Science & Technology
Everyone from OpenAI to SpaceX is building their own chips | Equity Podcast
OpenAI just shared its plans to spice things up with Jalapeño, its custom inference chip built with Broadcom, joining Google, Apple, and SpaceX in a growing list of companies building their way out of single-supplier risk. The goal is less of a clean break and more of a hedge. Custom silicon means more control, hardware…
CNET
iPhone 18 Pro Max is For the Camera Nerds
“I’ve taken some of my favorite iPhone images ever with the iPhone 18 Pro Max,” writes CNET director of content Patrick Holland. “And yet, I don’t think just anyone should buy it.” Most people might be better served by grabbing an iPhone 17, even at its higher $929 starting price, than one of the new…
CNET
Apple Shrunk The Dynamic Island on the iPhone 18 Pro
A smaller Dynamic Island cutout means there’s more room to easily track your Live Activities. #allthingsmobile #iphone18pro #iphone17promax #dynamicisland #versus
CNET
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The iPhone 18 Pro’s 48-megapixel main camera has a variable aperture, which can boost low-light photos and videos. We tested out the feature in what appears to be a jazz club, but is really Apple Park. Read more about it on CNET.com: Add CNET as a trusted news source Never miss a deal again! See…
iPhone 18 Pro Max is For the Camera Nerds
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@Cloudshalla
June 27, 2026 at 11:28 pm
Loved this video on “Everyone from OpenAI to SpaceX is building their own chips”. If anyone is looking for cloud jobs, CloudShalla has a ton of listings right now. Keep it up!
@---jc7pi
June 28, 2026 at 8:20 am
They still have to go to TSMC, so they save some amount of margin but really not that much. And if its just a few % worse, its going to cost them billions. Also, wants you go there, you have to keep doing it every 2 years.
@TheBHAitken
June 28, 2026 at 11:00 am
LOL Nvidia/Jensen forgot that AI designs chips….
@davidlt
June 28, 2026 at 2:49 pm
Since most model providers have or will have soonish a good enough intelligence we are moving from “more training hardware” to “more inference hardware”. All major hyperscalers have their own chips, even Google split their TPUs into training and inference instead of one. You are selling inference (tokens, and tokens/s) so you want to be more vertically integrated here, optimize it as much as possible to get profitability (hopefully).
@anthenslawyergr
June 28, 2026 at 4:18 pm
History keeps repeating its self whoever owns the stack usually owns de margin🤔💯