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Covers miscellaneous content, such as industry anecdotes, interviews, and commentary, providing diverse perspectives and insights.

Securitize And Neuberger Berman Bring Tokenized HINC Fund To Sui

Securitize and Neuberger Berman have launched the HINC tokenized fund, providing eligible accredited investors with tokenized access to a portfolio of high-yield credit assets. The fund is actively managed, deployed across Sui, Solana, Avalanche, and Ethereum, and represents a growing trend of real-world asset (RWA) tokenization. This move highlights institutional adoption, where blockchain is used for ownership and settlement while maintaining traditional compliance structures. Sui's inclusion signals its entry into competition with more established chains for serious financial applications, moving beyond retail-focused use cases. The multi-chain deployment underscores a shift where issuers prioritize accessibility and flexibility over reliance on a single network.

bitcoinistHace 12 hora(s)

Securitize And Neuberger Berman Bring Tokenized HINC Fund To Sui

bitcoinistHace 12 hora(s)

Claude Starts Independently Designing New Proteins, Efficiency Surpasses Human Experts by Dozens of Times

Anthropic's Claude AI autonomously designed novel protein binders, achieving a 26.8% overall success rate (354 validated designs out of 1320) across 14 out of 15 target proteins—double to triple the industry average of 10-15%. Guided by a detailed 16k-word prompt but making all design decisions itself, Claude orchestrated existing tools like RFdiffusion and ProteinMPNN over 24-48 hours per target. Notably, it succeeded on challenging targets like TNFα (where expert teams had failed) and outperformed a public competition's results on RBX1. While promising for accelerating therapeutic discovery, Anthropic has restricted such capabilities in its public model due to dual-use concerns. The prompts, data, and all designs are publicly released.

marsbitHace 2 días 11:40

Claude Starts Independently Designing New Proteins, Efficiency Surpasses Human Experts by Dozens of Times

marsbitHace 2 días 11:40

FASB proposes criteria for recognizing stablecoins as cash equivalents

The U.S. Financial Accounting Standards Board (FASB) has proposed new guidance outlining when companies can classify certain stablecoins as cash equivalents under U.S. Generally Accepted Accounting Principles (GAAP). The proposed update adds illustrative examples to the current definition to address inconsistencies in accounting for digital assets, including stablecoins, without changing the definition itself. According to the guidance, a qualifying digital asset must provide a contractual right to redeem for a predetermined amount of cash directly from the issuer upon demand. It must also be backed 1:1 by reserves held separately in short-term, highly liquid assets. The FASB clarifies that an active secondary market is insufficient if holders lack a direct redemption right from the issuer. Furthermore, reserves consisting of cryptoassets or gold would disqualify a token from this classification due to valuation risks. Companies retain the discretion to classify eligible assets as cash equivalents, subject to applicable laws and regulations. The FASB is accepting public comments on the proposal until November 19, and the effective date will be determined after reviewing stakeholder feedback.

cryptonews.ruHace 2 días 05:18

FASB proposes criteria for recognizing stablecoins as cash equivalents

cryptonews.ruHace 2 días 05:18

Anthropic's $65 Billion Annual Revenue Could Reshape AI Company Valuations

Anthropic's rapid revenue surge, with projected annual revenue reaching $65 billion as of late July, is poised to fundamentally reshape AI company valuations ahead of its potential IPO, possibly this fall. Investment bankers predict it could set a new industry benchmark, with a projected valuation exceeding $2 trillion, making it the largest IPO ever. Growth has accelerated dramatically, from nearly $9 billion in ARR at end-2025 to $47 billion in May and $65 billion by July, with 2026 revenue projected between $100-$120 billion. Notably, bankers and investors are basing Anthropic's valuation on far-future 2028 revenue projections of $190-$200 billion, using an enterprise-value-to-revenue multiple rather than current profits. This method, common for high-growth SaaS but novel for AI giants, could ease valuation justifications for other AI firms if accepted by public markets. Real demand underpins the figures, with adoption data showing Anthropic leading OpenAI in U.S. corporate adoption (43.5% vs. 39.7%). However, the high-stakes valuation model hinges on revenue far outstripping enormous future costs for chips, model training, and talent. If successful, Anthropic's IPO could establish a new AI valuation paradigm; if not, it risks creating an investor trap.

cryptonews.ru08/18 05:21

Anthropic's $65 Billion Annual Revenue Could Reshape AI Company Valuations

cryptonews.ru08/18 05:21

30 Years After Being Crushed by AI, People Have Fallen Back in Love with Chess

On May 11, 1997, IBM's "Deep Blue" defeated chess champion Garry Kasparov, marking the first time a machine triumphed in a top-level intellectual game. The narrative of human defeat by AI seemed cemented when AlphaGo beat Lee Sedol in Go in 2016, a game once considered AI's final frontier. Yet, nearly 30 years after AI's dominance began, chess is experiencing unprecedented popularity. Chess.com boasts over 250 million registered users and 10 million daily active players. Its CEO, Erik Allebest, attributes this resurgence to several waves: the pandemic, the Netflix series *The Queen's Gambit*, and viral AI chess bots like "Mittens" on social media. Crucially, each surge left a permanently higher user base. The key insight is that AI liberated the game. When machines unequivocally became the best, the pressure to "win" as the ultimate human was removed. Chess returned to its core: the intrinsic joy of play—the thrill of a tactical combo, the tension of a time scramble, the curiosity of post-game analysis. AI, now serving as an always-available coach and anti-cheat tool, became infrastructure that enhanced rather than killed the experience. In contrast, Go, deeply rooted in East Asian elite culture and often pursued for mastery and status, suffered a "collapse of meaning" at the professional level after AlphaGo. Players began mimicking AI moves, erasing distinctive styles and narrative. While some Go players gained fame as online personalities, it didn't translate to widespread engagement with the game itself. The divergence highlights a fundamental question in the age of AI: is the motivation for an activity about *winning* or *playing*? Activities where the process itself is the reward, like chess, can thrive when the pressure of being the best is gone. AI may rightly take over tasks done purely for outcome, but it cannot replace the human experience of simply enjoying the game.

marsbit08/17 01:11

30 Years After Being Crushed by AI, People Have Fallen Back in Love with Chess

marsbit08/17 01:11

Public Bitcoin Miners Cut Hashrate by 21% Over Three Quarters

Over the past nine months, the realized hash rate of a group of public bitcoin miners (excluding Bitdeer) has fallen by 21.2%, dropping from 368.3 EH/s in Q4 2025 to 319.0 EH/s in Q2 2026. According to MinerWeekly, companies are reducing mining capacity to shift resources towards AI and high-performance computing (HPC) infrastructure. While the overall Bitcoin network's hash rate also declined, the drop was softer at 10.6%, decreasing from an average of 1,071 EH/s in Q4 2025 to 957 EH/s in Q2 2026. Bitdeer notably offset industry trends, increasing its realized hash rate by 44% to 63 EH/s. Analysts attribute the shift to growing revenue from colocation and AI compute services. For example, in Q2 2026, Core Scientific earned $136.7 million from additional deployments versus $27.5 million from bitcoin mining. Similarly, TeraWulf generated $31.9 million (71% of its total) from HPC leasing, compared to $12.8 million from mining. However, the transition is uneven, with companies like Riot Platforms and Bitdeer still deriving most revenue from mining-related activities. The current downturn is characterized as a result of weak mining economics and competition for capital and electricity from AI workloads. The report recalls a similar, though temporary, hash rate decline following China's mining ban in June 2021.

cryptonews.ru08/14 11:33

Public Bitcoin Miners Cut Hashrate by 21% Over Three Quarters

cryptonews.ru08/14 11:33

Overnight, GPT-5.6 Sol Was Accelerated 14x by OpenAI

OpenAI, in collaboration with chipmaker Cerebras, has unveiled a limited preview of an "Ultrafast Mode" for its flagship GPT-5.6 Sol model. This new service tier reportedly achieves output speeds of up to 750 tokens per second—a 14x increase over the standard mode's baseline of ~53 tokens/s—without any loss in quality. Key to this acceleration is Cerebras's wafer-scale architecture (WSE-3), which houses model parameters entirely in on-chip SRAM to eliminate the memory bandwidth bottlenecks typical of traditional GPU clusters. In benchmark testing on the challenging "Humanity's Last Exam" (HLE), GPT-5.6 Sol in Ultrafast Mode answered all 2500 questions in 11 hours and 11 minutes, compared to over 78 hours for a competitor model, while maintaining similar accuracy. The speed boost also translated to a 5.6x faster end-to-end performance on the GDP-Val benchmark for economically valuable knowledge work. OpenAI highlights several potential applications for such rapid inference, including real-time event response and reliability analysis, dynamic financial research and security, complex customer support, interactive shopping assistance, and accelerated research and experimentation workflows that enable multiple iterative cycles within a single workday. This advancement may allow users to deploy the highest-tier models for tasks previously requiring slower secondary models, significantly compressing multi-step agent workflows from hours to minutes.

marsbit08/14 00:02

Overnight, GPT-5.6 Sol Was Accelerated 14x by OpenAI

marsbit08/14 00:02

Is NBIS's 21% Surge Just an Appetizer? Q2 Revenue Quadruples, Holds $40 Billion in Orders, and Q4 Holds the Main Event!

Q2 earnings have already set in stone that 'NBIS can make money.' With 40 billion orders in hand, 5GW of power secured, and capacity fully booked until 2027—the certainty of growth is higher than most AI concept stocks. The catalyst of major orders concentrated online in Q4 has not yet materialized, which may be the core catalyst for the next round of stock price appreciation.

08/13 04:07

Is NBIS's 21% Surge Just an Appetizer? Q2 Revenue Quadruples, Holds $40 Billion in Orders, and Q4 Holds the Main Event!

08/13 04:07

Explosion in Deep Sea Robots, the Hardest Series A Round Emerges

Deep-sea robotics startup Deepsea Zhiren has secured over 5 billion yuan in its Series A funding, a landmark deal backed by prominent investors including GGV Capital, Dachen Capital, Genesis Capital, Everbright Capital, China Life Insurance Investment, CETC Investment, and the energy tech fund managed by Cathay Capital with TotalEnergies as the cornerstone LP. Existing investors also participated significantly. The company, founded by industry veteran Ma Yiming, specializes in developing heavy-duty work-class ROVs for extreme deep-sea environments up to 6,000 meters, used in oil and gas, offshore wind, and subsea cable operations. Its product line includes models like "Taurus" (1,000m), "Phoenix 600" (3,000m), and "Singularity" (6,000m). A key achievement is securing multi-million dollar orders from UAE's telecom giant Etisalat, marking a breakthrough for Chinese-made deep-sea robotics in the international market. Deepsea Zhiren differentiates itself through full-stack in-house R&D—from pressure-resistant structures to control systems and AI—and a modular hardware approach. It has built a comprehensive internal standard system aligned with top global offshore specifications. The company is now advancing its "Deep Matrix" initiative, an unmanned, AI-powered, multi-robot cluster system designed for permanent seabed operations. This system aims to drastically reduce reliance on support vessels and human operators, potentially cutting costs in offshore oil field operations by billions over their lifecycle. The funding round signals strong market confidence in the deep-sea tech sector, recently highlighted in China's national policy. With the global subsea services market valued at around 1.5 trillion yuan and growing over 20% annually, Deepsea Zhiren aims to redefine deep-sea development through integrated hardware and embodied AI systems, positioning itself as a global pioneer in ocean robotics.

marsbit08/13 02:58

Explosion in Deep Sea Robots, the Hardest Series A Round Emerges

marsbit08/13 02:58

The True Cost of Strategy Being Forced to 'Hoard' U.S. Dollars

The article analyzes MicroStrategy's (now Strategy) shift towards holding substantial US dollar reserves (currently $4.65 billion) while selling Bitcoin, contrasting this with its core identity as a Bitcoin-focused company. It argues this move is a strategic necessity specific to Strategy, driven by its unique business model of issuing "digital credit" (preferred securities) with fixed USD dividend obligations. To secure favorable credit ratings (e.g., S&P's B- rating, which penalizes Bitcoin-heavy balance sheets) and sustain this credit issuance, Strategy must demonstrate significant dollar liquidity. However, this cash hoarding imposes a heavy "invisible tax" or opportunity cost: capital allocated to low-yielding cash reserves cannot be deployed into Bitcoin, artificially raising the required return threshold on its actual Bitcoin investments to cover fixed dividend costs. The author concludes that Strategy is an extreme case, and most other Bitcoin-related companies should not blindly emulate this strategy. For them, dollar reserves should be dictated strictly by operational needs and prudent buffers, not arbitrary targets. Holding excess cash typically means forfeiting potential Bitcoin returns for uncertain benefits, making it economically unsound unless a company shares Strategy's specific credit-dependent capital structure. The decision ultimately hinges on a firm's unique business model and genuine cash flow requirements.

marsbit08/13 02:11

The True Cost of Strategy Being Forced to 'Hoard' U.S. Dollars

marsbit08/13 02:11

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