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Comment One month a year- for 24 Hours of Lemans (Score 1) 62

I join to watch the 24 Hours of Lemans, over several days. During that month I may binge a show or watch some movies, then done.

Same with Peacock, I join for July to watch the Tour de France. Their other programming is tremendously terrible (and commercial laden), and who has time for that when the tour is 4-6 hours a day... (great background noise)

Comment Let's make all the water warmer! (Score 1) 12

I'm sure there won't be knock-off impacts of things like this (the example provided is heating the Seine to 30C from 27C).

Aquatic life has to love a good hot bath as much as I do!

The oceans appear to have a new average high area the last three years:
https://climatereanalyzer.org/...

Comment Compare an acre of biofuel corn to acre of solar (Score 2) 224

Chat-GPT says solar is extremely more productive in terms of energy opportunity per acre compared to corn for biofuels.

There are over 29 million acres farmed for biofuel production.

https://arevonenergy.com/news/...

Anyway, this is very unintelligent, all around. And that is polite.

Chat GPT Answer:
Short answer: solar absolutely crushes corn-for-ethanol on an energy-per-acre basisâ"by roughly 35â"45Ã-- each year.

Why (using U.S. medians):

Corn â' ethanol: Typical yields are ~460â"480 gal ethanol/acre/yr (e.g., 462â"484 gal from University of Nebraskaâ"Lincoln extension). Ethanolâ(TM)s energy content is ~76,000 Btu/gal. Thatâ(TM)s about 10.3â"10.8 MWh (thermal) per acre per year.
Farm Energy
CropWatch
Integrated Pest Management

Solar PV: Utility-scale solar delivers about 394â"447 MWh of electricity per acre per year (nationwide median energy density from Lawrence Berkeley National Laboratory / DOE).
The Department of Energy's Energy.gov
Energy Markets & Policy

Comparison (annual, per acre):

Corn ethanol: ~10â"11 MWh (thermal).
Farm Energy
Integrated Pest Management

Solar PV: ~400â"450 MWh (electricity).
The Department of Energy's Energy.gov
Energy Markets & Policy

Ratio: Solar yields â 35â"45Ã-- more useful energy per acre.

Notes:

This ignores ethanol co-products (animal feed) because the question is about energy per acre.

If you convert to miles driven, the gap widens further because EV drivetrains use electricity much more efficiently than internal-combustion engines burning ethanol. (Same acreage â' far more vehicle miles with solar-powered EVs.)

https://chatgpt.com/share/68a7...

Comment Re:another design that never made it (Score 1) 39

So you're saying some guy visited and had a complete laptop "mounted" to his front side so he could stand and use it?

I'm imaging a conversation with such a person. Or seeing someone waiting for public transit, standing there using a computer (one would probably get accosted doing this).

As I figured, everything you can think of exists, here's something like you described:
https://www.bhphotovideo.com/c...

Comment Re:How about it is just stupid? (Score 1) 49

There are actually some interesting quantum data and simulation angles they could have taken. Quite interesting as far as thought experiments go.

https://www.techexplorist.com/...

https://www.rudebaguette.com/e...

Regarding the movie, I can't see any human derived drivel being of any use to an advanced civilization (maybe they are looking for ways to destroy natural ecosystems on a planetary scale...).

Comment Review before Sending (Score 4, Insightful) 33

This is actually a story about people who don't check their work ("bad employees" is the term I would use).

All of the problems noted are due to people not taking the time to "LOOK AT WHAT THEY ARE SAYING".

These are people that are willing to send out results without review. They think they know what they sent, but they don't actually know.

They are the problem, not the AI. They are lazy.

Meeting transcripts are fabulously useful. My notes are keywords now, which I can then cross reference with the transcript after the meeting.

As the article makes clear, much care needs to be taken with such source material as well as information derived from them.

In this case the AI did what it was told, summarizing everything. This is easy enough to avoid, here's a sample prompt:

For the meeting transcript below, please provide:
1. To Do List - Provide a list of follow up Tasks by Party.
2. Issues - Identify, classify, and provide details around any issues mentioned.
3. Technical Discussion - Identify and summarize any technical discussions.

Guidelines:
- Ignore unrelated personal commentary.

{transcript}

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As you will see, I told them, in no uncertain terms, to see Figure one. -- Dave "First Strike" Pare

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