SteveVeilStream

Battery backup was not required until 2010. This aircraft was manufactured in 2009. https://www.ecfr.gov/current/title-14/chapter-I/subchapter-G...

One possible scenario is that they had a bird strike on one engine but then accidently turned the working engine off instead. Full loss of power from both engines could have taken the data recorder offline in an older aircraft like this one. With both engines off, they may have panicked to try to complete a tight turn to return to the airport and to maintain altitude to make it to the runway. It's possible the landing gear was forgotten but also possible that it was intentional (to extend glide.) It's too early to know anything with certainty but I suspect that the investigation will show that a different set of choices would have allowed them to put the plane down safely (for example by continuing with the initial approach.) Even in that case, they may not have been to blame - for example they may have been following a standard procedure that should be revisited.

I share the frustration but I'm also confident that solutions will be found.

People had the same thought in 1995. "Consider today's online world. The Usenet, a worldwide bulletin board, allows anyone to post messages across the nation. Your word gets out, leapfrogging editors and publishers. Every voice can be heard cheaply and instantly. The result? Every voice is heard. The cacophany more closely resembles citizens band radio, complete with handles, harrasment, and anonymous threats. When most everyone shouts, few listen." https://www.newsweek.com/clifford-stoll-why-web-wont-be-nirv...

That problem spurred many innovations over the past 30 years. Today, the barrier to posting on the internet is lower than ever but it's also never been easier to find high quality material.

AI brings things to a new level. The multitude of fake images sand videos of the Hollywood sign burning are one example. It was slop that was almost impossible to differentiate from real images. Current systems for ensuring the right content filters to the top are breaking. It's a rich area for new innovations.

There are a lot of categories of products where it still makes sense to do the manufacturing close to the customer. Take a look at the window industry for example.

There is still a lot of manufacturing in North America, both small and large. Zoom into the industrial area of any major center and start looking at names to get some ideas.

There are also some folks that are trying to break the mold entirely. Check out https://www.srtxlabs.com/

I had an opportunity to do some industrial work while putting myself through university. I do wish there were more opportunities to do industrial work on a part time, temporary, or casual basis. There is something particularly rewarding about working with your hands as a part of a team and in combination with a large machine to produce something tangible.

One might wonder if they eventually get rebranded as Serial Processing Units and Parallel Processing Units but of course it isn't that cut and dry either.

One of the pieces of advice I would give to someone early in your career is to find a trusted seasoned executive who can share a perspective that I have never seen captured well in writing. Typical actual comp structures for a number of career paths. Board dynamics. The true sources of negotiating power. The types of restrictive terms included in exec and board contracts. etc.

It's not so black and white. Arguably, this has already happened. When I phone the bank, I don't get to talk to a person right away. An AI agent asks me questions about what I am trying to achieve and also collects initial information to verify my identity before passing me off to a human agent (if that is even required.) These virtual employees have already joined the workforce. Over time, the agents will take on more responsibility.

One simple thing I think about: Forty years ago in North America, a couple without kids would have been outliers. Today, they are still the exception but it's probably a lot easier to find community. I'm in this category and we don't feel as ostracized as I imagine we would have felt if we were living just a few decades ago. There is a tipping point there. We do a lot of things in our lives just because we don't want to go against the flow and want community.

Not too much to add but I had listened to the book and I make quick notes to myself about each book I listen to. For this one, I noted: "I think it was just fine".

The reality of OKRs (or Rockefeller Habits or any other company wide framework for establishing priorities and goals,) is that by going through the exercise of trying to create them across the company, you often discover that there are meaningful disconnects in how teams are prioritizing work or how teams function vs how other stakeholders in the company believe those teams are operating. The real value comes from diving deeper into understanding those things. However, companies often view those as annoyances and find a way to plow the goals through while completely missing that learning opportunity.

The more I learn about epigenetics, RNA, and DNA, the more convinced I am that we need to be investing much more heavily in this area. There are a lot of barriers. It starts with our education system where people need to be in school until they are far too old until they reach the edge of the state of the art. I think it's time to rethink parts of high school and university so that people can specialize in this area sooner. Funding is another major hurdle. A lot of traditional sources of funding don't map well to these problem areas where the risk and reward are both very high and the holding periods are long.

This sounds great for the problem they are trying to solve but it also sounds like it could be useful for a lot of other interesting applications. I would assume you could put the same sensor on a plastic pipe and infer details about the liquid inside. If I was this team, I might look at how to commercialize this tech for industrial process control in parallel with the slow process of commercializing it for medical purposes.

"The system’s key components are a radar chip, which sends and receives signals through the body, an engineered “meta-surface”, which helps focus these signals for better accuracy, and microcontrollers, which process the radar signals using artificial intelligence algorithms. The algorithms improve the accuracy and reliability of the readings by learning from the data over time."

Tragic. He was widely respected and far too young.

The charts showing the growth of the number of objects in orbit in recent years are wild. I have to expect this will be a lot more common going forward.

"At the very least, it’s clear that this is a question for which the models do not achieve consensus. Every single option was chosen at least once and I believe the models chose poorly in almost every case. Additional written training material and reinforcement learning may allow LLMs to effectively mimic us on this test in the near future. In the longer run, I speculate that humanoid robots will be equipped with sensors and interpretation functions that will allow them to record data that forms a representation of our qualia. This will be another dimension in multi-modal models that will allow them to supplement their current reliance on written words when predicting human behavior. In the meantime, we should be able to think of other tests that get at the heart of the human experience. Pain, pleasure, repulsion, joy, fear, love, annoyance, comfort, and anger are written about at length but clearly something is lost in translation."