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1977/03/01
| USD / onsa | |
| Gold | 142.1 | |
| Silver | 471.8 |
Gold Historical Gold Presyo Tsart at Graph
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ginto balita:
- Seven replies to the viral Apple reasoning paper – and why . . .
And look, if an LLM can’t reliably execute something as basic as Hanoi, what makes you think it is going to compute military strategy (especially with the fog of war) or molecular biology (with many unknowns) correctly? What the Apple team asked for was way easier than what the real world often demands The paper was written by an intern
- Apple’s LLM study draws important distinction on reasoning . . .
Marcus Mendes is a Brazilian tech podcaster and journalist who has been closely following Apple since the mid-2000s He began covering Apple news in Brazilian media in 2012 and later broadened his
- Apple Says Claude, DeepSeek-R1, and o3-mini Can’t Really . . .
AI critic Gary Marcus is smiling again, thanks to Apple In a new paper titled The Illusion of Thinking, researchers from the Cupertino-based company argue that even the most advanced AI models, including the so-called large reasoning models (LRMs), don’t actually think Instead, they simulate reasoning without truly understanding or solving
- Puzzles break advanced AI models, Apple research finds
Reasoning models unlikely to reach AGI, expert says American academic Gary Marcus, who has been critical of AI hype and cautious about the technology’s capabilities, argued the Apple study showed “the chances that models like Claude or o3 are going to reach AGI seem truly remote”
- The Illusion of Thinking: Apple Finds Reasoning Flaws in AI . . .
A rather brutal truth has emerged in the AI industry, redefining what we consider the true capabilities of AI A research paper titled “The Illusion of Thinking” has sent ripples across the tech world, exposing reasoning flaws in prominent AI ‘so-called reasoning’ models – Claude 3 7 Sonnet (thinking), DeepSeek-R1, and OpenAI’s o3-mini (high)
- A look at seven rebuttals to Apples paper on limitations of . . .
Gary Marcus Marcus on AI: A look at seven rebuttals to Apple's paper on limitations of Large Reasoning Models, and why none make a compelling case — Also: another paper that seals the deal — The Apple paper on limitations in the “reasoning” of Large Reasoning Models, which raised challenges for the latest scaling hypothesis, has clearly touched a nerve
- Apple Research Questions AI Reasoning Models Just Days Before . . .
A newly published Apple Machine Learning Research study has challenged the prevailing narrative around AI "reasoning" large-language models like OpenAI's o1 and Claude's thinking variants
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