Google Photos leans into memes

Google Photos adds a self-meme tool

Google Photos now lets you turn yourself into a meme.

The new “Me Meme” feature uses Gemini to combine your photo with meme templates, generating images you can save or share from the Photos app. It is experimental, U.S.-only for now, and lives under the Create tab, with Google saying rollout will take a few weeks on iOS and Android.

This is not a breakthrough feature. It is a retention move, meant to give people a reason to open Google Photos at night on the couch and tap around instead of drifting to another AI app. Google has learned that users engage more when AI puts their own face at the center, even if the output is rough.

As image models flatten out, distribution matters more than novelty. Google Photos already owns billions of personal images, and that gives it an advantage others cannot easily copy.

If AI tools all feel similar, does owning the photo library decide who wins?

Job seekers challenge AI hiring scores

A hiring algorithm just got compared to a credit bureau.

Job applicants sued Eightfold AI, arguing its resume screening scores should fall under the Fair Credit Reporting Act, the same law that governs credit reports. Eightfold scores candidates one to five using data pulled from places like LinkedIn, and applicants say they never see the score or know why they were filtered out.

This case goes after opacity more than bias. The plaintiffs are saying that if software quietly ranks people and blocks access to jobs, it should carry basic obligations like disclosure and error correction. That feels reasonable when rejections land at 1:50 a.m. and no human is involved.

If courts agree, a lot of hiring tech companies will need to redesign how they explain themselves, not just how their models work. The era of silent algorithmic gatekeepers may be ending, replaced by slower, more accountable systems.

Once applicants can see their score, will companies still trust the machine as much?

Harvey buys speed, not headlines

Harvey just bought a two-year-old demo startup.

Harvey acquired Hexus, a San Francisco company that builds tools for product demos, videos, and guides, and folded its entire team into the company. Hexus had raised $1.6 million, and its founder will now run an engineering group aimed at in-house legal teams as Harvey plans a Bangalore office.

This is not about demo software. It looks like a talent and velocity grab by a company that already has money, customers, and pressure to move faster as rivals crowd the legal AI space. When you are valued at $8 billion and serving over 1,000 clients across 60 countries, small execution gains matter.

Harvey is signaling that product polish and onboarding now matter as much as raw model performance. Legal AI is shifting from wow moments to daily use, measured in quiet office hours and fewer edits before sending work out.

If everyone has capable models, who actually ships better tools week to week?

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