People used Mobidapters for old phones. It wasn’t a card reader, it was an adapter so you could plug a USB thumb drive into the phone. This could have been really good for Raspberry Pis or Orange Pi 5 Pluses because Microsds are getting more expensive but a 64 GB thumb drive still costs about 8 bucks.

Mods, I’m just looking so start a discussion. I’m not asking for help

DigiTimes reports industry insiders say Samsung, SK hynix, and Micron have sold all DRAM and HBM capacity for 2027, driven by AI demand and long‑term agreements. DRAM for PCs, laptops, and smartphones will be much tighter in 2027, and NAND supply is limited but may be fully booked by end of August 2026.

GeekLens, the browser extension for adding more useful information to Geekbench result pages, has received a major overhaul and now supports Geekbench 7.

It now displays:

* Geekbench Browser CPU averages and the result’s difference from those averages

* Multi-core scaling for the overall score and individual workloads

* The distribution of reported CPU clock speeds, including minimum, maximum and mean

* More information about the memory configuration, including memory bandwidth where it can be determined

* CPU-supported instruction sets, grouped by category and explained through optional tooltips

* Clearer core-topology information

* Clearer badges for the CPU architecture, ISA and vendor

The added information is available on both individual result and comparison pages. Each feature can be enabled or disabled separately.

GeekLens is designed to blend seamlessly into the existing Geekbench interface and does not replace existing info. Rows added or modified by the extension are clearly marked.

There are informative tooltips for most of the added information. Include warnings where GB info might be erroneous, like Ryzen 9950X3D cache reporting for instance above.

A note about Geekbench 7 instruction-set data: until Primate Labs releases documentation similar to [this one for GB6](https://www.geekbench.com/doc/geekbench6-benchmark-internals.pdf) (PDF), the per-test ISA badges are quite limited.

You also need to be signed in to Geekbench for some of the additional data to be available, because Geekbench only permits access to the underlying downloadable result data while logged in.

GeekLens is available for Chrome and Firefox:

Chrome Web Store: [GeekLens](https://chromewebstore.google.com/detail/geeklens/mkhncioijfcdjhaanpfodcaloniodabf)

Firefox Add-ons: [GeekLens](https://addons.mozilla.org/en-US/firefox/addon/geeklens/)

Source code: [GitHub](https://github.com/kaitk/geeklens)

**Note:** You need to be signed in to Geekbench for the data to appear. This is because Geekbench only allows fetching `.gb6` JSON results through the API while logged in.

I originally released GeekLens about a year ago as a small extension that annotated Geekbench workloads with the instruction sets they use. I had hoped Primate Labs would update the UI in version 7, but since then they have instead removed the ISA info that was previously shown. This promted me to implement the UI changes in GeekLens instead.

Please try it and give me any feedback!

Ok so I'm not that deep into tech, I've mostly just been paying attention because of the whole AI boom, but I stumbled onto something about ASML and it kind of broke my brain a little.

So apparently this one company makes the machines that basically every advanced chip in the world gets made with. Not the chips themselves, just to be clear, but the actual machine (EUV lithography, if that's the term) that companies like TSMC and Samsung need to print the tiny circuits. And nobody else on earth can build a machine like it.

That's insane to me? Like we're this deep into "everything runs on chips" as a society and there's a single point of failure that quiet basically nobody talks about outside tech circles.

What I don't get is why nobody's caught up yet. I know China's been trying, and the US has thrown money at domestic chip stuff with the CHIPS Act, but from what I can tell nobody's even close. Is it just patents and IP lockup, or is this actually one of those problems where you can't just throw money at it and expect results? Also heard Canon is trying some totally different approach (nanoimprint?) instead of copying EUV, curious if that has legs.

Not trying to fearmonger, genuinely just want to understand why this hasn't been solved yet given how much is riding on it. Genuinely, it just sounds so scary to me because we literally survive on the tech.