arnaudsm

Variable refresh rate displays are becoming popular in smartphones and PCs, hopefully this won't be a technical issue soon.

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That's economical theory, but the real world is often non-linear.

Crucial is dead. There's a finite amount of rare earth. Wars and floods can bankrupt industries, supply chains are tight.

Thank you for the detailed answer!

What's the optimal strategy then ? 50 GB Blu-ray remux => 3 GB AV1 ?

Google Chrome is likely around $400M, while Mozilla's core browser team is around $200M but are technologically far behind. Hard to find precise numbers, it's just an order of magnitude estimate

The standard can be forward compatible. A light website is always great, you're using one right now.

There's an elephant in the room: why is maintaining a web browser costing $400M/y?

The web standards are growing faster than non-profit engines can implement them. Google & Apple are bloating the web specs in what looks like regulatory capture.

If Blink/Webkit dominate for long enough, they will lock everything down with DRMs & WEI. Maybe it's time to work on lighter protocols like Gopher & Gemini that don't need 20GB of RAM to open 20 tabs ?

#1 models are usually priced at 2x more than the competition, and they often decrease the price right when they lose the crown.

Running an LLM by default when I open your site is the most energy-consuming thing a computer can do, and the thing consumers hate the most in 2025.

Could be optimized for benchmarks, but Gemini 3 has been stellar for my tasks so far.

Maybe an architectural leap?

Geometric mean of MMMLU + GPQA-Diamond + SimpleQA + LiveCodeBench :

- Gemini 3.0 Pro : 84.8

- DeepSeek 3.2 : 83.6

- GPT-5.1 : 69.2

- Claude Opus 4.5 : 67.4

- Kimi-K2 (1.2T) : 42.0

- Mistral Large 3 (675B) : 41.9

- Deepseek-3.1 (670B) : 39.7

The 14B 8B & 3B models are SOTA though, and do not have chinese censorship like Qwen3.

Now that SO is almost dead, how will the AI labs train their LLMs on all the programming edge cases it used to document?

Will synthetic data and documentation RAG really be enough? Or will we be stuck at 2022 debugging knowledge forever?

This is great, I wish tech giants focused more on latency.

Gmail, Notion, Facebook, are painfully slow on my high-end laptop with gigabit ethernet. Something is wrong in our modern engineering culture.

The Gemini protocol started in 2019, before Google's Gemini in 2023.

It's proably a popular word for tech workers fans of the american space race.

Sorry Stan, forgot about the Lynx, huge fan of your work!

@dang this post title was editorialized against the rules, and is highly misleading. Should we revert it ?

I'm glad em dashes exist, they help me spot AI spam.

This is the first standalone headset with an open ecosystem. That's a big deal.

Meta Quests & Apple Visions require developer verification to run your own software, and provide no root access, which slowed down innovation significantly.

Most FAANG executive and engineers use premium plans or AdBlockers, they probably don't care or even notice how dangerous their products are getting.

OpenAI burns <5B$/year in inference. They're raising that money to hyperscale larger models.

I highly recommend this talk at the American Astronomical Society from last year, which talks about the engineering culture at NASA and why Artemis has been slower than Apollo so far.

https://youtu.be/OoJsPvmFixU?t=1112

Genuine question : why are hyperscalers like OpenAI and Oracle raising hundreds of billions ? Isn't their current infra enough ?

Naive napkin math : a GB200 NVL72 is 3M$, can serve ~7000 concurrent users of gpt4o (rumored to be 1400B A200B), and ChatGPT has ~10M concurrent peak users. That's only ~4B$ of infra.

Are they trying to brute-force AGI with larger models, knowing that gpt4.5 failed at this, and deepseek & qwen3 proved small MoE can reach frontier performance ? Or is my math 2 orders of magnitude off ?

This is exciting, exceptionally the firmware & binary blob foundations that are the biggest roadblock.

Concerning the UI, I wish we had another attempt at a web-based mobile OS. FirefoxOS was too early, but APIs are much more mature now, and WASM offers great performance for low-level stuff. I might work on this full time when I retire.

Why would you need bipedism for a flying object ? Wouldn't a quadripod + quadcopter setup would be much more stable and cheaper ?

Are you referring to the llama 4 cheating ? I cannot find any reference to llama 1 cheating

Yep, it's unfortunately the industry standard, but in my career I've seen it lead to mixing up ids and painful debugging.

My other favorite best practice with SQL is to have unique ID column names, so you never mix up IDs, and can use JOIN with the USING syntax:

  SELECT *
  FROM customer
  JOIN order USING (customer_id)

It's a great tool, but the mobile experience isn't great. Everytime the socket connection fails in the background, and i have to restart and refresh the app twice to get my results.

As a kid I didn't have a phone, but my parents gave me a cheap iPod Nano. I flashed a custom OS on it (RockBox), which used Morse code as the primary input, since iPods only have a single button.

Programming in lua and writing my diary in Morse code on this microscopic device was a lot of fun.

Morse was a clever way to bypass limitations, which is the definition of hacking itself.