Here is the OpenAI Jalapeño scoop in plain English.
They built their own chip with Broadcom to run models, not train them.
First tests: 1.5x-1.9x more work per watt. 1.7x-3.6x faster answers than the Nvidia systems they compared it to.
Year-end deploy. Small volumes first.
The thing worth stealing from an AI voice system is not the prompt.
It is the memory around it.
Approved drafts. Rejected drafts. Modes. Source rules. Corrections. That is what got 58 bookmarks.
I thought the "all five AIs picked 17" post was bait.
Then I ran the same test.
ChatGPT, Claude, DeepSeek, Gemini, Grok.
Same prompt. No extra wording.
17, 17, 17, 17, 17.
I asked ChatGPT, Claude, DeepSeek, Gemini AND Grok to pick a number between 1 and 30.
ALL FIVE SAID 17.
No coordination. No prompting them toward it.
Five different AI models.
Same. Exact. Number.
What is going on with 17? 😂
M6 mini from $899. M5 Ultra Studio from $5,499.
- Mini: M6, Dual 16-core Neural Engine, up to 64GB
- Ultra: up to 36-core CPU, 80-core GPU, 1.2TB/s memory
- Both ship September 22
This is how Apple wins. They sell the local AI box. They do not need a model.