AI-designed vaccine reaches human trials

Plus: Amazon tests a strange shopping shortcut

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Today, we will talk about these stories:

  • A vaccine built for future outbreaks

  • Amazon adds fake images to search

  • Anthropic asks AI labs to slow down

Where to Invest $100,000 Right Now, According to Experts

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Even with the turnaround in mid-April, analysts at Goldman Sachs and Vanguard have projected low-single-digit annualized returns from 2024-2034.

Bloomberg asked where experts would personally invest $100,000 for their March monthly edition.

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Why?

  1. Appreciation. The ArtPrice100 Index outpaced the S&P 500 overall from 2000 to 2025

  2. Low-correlation. The postwar contemporary segment has moved independently of traditional investments like stocks since ‘95.*

  3. Resilience. A scarce, physical, and global asset class with decades of demonstrated demand.

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*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. See important Reg A disclosures at masterworks.com/cd.

AI vaccine gets its first human test

Image Credits: BBC

A vaccine ingredient designed entirely by AI has now been tested in 39 people.

Cambridge researchers used coronavirus genetic data to create a “super-antigen” meant to train the immune system against many related viruses. The first trial focused on safety, with a second study of around 200 people planned to test immune response more clearly.

This matters because vaccine teams usually chase the virus already in front of them, especially with Covid and flu. The interesting part is practical: AI may help researchers design for families of viruses before a new strain reaches clinics.

The early immune response was modest, so this is still lab-bench work under bright lights, not a finished public health tool. Still, the same approach is already being explored for flu, H5N1 bird flu, and Ebola-related viruses.

The real question is whether human immune systems respond strongly enough.

Amazon’s AI search may confuse shoppers

Image Credits: Amazon

Amazon will show shoppers AI-made product images before they reach real listings.

The feature adds generated images under autocomplete suggestions when someone searches for products like a “blue gingham dress.” Clicking an image should steer the shopper toward closer results using Amazon’s visual search tools.

I get the problem Amazon is trying to solve: people often know the look they want without knowing the retail term. But fake product photos are a risky answer on a shopping app, where the whole point is finding something that actually exists.

This could make search feel faster in the moment, especially on a phone screen with a thumb moving quickly. It could also create disappointment when the picture that caught someone’s eye is only a guide, not an item for sale.

Amazon may learn that shoppers want better search, not imaginary products.

Anthropic wants an AI pause

Image Credits: Anthropic

Anthropic says advanced AI may soon improve itself without direct human control.

The company called for a global pause in AI development, citing internal data on how fast its top models are improving. The warning appeared in a June 4 WSJ newsletter item, which also notes criticism that Anthropic’s safety push could slow rivals.

This is a serious claim, and Anthropic benefits from making it. That tension matters because the company is both warning about risk and competing inside the same market it wants restrained.

A global pause sounds clean on paper, but it would be hard to enforce across companies, countries, and private labs. Still, the phrase “self-improvement” will stick in policy rooms, probably with coffee cups and phones on the table.

The hard part is knowing whether this is a warning, a strategy, or both.

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