# Сопутствующие статьи по теме AI

Новостной центр HTX предлагает последние статьи и углубленный анализ по "AI", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Just 6 Days After Launching ChatGPT Health, OpenAI Is Surpassed on Its Own Medical Benchmark

In a significant development in the AI healthcare sector, Baichuan Intelligence has surpassed OpenAI's GPT-5.2 High on the HealthBench benchmark—a medical evaluation dataset created by OpenAI with input from 260+ doctors across 60 countries—just six days after OpenAI launched ChatGPT Health. Baichuan's new model, Baichuan-M3, achieved a top score of 65.1 and also led in the more challenging HealthBench Hard subset, while demonstrating the lowest hallucination rate (3.5%) without relying on external tools. Key to M3’s performance is its Fact Aware RL technique, which improves diagnostic accuracy by balancing factual precision with proactive questioning. The model avoids both over-confident errors and overly vague responses. Additionally, Baichuan introduced SCAN-bench, a new evaluation framework designed to simulate real doctor-patient interactions. In tests, M3 outperformed human specialists in areas like safety stratification, clarity, and diagnostic questioning, partly due to its ability to integrate knowledge across medical disciplines. Baichuan is now rolling out the model via its consumer product Baixiaoying (百小应), offering tailored interfaces for both doctors and patients. The company emphasizes a focus on "serious medicine," prioritizing complex areas like oncology over general wellness, aiming to augment—not just assist—medical professionals. According to CEO Wang Xiaochuan, enhancing AI’s capability in high-stakes medical scenarios is crucial for building user trust and advancing toward AGI through deeper biological understanding.

marsbit01/14 02:31

Just 6 Days After Launching ChatGPT Health, OpenAI Is Surpassed on Its Own Medical Benchmark

marsbit01/14 02:31

2026 Must-Read: Who Pays for the Bull Market

"Who Pays for the Bull Market in 2026?" by Dovey Wan of Primitive Ventures analyzes the structural shifts in Bitcoin's market dynamics post-ETF approval and institutional adoption. Despite regulatory tailwinds and mainstream integration, BTC underperformed traditional assets like gold and equities in 2025, with suppressed volatility due to Wall Street arbitrage and derivatives trading. Key insights include: - **Onshore vs. Offshore Divergence**: U.S. investors (via Coinbase) drove buying at highs, while offshore exchanges (e.g., Binance) saw selling pressure. - **Institutional Role**: Corporate buyers (e.g., MSTR) used NAV premium arbitrage to accumulate BTC, but ETFs are largely held by non-institutional investors, with hedge funds reducing exposure. - **Retail Absence**: Retail participation declined as wealth shifted to AI stocks and traditional markets, with crypto CEX traffic falling. - **Native Sellers Emerge**: Early BTC holders and miners sold significantly, with miners diverting resources to AI infrastructure. Bitcoin’s financialization ("paper BTC") introduces systemic fragility, tying its future to macro liquidity and DAT/ETF premiums. The 2026 outlook hinges on macro conditions and institutional proxy valuations, with potential risks from leverage unwinds. The article calls for genuine on-chain adoption to transform passive holdings into active utility, envisioning crypto as a global, supranational financial rail.

比推01/13 17:21

2026 Must-Read: Who Pays for the Bull Market

比推01/13 17:21

0xTodd's Investment Philosophy: Bitcoin + U.S. Bonds, a Portfolio That Lets You 'Sleep Soundly' Long-Term

English Summary: 0xTodd, partner at Nothing Research and co-founder of Ethereum staking pool EBunker, shares his investment philosophy and crypto journey in this interview. He entered crypto in 2017 after recognizing Bitcoin's real-world utility during the "WannaCry" ransomware event. His research methodology, shaped by his background in materials chemistry, emphasizes verifiable conclusions and welcomes external critique. He famously correctly predicted the collapse of Luna/UST in 2022, profiting from this structural insight. Todd's core investment thesis is a "sleep-well-at-night" portfolio: Bitcoin + US Treasury bonds. The logic is a complete hedge: if central banks keep printing money, Bitcoin benefits; if they stop, high-yield bonds provide stable returns. He identifies stablecoins as crypto's second "killer app," particularly those backed by real-world assets like US debt (e.g., BMRUSD), for their utility in global payments and settlements. On AI, he sees crypto as a natural solution for AI economy transactions, providing the necessary programmable, permissionless settlement layer. His advice for newcomers is to learn core technology (Bitcoin, Ethereum, DeFi) before trading. Key 2026 trends he identifies are: Crypto finding its role alongside AI (productivity vs.生产关系), stablecoin adoption expanding, and合规ization bringing institutional capital. Ultimately, Todd believes long-term success in crypto comes from slow, structural thinking and understanding the underlying mechanisms, not chasing narratives.

marsbit01/13 14:06

0xTodd's Investment Philosophy: Bitcoin + U.S. Bonds, a Portfolio That Lets You 'Sleep Soundly' Long-Term

marsbit01/13 14:06

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