Tomer Tunguz 分析:从 GPT-4o 到 Gemma 4 E4B,前沿能力 23 个月进入手机
Pocket Power : From State of the Art to Your Phone in 23 Months
Google 上周发布 Gemma 4 E4B,可在手机上完全本地运行,在 MATH、GSM8K、GPQA Diamond、HumanEval 等基准上匹配或超过 GPT-4o。
作者用 450 倍参数压缩和 23 个月时滞两个数字,把前沿模型能力下沉到手机的节奏讲成可量化的规律。
In short : State of the art AI reaches your laptop in 3-4 months, your phone in 23. Google's Gemma 4 E4B matches GPT-4o and runs entirely on your phone.
Two years ago, the idea of useful AI on your phone was fantastical. Siri couldn’t finish a sentence. Local models hallucinated nonsense.
Last week, Google released Gemma 4 E4B1, a free model that matches GPT-4o and runs entirely on your phone.2
The next few weeks promise even more advanced pocket models. The market expects new releases from DeepSeek3, Qwen4, Kimi5 & Minimax6.
Frontier models don’t stay frontier for long. Within three to four months, you can run a model with similar performance on your laptop; 23 months later, you can run the same model on your phone.
Three forces are driving this compression. Better algorithms : distillation & reinforcement learning squeeze more capability into fewer parameters. Talent density : the biggest prizes in capitalism attract the best minds in the field. These are the fastest growing software companies in history. And capital : a trillion dollars invested in data centers powering training.
In 23 months, the same capability that needed 1.8 trillion parameters now fits in 4 billion parameters. A 450x compression. At this rate, the phone in your pocket will run today’s frontier models before you upgrade it.
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Gemma 4 E4B matches or exceeds GPT-4o across multiple benchmarks including MATH, GSM8K, GPQA Diamond & HumanEval. Full benchmark comparison ↩︎
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来源:Tomer Tunguz 博客(VC 分析) · tomtunguz.com