Flux159

Even today Microsoft can't get their shit together on a decent user experience. Tried to use Azure since I needed to code sign a binary on Github. My two previous accounts setup on Azure errored out with obscure errors and there was no way to fix them. I had to create a new account just to sign up for Azure Artifact Signing (which is now waiting for Microsoft to approve - no updates in a week). I don't know how anyone figures any of this out without reading pages of documentation. I honestly believe that no one actually cares about their products or user experience at Microsoft.

There's also an Inkling-Small that is 276B, 12B active that is much smaller than GLM 5.2 and still multimodal. Not released yet, but in the announcement link they mention that they're testing Inkling-Small & will release as open weight after testing. That one may be interesting as a Deepseek V4 Flash replacement.

Article from semianalysis that goes into the history of CXMT & over a decade long investment (including government support) to become a 4th player in the DRAM market.

Useful to understand in the context of the current DRAM supply constraints since it also goes into what capacity the other 3 players are bringing online in the next 2 years.

Unreal will definitely get better results out of the box, but it's also possible to do photorealism with significantly less overhead (particularly UE shader compilation overhead) - useful for single purpose platforms. If you don't need to support lots of specific editor or game features, it may be a valuable investment.

UE is definitely used to obtain simulation data in other domains (this is coming from first hand experience in big tech), but usually through scripting UE handmade levels in python which also needed convoluted server systems at the time (hopefully this has gotten better now).

Agree that the choices are strange. Sonnet 4.6 was tested, but no Opus 4.6.

Gemini 3.1 and GLM 5 came out around the same time as Sonnet 4.6 (~Feb 2026) so it's strange that they are missing, but Gemini 2.5 Flash, Gemini 3 Flash, and GLM 4.7 are there.

I think the reason we're not seeing many examples yet is that the full loop doesn't work completely autonomously yet. There's still a human in the loop at some critical points - specifically testing against a spec (runtime testing if say working on web or mobile app before shipping to users). LLMs can do compile time testing and validation, unit tests, and can write your end to end tests, but if you're shipping software to users, there's still a human somewhere involved. This isn't even mentioning marketing and actually getting your software into the hands of users - which while it can be automated, a lot of marketing with AI is still sloppy.

There’s some early work being done here by companies looking at making LLM ASICS like Taalas (HC1 gets 17k t/s for llama 8b - currently at 2.5kW which is closer to a single server, but this is their first chip).

There’s other options like photonic computing which might be able to reduce power significantly but are still in research as far as I can tell. Because so much money is invested in AI & traditional gpu inference is so power hungry, I would expect significant improvements in this space quickly.

I'm going to be honest - this is over a year late. I still use ChatGPT on Mac because it actually had a Mac App from May of 2024, whereas I had to go to the Gemini website to use Gemini. It was even worse because of the fragmented experience - there's been an iOS Gemini app for a while now. Integrating Gemini into Chrome is not the same experience as having a standalone app.

Now that it's at least here, hopefully Google can continue updating it instead of giving up on it if their metrics don't show as fast growth as iOS or Chrome usage.

Amazon checkout is not working for me right now. There's no Amazon specific status page it seems?

AWS has information about their UAE data centers, but haven't seen any confirmation from Amazon itself that amazon.com is having issues.