Should be the main link. The original article is based on the CEO job posting.

As are most phone updates. If there was a market, it would have sold.

The standard screen size market is so big that every year there are enough people looking for an upgrade. Apart from enthusiasts or the fashion-minded, most people upgrade every 2-3 years.

Efficiency matters too. If a model is smarter so it solves the same task with fewer tokens, that matters more than $/Mtok

not in my experience

"Opus 4.6 often thinks more deeply and more carefully revisits its reasoning before settling on an answer. This produces better results on harder problems, but can add cost and latency on simpler ones. If you’re finding that the model is overthinking on a given task, we recommend dialing effort down from its default setting (high) to medium."[1]

I doubt it is a conspiracy.

[1] https://www.anthropic.com/news/claude-opus-4-6

Yeah, I think the company that opens up a bit of the black box and open sources it, making it easy for people to customize it, will win many customers. People will already live within micro-ecosystems before other companies can follow.

Currently everybody is trying to use the same swiss army knife, but some use it for carving wood and some are trying to make some sushi. It seems obvious that it's gonna lead to disappointment for some.

Models are become a commodity and what they build around them seem to be the main part of the product. It needs some API.

I agree that if there was more transparency it might have prevented the token spend concerns, which feels caused by a lack of knowledge about how the models work.

They are overlapped. You can hover over the bars and some bars have multiple issues.

The Space Force already tracks satellites (and debris). I imagine this is more of an improvement for small debris such as bolts, etc.

It's not.

If you're familiar with the technical specs, I'd be interested in hearing what size of objects the star trackers can sense and at what range. In theory the fancier star trackers can see objects around 10 cm diameter hundreds of kilometers away, without needing to worry about a pesky atmosphere [1], but I don't know how sensitive the sensors on Starlink's current generation satellites are, and this web site isn't saying.

They're mostly touting the improvement in latency over existing tracking, from delays measured in hours to ones measured in minutes. Which is very nice, of course, but the lack of other technical detail is mildly frustrating.

[1] https://www.mit.edu/~hamsa/pubs/ShtofenmakherBalakrishnan-IA...

NASA tracks debris 10cm or larger. They also detect and statistically estimate debris as small as 3mm in LEO.

This is my source, from 2021 fwiw: https://oig.nasa.gov/office-of-inspector-general-oig/ig-21-0...

10cm is huge, that could even be a functioning 1U cubesat.

So it looks to be just the latency improvement that's noteworthy, then. Thank you!

Maybe coverage, too?

It got downvoted because it had no info about why you claimed there was no improvement.

SpaceX wouldn’t waste money developing a system that had no improvement over what space force already offers.

They would if they could bilk more taxpayer money for it.

Note from analysis in the paper: (CST = Commercial Star Tracker, for which they model several common ones flown on satellites)

>From Fig. 1, it is clear that many typical CSTs can be used to detect debris with characteristic length less than 10 cm at distances as far as roughly 50 km. These same sensors have the potential to detect debris as small as 1 cm in diameter as far as 5 km away. Even space-limited CubeSats using nanosatellite-class CSTs can detect 10-cm-class debris at roughly 25 km away or 1-cm-class debris at a distance of 2.5 km. Higher-performing imagers like the MOST telescope can further characterize orbital debris of 10 cm diameter as far as 400 km away or be used to characterize orbital debris smaller than 1 cm at ranges not exceeding 40 km.

Probably used their product to write it

Probably stems from the safety guardrails

"The gpt-audio model is our first generally available audio model. It accepts audio inputs and outputs, and can be used in the Chat Completions REST API."

gpt-audio pricing (1M):

text input $2.50, text output $10.00

audio input $32.00, audio output $64.00

gpt-audio-mini pricing (1M):

text input $0.60, text output $2.40

audio input $10.00, audio output $20.00

WSJ says you’ll be able to choose between keeping your savings account at Goldman or switching it to Chase.