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  • Reasoning LLMs Deliver Value Today, So AGI Hype Doesnt . . .
    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
  • AGI Is Not Around the Corner: Why Today’s LLMs Aren’t True . . .
    In reality, today’s AI systems are nowhere near AGI, and their incremental improvements don’t indicate exponential progress toward it This post takes a rationally skeptical look at the state of AI, explaining clearly why current LLMs are not AGI, what critical ingredients are missing, and why doomsday fears of an imminent superintelligent
  • What Apples controversial research paper really tells us . . .
    As the title reveals, the 30-page paper dives into whether large reasoning models (LRMs), such as OpenAI's o1 models, Anthropic's Claude 3 7 Sonnet Thinking (which is the reasoning version of the
  • Apple Study Challenges Assumptions About AGI Readiness
    This post is also available in: עברית (Hebrew)A recent study by Apple researchers has raised serious doubts about the capabilities of today’s most advanced AI systems, particularly those designed for complex reasoning The findings suggest that current-generation large reasoning models (LRMs) are still far from achieving the kind of general intelligence often associated with artificial
  • Apple’s LLM study draws important distinction on reasoning . . .
    In other words, they aren’t reasoning, but rather iteratively extending LLM inference patterns in more elaborate ways That distinction matters, and it’s the real value of the Apple paper
  • Apple Challenges AI Reasoning Hype: Exposes Limitations of LLMs
    Rethinking the Path to AGI: The research challenges the timeline and approach for achieving Artificial General Intelligence (AGI) If current reasoning models have fundamental scaling limitations, the path to AGI may require a more radical rethinking of AI architectures, as advocated by researchers like Yan LeCun
  • Apple Exposes the Hype: LLMs Cannot Reason. What You Need to . . .
    In a paper aptly titled The Illusion of Thinking, Apple researchers aimed to measure the true reasoning capabilities of several leading “reasoning-enhanced” LLMs, models like OpenAI’s GPT-4, Claude 3 7 Sonnet from Anthropic, Google’s Gemini Thinking, and IBM Granite





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