arnaudsm

That is a great example, car engines (and derivatives) did create tremendous economical value but are in the process of making our planet unhabitable.

Maybe we should listen to people that care about negative externalities more often, and actually mitigate them.

Reminds me of this paper where they demonstrate the same thing : https://arxiv.org/abs/2606.03811

The UX looks amazing and very steerable, congrats to the team for focusing on the interface.

Chats can be awful user interfaces.

At least Gnome doesn't have liquid glass

The current bugginess of Codex is the proof that OpenAI hasn't "achieved AGI internally" yet.

It's the fear of being left behind that fuels both these things.

Omitting half of the story is misleading, this isn't a pro/anti LLM story.

Vibecoding has been the norm for months, it's the embargo violation today that triggered his resignation.

Misleading title, there's another major reason: it's an embargo agreement violation that jeopardizes Linux support on PS5.

https://x.com/theflow0/status/2099987019954831744

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.