Google's generational fumble in AI
- YT :: https://www.youtube.com/watch?v=d3Gjq-BffuI
- Original title :: Google’s Generational Fumble
Prime argues Google had every structural advantage in the LLM race - the TPU, the transformer paper, a decade of head start, and roughly $500M/day of AI and data-center spend - and still ended up nowhere in the rankings. He walks through the evidence, including a hands-on Gemini session that burned 330M tokens and $118 on a trivial bug by re-reading the same file in a loop.
The advantages Google threw away
Google shipped its first TPU in 2015 - a custom ASIC for AI math - roughly eleven years before OpenAI's own first chip ("Jalapeno") appears. Two years after the TPU, eight Google DeepMind researchers published "Attention Is All You Need", the transformer paper that the entire current field is built on. Google invented both the hardware of the future and the architecture everyone else now uses.
Where they actually sit
On the artificial-analysis index Google sits around eighth place. Labs with a thousand or a few hundred employees - GLM, Moonshot AI - beat it with models that are months old. Grok, the coding laughingstock as recently as March, is now well above it. None of these labs had a decade of purpose-built silicon lying around.
The product experience
The free Gemini surface still defaults to 3.1 Pro, a February-era model comparable to GPT 5.3 or Opus 4.6, and even paid access caps out below the frontier model. Prime is also unconvinced anyone actually uses Antigravity - he says he's heard more people mention Devin. Trying Gemini 3.8 Flash in Cursor on a small color-assignment bug, he came back 40 minutes later to find it had read the same file over and over: 330M tokens, $118, no fix. The file-reading loop is a bug people have complained about for eight months. His practical worry is cost exposure - an unattended overnight automation run could have produced a four-figure bill.
The Ox Alpha tweet mess
When the mystery "Ox Alpha" model appeared on OpenRouter in late August, Google AI Studio staff tweeted things like "what if Ox Alpha was the friends we made along the way" and "it's Gemini time", letting everyone assume it was theirs. It turned out to be GLM 5.3 Flash. Google's explanation was unfortunate timing - the excitement was about their own 3.7 Flash launch nine days earlier. Prime finds the explanation plausible but the whole episode emblematic.
Takeaway
The gap isn't fifth or sixth place, it's absence from the conversation. Google held the hardware, the research, and the capital, and the race walked right past them.