Samsung’s first AI glasses are coming

Plus: AI spotted major Firefox vulnerabilities

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Today, we will talk about these stories:

  • Samsung moves into AI smart glasses

  • Claude found 22 Firefox bugs

  • Microsoft says AI ROI comes from developers

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Samsung steps into the AI glasses race

Image Credits: Samsung

Samsung is getting into AI glasses.

At Mobile World Congress in Barcelona, a Samsung mobile executive said the glasses will use an eye-level camera and send what it sees to your smartphone for processing.
Meta’s Ray-Ban smart glasses hold about 82% of the global market, so Samsung is stepping into a category that already has a clear leader.

The camera sits at eye level. Relying on the phone to do the heavy computing looks practical to me because glasses still struggle with battery, heat, and weight.
Samsung seems to be testing how much AI people actually want in something they wear all day.

Executives talk about AI agents that can call a cab or surface information based on what the camera sees, which will only work if developers actually build useful apps for it.

The demo talk happened under the bright lights of a Barcelona trade show hall. Do people really want a camera on their face all day?

AI just stress-tested one of the web’s toughest codebases

Image Credits: Anthropic

An AI model just found 22 security bugs inside Firefox.

Anthropic ran its Claude Opus 4.6 model against the browser’s codebase for two weeks as part of a security partnership with Mozilla.
Fourteen of the vulnerabilities were classified as high severity, and most were fixed in Firefox 148, released in February.

Two weeks is fast. Firefox is one of the most heavily tested open-source projects in the world, so finding that many issues in a short pass says something about how useful AI is becoming for defensive security work. It looks less like AI replacing engineers and more like a new kind of automated bug hunter that can comb through huge codebases without getting tired.

The interesting part is where the system struggled. Anthropic spent $4,000 in API credits trying to generate working exploits and only managed two proof-of-concept attacks, which suggests AI still has limits once the task moves from finding problems to actually weaponizing them.

A laptop fan hums while code scrolls by. If this becomes routine, every major open-source project will want an AI pointed at its code.

Microsoft says developer time drives AI returns

Image Credits: Microsoft

The biggest AI payoff might come from developer time.

A Forrester study commissioned by Microsoft says companies using Microsoft Foundry could see 327% ROI over three years, with developer productivity worth about $15.7 million of the gains. The model Forrester used assumes a large company with 25,000 employees and about 100 technical staff building AI apps and agents on the platform.

Most AI projects still start messy. Engineers spend a lot of time wiring together vector databases, RAG pipelines, integrations, and governance rules before they even build something useful, and that setup work quietly eats into the return companies expect from AI. Microsoft’s pitch is that a shared platform removes that repeated groundwork so teams can reuse tools, knowledge bases, and policies across projects.

The report says teams improved productivity up to 35% and some saw payback in under six months. Late evening in an office, a laptop screen shows another build running.

The real question is whether companies actually consolidate around one platform or keep stacking tools the way they always have.

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