Comment Re:good luck with that (Score 1) 81
My thinking too. Someone wicked smart, humble, and focused... that can communicate. Shame he got pushed out in the first place.
My thinking too. Someone wicked smart, humble, and focused... that can communicate. Shame he got pushed out in the first place.
No, their problem is taking shortcuts to make metrics look good. At all levels. Boeing has a lot of pressure on them (self imposed?) to produce aircraft at a very high rate. The deliveries have been an intense focus since the 787, and the 737 has felt this doubly so. Tremendous effort was put into maximizing manufacturing throughput, which was truly an engineering feat.
It is just hard to keep that going... which leads to the shortcuts.
They need another Alan Mullaly.
Presumably his current investors know how much of a d-bag the guy is and that he cannot be trusted... so what is the investment thesis here? His buy-and-lease-back game is hard to pull off again, long-term leases on distressed properties is a huge gamble, and the old company lost many of its most compelling properties... not to mention many of them were snatched up already at a steep discount.
Actually running the business with profit and improving margins? Doesn't seem like that is his game.
Redundant power for 5G microcells is a challenge. The package might have a draw of around 500W, so you likely need at least 5kWh of battery backup, ideally 3x that. If you mount near the ground they get stolen, but to put it up the pole you have an extra 50-150kg of mass which can be unwieldy.
Yes, it needs to be done, badly, but people steal the batteries from the emergency response sirens here! You need a much more robust solution
At least in my area, 10 minutes into a power outage we lose cellphone and cable internet. There is insufficient/no battery backup for the whole chain of devices that are needed for proper functionality.
It might be time for copper landlines to disappear, but it is also time that backup power be taken seriously for what are now critical systems.
Pretty sure you aren't my sister... but she was an English Lit major and her entire career has essentially been programming and data science.
Mine was engineering, but the bulk of my career has been Adult* Daycare.
*If you can call your clients and junior engineers adults.
Have you seen how useless/unreliable Reddit commentary is? There is very little cohesive, original thought there in general. Divining the exceptions from the rule there is about more than ranking, and if the user base/quality further atrophy due to the moderation situation then it only gets worse.
Narrow AI/ML/Expert Systems are really where the energy budget dictates viability today. That will be the situation for another 5 years minimum. After that if the progress is crazy good some of those systems might get chained together effectively, but I expect the focus will be on really improving narrow AI. Reddit is useless there IMO beyond psychology.
Apple has their issues for sure, but they are nothing compared to Microsoft, Google, or Amazon in terms of consumer harm. It seems odd to me to focus energy on Apple [first]. There are things I hate about the way that Apple conducts business, but the consumer harm is not by how they use their secure enclave or run their app store. (The app subscription model is blatant consumer harm though.)
The issues is deeper than that. While Liberal Arts might have been the preponderance of students 30 years ago, they would be highly varied majors-- English, Languages, History, Sciences. What is happening now is you end up with a monoculture in CS and no breadth into the Liberal Arts and other programs.
Those programs are really foundational; even I as an introverted engineer know that and am happy I had them even if it was only ~20% of my credit-hours in school (take out math and it was down to 7%). When nobody has a major within the liberal arts those schools flounder and the broader university suffers.
And that is all even before the inevitable CS downturn that comes in cycles.
Excel can be a great engineering tool though. I have had plenty of 9,000+ row spreadsheets over the years for design and analysis. Data is in that table and you use pivots or charts to analyze it. It happens because you get source data that might have hours in a year that you manipulate with additional columns. A database is the wrong tool for that kind of task.
The situation doesn't change until you have a need for dynamic updates to the source data. Unfortunately for the Williams team, this was the position they found themselves in.
The problem is when they need to integrate into design and manufacturing systems and processes, and likely accounting. Your glue is very sensitive.
...and is that even enough? Every company you worked for is essentially public information these days, so even with only working at large companies two records with specific timeframes would often narrow you down to 30-50 people.
From the summary, it sounds like they figured out your real name in a backhanded way.
Yes and no. The hype cycle is slowing, but practical applications of machine learning and GPT are permeating more specialties. There are some cool practical applications out there which don't need someone who can visualize vast amounts of data to identify patterns and act on them.
Surprised the study wasn't based on FMRIs to actually look at brain activity.
If a subordinate asks you a pertinent question, look at him as if he had lost his senses. When he looks down, paraphrase the question back at him.