It's an incredible engineering achievement to build in massive fans and rocket engines into a high performance car. It's truly wild.

It's being sold in two modes. One with cold gas (no combustion) seemingly just for extra forwards acceleration (no flying) and one with real combustion rocket engines, the latter was in the video and is "invite only".

Wild that they devoted so much effort to an economically completely infeasible model. I wonder if the combustion version will even break 3 figures sales.

Even just the cold gas variant seems like a nightmare for production, there's a high pressure COPV in that thing and that's gonna make crashes much more.. exciting, and Tesla doesn't have a great record anyways. But very few of these are ever getting sold anyways.

  Location: US (GA)
  Remote: Yes
  Willing to relocate: Only to PNW or Bay Area
  Technologies: Python, Linux, embedded C, SQL, React, ML (PyTorch, LLMs), electrical

Hi! Generalist here looking to work on hard and meaningful problems with cool people.

2 YoE, coming off a year building the entire tech stack for a YC alum deeptech + biotech startup, from scratch, as the sole SWE or EE. (product: https://andsonbiotech.com/platform/)

I've also built/worked on rockets, drones, a lunar lander, a Mars helicopter at NASA, a LLM-driven car, AI benchmarks, and new type of 3D printer. Read about these: https://synapsomorphy.com/

Prefer early-mid stage, say seed to C, and core products that have 1 or more of [ML, biology, hardware], in order of preference.

  Location: US (GA)
  Remote: Yes
  Willing to relocate: Only to PNW or Bay Area
  Technologies: Python, Linux, embedded C, SQL, React, ML (PyTorch, LLMs), electrical

Hi! Generalist here looking to work on hard and meaningful problems with cool people.

2 YoE, coming off a year building the entire tech stack for a YC alum deeptech + biotech startup, from scratch, as the sole SWE or EE. (product: https://andsonbiotech.com/platform/)

I've also built/worked on rockets, drones, a lunar lander, a Mars helicopter at NASA, a LLM-driven car, AI benchmarks, and new type of 3D printer. Read about these: https://synapsomorphy.com/

Prefer early-mid stage, say seed to C, and core products that have 1 or more of [ML, biology, hardware], in order of preference.

  Location: US (GA)
  Remote: Yes
  Willing to relocate: Only to PNW or Bay Area
  Technologies: Python, Linux, embedded C, SQL, React, ML (PyTorch, LLMs), electrical

Hi! Generalist here looking to work on hard and meaningful problems with cool people.

2 YoE, coming off a year building the entire tech stack for a YC alum deeptech + biotech startup, from scratch, as the sole SWE or EE. (product: https://andsonbiotech.com/platform/)

I've also built/worked on rockets, drones, a lunar lander, a Mars helicopter at NASA, a LLM-driven car, AI benchmarks, and new type of 3D printer. Read about these: https://synapsomorphy.com/

Prefer early-mid stage, say seed to C, and core products that have 1 or more of [ML, biology, hardware], in order of preference.

Seems to me like people in Apple's walls are forgetting that the outside world is not some Garden of Eden. But yeah, I'd have to use it to say for sure.

All these recent proclamations of disappointment in Tahoe seem insanely overblown to me. The problem that this post leads with is that thumbnails' corners are too rounded, which "misrepresents" the original? Seriously?

Maybe it's worse now compared to the golden years, I don't know, never owned a Mac. And it's fair to criticize it from that perspective. But I am completely at a loss for how any of these issues could be bad enough to make you switch platforms. Windows and Linux are not exactly usability all-stars! I had to write my own app for decent speech-to-text on Linux which is built in at a system level on Macs.

This feels to me like just the age-old tale of people wanting to (love | hate) brands, when really, things are nuanced. I switched from Android to iOS recently and the experience did not change much. iOS is absolutely not "borderline unusable" like I've seen many claim. If anything it's maybe a 10% nicer experience overall.

Lack of nuance in people's takes makes for less signal in the noise and makes it annoying to figure out the actual pros and cons of different platforms.

Comments URL: https://news.ycombinator.com/item?id=46288616

Points: 1

# Comments: 0

Beyond these surface level tells though, anyone who's read a lot of both AI-unassisted human writing as well as AI output should be able to pick up on the large amount of subtler cues that are present partly because they're harder to describe (so it's harder to RLHF LLMs in the human direction).

But even today when it's not too hard to sniff out AI writing, it's quite scary to me how bad many (most?) people's chatbot detection senses are, as indicated by this article. Thinking that human writing is LLM is a false positive which is bad but not catastrophic, but the opposite seems much worse. The long term social impact, being "post-truth", seems poised to be what people have been raving / warning about for years w.r.t other tech like the internet.

Today feels like the equivalent of WW1 for information warfare, society has been caught with its pants down by the speed of innovation.

Well, it's better to figure this out today (that Eric / Core are not so great) rather than a year or two down the line when I'd have already bought a new Pebble. Still sucks, I was excited. Never had one but I want something in the same niche.

Does anyone have suggestions for other good low-capability, long battery, hackable eink watches?

I made a viewer on my website to build intuition for my preferred perception algorithm which is entropy filtering + correlation. Pretty neat to check out the heatmaps for random tasks, there is a lot of information inherent in the heatmap about the structure of the task: https://synapsomorphy.com/arc/

It seems pretty meaningless and not engaging with the real problem to say that AI doesn't "actually" write movie scripts or paint pictures. Like this doesn't line up with my definitions for doing those things which AI clearly fulfills.

And human intelligence arises from a well defined problem: maximizing f(environment, self) -> babies.

Also: if it were possible to measure, which it isn't, I strongly suspect that ability to solve well-defined problems and ability to solve poorly-defined problems are highly correlated, not totally uncorrelated. Happiness is a poorly defined problem, but it's just one of many, and has its own pile of things to consider that can isolate it from the general ability to solve poorly-defined problems.

I do like the framing. seems to be describing something similar to Goodhart's Law.

Am I missing something? Feels like an extremely strong indicator that we're in some level of AI bubble because it just doesn't make any sense at all.

Location: US (GA)

Remote: Yes

Willing to relocate: Yes, only to PNW or Bay Area

Technologies: Python, Linux, embedded C, SQL, React, AI/ML (PyTorch, LLMs), electrical

Résumé/CV: https://synapsomorphy.com/resume.pdf

Email: On CV

---

Fullstack engineer with 2 yrs exp. Coming off a year building the entire tech stack for a YC alum deeptech + biotech startup, from scratch, as the sole SWE or EE. (product: https://andsonbiotech.com/platform/)

I've also built/worked on rockets, drones, robots, a lunar lander, a Mars helicopter at NASA, and a new type of 3D printer. See portfolio on website: https://synapsomorphy.com/

Prefer early-mid stage, say Series C or earlier, and core products that have 1 or more of [biology, ML, hardware], in order of preference. But mostly I just care about solving hard and meaningful problems with cool people.

There are some "AI thinkers" who are trying to make 8% faster CUDA kernels for attention, and there are some trying to save the world. These fields are called "capabilities" and "alignment". There is some overlap but not much.

LessWrong is mostly the latter, and labs and universities are mostly the former. That said, many LessWrongers work on AI at labs or universities or other places.