Hacker News
new
|
past
|
comments
|
ask
|
show
|
jobs
|
submit
login
ottah
3 months ago
|
parent
|
context
|
favorite
| on:
iPhone 17 Pro Demonstrated Running a 400B LLM
That's actually pretty cool, but I'd hate to freeze a models weights into silicon without having an incredibly specific and broad usecase.
patapong
3 months ago
|
next
[–]
Depends on cost IMO - if I could buy a Kimi K2.5 chip for a couple of hundred dollars today I would probably do it.
whatever1
3 months ago
|
prev
|
next
[–]
I mean if it was small enough to fit in an iPhone why not? Every year you would fabricate the new chip with the best model. They do it already with the camera pipeline chips.
superxpro12
3 months ago
|
prev
[–]
Sounds like just the sort of thing FGPA's were made for.
The $$$ would probably make my eyes bleed tho.
chrsw
3 months ago
|
parent
|
next
[–]
Current FPGAs would have terrible performance. We need some new architecture combining ASIC LLM perf and sparse reconfiguration support maybe.
0x457
3 months ago
|
parent
|
prev
[–]
Wouldn't it be the opposite of freezing weights?
Consider applying for YC's Fall 2026 batch!
Applications
are open till July 27.
Guidelines
|
FAQ
|
Lists
|
API
|
Security
|
Legal
|
Apply to YC
|
Contact
Search: