z_rho_one

Let's just hope this is not another Magic Leap in 5 years.

Great use case of AI. Almost 4 years after the sensational release of GPT3.5, the best use case of AI is still being a powerful search engine that can gather information from all corners of the digital world.

Windows 11 has been broken since launch. If you have more than 20 files of mixed types (especially media files) in a folder, the new file explorer takes 10 seconds to load the folder. In Windows 10, the same operation took less than a second.

Windows 11 is so comically slow that I sometimes feel the warm nostalgia of using the Intel Pentium desktop shared by the entire family when I was a kid -- click, wait 3 seconds, click, wait 3 seconds, click...

One feature Firefox is really lacking is shortcuts on Android. I use Firefox on all my devices except my Android tablet. When I have a physical keyboard paird with my Android tablet and want to use keyboard shortcuts to open new tabs, switch tabs, etc. on Firefox for Android -- well, the shortcuts just don't exist. This is the only reason I use Brave instead of Firefox on my tablet. Hella annoying because my bookmarks and browsing history are not synced on the tablet, but I chose that over always having to touch the screen just to open a new browser tab.

After RAM prices climbed 200% between August and November of last year, a store associate at Micro Center encouraged me to buy some RAM sticks if I needed them because "prices might continue to rise for a few years". I told him that was ridiculous and nobody would tolerate it if prices got higher. How wrong I was...

> Over time the concept of search has mutated from 'locate the exact item I'm looking for' to 'show me a list of semantic search results'. Somehow nobody noticed.

I think many people noticed the change. However, when semantic search first came about, it was useful and not the only option. Being able to see items similar to my search term on Amazon was analogous to browsing products in the same aisle in a physical store, which was helpful when you wanted an item from a category but haven't decided on the exact one.

The enshittifying and infuriating difference now is that the choice of using semantic search have been taken away. It is often the only option, and the definition of things that are "semantic similar" is a mile wide. I appreciate semantic search when I have good use cases for it, but please give me the option to turn it off when I don't need it.

Linux might freeze from occasional OOMs, but Windows is sluggish and unresponsive even when RAM is far from full with all its unnecessary background processes. That's the difference for me.

This feels like an attempt to get more of Musk's non-coder fans to start vibe coding slop-products. "You can now code with Grok via Cursor and host your code on Origin, all without leaving Daddy Elon's ecosystem."

If they can cut the price of Sol by 50% and the price of Luna by 80%, then the original price might have carried a massive operating margin. They might still be serving the models at a profit after these price cuts, but we will never know.

Beating or comparable to Opus 4.6 in benchmarks. Opus 4.6 was released in February, 2026. So if we still want to talk about a "6 month difference" between Chinese and American AI, the sentence should now be:

Chinese (small model) AI is 6 months behind American (largest model) AI.

Wonder how many X usage this would consume when it becomes available for everyone. Fast mode already consumes 1.5x usage for 2.5x speed. Hopefully, this does not mean 8x usage for 14x speed, but rather something more reasonable such as 4x usage.

Based on what I've read today, DeepSeek Harness seems to be similar to Pi Coding Agent in design. Both are barebones to start out and rely heavily on plugins. However, 3 things make DSH stand out. 1. Plugins in DSH are required to have cleanup handlers, so I guess you could clean up plugins that are no longer used mid-session and prevent it from interfering with the current task? (unsure about this) 2. DeepSeek V4 models are post-trained on DSH. Given how cheap DS V4 is compared to OpenAI and Anthropic models, running DS V4 in DSH could be much more cost-effective while barely losing performance. 3. It's utilized and maintained by a large lab dedicated to open source AI. It's always nice to get new open source tools from large labs so that we are not always relying on small teams doing the heavy lifting.

Remember the good ol' days when we all thought that everything on the web would exist for eternity and over.

GPT-5.6 Luna is an insanely powerful model for its price. It's been great for coding workflows where I guide the LLM's hand step by step. It's also insane to see my weekly limit drop by than 2% after an hour of coding ever since the discount.

However, I've noticed 2 drawbacks with Luna. Context rot is much more palpable than Terra and Sol. It tends to get confused and go into rabbit holes when it's context gets filled up. In addition, when instructions are vague, it performs poorly and tends to write way to more code than necessary, but that is to be expected of smaller models. In all, for clearly defined, bite-sized coding tasks, Luna's price-to-performance has been insane. It might have very well commanded the price tag of Sol if it came out just a year ago.