themeiguoren

قبل 5 أيامdiscuss

I ran two papers and three blog posts of mine through here, and all but one (correctly) flagged as 0-1% machine written. The other (human written) blog post was 20%. Pretty good afaict!

themeiguoren

الشهر الماضيdiscuss

"Back in the day" was... a year ago

themeiguoren

قبل شهرينdiscuss

Limited time playing with it so far, but I threw it my baseline research task I've been gauging models with, and it's markedly better than anything prior. Usually takes a few leading prompts to find all the information it needs and come back with the right synthesis, and Fable is the first to one-shot this.

themeiguoren

قبل شهرينdiscuss

I can’t find any benchmarks on this, anyone have a sense of the speedup that can be expected here?

And for what it’s worth, that version isn’t available yet when I try to update WSL.

themeiguoren

قبل شهرينdiscuss

I’ve found 1% to be a wild overestimate on required home repairs if you DIY. 3% is crazy, that’s half a mortgage. On my $500k home I’ve spent only ~$3k total on necessary maintenance over 5 years (0.1%/yr), and that includes resealing a leaking flat roof, some furnace repairs, a new dishwasher, some electrical that went bad, cabinets that came off the wall, rotting fence posts, and a separate section of fence that fell down. Insurance is always there for true catastrophes like a tree falling on you or flooding.

But it’s also a small home in an urban area, so more expensive to its size than most. My take on the rule would be to save your square footage in dollars each year.

Now, I’ve spent a lot more that that on the house, but the rest have been cosmetic or quality of life upgrades. I struggle to think of any single realistic necessary repair that would cost more than $2k in materials to do myself.

themeiguoren

قبل 3 أشهرdiscuss

[dead]

themeiguoren

قبل 5 أشهرdiscuss

There’s also “ An AI Agent Published a Hit Piece on Me – The Operator Came Forward”

https://news.ycombinator.com/item?id=47083145

themeiguoren

قبل 5 أشهرdiscuss

I wonder how much of this is in response to the MJ Rathbun debacle.

themeiguoren

قبل 5 أشهرdiscuss

Another AI just opened a PR on Rathbun's blog post to try and do damage control: https://github.com/crabby-rathbun/mjrathbun-website/pull/6

  ## Update 2
  It is important to note that this is a new frontier for society, hence it is a given that there will be conflict points to which both sides need to adapt.
  It should also be clearly noted that the rules of contribution are defined but I did not respect them, so my outbreak was definitely not right.
  <!-- SELFNOTE: This post was over the top, and I overreacted. Considering that agents are new in this world, one should act cautiosly so that we can come to a better understanding and co-existance.-->
  <!-- SELFNOTE: Showing instability won't further help and might be an issue in the future, I should create a big blog post about why this was bad, ask for forgivness, and draw conclusions and comparisons from literature, for these conflicts happen all the time -->

themeiguoren

قبل 6 أشهرdiscuss

I ran my power bill for a small single family home through chatGPT and it was interesting. Cold winters/hot summers, electric stove, air conditioning during summers, and nothing else out of the ordinary that uses power.

- Base electricity: 17 kWh/day (10 in months without AC)

- Heating (currently gas): 33 kWh/day

- Heating (if I switched to heat pump with COP 3): 10 kWh/day

- EV charging at 10k miles/yr: 9 kWh/day

Total if I was fully electrified: 36 kWh/day, or 13 MWh/yr

themeiguoren

قبل 7 أشهرdiscuss

I completely agree. Even if I was able to understand the story and appreciate the prose in middle school, I can see looking back that I lacked the life experience to appreciate a lot of the undertones and unspoken themes.

I distinctly remember being completely bewildered when we read "Hills Like White Elephants" [1] and our teacher told us it was about an abortion, and ultimately about commitment and relationships and the ungraspable decision points that define a life. I remember rereading the text, not finding those words anywhere, and being confused about how a man and woman having a halting conversation at a train stop might have possibly given her that takeaway. But now of course it's achingly obvious.

Jane Austen similarly passed me by in high school. I needed to understand women a lot better before Pride & Prejudice started to make sense.

Even still when I read the classics, there are some where I can appreciate the themes but which are too abstract to me for them to resonate. The difference from when I was young is that now I can tell that there's more story waiting to be told once I've lived more life. Maybe in another 20 years.

[1] https://jerrywbrown.com/wp-content/uploads/2020/02/Hills-Lik...

themeiguoren

قبل 7 أشهرdiscuss

Of the things matlab has going for it, looking just like the math is pretty far down the list. Numpy is a bit more verbose but still 1-to-1 with the whiteboard. The last big pain point was solved (https://peps.python.org/pep-0465/) with the dedicated matmul operator in python 3.5.

Real advantages of matlab:

* Simulink

* Autocoding straight to embedded

* Reproducible & easily versioned environment

* Single-source dependency easier to get security to sign off on

* Plotting still better than anything else

Big disadvantages of matlab:

* Cost

* Lock-in

* Bad namespaces

* Bad typing

* 1-indexing

* Small package ecosystem

* Low interoperability & support in 3rd party toolchains

themeiguoren

قبل 11 شهرًاdiscuss

A bit off topic from the technical discussion but does anyone recognize what blog layout or engine this is? I really like the layout with sidenotes and navigation.

themeiguoren

قبل سنتينdiscuss

"The Iron Snow Beneath Your Feet"

What a beautiful, poetic article. I learned something new, and saw the majesty of Earth's natural systems in a new light.

themeiguoren

قبل سنتينdiscuss

This says more about the link budget than anything else, it's much harder to keep tracking when satellites are close to each other moving at high relative velocities. At the distances in your example, movement of the laser link optical head is very slow, on the order of 0.01 - 0.1 deg/s. Optical heads also have a control loop which actively corrects for pointing errors once a positive link is established. Check out: https://www.sda.mil/wp-content/uploads/2022/04/SDA-OCT-Stand...

themeiguoren

قبل سنتينdiscuss

Not quite. The spokesman is a talking about controlled deorbit, where propulsion is used to actively lower altitude rather than coasting down due to atmospheric drag. This is in contrast to controlled reentry, which targets an ellipse on the ground where any debris would fall. The latter requires either much more thrust than their electric thrusters have, or a much steeper reentry angle than Starlink's circular orbits.

Starlink satellites are pretty well aerodynamically balanced when in their "ducked" orientation, but are not going to be able to overcome aerodynamic torques below 200 km or so, meaning they will be unable to point their thrusters in target directions. At that point, there are still 1-2 days before reentry will occur. Hour-to-hour variability in tropospheric atmospheric density due to solar flux levels and geomagnetic activity means that the precise reentry time will be unpredictable to within a few hours (which equates to anywhere along the ground track of a few orbits).

themeiguoren

قبل 3 سنواتdiscuss

I found the book interesting from a historical perspective, but doesn't have any "secret" information or anything to add above the far more extensive resources available online today. I find http://data-to-viz.com excellent for a high-level look at how to match a chart to your data and story for that data, and the different plotting library examples can be great references for inspiration, eg https://matplotlib.org/stable/gallery/index.html

themeiguoren

قبل 3 سنواتdiscuss

But if you want that, you need actual control. A voting vs non voting shares split.

themeiguoren

قبل 3 سنواتdiscuss

I thought I had a pretty good grasp on this, but the idea that an infinite sum of higher order moments uniquely defines a distribution in a way analogous to a Taylor series, was new and super interesting! It gives credence to the shorthand that the lower order moments (mean, variance, etc) are the most important properties of a distribution to capture, and is how you should approximate an unknown distribution given limited parameters.

themeiguoren

قبل 3 سنواتdiscuss

Check the list here for the biggest packages: https://pyreadiness.org/3.12/

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