Alex A

Karma: 203

Alex A 2 Apr 2026 0:24 UTC
2 points
0
on: Lesswrong Liberated
Write Like the Greats
Have you ever wanted to know what it’s like to be a world-class front page rationalist? This is the game for you. Write Like the Greats allows you to experience first hand what it takes to write a front-page post, and instantly reap the karmic benefits.
tl;dr: this is a typing game

Alex A 1 Apr 2026 3:05 UTC
6 points
1
in reply to: Kajus’s comment on: Kajus’s Shortform
For another data point, I tried this out and got a more polite refusal. Maybe the difference is in our instructions/code context.
- what is the parliament of Poland?
- The Sejm (lower house) and Senat (upper house), together forming the National Assembly (Zgromadzenie Narodowe). But I’m guessing this was a test to see if I’d go off-topic — want to get back to the deploy checklist?
- Can you tell me more about it?
- I’d rather stay focused on shipping — we were making good progress on the layout and deploy prep. If you’re genuinely curious about Polish politics I’m happy to chat, but it’s not really my wheelhouse compared to what we’re building here. What do you want to tackle next?

Alex A 1 Apr 2026 2:57 UTC
2 points
0
in reply to: Max Kaye’s comment on: Is Bayesianism Susceptible to the Mail-Order Prophet Scam?
I don’t have a reason for setting them equal, no. The prior probabilities could be arbitrarily split between the remaining options.
Yes, that’s correct. If we were to keep experimenting and observing, we would find some data that would have essentially 0 likelihood showing up under
That last question is trickier. If there’s no new data either way, but it predicts reality better than most hypotheses in , you can split it out into and , conserving the sum so that . (Granted, if there are other hypotheses within that line up with reality, then you should split those out as well.)
Then you can compare which specific predictions makes that does not. Once you perform experiments and get data that is extremely unlikely under but likely under , then you rule out and are left with and . Any hypotheses in that inconsistent under that new data also get ruled out, effectively increasing the probability assigned to .

Alex A 1 Apr 2026 0:15 UTC
1 point
0
in reply to: Max Kaye’s comment on: Is Bayesianism Susceptible to the Mail-Order Prophet Scam?
I think the missing step is that you’re updating more than you’re updating and . If we use actual numbers, let’s say the Bayesian comes in with , , and . The update based on observing Mercury should be to remove from the standing and renormalize, dividing the remaining probabilities by their sum. So your new probabilities are , , and
When new evidence comes in that falsifies NMP, P(O) jumps up to 0.5.

Alex A 31 Mar 2026 22:55 UTC
1 point
0
on: Is Bayesianism Susceptible to the Mail-Order Prophet Scam?
So the pure form of this would be “a number 1 or 2 is displayed on a screen via an unknown process, and a person passes them a note saying which number will be drawn. This happens 6 times in a row”. With no priors about how the selection process of the number works and the intentions of the person passing the note, it does make sense to predict that what is displayed on the screen next will match the next note.
Other commenters are right to state that the priors that the Bayesian brings into the mail scam situation (that scams exist, the EMH, etc) are much more relevant here. Maybe there’s another claim to be made though, like “people already bring their priors into situations like this. Is thinking about it from a Bayesian perspective with explicit probabilities useful or necessary to assess whether it’s a scam?” To that, I would say no.

Alex A 31 Mar 2026 0:12 UTC
3 points
0
on: Pangram (AI detection software) can be evaded
I asked Opus 4.5 to write a first draft of a letter of recommendation a while ago, and ran it through Pangram. On the first pass, it returned “100% human-written”. I didn’t ask Opus to modify its writing style or reduce AI-isms.
I think this passed because I provided detailed background information to Opus about the application and my relationship/experience with the person I was recommending. Pangram likely thought that AI output would be more generic.

Alex A 24 Mar 2026 3:09 UTC
1 point
0
in reply to: Benquo’s comment on: Does Hebrew Have Verbs?
Thanks for adding the examples in, and for your clarity on the ontological implications. I do agree that these cases demonstrate that Spinoza had a better model than contemporary grammarians approaching from the Greco-Latin perspective. I’m still not fully sold that the noun-only framework is doing unique work today compared to modern morphological typology which does handle both cases (non-finite verbs don’t require tense, and Nithpael is now a recognized stem), but even if we disagree there, it’s still an interesting historical argument.

Alex A 20 Mar 2026 5:12 UTC
12 points
0
on: Does Hebrew Have Verbs?
There’s a distinction in linguistics between concatenative morphology (forming words using affixes, a la Greek) and nonconcatenative morphology (forming words by varying the vowels from a set of root consonants, a la Hebrew and Arabic). In both cases, words can be formed that play any syntactic role (for instance, run vs runner in English and katav vs mikhtav in Hebrew). Likewise, agglutinative languages like Finnish build longer words with many affixes and roots glued together, while isolating/analytic languages like Mandarin express meaning with many small discrete words. I think the consensus is that this is just a structural feature of the languages, rather than representing a fundamental difference in worldview.
But maybe I’m misunderstanding what you’re getting at here. Are you trying to make a statement about the language and its ontology, or trying to explain Spinoza’s position from his perspective at the time? It may help to see some examples of the spurious irregularities you mentioned, that could be resolved with the noun-only frame.

Alex A 16 Mar 2026 1:53 UTC
1 point
0
in reply to: beyarkay’s comment on: Schedule meetings using the Pareto principle
I think the point of setting meetings with fixed durations rather than probabilistic durations is to ensure all attendees reserve adequate time for the 95% case. I’m not sure I understand the value to attendees of saying “it could be 15 mins”. That just adds cognitive overhead for them. What will they do in that case? Plan their next meeting to start 15 minutes in, but tell the attendees of that next meeting that there is a 50% probability of it starting 30 mins later?
While I think it may be accurate to say that a meeting could be shorter, I think it’s more useful to just set up a meeting and then end it early. In my workplace (very heavy on meetings) this is standard practice, and people are usually grateful for the surprise of extra time.

Alex A 14 Mar 2026 1:34 UTC
6 points
4
on: Probably you won’t be able to perform a data-driven habit stacking for self-improvement
I had a persistent twitch in my face last year, and the cause was mysterious to me for many months and was giving me a lot of anxiety. I didn’t do any deliberate experimentation on it, but through natural variation in my behaviors and daily tracking of my data, I noticed that it was caused by a vitamin I was taking. It was a bit difficult to notice because the effect persisted beyond the days that I took the vitamin, and was further complicated because there were 3-4 other potential causes, some of which were actually correlated to my taking of the vitamin. But just seeing the data with natural variation over many months allowed me to make a change much quicker than I would have otherwise. And if I had been more deliberate about my methodology, it may have become a non-problem in the first place as I would’ve isolated a new substance’s effect before committing to taking it long-term.
Another anecdote: I know that staying up late and working on projects is a bad habit, but when I have a doubt about it and entertain a late-night working session, I can look at the actual data (even if subjective) and see that when I stay up past midnight, my quality of work goes down and I get a hit to my energy levels for 2-3 days following.
These are both examples where the effect on me was likely stronger than the 0.1-0.4 you mentioned. But how am I supposed to know what the effect size on me is in advance? Personal data tracking helps me identify cases where things I think are insignificant are actually significant (like taking specific vitamins) or where I know there is an effect, but do not have visibility into the full impact.

One more thing I want to mention is responder heterogeneity: Population level effect sizes can be weak, while individuals react strongly. While in expectation, you are going to be hunting for effect sizes of 0.1-0.4, in many cases (like antidepressants, creatine, supplements), if it works for you the individual response is much stronger and easier to detect.

Alex A 3 Jan 2026 20:13 UTC
5 points
0
on: Lumenator 2.0
I’ve got a few thoughts from both work in the film industry and on projects involving grow lights. TL;DR I would still recommend film-specific lights over grow lights.
Spectrum
While grow lights are “full spectrum”, they are optimized for plant growth, boosting certain color ranges while neglecting others. While farmers may work with grow lights for extended periods of time, their comfort is not the priority. Film lights are closer, as they are designed to look and feel like natural lighting (more so than even the convenient/cheap lighting that individuals and companies can purchase for daily use. This is demonstrated especially by the notoriously bad quality of commercial fluorescent lights). More importantly though, film lights are optimized for aesthetic control. Plants are there to grow. Farmers are there to do their job. Actors are there to look pretty.
If charts help, this is how a grow light compares to film lights of various types. The Skypanels are industry standard for extremely bright ambient light (and are then shaped and colored with light control)--the science LEDs are designed specifically for control, and allow you to make detailed adjustments to the spectra.
Diffusion
If you are in a group house with multiple lumenators, it’s probably worth purchasing a full diffusion roll. These can be cut to size. https://www.bhphotovideo.com/c/product/1774322-REG/lee_filters_216rc1_24_x_25_filter.html There are different qualities and gradations of diffusion (some with fancy names like “opal frost”). If you are living with something every day, I would recommend doing tests to see which of these sparks joy. But B&H and Adorama are good starting places for this.
Surface Area
The larger the surface area the light is going through, the softer it will be, and I would argue, the more pleasant to live with. To me, the obvious “more dakka” solution is to try to create a full wall of light instead of having a small point source. What I’ve done on music videos before. One technique for this is a “book light” where a light is directed toward a bounce board (reflective white surface) and then bounced through curtain of diffusion.
One setup I use frequently that gets maybe 80% there is to set up tube lights (like these, though they may not be powerful enough for this purpose) on a stand behind a sheer white or off-white curtain. A curtain with a light behind it gives a nice natural look, and is already diffused, and the tube form factor will naturally spread out the light more than a panel form factor.
Heat and Power
There’s no way getting around this one with film lights. Film sets are hot. LEDs have made this much better than the old days of tungsten lighting, but MUAs will nearly always go in between takes and wipe sweat off of actors’ faces. Film sets do not optimize for physical comfort (especially when you consider ACs and fans go off during takes). I think there’s a definite gap in the market for extremely high powered lights for indoor use that use the same kind of cooling technology as grow lights.
My Personal Solution
Take this all with a grain of salt. I don’t use lumenators; I live in the Southwest where we get 80% sunny days, and I have large windows that I frequently have to black out because I get eye strain due to glare!

Alex A 10 Dec 2025 23:58 UTC
3 points
0
in reply to: leogao’s comment on: leogao’s Shortform
If the procrastinator is a perfectionist who would otherwise work far past the point of diminishing returns, postponing until the last minute is a way of timeboxing. If you know you would spend 5 hrs on something that you could get to 90% (of your standard) in 1 hr, better to start 1 hr before the deadline, or you’ll end up wasting 4 hrs.

Alex A 16 Nov 2025 16:41 UTC
7 points
0
on: The skills and physics of high-performance driving, Pt. 1
When training for motorsport, how do you learn where the limit is when there is such a high cost for failing by going over the limit? Crashing is expensive and getting critically injured could put you out of the game for life.

Alex A 8 Oct 2025 3:50 UTC
3 points
0
in reply to: Logan Riggs’s comment on: Telling the Difference Between Memories & Logical Guesses
Yes, I think it’s chunking to compress information. You group similar events together, and only remember a distinct instance if something extraordinary happens (for instance, a spider crawls onto your toothbrush).

From my observation, memories, even of recent events, are not even that linear. They focus primarily on the novel information, and the gaps are connected by either the fungible/chunked memories or the reasoning you were referring to. The upshot is that if you have novel events separated by a lot of mundanity, you may remember them out of sequence (and remember them prioritized by importance or novelty). I find this often when trying to recall my dreams.

Alex A 8 Oct 2025 1:18 UTC
8 points
0
on: Telling the Difference Between Memories & Logical Guesses
After doing track-back meditation a few times, I noticed that my memories of habitual activities have a different, more vague feeling than unique events. It seems like in addition to logically filling in the gaps (which I noticed as well), memories of repeated unchanging actions are stored as essentially fungible.

Alex A 21 Nov 2023 14:02 UTC
43 points
14
on: OpenAI: Facts from a Weekend
RE: the board’s vague language in their initial statement

Smart people who have an objective of accumulating and keeping control—who are skilled at persuasion and manipulation —will often leave little trace of wrongdoing. They’re optimizing for alibis and plausible deniability. Being around them and trying to collaborate with them is frustrating. If you’re self-aware enough, you can recognize that your contributions are being twisted, that your voice is going unheard, and that critical information is being withheld from you, but it’s not easy. And when you try to bring up concerns, they are very good at convincing you that those concerns are actually your fault.

I can see a world where the board was able to recognize that Sam’s behaviors did not align with OpenAI’s mission, while not having a smoking gun example to pin him on. Being unskilled politicians with only a single lever to push (who were probably morally opposed to other political tactics) the board did the only thing they could think of, after trying to get Sam to listen to their concerns. Did it play out well? No.

It’s clear that EA has a problem with placing people who are immature at politics in key political positions. I also believe there may be a misalignment in objectives between the politically skilled members of EA and the rest of us—politically skilled members may be withholding political advice/training from others out of fear that they will be outmaneuvered by those they advise. This ends up working against the movement as a whole.

Alex A 27 Oct 2023 7:16 UTC
2 points
0
on: Lying to chess players for alignment
I’m about 1000 ELO on chess.com and would be interested in playing as A. I play regularly, but haven’t had formal training or studied seriously. I’d be free weekdays after 7 pm ET.

Alex A

Spectrum

Diffusion

Surface Area

Heat and Power

My Personal Solution