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toucan

toucan

@distributionat

Alysa Liu #2 Fan Account

Katılım Aralık 2021
855 Takip Edilen5.8K Takipçiler
toucan
toucan@distributionat·
just how bad could it get? by 2050 the concentration of ragweed will be 4 times higher than it is today in europe. there are parts of europe that get very little ragweed pollen and will have a lot by then.
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toucan
toucan@distributionat·
it's warm in SF, which means an uptick in tree and grass pollen count. higher temps and more CO2 means that pollen counts today are significantly higher than 20 or 30 years ago. in 2050, the weather will be sunny and warm in SF year-round, and everybody will have allergies.
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toucan
toucan@distributionat·
@chongz Tagline: We charge you MORE for the SAME tokens! 99% of the buyers would hate it and 1% would sign up immediately.
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toucan
toucan@distributionat·
Token pricing is so inefficient. We should be able to bid dynamically for tokens. It’s crazy that you can’t simply pay more to get more tokens faster.
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toucan
toucan@distributionat·
* Uber once served a significant proportion of rides, probably over 50%, with Tesla Model 3 or Ys. This has gone down a lot. I asked a driver and he said that the minimum mileage needed was uneconomical. Uber is in a weird dynamic with some (most?) of its drivers where it keeps trying to trap them into uneconomical decisions. But then those drivers, self selecting into unsustainable economics, churn. It’s weird.
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toucan
toucan@distributionat·
Some observations on consumer apps (Uber, Instagram, Spotify, Claude) * Uber plays weird games with the ETA, both for driver arrival and destination. The destination ETA is consistently above google maps ETA. This is relatively new since I remember when it was pretty close. I think it is including a buffer for driver matching, driver delay, user delay, and traffic. The net result is that the driver consistently arrives at origin and destination before the quoted ETA, which is a neat KPI to game, except the actual time-to-destination has gotten worse, because: * Uber’s driver availability has gotten thinner. First, drivers that should be eligible for comfort, comfort electric, or black or often filling regular Uber slots. It’s a sign that Uber isn’t able to match upgraded-service providers to upgraded-service consumers. Second, wait times are worse, even when ordering Priority. I think my median wait time has gone up from 2-3 minutes to 5-7 minutes for normal rides. The p75 wait time has gone up a lot. Priority doesn’t noticeably help outside extremely dense zones during rush hour. * Instagram has increased the number of ad slots on Reels. The frequency of ad-content-ad has increased significantly. Before there were always 3-4 reels between ads. I also feel like ads are shown more frequently the longer you scroll for, but I’m not super sure about this. * Spotify is pushing its new-gen AI features a lot. The DJ voiceover on the DJ feature is obnoxious. It feels like one of those features a PM did to impress a VP to convince them to launch the feature, but which actively hampers user experience. I want music to start playing when I press play. I don’t want to listen to an AI voice yap for two seconds. It’s clearly not a buffering trick because the voice is skippable! * Spotify implementing natural language as the control UX for music doesn’t make sense to me. I want to pick 3-4 songs and have it generate a playlist (a better “go to Radio” feature). The amount of information about what I want to listen to conveyed in a sentence is way less than in 3-4 songs. * Claude’s consumer app continues to be less than it could be. One simple feature I would pay A LOT for is to speed up streaming speed. The API is noticeably faster than the consumer app, and the consumer app is obviously slowed down during peak hours. Maybe I am missing the option, but I just want to pay a lot more to get my tokens faster. Another feature I want is just to generate two replies in parallel. Literally just let me pay double and double my replies. * Claude’s long context abilities are very good but not reliable after a few dozen turns. It definitely forgets / fails to recall things from context things it shouldn’t. I would be default skeptical about very long contexts involving lots of turns. An example of this is asking it to remember to do X under a specific set of circumstances, later also asking for Y, then Z… eventually it forgets X.
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toucan
toucan@distributionat·
@haugebonden @Ashwinreads I also think it’s a bit weird to not just look at the graph and realize one is hypoglycemic. Why would one wear a prescription-only CGM and seemingly not understand how to interpret the graph or consider blood glucose level as a contributory factor to energy levels?
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cra
cra@haugebonden·
@Ashwinreads The Libre app is pretty horrendous (juggluco ftw), but if you can't figure out something's wrong from this UI I don't think the app is the problem. By "hack", do you mean the Libreview csv export?
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Ashwin Sharma
Ashwin Sharma@Ashwinreads·
i was getting really cheesed off with my oura ring because i've been waking up at 3am for the past 7 days and i was expecting to understand WHY i was waking up from the data but i got nada. just some pretty data graphs on the dashboard and a shit sleep score. instead, i had to use @openclaw to hack my oura api and my cgm monitor (freestyle libre - the app is horrendous) and then i found out the answer to my restless sleep. nocturnal hypoglycemia. so simple and so easy.
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toucan
toucan@distributionat·
Wow, so the emotion of guilt and the cognitive technology of introspection was actually invented by Sigmund Freud in Vienna in 1910!! Another defining civilizational contribution by Western Civilization 💪💪💪
David Senra@davidsenra

Great men of history had little to no introspection. The personality that builds empires is not the same personality that sits around quietly questioning itself. @pmarca and I discuss what we both noticed but no one talks about: David: You don't have any levels of introspection? Marc: Yes, zero. As little as possible. David: Why? Marc: Move forward. Go! I found people who dwell in the past get stuck in the past. It's a real problem and it's a problem at work and it's a problem at home. David: So I've read 400 biographies of history’s greatest entrepreneurs and someone asked me what the most surprising thing I’ve learned from this was [and I answered] they have little or zero introspection. Sam Walton didn't wake up thinking about his internal self. He just woke up and was like: I like building Walmart. I'm going to keep building Walmart. I'm going to make more Walmarts. And he just kept doing it over and over again. Marc: If you go back 400 years ago it never would've occurred to anybody to be introspective. All of the modern conceptions around introspection and therapy, and all the things that kind of result from that are, a kind of a manufacture of the 1910s, 1920s. Great men of history didn't sit around doing this stuff. The individual runs and does all these things and builds things and builds empires and builds companies and builds technology. And then this kind of this kind of guilt based whammy kind of showed up from Europe. A lot of it from Vienna in 1910, 1920s, Freud and all that entire movement. And kind of turned all that inward and basically said, okay, now we need to basically second guess the individual. We need to criticize the individual. The individual needs to self criticize. The individual needs to feel guilt, needs to look backwards, needs to dwell in the past. It never resonated with me.

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Macrophysiological System🐀
Seriously underrated lazy vegan staple: frozen parathas. -Only 2 minutes and 50¢ each -Add flavor, crispy texture, fanciness, and calories to your third rice-and-spiced-glop dinner of the week -Kids love them and they pack well for school/daycare lunches
Macrophysiological System🐀 tweet mediaMacrophysiological System🐀 tweet mediaMacrophysiological System🐀 tweet media
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toucan
toucan@distributionat·
toucan@distributionat

you should basically ignore ramez's tweet. i am not going to bother with a writeup because it is quite obvious if you skim, but the main issue is the study is basically measuring "are people who do not move around like at all going to die from all-cause mortality" and the answer is yes, obviously. it is not attempting to measure, nor does it measure, how much exercise you should obtain for longevity benefits. the crux is that the threshold for activity is extremely, extremely low and failing to meet this threshold, any under common sense reasoning, means that you are probably extremely unhealthy, even when controlling for covariates of obesity and age. the threshold for activity is VPA=vigorous physical activity, defined by "physical activity at an energy expenditure rate of at least six metabolic equivalents". 6 METs is roughly, playing basketball, jogging at a 15min / mile, or climbing hills without load. the reason this is a very low threshold is because, as measured, 92% of all VPAs are less than a minute. when the study measures 15min of VPA over a week, that is cumulative, and that means roughly fifteen independent incidents of VPA less than a minute each. ask yourself how many VPA-minute slices somebody who is actually doing exercise would expect to incur. a single workout of a fifteen minute-mile-run should be fifteen minutes of 6 MET, definitionally! basically nobody in this dataset is working out at all! it is all being accumulated from random life moments of literally less than a minute each! the study is not measuring exercise! it is measuring VPA parameterized by a 6 MET threshold! if you are not hitting 10 min of VPA in a week you are probably dying soon because your lifestyle is incredibly unhealthy and / or your body is incapable of literally walking up a hill! and that's if you take the study data at face value. there are some questionable things going on with the accelerometer data, such as the fact that the accelerometer is on the dominant hand, rather than on the non-dominant hand, or the thigh, which is the case for many of the data collection validation studies that are cited, and also the fact that the random forest activity classifier classification scheme is seemingly unable to capture many kinds of exercise, such as weightlifting. again, as a simple thought experiment, imagine the kind of forces on the dominant wrist during a squat, compare it to dishwashing, consider the distinct metabolic load of these two activities, then realize that they get squished into the same classification. also the classifier calibration stuff is super suss. all that is to say, that the buckets of VPA total time over 10min are probably including a lot of very active people who are incorrectly classified and people who are not that active. so i highly suspect that if you actually had ground truth you would get a much tighter correlation between activity level and health. but again, a VPA total time of 30minutes over a week is VERY LOW because it is measured in 10 SECOND SLICES over ALL DAILY ACTIVITIES. If you run to catch the bus that counts as a VPA!

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toucan
toucan@distributionat·
"Exercise volume is really unimportant for fitness. This is true for cardio fitness, for mortality and longevity, and for strength." A claim which is so unbelievable on face that a priori one has to believe that either the study data is wrong, the analytical construct is faulty, or the interpretative statement is misleading, or else conclude that everything one knows about fitness and health is wrong.
Ramez Naam@ramez

Small amounts of vigorous exercise provide the bulk of the benefits of all exercise. Exercise volume is really unimportant for fitness. This is true for cardio fitness, for mortality and longevity, and for strength. This particular paper shows that <10 minutes of vigorous exercise* per week (yellow) gets you more than half of all the longevity benefits of much longer periods. It's probably an even lower amount at higher intensity. * - Vigorous exercise here is defined as roughly 6 METs or above, which is jogging, moderate cycling, hiking, etc.. Sprinting is ~4x that intensity.

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toucan
toucan@distributionat·
you should basically ignore ramez's tweet. i am not going to bother with a writeup because it is quite obvious if you skim, but the main issue is the study is basically measuring "are people who do not move around like at all going to die from all-cause mortality" and the answer is yes, obviously. it is not attempting to measure, nor does it measure, how much exercise you should obtain for longevity benefits. the crux is that the threshold for activity is extremely, extremely low and failing to meet this threshold, any under common sense reasoning, means that you are probably extremely unhealthy, even when controlling for covariates of obesity and age. the threshold for activity is VPA=vigorous physical activity, defined by "physical activity at an energy expenditure rate of at least six metabolic equivalents". 6 METs is roughly, playing basketball, jogging at a 15min / mile, or climbing hills without load. the reason this is a very low threshold is because, as measured, 92% of all VPAs are less than a minute. when the study measures 15min of VPA over a week, that is cumulative, and that means roughly fifteen independent incidents of VPA less than a minute each. ask yourself how many VPA-minute slices somebody who is actually doing exercise would expect to incur. a single workout of a fifteen minute-mile-run should be fifteen minutes of 6 MET, definitionally! basically nobody in this dataset is working out at all! it is all being accumulated from random life moments of literally less than a minute each! the study is not measuring exercise! it is measuring VPA parameterized by a 6 MET threshold! if you are not hitting 10 min of VPA in a week you are probably dying soon because your lifestyle is incredibly unhealthy and / or your body is incapable of literally walking up a hill! and that's if you take the study data at face value. there are some questionable things going on with the accelerometer data, such as the fact that the accelerometer is on the dominant hand, rather than on the non-dominant hand, or the thigh, which is the case for many of the data collection validation studies that are cited, and also the fact that the random forest activity classifier classification scheme is seemingly unable to capture many kinds of exercise, such as weightlifting. again, as a simple thought experiment, imagine the kind of forces on the dominant wrist during a squat, compare it to dishwashing, consider the distinct metabolic load of these two activities, then realize that they get squished into the same classification. also the classifier calibration stuff is super suss. all that is to say, that the buckets of VPA total time over 10min are probably including a lot of very active people who are incorrectly classified and people who are not that active. so i highly suspect that if you actually had ground truth you would get a much tighter correlation between activity level and health. but again, a VPA total time of 30minutes over a week is VERY LOW because it is measured in 10 SECOND SLICES over ALL DAILY ACTIVITIES. If you run to catch the bus that counts as a VPA!
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toucan
toucan@distributionat·
I feel like making agents communicate in English (/ monolingually) with each other is a bad choice because it's inefficient and they naturally talk in weird mixes when they're trained to reason. I don't think human supervision is a good enough reason to do this because you can just ask the model to translate?
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toucan
toucan@distributionat·
One side has escalation dominance. The other side has masculine dominance. So who's to say? Nash didn't write about this.
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toucan
toucan@distributionat·
@krishnanrohit I don’t think that’s true. The (in)ability to stay on task for a long period of time is not about finding or crafting the correct context.
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rohit
rohit@krishnanrohit·
An observation about the big AI labs is that everyone from o1 onwards already treats what exists as AGI, ie given the right context it can solve anything. Every bit of work after had been to find ways to teach the model how to find or craft that context.
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toucan
toucan@distributionat·
@bryancsk Oh please let's not be dramatic about a 4mm wrapper around a dumpling. It's not like a 6mm skin is outside the normal range of variation for a 8mm skin. Besides a 10mm dumpling skin would only add a few minutes.
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Bryan Cheong
Bryan Cheong@bryancsk·
"Thank you for waiting 30 minutes for the dumpling, it took a really long time to cook all the way through, once again on account of the wrapper"
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toucan
toucan@distributionat·
@jxnlco You've convinced me. I'm switching to Codex from Claude Code.
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jason liu
jason liu@jxnlco·
Favorite shoe of all time rn
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