krapht

> Why have the US defend the island if it offers no additional value?

The US defended S. Korea for ideological reasons, and it will do the same again.

But even if you're cynical about these sort of things, the TSMC plant in the US will only provide enough chips for DoD usage. It definitely can't support the commercial sector.

I don't really have a horse in this race but you're basically denying the ability of science to have anything to say outside of the hard sciences, which I disagree strongly with.

"Can't be used to make predictions"... seriously? These factors can be used to make predictions. Now whether these things are just correlates with other more fundamental factors, or causal - I thought that was where the conflict was.

https://xkcd.com/435

I know so many people who get frustrated with hobby tools and then quit the hobby, when if they would've bought something decent to start off with, might've kept interest. The price differential is a lot less if you buy used, but quality tooling. This tooling is fully depreciated, and you can turn around and sell it for what you paid for it as long as it's still in working order.

To bring it around to programming, imagine trying to debug code in GEdit+Terminal vs having the latest and greatest Jetbrains IDE to help out (ignoring the fact that the community editions are actually pretty functional - let's time travel back 20 years when you had to pay for VS or Borland). One is way more frustrating than the other; one is way more likely to lose motivation.

Or soldering - avoid the cheapest harbor freight iron, and EBay a used Weller for $50+shipping. If you never solder again pass it on and you're out the shipping costs. Weller irons have been and always will be around $50~$60 used.

> Any cows, any animals, any living creatures are never going to be bad for the planet.

Trivial counterexample: humanity

I think you have a definition of good/bad w/r/t the planet different from the mainstream.

Chickens make hardly any sense right now, as they are quite efficient at turning feed into meat.

The big wins are in expensive cuts of meat from large, popular animals... i.e. beef and tuna.

Where's my fusion powered flying car and electricity too cheap to meter?

Nope. For the same reason I know many people who voted for Trump, and then didn't after four years of him.

They just didn't care to spend more brainpower on the issue than they already had. Most people have better things to do than be the most well-informed voter or investigate the history of the people they see on YouTube.

Law firms know this, and get around it by delegating everything they possibly can to paralegals and junior staff while representing much more hands-on involvement by senior, experienced staff.

Sorta like software outsourcing, actually.

Textbooks are a lot more work to prepare than people think, and the market is in the thousands. Especially specialist textbooks like this require the input of many upper-middle class professionals who aren't exactly cheap - much like software.

I mean, how much time do you think it would cost to prepare a 400 page textbook on Amazon AWS, with curated examples and training exercises? How many man-hours of senior engineering talent would be required? How many copies could you realistically sell?

Some textbook authors have previously posted on HN that the money is terrible in technical books, and the biggest benefit has just been credibility that the authors can use to sell themselves as consultants.

Adverse selection effect here. It's probably self sustaining at this point

Just wait until you hear about the history of anti-fencing laws dating back to the 1600s. You're missing out on centuries of outage.

No, I can't envision this. Surface texture alone will not tell you if meat is cooked. There is no getting around the temperature probe.

Now, simple color matching models are used in some fancy toasters on white bread to determine brownness. That's the most I've ever seen in appliances...

You mean some radars inability to detect stationary obstacles. Clutter rejection has a lot of more sophisticated algorithms to apply with greater compute power to throw at the problem.

I was working on something related for work many years ago... commercial gps receivers aren't sufficient. We kept time with GPS disciplined rubidium clocks, but that was only good enough for about 10 seconds of coherent operation before the phase wandered off too far @1GHz. (Not HF exactly, but...)

It would be cool to try again with caesium or hydrogen maser ...

> Filled aperture matters.

Could say the exact opposite... sparse synthetic apertures are more cost-efficient.

I'm really struggling to follow along. Control theory is nothing but a set of math tools to derive controllers and filters. Just because most people stick to linear systems with gaussian noise doesn't mean you're limited to that. I'm not sure how a quality control methodology has anything to do with control theory in general.

Situation is dire even for contractors unless your product is already in production and has somebody on the government side advocating for you.

I think in actual users Julia is behind Python, MATLAB, and R for scientific use...

I don't change my own oil for the same reason I don't mow my own lawn or haul my own garbage to the municipal dump.

MS OneNote is popular. I'm surprised nobody has mentioned it, it comes standard with office.

Well, now you know the answer is almost nobody :).

Xilinx and Altera have been promising efficient high level C++/openCL/CUDA -> FPGA compilation for decades now and almost everybody I know has been burnt by it at work, so thanks for confirming my bias, I'll avoid OneAPI too for the present. Guess VHDL and Verilog and the old standard tooling will live for another 10 years.

Everything is always amazing for the first 80% but the last 20% is impossible to fix and you end up not saving any dev time at all.

You're not gonna like this answer but every time I've had some issue like that at work the answer is: file a ticket with your local Xilinx field applications engineer.

Are you a hobbyist? Ha, have fun. Digging through the Xilinx forums is also productive.

Edit: I see you're strictly working with only free/open source tooling. I commend your patience. I also don't see the point. It's not the right choice for either learning or getting things done at the current moment.

optimal among linear functions, and the noise is gaussian...

of course noise is not gaussian in many interesting applications and nothing is stopping a nonlinear function from getting better results than a matched filter, we just have no theory to discover what such a function would be

so yes, like you, i'd need to see results on actual data before spending time to learn more about it...

> When you selected Martin Luther as your mental leader

That's not what I got from the post at all. Historically Martin Luther is extremely significant, and as that's as far as I can see why OP referenced him. And frankly, it's not very useful to apply modern norms to historical figures. I get the same vibe from your post as "Did you know Thomas Jefferson owned slaves? And raped Sally Heming? Clearly it was non-consensual because of their master-slave relationship."

If there was a geopolitical emergency that needed massive US shipbuilding efforts (ie. naval war over Taiwan) it seems obvious that Japanese and Korean shipyards would be smoking craters from Chinese medium range ballistic missiles. Assuming, as usual, that any Taiwan conflict doesn't escalate into nuclear war.

So any such agreement would be worth as much as the raw paper it was written on.

Huh? Are you saying it doesn't produce a small reserve of merchant shipping vessels?

This all or nothing thinking isn't helpful. Utterly useless? Some n ships is better than no ships.

I agree. I'm not sure how it at other companies. Both at my current company and previous one, line managers had a misc budget of $2000 before needing oversight, with bigger numbers as you went up the leadership chain, but I never interacted with those types frequently enough to ask.

This was for one time purchases only. Recurring charges i.e. SaaS offerings would need to go up to the division head for approval, which means effectively no unless it was essential stuff like Jira/Bitbucket, Office, etc.

I don't know how much I would pay because I have not researched your product, sorry for being unhelpful. Just to throw a useless number out, if there was a standalone version licensed for individual use I would impulse pay $100 to run it on my workstation and give it a try. Because while I do have scripts to automate a lot of my data analysis it's always nice to have a turnkey solution that automates it even more, and there is the promise that next year I could buy a new version that stays up to date with the integrations or adds more features. I can't imagine that is enough money to fund your development, but... there is no chance anyone in our org will jump through the hoops to adopt and purchase this as part of your enterprise sales when we already have tooling that does what you do, just not as polished. This is code we own and can extend ourselves, which I'm guessing is not something we can do with a SaaS offering.

I am afraid any information at all about data or models can't go to a 3rd party server. Practically speaking stuff has to be able to run on firewalled servers that are only accessible on the company network. Exceptions would have to go through the legal department and at least 6 months of meetings where you would be repeatedly told no, unless it is vital to the product, which a dashboard isn't, even if it could theoretically be allowed.

This looks like a dashboard version of my own Python scripts that I use to evaluate training data.

** reads more into the blurb**

Use our APIs to improve your models! Blech, not interested anymore. I can't hand out access to a 3rd party server for our data for legal reasons. Your startup can't afford to jump through the hoops to sell to my employer either, not that I would even recommend the app right now without trialing it myself.

I need something I can afford to purchase individually through my manager's discretionary budget (or myself) and run on our own servers. Most ML startups are SAAS and fail this test for me.

Heh, or you could be me, and escape embedded. I hate staring at 20 year old legacy C or C++98 codebases, Makefiles and Autotools make me cry, and trying to debug random hardware issues with blinking LEDs or print statements (JTAG access is too optimistic) is something only the most detail-oriented person might enjoy :).

I'm exaggerating a little, but more power to those of you who suffer through it!