whitej125

TR will not disappear. But their value to the market was "data + interface to said data" and that value prop is quickly eroding to "just the data".

You can be a huge, profitable data-only company... but it's likely going to be smaller than a data+interface company. And so, shareholder value will follow accordingly.

I learned of the lid angle sensor due to my MBP draining its battery. Whenever I flew across the country I'd always end up with a dead battery. Originally thought it was some process preventing sleep but was spinning circles hunting it down until one night, I closed the laptop... the screen turned off as it was closing and just as it shut.. you could see the faint glow of the screen turning back on again. If I cracked the lid open 1/8th of an inch it would turn off again.

I had thought that the MBP (an Intel one) had used magnets to detect lid closure but alas that's when I learned of the lid angle sensor and all the symptoms I was experiencing made sense. Basically the laptop would wake up when shut and the screen would stay on the entire time thus draining the battery.

Ended up getting the LAS replaced which was not DIY'able unfortunately... but was a relatively cheap fix (~$90).

Likely to steer clear of regulatory scrutiny or approval processes (specifically FTC and DOJ).

> Tesla vehicles have a fatal crash rate of 5.6 per billion miles driven, according to the study;

> So, why are Teslas — and many other ostensibly safe cars on the list — involved in so many fatal crashes? “The models on this list likely reflect a combination of driver behavior and driving conditions, leading to increased crashes and fatalities,”

What is the nature of those miles driven by each brand? I've got to imagine that pure-EV companies like Tesla are predominantly driven in urban/city driving (shorter daily distances, more traffic, etc). In contrast to ICE cars which can rack up lots of miles on long trips.

1 billion Tesla miles I suspect looks different than 1 billion Ford miles.

Would be neat if instead an open-ended challenge ("here's some data, do something cool") the MTA instead shared a list of hypothetical or real problems to solve and provided data that could be potentially useful in the exploration/solution to the problem.

I ask this question - always - but it goes like this.

Q1: Rate yourself 1-10 on X language? Their answer is Y (and almost always 7).

Q2: What's the difference between a Y and a Y+1?

Q2 is real question with Q1 being there just for framing. Some people simply state that the difference between a 7 and an 8 is "just more experience". TBC, that's not a wrong answer.

However what gets me really excited is when this line of questioning shines a light on what the candidate is curious about, or interesting in learning next. It goes a step beyond just self-awareness that there is always more to learn. To me it's a signal that this person has a plan and a drive to grow oneself.

While I do not make binary hiring decisions on this question or any question; I can vividly remember the answers I was given to this line of questions by some of the best engineers I've worked with.

Happen to be in France and can confirm (along with many others on Reddit) that cell service is indeed out. Interestingly it’s not one carrier but seems to be all the major ones (VZ, ATT, TM) and has been this way for 24 hours.

I used LangChain early on in it's life. People crap on their documentation but at least at that point in time I had no problem with it. I like reading source code so I'd find myself reading the code for further comprehension anyway. In my case - I'm a seasoned engineer who was discovering LLMs and thought LangChain suited that way of learning pretty well.

When it came to building anything real beyond toy examples, I quickly outgrew it and haven't looked back. We don't use any LC in production. So while LC does get a lot of hate from time to time (as you see in a lot of peers posts here) I do owe them some credit for helping bridge my learning of this domain.

It’s got a term - “garden leave” and yeah it was prevalent in finance. I say “was” because I think some states are changing laws wrt/ non-competes and this calling this practice into question.

Does this change a lot for many people?

This doesn't mean you can scurry off a just build a competing product/service to your existing employer. You probably also have NDA and/or IP agreements too.

> The Commission found that employers have several alternatives to noncompetes that still enable firms to protect their investments without having to enforce a noncompete.

> Trade secret laws and non-disclosure agreements (NDAs) both provide employers with well-established means to protect proprietary and other sensitive information. Researchers estimate that over 95% of workers with a noncompete already have an NDA.

Trade secrets would generally include anything from code, approaches to problems, product roadmaps, customer lists, etc (so spans not only engineering... but also product, sales, etc).

20 years ago nobody thought there'd be a another US automaker beyond the big three (Ford, GM, Chrysler)... yet today here we are with Tesla and a list of others.

Are there any other US companies today that could ostensibly be viable alternatives to Boeing's spot 20 years from now?

Electric-first-and-only was the differentiator for Tesla vs big three... what differentiator will it be in the aero industry?