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Welcome to OHMO AI. OpenAI says Astra, the model it is preparing to release, can find unknown flaws in software and exploit them with nobody steering it. It is the first model the company plans to release that clears its own critical cybersecurity threshold, and only a handful of partners will get the strongest of those features.
Meta has switched off photo and video on thousands of pairs of its glasses after catching owners tampering with the light that shows the camera is on. Apple has told a court that evidence in its trade secrets case against OpenAI is being destroyed.
In today's newsletter:
OpenAI's Astra can find and exploit unknown software flaws unguided, and access is being limited
Meta disabled photo and video on thousands of pairs of its glasses over a tampered light
Apple tells a court that evidence is being destroyed in its trade secrets case against OpenAI
Nvidia puts $3.5 billion into MediaTek and opens NVLink to chips it did not make
LATEST IN AI
OPENAI
OpenAI says Astra can find and exploit flaws with nobody steering
Image source: OHMO AI
OHMO AI: OpenAI says Astra can find unknown security flaws in computer systems and exploit them without a person's guidance. The unreleased model is substantially more capable than its current frontier model, GPT-5.6 Sol, and it's the first the company plans to release that meets its own critical cybersecurity capability threshold. Only a handful of partners will get access to its most advanced cybersecurity capabilities.
The details:
On OpenAI's own testing Astra turned down 91.5% of the requests it was given, against 59% for GPT-5.6 Sol, leaving 8.5% it went along with.
OpenAI's blog post says "We plan to make Astra available soon", and on the release it plans to make it says access to the most advanced cyber abilities will be more limited.
Only a handful of partners are getting those advanced cybersecurity features while OpenAI works on the balance between helping companies stop attacks and arming the people running them.
The bar, the test and the score are all OpenAI's own, and it is the lab that determined Astra can find unknown flaws in computer systems and exploit them unguided.
Why it matters: The safety case rests on OpenAI's own marking: it set the threshold, ran the test and published the score. That leaves 8.5% doing a lot of work, because on a model the company says can find and exploit flaws unguided, that is not a rounding error, it is the share of requests that got through. The tell will be whether OpenAI names the handful of partners when it goes ahead with the release it plans to make, because a safeguard built on who has access cannot be checked while nobody outside can see who that is.
PRESENTED BY ROKU
Blu Dot surpasses 2,000% ROAS with self-serve CTV ads
Home furniture brand Blu Dot blew up on CTV with help from Roku Ads Manager. Here’s how:
After a test campaign reached 211,000 households and achieved 1,010% ROAS, the brand went all in to promote its annual sales event. It removed age and income constraints to expand reach and shifted budget to custom audiences and retargeting, where intent was strongest.
The results speak for themselves. As Blu Dot increased their investment by 10x, ROAS jumped to 2,308% and more page-view conversions surpassed 50,000.
“For CTV campaigns, Roku has been a top performer,” said Claire Folkestad, Paid Media Strategist, Blu Dot. “Comping to our other platforms, we have seen really strong ROAS… and highly efficient CPMs, lower than any other CTV partner we've worked with.”
Using Roku Ads Manager, the campaign moved from a pilot to a permanent performance engine for the brand.
META
Meta switched off photo and video on thousands of pairs of glasses
Image source: OHMO AI
OHMO AI: Thousands of people who bought Meta's glasses can no longer take a photo or a video with them. Meta disabled the capture features after detecting the tampering: owners had interfered with the small light on the frame that tells everyone nearby the camera is on. The company estimates that under one tenth of a percent of all glasses sold have been tampered with, and it did not put specific figures behind that.
The details:
The estimate covers every pair Meta has sold and arrives without specific figures.
Set against that base, plus this year's sales so far, the likely offender count runs into the thousands.
What Meta removed is the photo and video taking, not the glasses, and the trigger was the disclosure light rather than anything that was filmed.
Why it matters: For anyone not wearing a pair, the light was the whole arrangement. It's on, you're being recorded. Thousands of owners interfered with it, so the fair reading now is that the light tells you about the pairs nobody has touched, and the person in frame gets told nothing either way, before the tampering or after Meta caught it.
APPLE
Apple says evidence in its OpenAI case is being destroyed
Image source: OHMO AI
OHMO AI: Apple has told a court that its trade secrets are being used and that evidence is being destroyed. The defendants have handed over a MacBook only after weeks of delay, which Apple describes as very limited information. It points at that to argue it is not conducting "fishing expeditions".
The details:
Apple claims Liu found out he was under investigation and then told an OpenAI colleague, Yu-Ting Peng, to destroy evidence in June, with Peng agreeing to do it.
An analysis cited in the filing found that Liu and others at OpenAI knew about his continued access to Apple's third party cloud storage providers, which he was not authorised to have.
The MacBook is what Apple says the defendants have produced so far, and the company puts the weeks of delay in the same sentence as the handover.
Why it matters: Apple's phrase for what it has been given is "very limited information", handed over only after weeks of delay, and it points at that to argue it is not running "fishing expeditions". Read that as why the deletion allegation is doing the heavy lifting: a company can show what left, but it needs a court to help it show what got erased. If more devices come out of that argument, the June timeline of who agreed to what is what fills in.
PRESENTED BY GREENFIELD ROBOTICS
Own AI That Works In Dirt
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NVIDIA
Nvidia puts $3.5 billion into MediaTek
Image source: OHMO AI
OHMO AI: Nvidia is investing $3.5 billion in MediaTek, the Taiwanese chipmaker. In return the deal hands over access to NVLink Fusion, which includes NVLink, the technology that moves data between chips quickly even when the chips are not Nvidia's. MediaTek's own expectation is $2 billion of revenue from the business in 2026.
The details:
Nvidia's side of the deal is a $3.5 billion investment, and what MediaTek gets back is technical access rather than a supply of Nvidia parts.
NVLink is the piece underneath it, carrying data between chips at speed, and it is built to work with silicon Nvidia did not make.
MediaTek expects $2 billion of revenue from the business in 2026 and hopes to take more of the market in the coming years, both its own projections.
Why it matters: The $3.5 billion reads like payment for a position rather than for silicon. NVLink Fusion is being opened up to chips Nvidia did not design, which is what a company does when it would rather own the connection between chips than every chip in the rack. The $2 billion is MediaTek's own expectation for 2026 rather than a booked order, and it becomes checkable when the company names who is buying.
AI GUIDES
Get AI to write in your voice by pasting in your old work
Tell a chatbot to sound "friendly but professional" and you get generic filler you end up rewriting. Paste in three things you actually wrote and it picks up your real rhythm, length and sign-off, so the first draft already sounds like you. Takes a minute, works in any chatbot, nothing to install.
Copy this, swap in the bracketed parts, and paste it in.
Here are [3] real examples of [emails I send to clients]. They are all written by me.
Example 1:
[paste the first one]
Example 2:
[paste the second one]
Example 3:
[paste the third one]
First, tell me in a few lines what these have in common: tone, typical length, how they open, how they close, what I never do. Then tell me what my examples do not cover, so I know where you would be guessing.
Then write a new [email] for this situation: [describe the situation in a sentence or two].
Match the pattern you found. Do not reuse my wording.Describing your style in words gives the AI a guess. Real examples give it the actual pattern, and having it name that pattern first shows you what it picked up before it writes a word.
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 Nura B. from Valladolid, Spain:
“I opened the post next to the bin and read one number on each bill. If the total was close to last month it went in the drawer and that was the whole check. Now it is the first Monday. Photograph every factura. Into claude on my phone with the same question every time. Line by line. What is new since last month. What went up. What am I paying for twice. It found $4.90 a month on my mobile bill for a service I never took. Eleven months of it. MCP connections are meant to make this faster and I have not tested them. What I do know is it reads a folded bill wrong. So I flatten them on the kitchen table first.”
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