Apc

[Apc @Apc204]

@Knightly_Hist "s6 sucks"
> Has two 9.9 episodes and a 9.7

[Apc @Apc204]

@OfficialLoganK @makeamarkery While true, this is your best model. Google doesn't have a pro or frontier anymore.

[Aaron Francis @aarondfrancis]

I implore you! Find a firm framework foundation (Laravel, Rails, etc) and build your app upon it.

Agents thrive with constraints.

If your framework has first-party answers for queues, auth, API, websockets, cron, email, etc you will have a much better time.

[Chris @ChrisGPT]

GPT 6 reading that Roon signed the ‘pace the frontier’ and then reading his X posts

[Apc @Apc204]

@bunchofnumberz1 @WarrenPies @Silicon_Data @3F_Research Big model demand. H100 are much less useful for the modern large MoE models, and not ideal for training.

[Dirty Texas Hedge @HedgeDirty]

Over 4000 workers just became millionaires by owning the means of production and the socialists are pissed

[Apc @Apc204]

@Tesla No FSD in the UK though

[Apc @Apc204]

@Ned_Donovan Jogging burns calories. Eating adds calories. He eats more than he jogs.

[Apc @Apc204]

@sporadica The boy who cried wolf ended with the wolf actually arriving.

[Apc @Apc204]

@elonmusk Codex is literally open source though?

[Apc @Apc204]

@qthomp You're short an asset trading at a ~16 forward PE that just posted 80% growth and is saturated on demand.
What's your thesis?

[Apc @Apc204]

@sashayanshin What a dumb comparison. The 10% of trips with 3+ passengers can just use another one of the many services offering transport. Thats fine for a starting point and makes it easier to get started.

[Apc @Apc204]

@Geiger_Capital Includes nuclear tests btw

[Apc @Apc204]

@barkmeta Market cap of asset is $1b, people decide to not sell unless they can get double the price. I buy $1 of it at the new 2x price. Market cap is now $2b. Selling resumes at old usual price, market cap back to $1b, has $1b of money vanished?

[Apc @Apc204]

@unclebobmartin Level of complexity AI can deal with probably exceeds humans in the not so distant future.

[Apc @Apc204]

@RhysSullivan I'm convinced this is the #1 reason for people's wildly different opinions on AI capability

[Rhys @RhysSullivan]

you ever see the way someone prompts and lose respect for them

[Gianni Settino @giaset]

the unfortunate truth about LLMs is that if you try to save money in any way (eg by using an inferior model *OR* by using a good model like Opus in an inferior/cheaper harness like Antigravity) you’re quickly going to fall behind and have an outdated worldview

you really need to be on all the Max plans to understand what’s happening. now’s not the time to be penny wise pound foolish

[Andrej Karpathy @karpathy]

I am unreasonably excited about self-driving. It will be the first technology in many decades to visibly terraform outdoor physical spaces and way of life. Less parked cars. Less parking lots. Much greater safety for people in and out of cars. Less noise pollution. More space reclaimed for humans. Human brain cycles and attention capital freed up from “lane following” to other pursuits. Cheaper, faster, programmable delivery of physical items and goods. It won’t happen overnight but there will be the era before and the era after.

[Andrej Karpathy @karpathy]

I took delivery of a beautiful new shiny HW4 Tesla Model X today, so I immediately took it out for an FSD test drive, a bit like I used to do almost daily for 5 years. Basically... I'm amazed - it drives really, really well, smooth, confident, noticeably better than what I'm used to on HW3 (my previous car) and eons ahead of the version I remember driving up highway 280 on my first day at Tesla ~9 years ago, where I had to intervene every time the road mildly curved or sloped. (note this is v13, my car hasn't been offered the latest v14 yet)

On the highway, I felt like a passenger in some super high tech Maglev train pod - the car is locked in the center of the lane while I'm looking out from Model X's higher vantage point and its panoramic front window, listening to the (incredible) sound system, or chatting with Grok. On city streets, the car casually handled a number of tricky scenarios that I remember losing sleep over just a few years ago. It negotiated incoming cars in tight lanes, it gracefully went around construction and temporarily in-lane stationary cars, it correctly timed tricky left turns with incoming traffic from both sides, it gracefully gave way to the car that went out of order in the 4-way stop sign, it found a way to squeeze into a bumper to bumper traffic to make its turn, it overtook the bus that was loading passengers but still stopped for the stop sign that was blocked by the bus, and at the end of the route it circled around a parking lot, found a spot and... parked. Basically a flawless drive.

For context, I'm used to going out for a brief test drive around the neighborhood to return with 20 clips of things that could be improved. It's new for me to do just that and exactly like I used to, but come back with nothing. Perfect drive, no notes. I expect there's still more work for the team in the long march of 9s, but it's just so cool to see that we're beyond finding issues on any individual ~1 hour drive around the neighborhood, you actually have to go to the fleet and mine them. Back then, I processed the incredible promise of vehicle autonomy at scale (in the fully scaleable, vision only, end-to-end Tesla way) only intellectually, but now it is possible to feel it intuitively too if you just go out for a drive. Wait, of course surround video stream at 60Hz processed by a fully dedicated "driving brain" neural net will work, and it will be so much better and safer than a human driver. Did anyone else think otherwise?

I also watched @aelluswamy 's new ICCV25 talk last week (https://t.co/RdaM23kvez) that hints at some of the recent under the hood technical components driving this progress. Sensor streams (videos, maps, kinematics, audio, ...) over long contexts (e.g. ~30 seconds) go into a big neural net, steering/acceleration comes out, optionally with visualization auxiliary data. This is the dream of the complete Software 1.0 -> Software 2.0 re-write that scales fully with data streaming from millions of cars in the fleet and the compute capacity of your chip, not some engineer's clever new DoubleParkedCarHandler C++ abstraction with undefined test-time characteristics of memory and runtime. There's a lot more hints in the video on where things are going with the emerging "robotics+AI at scale stack". World reconstructors, world simulators "dreaming" dynamics, RL, all of these components general, foundational, neural net based, how the car is really just one kind of robot... are people getting this yet?

Huge congrats to the team - you're building magic objects of the future, you rock! And I love my car <3.