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  • Reasoning LLMs Deliver Value Today, So AGI Hype Doesnt Matter
    Reasoning LLMs are a relatively new and interesting twist on the genre They are demonstrably able to solve a whole bunch of problems that previous LLMs were unable to handle, hence why we've seen a rush of new models from OpenAI and Anthropic and Gemini and DeepSeek and Qwen and Mistral
  • AI collapses under questioning – Apple debunks AGI myth
    This is the stark conclusion of a new research paper by Apple, which investigates the reasoning capabilities of advanced LLMs, called LRMs, through controlled mathematical and puzzle experiments, and asks whether their recent improvements come from better reasoning, or from more exposure to benchmark data or greater computational effort The result is that, when faced with complex problems
  • Seven replies to the viral Apple reasoning paper – and why they fall short
    Reasoning LLMs are a relatively new and interesting twist on the genre They are demonstrably able to solve a whole bunch of problems that previous LLMs were unable to handle, hence why we've seen a rush of new models from OpenAI and Anthropic and Gemini and DeepSeek and Qwen and Mistral
  • Apple Challenges AI Reasoning Hype: Exposes Limitations of LLMs
    Apple challenges the hype around AI reasoning models, exposing their limitations through rigorous testing The research paper reveals reasoning models struggle with complex problems, questioning the path to true artificial general intelligence (AGI)
  • Limits of Large Language Models: Why LLMs Fall Short of True AGI
    Part 1 of a two-part series examining the hype and limitations of large language models (LLMs) in the quest for artificial general intelligence (AGI) This deep dive unpacks the challenges of LLMs—lack of true understanding, reasoning flaws, and the illusion of progress—while questioning whether scaling alone can lead to AGI
  • Cutting-edge AI models from OpenAI and DeepSeek undergo complete . . .
    Reasoning models, such as Meta's Claude, OpenAI's o3 and DeepSeek's R1, are specialized large language models (LLMs) that dedicate more time and computing power to produce more accurate responses
  • The Illusion of Thinking: Apple Finds Reasoning Flaws in AI models
    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)





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