# Сопутствующие статьи по теме Grok

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

AI Cryptos Show Mixed Reactions to Imposed Restrictions on Grok

Grok, the AI tool integrated into X, is facing global scrutiny and restrictions due to its role in generating non-consensual offensive deepfakes. Countries including Indonesia, Malaysia, the UK, and India have taken action, ranging from blocking the platform to issuing warnings and demanding content removal. This controversy has influenced the AI cryptocurrency market, resulting in mixed reactions. Some top AI cryptos like TAO, NEAR, and ICP saw declines of over 1-2%, while others such as IP, GLM, and KAITO posted gains of up to 21%. Broader economic factors, including US unemployment and upcoming inflation data, also contribute to the sector's volatility.

TheNewsCrypto01/12 13:04

AI Cryptos Show Mixed Reactions to Imposed Restrictions on Grok

TheNewsCrypto01/12 13:04

AI Prediction Record: Want to Make Money in Prediction Markets with AI? But It Might Not Even Have Read the Question Clearly

An experiment tested whether AI (Gemini 2.5 Pro and Grok 4 Fast) could profitably predict outcomes on crypto prediction markets, pitting it against successful human traders. The AIs were given event titles, descriptions, and answer choices (Yes/No), with instructions to use web searches for news and expert analysis while ignoring market data. They were to reason logically and output only a final answer. After 21 settled predictions, Grok achieved the highest win rate at 75%, outperforming the humans (66.7%) and Gemini (52.4%). However, analysis revealed significant flaws in the AI's reasoning: * **Temporal Confusion:** Gemini sometimes misjudged the current date, leading to erroneous conclusions. * **Lack of Depth:** Grok often relied on immediate, surface-level information instead of identifying deeper patterns or historical context. * **Over-reliance on Assumption:** Gemini occasionally based predictions on subjective common-sense assumptions rather than the specific evidence found. * **Misinterpreting Conditions:** Both AIs sometimes failed to correctly parse the precise settlement criteria for a market, leading to logical errors despite having the correct information. The conclusion is that while Grok's win rate was impressive, its underlying reasoning process is often flawed and requires significant refinement to be reliably profitable.

Odaily星球日报01/04 10:54

AI Prediction Record: Want to Make Money in Prediction Markets with AI? But It Might Not Even Have Read the Question Clearly

Odaily星球日报01/04 10:54

AI Prediction Record: Want to Make Money in Prediction Markets with AI? But It Might Not Even Have Read the Question Clearly

Based on an experiment comparing AI predictions against human "smart money" on Polymarket, this article investigates whether AI can reliably profit in prediction markets. The author tested Google's Gemini 2.5 Pro and xAI's Grok (via OpenRouter), both equipped with web search, on 21 resolved non-crypto market questions. The core finding is a divergence in performance: Grok achieved the highest win rate at 75%, outperforming humans (66.7%) and significantly beating Gemini (52.4%). However, a detailed analysis of the AI's reasoning revealed critical flaws. Gemini frequently misjudged the current date, leading to erroneous conclusions. Both models sometimes relied on superficial or commonsense assumptions instead of deep, evidence-based logic. A major failure mode was misinterpreting the specific settlement conditions of a market, such as confusing "any files" with "all files" being released. While Grok's results are promising, the experiment concludes that AI often fails to fully comprehend the question's nuances, highlighting a significant gap between raw information retrieval and true contextual understanding needed for reliable prediction.

marsbit01/04 08:59

AI Prediction Record: Want to Make Money in Prediction Markets with AI? But It Might Not Even Have Read the Question Clearly

marsbit01/04 08:59

Will Bitcoin Rally To $200,000 and Beyond in January? These Traders Think So

Bitcoin is once again facing euphoric predictions as traders on X circulate detailed timelines forecasting a parabolic rally to $200,000 or more as early as January 2026. These optimistic forecasts suggest a month-by-month progression culminating in an altcoin explosion by March, followed by a potential bull trap and subsequent downturn by mid-year. However, both ChatGPT and Grok expressed skepticism toward these predictions. ChatGPT cautioned that such parabolic targets often emerge at peaks of enthusiasm rather than sustainable breakouts, noting that a near-doubling of Bitcoin’s market cap in one month would require flawless conditions rarely seen in markets. Grok was more blunt, dismissing the forecasts as "astrology for traders" and warning that widespread bullish consensus often precedes market reversals. Technically, Bitcoin has broken down from a rising wedge pattern on the weekly chart, signaling potential trend exhaustion. The MACD indicator has also shown a bearish crossover, suggesting building downside pressure. Analysts note that failure to reclaim the $96,792 resistance level could lead to a decline toward $78,596, tempering expectations for an imminent rally.

ccn.com12/31 12:06

Will Bitcoin Rally To $200,000 and Beyond in January? These Traders Think So

ccn.com12/31 12:06

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