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Orchid Plans To Find Out What’s Wrong With You Before You’re Born
According to CEO Noor Siddiqui, the company isn’t on a mission to make designer babies, but aims to beat genetic odds and relieve suffering.
Each day, around 400,000 babies are welcomed into the world. However, among those, a growing number will experience some kind of birth defect or inherited disease.
Noor Siddiqui, CEO of Orchid, hopes to “mitigate” unpleasant genetic surprises using genome sequencing technology to reveal a wealth of genetic information on which newborns will grow into healthy adults.
Until 2019, IVF specialists had access to under 1% of the human genome. The tests, called PGT-A and PGT-M, scanned a mere 1,000 data points in a genome comprising around 3 billion bases, offering a very limited dataset compared to the technology used by Orchid.
“Our chromosomes are like chapters in a book that make up the table of contents.” Explained Siddiqui. “[PGT-A and PGT-M tests] only examine the table of contents, whereas what Orchid is doing is like a spellcheck on the entire book.” Orchid’s genome sampling technology assesses “100 times the data, covering many more conditions.” In essence, an Orchid report covers three categories of common genetic issues: monogenic disorders, polygenic conditions, and de-novo mutations.
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Orchid’s technology raises many questions. Aside from the obvious ethical concerns, data privacy is the most obvious potential issue with the tests. Noor Siddiqui is keen to alleviate any concerns: “No data at Orchid is ever sold to any third parties. Parents are in complete control of their data. If they want to delete the data, we’re happy to delete it off of our servers. If they want to export the data, they can export the data. And if they want us to re-analyze the data, we can re-analyze the data”.
Compared to a lifetime of medical bills, gene therapy, and suffering, Orchid’s genome screening report has the potential to change the future lives of thousands of newborns worldwide.
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At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value
Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.
Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.
The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.
Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.
The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.
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Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.
What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.
