# Gemini Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Gemini", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

"Shelling" Google Gemini, But Apple Hasn't Given Up on Its Own Model

Apple has reportedly entered into a significant partnership with Google to integrate its Gemini AI model into Apple's ecosystem, as a "foundation" component for its future AI features, including a more personalized Siri expected later this year. The deal, estimated at around $1 billion annually, is not a direct replacement of Apple's own models but rather a strategic collaboration where Gemini will assist in training and enhancing Apple's proprietary on-device AI, with all processing occurring on Apple's private cloud servers to ensure user data privacy and isolation from Google. This move is seen as a tactical, transitional step for Apple to accelerate its AI capabilities and meet product launch timelines, especially after facing delays and setbacks with its in-house Apple Intelligence development and losing key AI talent to competitors like Meta. Despite this partnership, Apple continues its independent research and is reportedly developing its own trillion-parameter model, targeted for around 2027. The collaboration has drawn criticism, notably from Elon Musk, who raised concerns about the concentration of power with Google, which also controls Android and Chrome. For Google, the deal is a major win, boosting its market valuation, while OpenAI's existing partnership with Apple, which positions ChatGPT as a supplementary option for Siri, appears less central by comparison. The arrangement highlights Apple's pragmatic approach to bridging its AI gap while maintaining its long-term ambition for a fully independent AI system.

marsbit01/13 07:21

"Shelling" Google Gemini, But Apple Hasn't Given Up on Its Own Model

marsbit01/13 07:21

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

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