I'm a little bit skeptical but i dont have any objective argument or experience in the field to justify it. I didn't want to post it, but I was surprised that almost no one in the hn comments had the same feeling.
Don't get me wrong, I would love this finding to be replicable, it would be pivotal as what other nerves could we stimulate to change perception (think pain, mental health issues, loss of senses).
Also, I wonder if this could take us closer to understand a little bit more of how the brain works. Like this could be a great way for normalizing 'inputs' and see how different brains react to it.
Very very exciting news, but I will hold on my hype until someone else can replicate this result.
Chiming in as a reply to your comment since I had a similar feeling. There's no... institution!? No university or other institution listed. They list author names, which is something. But no institution, no paper, no heritage of research concepts. No citations outside of a few NIH ones not especially specific to their particular experiment. No real meaningful discussion of mechanisms. The domain itself doesn't have anything other than this page. Granted, whatever, there's no rules in this world, do what you want. But so far there's precious little in the traditional signals we typically rely on to distinguish this from misinformation.
This reminds me a bit of the escherian staircase video from 10+ years that went viral. A bunch of college students walking down the stairs, acting amazed when they found themselves at the top. It was great acting and video editing, but it was fake and all part of, if I recall correctly, an art project.
I don't want to dismiss it outright either, seems cool as hell. But it's remarkable to me that all it takes is a blogpost to get this amount of uncritical acceptance of a demonstration.
>> We reliably produced distinct scents such as a campfire burn or fresh air!
These are exactly the types of smells people report when they get head CT scans (I've experienced it myself). Always thought it was ozone forming but perhaps it's more interesting than that.
Not ultra experienced with react, but I have shot myself in the foot just because the way react is made compared to other frameworks:
- infinite loop due to re-rendering on the render function (it happens every single time i come back to react)
- using useEffect when not required
- nested object updates (dunno if this is still an issue)
- class vs whatever the name is (className?)
Overall as another comment said I feel more fighting against react pitfalls than focusing on my application's logic. That really takes a toll in productivity as part of your brain loses a small portion of 'RAM'/cognitive load as you need to make an active effort to not shoot yourself in the foot. I guess most people get used to it, but for me it just never clicks knowing there are similarly performant frameworks with way more friendly APIs.
- Upgrade our NodeJS version because it just got deprecated
- Upgrade our linter to the newest version, add a new rule, and fix all instances of that rule in our code
- Make minor changes to our UI
- Fix small bugs that I know how to fix, and can tell it exactly what to do
The main pain point they're solving for me is that I have many small tasks I need to do. Coding them isn't the main bottleneck, but creating a new branch and then creating a new PR is the main bottleneck for me. With cursor specifically, I don't even have to check out the branch locally to verify the code.
For any significant work, I'd rather manually do it in editor.
I love biking! And I do bike a lot. In fact, I often bike and run on the same day. But where I live, biking is only feasible about 5 months out of the year unless I invest in a bunch of cold weather gear. (And impossible at least 2 months out of the year due to snow/ice/slush/etc.)
IMO the mistake was not knowing what he was doing. He basically (at a macro scale) copy-pasted stack overflow code without understanding what it does... We've all been there.
I don't think LLMs are at blame here, it is a tool and it can be used poorly. However, I do wonder what's the long term effects on someone who uses them to work on things they are knowledgeable about. Unfortunately this is not explored in the article.
Looking at the archive.org mirror, the content is 2000 words and a few images. It constantly astounds me how much "compute" people seem to need to serve 10K of text in 50K of HTML.
If your business is selling server side compute to render front end web apps on the back end, you try to convince an entire generation that it's needed.
And a few companies have been very successful in this effort.
Why is healthline so high on the block/lower list? (Excluding Pinterest)
IMO I like the fact that they link sources to their claims, which is very rare on the current web. I think of it as a somewhat trustable source of information. Am I wrong?
I think it's reasonably trustworthy for a popular health site, but if I used Kagi I would block Healthline myself. Their Top N lists frequently appear on top of my health related searches when I'm looking for something more scholarly.
I block them, but I block most common health sites. When I'm searching a health condition, I almost always only want Wikipedia. But Wikipedia's search is pretty bad unless you know the exact name of what you're searching for.
To be honest, current format worked perfectly for me: I ended up reading all entries without feeling something was off in how they were organized. I really really liked that each section had a concrete example, please don't remove that for future entries.
Thank you for sharing your insights! Very generous.
Don't get me wrong, I would love this finding to be replicable, it would be pivotal as what other nerves could we stimulate to change perception (think pain, mental health issues, loss of senses).
Also, I wonder if this could take us closer to understand a little bit more of how the brain works. Like this could be a great way for normalizing 'inputs' and see how different brains react to it.
Very very exciting news, but I will hold on my hype until someone else can replicate this result.
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