Welcome to OHMO AI. OpenAI revealed Jalapeño, its first custom chip, built with Broadcom to run its models faster and cheaper. Google Finance came out of beta with portfolios and its own app. And Midjourney, of all companies, says it wants to scan your whole body in a spa. The screen was never going to be enough.
In today’s newsletter:
OpenAI unveils Jalapeño, its first custom AI chip, built with Broadcom
Google Finance exits beta with portfolio tracking and a new Android app
Midjourney pivots to medical imaging with a 60 second full body scanner
Nvidia and AWS push to make production AI cheaper to run
LATEST IN AI
OPENAI
OpenAI Names Its First Chip Jalapeño
Image source: OpenAI
OHMO AI: OpenAI unveiled its first custom chip, designed with Broadcom and built specifically to run large language models. Named Jalapeño, it's an inference chip, meaning it's built for serving models to users rather than training them. OpenAI says its own models helped design it, in a nine month sprint from drawing board to finished design.
The details:
OpenAI is calling it an "Intelligence Processor" and says early testing shows performance per watt substantially better than current top chips, with a full technical report promised in the coming months.
President Greg Brockman told CNBC the company "cannot get compute fast enough," and Broadcom CEO Hock Tan said demand is "simply insatiable."
Initial deployment is targeted for the end of 2026 at gigawatt scale with Microsoft and other data center partners, expanding over several chip generations.
Why it matters: OpenAI has leaned on Nvidia for years, and a chip of its own is a move to control its costs and its supply. Inference is where the bills pile up when hundreds of millions of people use ChatGPT, so even small savings there change the math on whether OpenAI can ever turn a profit.
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Google Finance Gets a Real App
Image source: Google
OHMO AI: Google Finance left beta this week with a real upgrade, rolling out portfolio tracking, scheduled market briefings, and a dedicated Android app. You can build a portfolio by uploading a screenshot, a CSV, or a PDF of your holdings, or just describing them in plain words, then ask the AI research tool questions about it.
The details:
The new portfolio and scheduled task features are live on the web first, with Google saying they'll come to the Android app over the coming months.
The Android app at launch covers watchlists, real time data, a live news feed, and AI "key moments" that explain why a stock moved.
An iOS app is planned for later this year, and Google says uploaded portfolio files aren't retained.
Why it matters: Google is walking straight into Yahoo Finance and Bloomberg's territory, betting that the billions of people already checking stock prices in Search will hand over their actual holdings. Whether people trust Google with that is the real question, given how much it already knows about them.
MIDJOURNEY
Midjourney Wants to Scan You in a Pool
Image source: Midjourney
OHMO AI: Midjourney, the AI image company, announced a surprise pivot into medical hardware. It's building a full body ultrasound scanner that lowers you through a ring of underwater sensors, aiming to map your insides in 60 seconds, and it plans to house the machines inside its own spa in San Francisco by the end of 2027.
The details:
The scanner, built with chipmaker Butterfly Network, uses ultrasonic sound waves instead of radiation or magnets, and founder David Holz claims image quality comparable to an MRI.
Midjourney's stated goal is 50,000 scanners worldwide by 2031, enough for a billion scans a month, starting with body composition maps while it seeks FDA clearance for more.
Radiologists have pushed back, noting ultrasound struggles to pass through bone and deep tissue, and the working prototype reportedly still takes around 20 minutes, not 60 seconds.
Why it matters: It's an audacious idea from a company nobody expected to build hardware. The bigger prize may not be the spa at all, but the dataset. A billion body scans a month would be an anatomy library worth more than any single scanner, which is exactly why the privacy and accuracy questions matter now.
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NVIDIA
Nvidia and AWS Tackle AI's Running Costs
Image source: Nvidia
OHMO AI: Nvidia and Amazon Web Services rolled out a batch of infrastructure aimed at making AI cheaper to actually run. The headline is a new line of EC2 G7 cloud machines powered by Nvidia's Blackwell chips, plus faster GPU powered search baked into Amazon's tools by default.
The details:
AWS says the G7 instances deliver up to 4.6 times the AI inference performance of the previous generation, framed as a vendor benchmark.
Amazon's OpenSearch now uses Nvidia's cuVS to make GPU accelerated vector search the default, which Nvidia says can build databases up to 10 times faster at a quarter of the cost.
AWS also earned Nvidia "Exemplar Cloud" status for its GB300 training systems, a stamp meant to signal reliable, high performance training.
Why it matters: The flashy part of AI is the chatbot. The unglamorous part is keeping it online without going broke, and that's where this fight is now. As companies move from demos to real products, the winners may be decided less by the smartest model and more by who can serve it cheaply at scale.
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COMMUNITY
Featured Reader
Every newsletter, we feature how a reader is using AI to work smarter, save time, or make life easier.
Today's reader is Jordy W. from Brisbane, Australia:
“I write and record music for ads and short films, mostly from a tiny home studio. The composing was never the hard part. It was everything around it. Clients send a rough brief, sometimes just a mood board and one line like 'make it feel like a Sunday morning,' and then I'd spend an hour writing back asking what they actually meant. Now I drop the brief into AI and have it pull out the concrete stuff, tempo, reference tracks they hinted at, where the music needs to breathe for voiceover. It also drafts my cue sheets, which I used to put off for weeks because they're tedious and I hated them. The thing that surprised me was using it to name tracks. I'm terrible at it, I'd label everything 'final_v7_REAL' and lose my own work. Now my whole library is actually searchable.”
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