I usually skim/scan before reading anything. I used to do this to get a gist of what to expect, but now I do it to look for telltale signs of AI slop (and run through Pangram if I’m suspicious) before committing to reading
This is one of the coolest hacks I've seen recently. Having done some much less involved MacOS hacking, I can't help but wonder if we may finally see momentum behind some flavor of agent-friendly Linux/Android if Apple doesn't give us more ways to let agents interact with our machines.
To my understanding, while sweating is important to heat adaptation and blood plasma volume adaptations, thermal load and cardiovascular strain are likely bigger factors (and more important for the health benefits mentioned in this study). Overall thermal load is still higher in a hotter dry sauna than in a steam room
Potentially, but likely much less effective and less studied, and you likely need longer sessions for effective dosage.
Most of the studies I've seen on improvements in blood plasma volume from passive heat are usually done with sessions in saunas with temperatures > 150 degrees F (60 C). Steam rooms usually only get up to 120F (~49C) even though the humidity probably makes it feel warmer.
Copying and pasting some of my reply to another comment above
FWIW, most of the studies on improvements in blood plasma volume from passive heat are usually done on saunas with temperatures > 150 degrees F (60 C). Steam rooms usually only get up to 120F (~49C) even though the humidity probably makes it feel warmer.
Thanks for trying it, and keen eye! Fixing (with Claude code) but also taking time to try to learn a bit about the canvas drawing/pixel art, which I'm not super familiar with.
This is awesome! Working on a desktop pet so the buddy caught my attention. Looking forward to making friends with my Rare Duck buddy tomorrow. Wish it was a snarky duck instead of a patient one though.
Do you think LLMs make this process of starting the engine easier or harder? They make getting started much easier, but it might be harder to feel a sense of momentum since our expectations of speed have changed, and the learning moments have changed as well.
Author here. The FaceTime is a reference to the J Cole lyric in the footnotes.
I actually dug up a video from a class project when I was 20 and created a voice clone in ElevenLabs (and also gave it current voice samples with prompts to make it sound younger), but hearing it didn’t add anything to my introspective experience, so I stopped before creating a video clone in Tavus/HeyGen/Simli to do a call via Pipecat/Daily.
To the best of my knowledge, Waymo still has humans in the loop as Fleet Response agents that the vehicles can call for remote assistance when they aren't sure what to do. Caveat that the number needed likely isn't on the same order of magnitude as human drivers, but the job is likely higher paying. I could see a scenario where these should be locals for both latency (ChatGPT says SF to Miami RTT latency might be 80-100 ms and I don't believe the humans really teleoperate the vehicles, so that may not be meaningful, but that might be a bigger deal for international expansion) and knowledge of tricky intersections or road quirks in the city. They could also potentially help with labeling quirky city-specific scenarios and other various evals.
Love this idea! The Whiteboard Gym explainer video seemed really text-heavy (although I did learn enough to guess that that's because text likely beat drawing/adding an image for these abstract concepts for the GRPO agent). I found Shraman's personal story video much more engaging! https://x.com/ShramanKar/status/1955404430943326239
Whoa, a negative task-switch cost! I didn't take it multiple times, but it makes sense that having practice at this specific task probably improves both your overall response times and maybe more specifically improves the different trials.
What I'm curious about is whether we also get specifically good at say, task-switching between a code editor and say, Stack Overflow, over time
I've been trying to eliminate multi-tasking as much as I can, but the nature of startups day-to-day and even what seems like a single/monotask when zoomed out now often involves context switching (For say, investigating and fixing a user-reported bug, I might have to toggle between VSCode, localhost in browser + the DOM inspector or console, our bug tracker, our support ticketing tool, Slack, and sometimes the Cody window in VS Code/ChatGPT/Claude:
RT in pure trials: 448ms
RT in mixed trials: 710ms
Mixing cost: 262ms
RT in task-repeat trials (in mixed blocks): 710ms
RT in task-switching trials (in mixed blocks): 975ms
Task-switch cost: 265ms
Awesome project! Reminds me of donothingfor2minutes.com from Calm, but with a different end goal of focus instead of calm.
Regarding mobile phones going to sleep, Wake lock [1] might help, unless you can reduce to 59s since I believe 1m is the threshold (make sure to request within the context of the user hitting "start"). Unfortunately on older mobile browsers [2], the best workaround I found was using this NoSleep library[3].
TL;DR: my co-founder and I hosted hundreds of 1-hour co-working sessions ourselves.
In the early days of what is now Flow Club, my co-founder and I had built several apps to try to help us stay in touch with busy 30+-year-old friends. It was tough to get any friends to even install the apps we made on Testflight, much less use them. They were busy with work or family (and the apps just weren't compelling enough).
We started asking friends to come work together on Zoom (during the pandemic) like we used to do at coffee shops. We wanted to add some structure to these, so we made them 1-hour co-working sprints with a screen-shared pomodoro clock and agenda (5 minutes to share goals, 50 minutes of working, 5 minutes to check in), sent out the Zoom links to friends, and then started pre-committing to times at the beginning of each week and sending that out to an email list. Within a month, we had hosted a couple hundred of these sessions between the two of us and couldn't keep up with the demand or requests for more times of day as it spread to friends of friends. When an early user who we didn't know IRL and then my partner each separately asked if they could also host sessions, we were blown away. We didn't think anyone else would want to volunteer to host. Then when we realized both of them were actually better "hosts" than we were, a lightbulb came on for us that we could stop doing the unscalable thing we had been doing and build for hosts.