Very fair, and worth addressing. May I ask- what are the main barriers preventing you from socializing? Could intentionally designed apps or social structures reduce those barriers? What do you think would be most helpful?
I'm not sure which happy, anti-social countries you are referring to.
"It may turn out that people aren’t hanging out at bars, but at home." I understand that entertaining at home has been in decline over the last few decades, and is at or near an all time low. Putnam discusses this in Bowling Alone, and all research I've seen lines up with that.
My belief is that most people agree that the decline of community is a problem (I'll cite the Surgeon General's report, for example). I'm open to reconsidering my position if you have sources for the opposing viewpoint.
This is the issue that is top of mind for me at the moment. If you're frustrated by political polarization, this is one of the root causes! I'm very eager to hear any ideas on steps we can take to systematically reverse this damage to society.
This image may not be a representative test case. It looks like it has heavy compression (including posterization), and overall poor quality. "Quality" meaning things like focus, contrast, and low noise- separate from resolution.
Instead of writing out frames at a fixed FPS (ie, 60 fps), the driver would send out updates to individual pixels at precise moments in time, and the unaddressed pixels would remain unchanged. I'm not sure whether or where this kind of technology is used in practice.
Not sure what Gong's pricing is, but we evaluated a few different notetakers and settled on https://fireflies.ai/. $18 / month gets a recording and summary sent out to all invitees to the calendar invite, uploaded into Hubspot, etc. Very valuable for our sales calls.
Diffusion in liquid is relatively consistent. When paper is soaked and allowed to dry, it can produce uneven concentrations as regions evaporate at different rates, and solutes move along with the flow of solvent. A good example of this is water color painting: if you mix paint into water and then apply it to the paper, the resulting patterns may be less uniform than when applied.
Imagine there were a set of a few common terms that businesses could select, each with an icon, a high-level explanation, and the detailed legal copy.
I think there is a common set of those that would probably cover 80% of needs.
The remaining 20% could be "extended", custom terms for this company.
Such a system seems like it would make things much easier for consumers to understand, and also save legal fees for most companies. Maybe a good standard for a TOS-generator company to design and promote?
This assumes that the new ponds will pull mosquitoes away from existing ponds. Is this true? (Maybe mosquitoes are limited by suitable breeding grounds, and introducing decoys could have no effect.)
It's less power efficient than a cable, so trivially it's going to generate more waste heat (sure, there might be small amounts of power released as RF, but typically, innefficies in electronics result in heat).
It would be really neat if after pulling the captions, an LLM was used to reword the content into an idiomatic "blogpost" (since speech is typically different than writing). Using LLMs, we could even choose the level of summarization and the output tone!
As someone who strongly prefers reading to watching instructional videos, I'd pay for this service :)
We faced a similar problem with consultants on an old AWS account that had become obsolete. A week of back-and-forth with support ensued as we tried to figure out how to close the account. The process seemed excessively complicated since the only way to remove the consultants, who were merely members and not admins, required them to add a billing method first. It felt unreasonable.
Ultimately, we were able to close the account with the consultants' cooperation.
I get your point that it's wise to remove consultants promptly after their contract concludes, and I agree. However, this doesn't take away from the fact that AWS's account closing policies appear to be less than user-friendly.
In my experience with ChatGPT-4, I'll get a full 2-300 line class, with maybe 1-2 compilation errors (often a missing import or invalid function invocation). In most cases, I can copy the compilation error back into the chat, GPT will apologize, fix it, and it'll run correctly the second time.
It's obvious that this will be faster and more effective once a GPT4-class model is tightly integrated into the run-compile-test loop.