- 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
- Apple’s Latest AI Study Strikes at the Heart of “Reasoning . . .
What Apple is exposing is the fragile scaffolding behind much of the reasoning model hype Even state-of-the-art LLMs fail to apply algorithms they’ve been shown, misunderstand the structure of complex puzzles, and reduce their thinking effort as tasks get harder
- 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
- 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 Debunks AI Reasoning Hype - Archyde
The Findings challenge claims of imminent artificial superintelligence by highlighting the significant gaps in current Large Language Models’ (LLMs) reasoning abilities and their limitations in handling complex, real-world problems
- Cutting-edge AI models from OpenAI and DeepSeek undergo . . .
Reasoning models, such as Anthropic'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
- Apple’s LLM study draws important distinction on reasoning . . .
It systematically probes so-called Large Reasoning Models (LRMs) like Claude 3 7 and DeepSeek-R1 using controlled puzzles (Tower of Hanoi, Blocks World, etc ), instead of standard math benchmarks
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