Coming back around to the olympics: I agree that humans are bipedal, but that has no bearing on the fact that the Olympic committee should take great care to create rules and categories for paralympic athletes. I think there's a lot of room for reasonable people to disagree without dismissing the complexity that comes from organizing across 8 billion people.

That was essentially just Jensen Huang lying during his Q&A. DLSS5 uses the same input data as DLSS<5, which is just screen space color data and motion vectors. From NVIDIAs announcement: "DLSS 5 takes a game’s color and motion vectors for each frame as input, and uses an AI model to infuse the scene with photoreal lighting and materials that are anchored to source 3D content and consistent from frame to frame."

I agree, every shot has something to like, especially in fine details, but I question the feasibility of fixing the issues while running the model on a consumer GPU in realtime. Getting similar improvements without falling back to diffuse lighting would require the model to infer a huge amount of information about off-screen light sources and objects. I'm much more excited about putting my tensor cores and vram towards neural textures since they can actually add detail at the geometry level.

https://www.nvidia.com/en-us/geforce/news/dlss5-breakthrough...

As an aside, I'm starting to wonder if they are modifying engine settings when switching it on and off. There's clearly some amount of accumulation it has to do and its impossible to frame-by-frame a video of a monitor, but in [1] the first frame snaps from a dynamic shadow of the steeple to a generic small blob shadow, then gets entirely eliminated on the next frame.

[1] https://youtu.be/4ZlwTtgbgVA?t=435, [2] https://youtu.be/4ZlwTtgbgVA?t=326, [3] Cyberpunk hyper-realism mod: https://www.youtube.com/watch?v=_toA8lErAHg

edit: NVM lol, the Neo only has one fully featured USB port

Separately, the variability problem can be somewhat solved with the real-time location updates that many agencies provide. You'll still have to wait the same amount of time, but some of it can be done comfortably in your house when the bus is running late.

Additionally, many stops with a lot of people loading and unloading are hubs which would never be balanced away, and often are designated timing points where the bus will wait to get back on schedule, so loading/unloading time is often irrelevant because predictability is being prioritized over speed. Improving speed and consistency with techniques like removing unnecessary stops increases predictability and allows for tightening up timetables and minimizing average hold times.

[1] https://www.wmata.com/initiatives/plans/Better-Bus/frequentl...

Autonomy could improve responsiveness to demand but you still run into other issues. DRT usually won't be able to take advantage of things proven to make buses faster and more consistent (bus lanes, reducing stop count, transit priority signals). Futher, consistency and response times gained by dynamic routing can easily be overshadowed by increased variability in trip time as the route adjusts to add new passengers or make out of the way drop-offs.

Having to write C on the watch-side isn't everyone's cup of tea but they are actively working on a replacement for rocky.js so that you can write everything in JS.

Their product is dynamically priced and individualized, and there is no guarantee of what the base rate will be. I don't see any reason they can't keep offering the 50% discount and then adjust the base rates to reverse engineer a sustainable price regardless of FSDs real safety.

> Considering how human operators behave with these systems, I'd also wager having the human operator (many don't even look at the road!) makes only a small difference.

Lemonade will likely be getting driver monitoring telemetry and calculating rates accordingly, but in either case I'm convinced that we are still on the left hand side of the Valley of Degraded Supervision [0]. Operators may not pay full attention at all times but they likely still have pretty good heuristics for what situations are difficult for FSD and adjust their monitoring behavior accordingly.

Tesla could of course release detailed crash and disengagement data to prove FSD safety. That they do not is itself a form of evidence, and in lieu of that we have to rely on crowdsourced data which says FSD 14.x still has a very long way to go to be safer than the average driver [1].

[0] https://www.eetimes.com/disengagements-wrong-metric-for-av-t...

[1] https://teslafsdtracker.com/Main

https://www.reuters.com/business/autos-transportation/lemona...

https://www.studocu.com/en-ie/document/university-college-du...

Tragedy of the Commons - Research into monitoring, maintaining, regulating, and improving resources shared by private companies

Positive externalities - Some research will not pencil out without including return on investment that cannot be captured by a company

Negative externalities - Companies won't invest in research to reduce injury to other parties (could fix with regulation also but depending on specifics this may be very difficult to enforce)

FWIW I don't think the status quo is ideal, the government should be getting more credit for and more value out of research that results in profit for private companies so it can invest in and lessen the tax burden of future research.

The April 2025 non-compliance decision the app devs reference is regarding the DMA anti-steering provisions (Article 5(4)). This decision was that Apple failed to meet their compliance obligations that were specified way back in June 2024, that they would be subject to a fine, and that they would have 60 days to comply before being subject to periodic fines [1].

The Coalition for App Fairness is saying that they don't believe Apple's App Store anti-steering remediation is compliant or timely and that the EU needs to take further action.

[1] https://ec.europa.eu/commission/presscorner/detail/en/ip_25_...

The first thing the State of NY did with congestion pricing was halt the plan (arguably illegally) before reintroducing it six months later with a price reduction to $9 down from $15: https://www.theguardian.com/us-news/2024/nov/14/congestion-p...

In general I really like the idea of a local-first, privacy-first, one-way/low-interaction digital assistant regardless of the form factor. A big frustration I have with Gemini as a voice assistant is that I have to wait out the other half of super simple interactions like setting a timer or making a note.