@amrstech Steve Jobs is dead and this will sell a lot. I personally know a bunch of people who wanted touchscreen and went to Dell, but now that it is part of Apple experience, it is going to sell like cakes.
We brought Touch to the Mac!
From the all-new iPad mini to the 14-inch MacBook Pro and iMac... and now MacBook Pro with PROLED XDR Display and Touch, creators have new tools to do their best work yet.
🎉 Customers are loving Cached Tokens on @nebiustf!
Here's how it works:
When you send a request, the inference engine checks whether the beginning of your prompt (the prefix) matches a prompt it processed recently.
If it does, it reuses the stored computation for that prefix instead of recomputing it.
The tokens served this way are cached tokens.
Prompts with a long, stable prefix benefit most, for example:
1. a repeated system prompt or set of instructions; tool and function definitions that are the same across calls;
2. few-shot examples or reference documents placed at the start of the prompt;
3. multi-turn conversations and agent loops, where each request repeats the earlier history.
For the right use-cases, cached tokens can bring down costs ~ 80% (tested with Deepseek V4.1 Flash 1017)
Cached tokens are now live on Nebius Token Factory⚡
Reusing context across requests?
Cached input can help reduce costs. See cached-token usage in API responses and billing, with pricing per model.
More info: https://t.co/iYOCbZqLM2
experimenting with a lil personal project: an AI-native macOS dock with custom modes (writing, building, etc.) to help me stay focused
my agent is able to customize mode behavior and add new modes, it uses jev to classify my activity + notifications in real time & act on them