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My mistake; it reads "3.6 Flash" and "3.8 Thinking"; I assumed "Thinking" meant "Pro" but maybe it doesn't.

At this point if a Google PM handed me $100 and said "go figure out how to issue a prompt to Gemini 4 Argon" I'm only ~30% sure I could figure out how. The Gemini app in my phone only has 3.8 Pro as the latest model; it does say "Ultra" in the bottom left, but I really don't think I'm on the Ultra plan. How I would sign up for that, on a Workspace account, is beyond our brightest minds.

Its sad watching them try to keep up when they want nothing more than to crumble under the weight of their own bureaucracy, and at this point I'm not sure there's any hope for them.

They might, but I am skeptical of this idea. The story of the past fifteen years in enterprises has been pretty clear: Move things to the cloud, we don't want to manage data centers. There are notable exceptions, but by-and-large that's the trend, and I don't understand why people believe this will suddenly reverse in the era of AI. Running a GPU cluster is substantially harder and more expensive than any other cloud resource. These companies don't even want to run their own Microsoft Exchange servers anymore, and you think they'll want to run an NVL72?

To be clear, I don't like this trend, and I strongly believe most companies are better off owning as much of their technology stack as possible, working with partners to help maintain it rather than making themselves lesser by working with AWS/GCP/Azure; but it is the trend.

Something like Azure Foundry w/ ZDR is more likely. And yeah, its possible that Ant will find competition from those kinds of providers. But Ant will also find revenue from those providers, and its hard to say where things will land in the end.

I don't think the models being a commodity matters much. Consider: Email providers are a commodity. Cloud linux server hosting is a commodity. Checking accounts are a commodity. There's a lot of great businesses, trillion dollar businesses, built on commodities. DeepSeek v7 Pro might open source and be better than any Claude model (unlikely), but JP Morgan and Eli Lilly are not going to go spend $500M on chinese AI tokens routed through OpenCode. They just aren't. The models really matter far, far less than the experience these companies build around the model, and both Anthropic and OpenAI are doing a decent job of making that experience reasonably sticky and compelling.

The M3/MY are 2-2.5T. The Roadster will be lighter, and 1.5-2T is the same weight class as the 911 and Boxter.

You should go look up the weight of a 911, Boxter, or Miata. And then, I suspect, you will not return here to reply to this comment. You'll invent some other reason why EVs can't be "nimble" or whatever, because it can't be your worldview that's wrong, it has to be the world.

There were multiple demos; its possible you only saw one, and then raced to comment about something you had incomplete knowledge about.

Well, you're insane for thinking that. Drunk driving is very unsafe, and population-level statistics don't lie. They're quite conclusive when it comes to grading the safety of drunk driving as being dangerous relative to sober driving, and Tesla's full self driving system as being safe relative to sober driving.

Only from a regulatory perspective. Anyone who drives a Tesla for long enough knows how to defeat the monitoring system, and doing so is extremely safe; significantly safer than a human driver. I would have no concerns summoning it autonomously over 100 miles, once the law allows for that to happen.

Yeah they'll make a few dozen of them and sell them to people like Joe Rogan. There is zero chance that any individual who doesn't have the personal phone number of a Tesla leadership team member will be able to buy one of these.

If you still believe FSD doesn't work, you're operating on outdated intelligence. Frankly, like a boomer saying that email doesn't work.

Teslas already have very strict (annoyingly strict) gating keeping specific functionality off of public roads (Summon). The drag mode thruster-assisted boost will probably leverage that. I also imagine that cameras on the car would stop it from being engaged if it detects humans in its firing area even when not on public roads.

The flying trim will never be sold to general consumers. Even the rear-thruster trim is currently listed at a $250,000 pre-order fee, which is a deposit for a fraction of the full cost of the car. Final cost will be over $1M. Any of the thruster variants will be extremely rare; like, the one guy in your city that has one will show it off at car shows twice a year, McLaren P1, level of rare.

Generally, very true in mental health, but moderately true for all areas of health: The idea “at least we have systems/doctors/drugs to help solve this if/when it becomes a problem” is a massive cognitohazard. You do not want to be on the other side of that fence, and belief in solutions there will slide you toward it quicker. Do everything you can to avoid it while you’re on the other side.

e.g. if you aren’t getting 10,000 steps every day for six months straight, you aren’t doing everything you can. It might not solve your problems, but you don’t know that, because you’ve never tried. If you aren’t quitting nicotine & alcohol, you aren’t doing everything you can. If you aren’t saying hi and being shot down by at least one stranger you find attractive every week, you aren’t doing everything you can.

Decision models have the potential to have an even larger impact on the Real World than LLMs have to this point (which is obviously quite large). But the model itself matters less than the product experiences you build around the model, and its very likely that the incumbent labs are treating the area as something more like "oh yeah I guess we can ship that and then forget about it" rather than investing in what building business processes on decision models looks like. Unlike full language models, I don't think the primary business of Typesafe will be serving Jev at API pricing; it'll look a lot more like putting Jev at the center of a much more expensive suite of software.

There's the potential for an inverse LLM play. In contrast with LLMs, all that seems to matter is the model, and the products the labs build around the models are all really samey and boring; the same left panel list of agents, main view agent conversation, right hand extra context, and we're now in the era of everyone creating the same cutesey furry friend on top of all this tech.

As I recall, they picked Deno over Bun during the whole vibecoding rewrite fiasco from six months ago, and there wasn't a ton of explanation given beyond the general vibe of "ai bad". They might reevaluate that in light of things being generally fine and losing their precious handcoded runtime choice.