaborators from rival companies as a condition for co-authorship. Tao argues that while mathematics has long relied on a shared landscape of "difficulty" where promising problems are openly discussed, AI tools act like "a giant steamroller," flattening this intellectual terrain. This creates a dangerous incentive for researchers to hide their ideas, fearing that even a hint of progress could trigger a massive, AI-driven effort to brute-force the solution, thereby destroying the original project's potential and credit. He cautions that this shift toward secrecy would reverse open collaboration, severely damaging the field's long-term health. The core concern is that AI's focus on generating raw answers—often without transparent reasoning or yielding deep conceptual insights—devalues the process of discovery, which historically has generated the tools and understanding for future breakthroughs. Tao calls for new academic norms to reject solutions lacking substantive insight, preserving the intellectual ecosystem over short-term, marketing-driven victories.

marsbit2 дні тому 08:34

Terence Tao Outraged: AI is Killing the Centuries-Old Open Tradition of Mathematics

marsbit2 дні тому 08:34

Bitcoin Exchange Coinbase Announces Adding a New Altcoin to Its Listing Plan! Here Are the Details

American cryptocurrency exchange Coinbase has announced the inclusion of the Concrete (CP) token in its "listing plan." This move signals that CP is under consideration for potential future support on Coinbase's spot trading platform, though inclusion in the plan does not guarantee an eventual listing. The exchange will conduct technical and operational reviews before making a final decision. A listing on a major exchange like Coinbase is closely watched by the market, as it could expand investor access and token liquidity. Following such announcements, tokens have historically seen increased trading volume and price volatility. However, a specific listing date or trading start is not assured. Coinbase evaluates assets based on various criteria, including technical security, liquidity, and project information. The addition of Concrete to the roadmap strengthens its standing among assets Coinbase is reviewing, drawing investor attention to a potential future listing announcement. Any official confirmation of trading pairs and a listing date could provide a new boost to the token's market prospects. *This is not investment advice.

cryptonews.ru09/09 05:35

Bitcoin Exchange Coinbase Announces Adding a New Altcoin to Its Listing Plan! Here Are the Details

cryptonews.ru09/09 05:35

Led by Professor Sun Qi from Zhejiang University, Xinliu Weilang Completes First Round of Financing

Investment World AI reports that Hangzhou Xinliu Weilan Intelligent Technology Co., Ltd., an innovator in AI for IC design, has completed its first funding round, raising tens of millions of RMB from Qigao Capital as the sole investor. Founded in 2026 by Professor Sun Qi from Zhejiang University, the company aims to develop a new-generation intelligent platform for chip design by integrating AI with electronic design automation (EDA) expertise. The team is among the few that have successfully deployed industrial-grade EDA toolchains and implemented AI Agents in advanced-node chip projects. Led by Prof. Sun Qi, a researcher at Zhejiang University with extensive experience in AI+IC, and Dr. Chen Zhengrui, who pioneered the Agentic EDA infrastructure for real industrial toolchains, the project has garnered support from academic leaders including Academician Wu Hanming. The company's vision is "using AI to design AI." Xinliu Weilan's core product is an IC Design Intelligent Platform, comprising the proprietary large model "Wavelet" for professional understanding and reasoning in chip engineering, and the intelligent agent framework "Orbit" for stable, long-process control and continuous learning from design projects. Unlike proof-of-concept projects, the system uses real industrial toolchains and has been validated on real projects below 10nm with millions of gates, optimizing for PPA (Performance, Power, Area). The investment addresses the growing complexity of chip design, where engineering capabilities struggle to keep pace. AI Agents can automate iterative tasks like analysis, root-cause identification, and strategy adjustment within a verifiable engineering loop. Zhang Yong, Founding Managing Partner of Qigao Capital, highlighted the shift from tool automation to process intelligence centered on large models and agents. Xinliu Weilan's long-term goal is "Generalized AI for Design," starting with chip design to build a universal operating system for complex system design, aiming to amplify engineer efficiency and institutionalize valuable expert experience.

marsbit09/01 10:11

Led by Professor Sun Qi from Zhejiang University, Xinliu Weilang Completes First Round of Financing

marsbit09/01 10:11

a16z Data Reveals Argentina's Crypto Fever: Buying Crypto Is Buying Dollars, The Radically Reshaped Stablecoin Habits

Argentina is among the world's leading markets for cryptocurrency adoption, with nearly one in five people using crypto. While often framed as an inflation hedge, the country's crypto story runs deeper. Driven by historical distrust in the peso and strict capital controls imposed in 2019, Argentines turned to dollar-pegged stablecoins as an accessible way to preserve savings. Data from Deel shows a correlation between soaring inflation and the rising use of USDC for contractor salaries. Notably, 94% of peso-to-crypto transactions flow into stablecoins, essentially making "buying crypto" synonymous with "buying dollars." Even after economic pressures eased in 2025 with lifted FX restrictions and falling inflation, stablecoin usage did not recede. Instead, it has plateaued, suggesting these digital dollars have evolved from a crisis tool into an entrenched financial habit for payments and savings.

marsbit08/31 06:08

a16z Data Reveals Argentina's Crypto Fever: Buying Crypto Is Buying Dollars, The Radically Reshaped Stablecoin Habits

marsbit08/31 06:08

DGrid AI token jumps 93% after launch as decentralized AI network goes live

DGrid AI's native token, DGAI, surged 93% on its first trading day, reaching approximately $0.73. The token, with a market cap around $110 million, launched alongside the decentralized AI inference network's expansion. This network connects users and developers with distributed nodes that process AI requests, using DGAI for payments, staking, and rewards. DGrid's system routes requests across node-hosted models and employs a "Proof of Quality" mechanism to evaluate outputs, rewarding node operators for good performance and penalizing misconduct. Additionally, DGrid sold over 140 DClaw Box devices within hours at 1,580 USDT each, totaling over 221,000 USDT. These devices run a personal AI agent, connecting users to models via the decentralized network.

cointelegraph08/25 16:06

DGrid AI token jumps 93% after launch as decentralized AI network goes live

cointelegraph08/25 16:06

Goldman Sachs Research Report Analysis: 135% Profit Growth in Q2, APAC Valuations Fall to a Decade Low

Goldman Sachs Asia Pacific Market Report Summary (Aug 21, 2026) Earnings soared 135% YoY in Q2 for the MXAPJ index, with 46% of companies beating expectations, led by the Information Technology sector (+390% YoY). Despite this robust profit growth, the index's forward P/E of 11x sits 2 standard deviations below its 10-year average, indicating deep valuation discount. Market sentiment remains cautious, as seen in hedge fund leverage for Asian long/short funds dropping to a one-year low. While China saw net buying in August, its allocation remains near five-year lows, and foreign investors withdrew $1.5bn from EM Asia ex-China markets. The valuation gap is attributed to market pessimism on future growth, not aligning with consensus EPS growth forecasts of 71% for 2026 and 24% for 2027. The upcoming MSCI index rebalancing is expected to trigger approximately $42bn in total two-way passive fund flows. Leveraged ETF flows in Korea and Taiwan show signs of cooling, suggesting a reduction in crowded long positions. Goldman Sachs' core trades include long positions in stocks with strong earnings revisions and AI infrastructure/semiconductors. Key downside risks are rising long-term US bond yields, heightened geopolitical tensions, and a slower-than-expected Chinese economic recovery. The firm maintains a 12-month target of 1080 for MXAPJ, implying 21% upside.

marsbit08/24 06:01

Goldman Sachs Research Report Analysis: 135% Profit Growth in Q2, APAC Valuations Fall to a Decade Low

marsbit08/24 06:01

Circle's Jeremy Allaire Optimistic About Prospects of 'Massive Strategic Unlock' for Stablecoins by FASB

Jeremy Allaire, co-founder of Circle, hailed a new FASB (Financial Accounting Standards Board) proposal as a "huge strategic breakthrough" for stablecoins like USDC. Announced on August 18, 2026, the proposal would allow companies to classify qualifying stablecoins as cash equivalents on their balance sheets, simplifying corporate holdings. Allaire gave the proposal a "nine out of ten" rating, linking it to the potential of the GENIUS Act to drive wider USDC adoption. The accounting change is significant because cash equivalents are favored by lenders and treasurers, unlike intangible assets which carry a balance sheet penalty. The FASB's update to its cash flow statement standard (Topic 230) sets three clear criteria for a stablecoin to qualify: 1) the holder must have a contractually enforceable right to redeem on demand, 2) redemption must be for a fixed amount of cash directly from the issuer, and 3) the issuer must hold segregated, high-quality liquid reserves (excluding volatile assets like crypto or gold) backing each token 1:1. Secondary market liquidity does not qualify. While Coinbase has already adopted this accounting method for USDC, EURC, and PYUSD, skeptics like Professor Jack Castonguay believe treating stablecoins as cash equivalents goes too far. The public comment period ends November 19, after which the FASB will make a final decision.

cryptonews.ru08/22 10:37

Circle's Jeremy Allaire Optimistic About Prospects of 'Massive Strategic Unlock' for Stablecoins by FASB

cryptonews.ru08/22 10:37

Analyst Forecasts Ethereum to Rise to $10,000, But Is Willing to Sell at $3000

Crypto trader DonAlt, known for accurately predicting a 700% move in XRP's price, has set a technical target for Ethereum at $10,000. However, he personally plans to exit his own long position once ETH reaches $3,000. DonAlt opened his long position around $1,900 on August 13th, acknowledging this buy at resistance during market consolidation goes against classical technical analysis. He stated he is more uncomfortable being out of a position than buying at a less-than-optimal price. He is prepared to increase his position size if the price retests the key support zone around $1,700. The trader outlined three expectation levels: an official target of $4,000, an unofficial macro target of $10,000, but a practical plan to take profits at $3,000. He joked about his tendency to exit positions early for realized gains. The analysis notes this pragmatic approach, favoring a solid 57% profit over waiting for potentially unattained five-figure prices, reflects extensive trading experience. The article concludes by noting Ethereum's price remains tightly correlated to Bitcoin's, seemingly lacking its own growth catalysts. It mentions some banks are leaning towards creating private blockchains or opting for more innovative networks with higher scalability and lower fees.

cryptonews.ru08/17 18:15

Analyst Forecasts Ethereum to Rise to $10,000, But Is Willing to Sell at $3000

cryptonews.ru08/17 18:15

Trump Crypto Project Delays Launch of Maldives-Linked Token

The cryptocurrency project backed by former U.S. President Donald Trump and his family, World Liberty Financial ($WLFI), has postponed plans to launch a token linked to the construction of a luxury resort in the Maldives, according to Bloomberg sources. The token sale, initially slated for 2027, is now delayed reportedly due to disrupted transportation in the region from the U.S. war with Iran. The project involved tokenizing investor income from the Trump International Hotel & Resort, a planned 100-villa complex set to open in 2030. The token was designed to offer returns from the resort's revenues. The delay's timing is unclear. World Liberty Financial is also exploring tokenization in other sectors like oil and gas. Its native token, $WLFI, showed little price movement on the news, trading around $0.05, down 88% from its all-time high in September 2025. Trump and his sons have launched several crypto ventures, including meme coins and mining. Trump reported earning about $1.4 billion from crypto in 2025. However, their public projects, like mining firm American Bitcoin and Trump Media and Technology Group, reported significant losses in Q2 2026.

cryptonews.ru08/14 19:57

Trump Crypto Project Delays Launch of Maldives-Linked Token

cryptonews.ru08/14 19:57

The Biggest AI Black Hole: After Anthropic's Annual Revenue Hits $1 Trillion, Compute Power Prices Soar 10x

The article explores the potential for a dramatic surge in compute prices driven by the AI industry's explosive growth. It highlights a provocative prediction by tech podcaster Dwarkesh Patel: if AI labs like Anthropic continue their rapid revenue growth (projected to reach $1 trillion annually) while compute supply only expands at about 3x per year, the price of computing power could skyrocket by 10x or more. The core argument is a paradigm shift: GPUs are transitioning from mere hardware tools to carriers of "digital labor." If a single H100 GPU can host an AI agent capable of replacing a top-tier software engineer (with a Silicon Valley salary of $250k), its economic value should be recalibrated accordingly. Currently, the annual rental cost of an H100 is around $16k, creating a massive 15x valuation gap—a "labor arbitrage black hole." This imbalance stems from a critical mismatch: AI capabilities and commercial revenue are growing faster than the physical infrastructure (chips, data centers) can be built. With compute supply constrained by physical limits like chip manufacturing capacity, and demand soaring, prices are pressured upward. The piece further argues that expensive compute incentivizes using the most capable (and expensive) AI models, as cheaper, less efficient models waste more costly compute time—a phenomenon linked to the Alchian-Allen effect. Counterarguments are noted, suggesting AI's value may be capped in physical-world applications and that history often disproves predictions of resource scarcity. However, the response is that compute supply lacks the elasticity of traditional commodities. The conclusion is that before compute potentially becomes cheap and abundant, the industry may face an intense period of compute inflation and an arms race for this strategic resource.

marsbit08/04 13:56

The Biggest AI Black Hole: After Anthropic's Annual Revenue Hits $1 Trillion, Compute Power Prices Soar 10x

marsbit08/04 13:56

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