This article is full of conflicting implicit beliefs and personal opinions.
This is anecdotal folksy wisdom porn.
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entontoent commented on Successful people set constraints rather than chasing goals joanwestenberg.com/smart-... · Posted by u/MaysonL
entontoent commented on Control iPhone with the movement of your eyes support.apple.com/en-sg/g... · Posted by u/9woc
It obviously can't work in all circumstances. Walking is one. Driving, whether you're controlling the phone via CarPlay or just have it mounted, is another. Using it in the dark, presumably the phone on its own doesn't light your face well enough. You can't use it with sunglasses on.
Looool
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entontoent commented on Show HN: I made a cheap alternative to college-level math & physics tutoring · Posted by u/eltonlin
Try ChatGPT4. It's obvious that almost no one in this thread has.
It still screws up, but unlike 3.5 it sometimes catches unreasonable answers and corrects itself. Case in point: the other day I asked it for the gain of a helical antenna with certain dimensions. It said "150 dBi," then said, basically, "Wait, no, that's nuts," and used a different approach to get the right answer.
Parrots don't do that. If yours does, I would like to buy your parrot, please.
In any case, as you learn to ask it the right questions to explain, verify and correct itself interactively, you will be learning the material. I find this to be amazingly effective.
I agree! Especially now that the data analysis tools have been integrated by default. It even writes and executes code to validate most of its mathy answers. I tried for a few months to find a good Physics tutor for my high school-aged daughter and eventually just started photographing her homework with GPT-4. I’d ask it to solve the problems and explain its solution to me, then I’d check the answers and teach her myself. It was correct more than 90% of the time over three months, and I relearned high school physics in the process. Even human tutors aren’t always accurate, and in my experience, they also sound confident when they are wrong. Eventually, I decided to just remove the monkey from the machine and got her an account of her own. Almost every day she tells me about something she “finally understands” that she’s been struggling with in class. Her in-class, no-access-to-GPT test scores (after I got her the account) went from high 50s to high 80s.
The landing page of this site doesn’t load correctly on my iPhone.
entontoent commented on Show HN: A simple ChatGPT prompt builder mitenmit.github.io/gpt/... · Posted by u/mitenmit
This reflects my experience. Sometimes I'll provide a single sentence (to GPT-4 with the largest context window) and it will slowly type out 3 or so words every 5 seconds, and in other cases I'll give it a massive prompts and it returns data extremely fast. This is also true of smaller context window models. There seems to be no way to predict the performance.
This is basically how I respond to requests myself. Sometimes a single short sentence will cause me to slowly spit out a few words. Other times I can respond instantly to paragraphs of technical information with high accuracy and detailed explanations. There seems to be no way to predict my performance.
entontoent commented on Tell HN: Enterprises spend 10x more to build no-code solutions than coded ones · Posted by u/nancyp
As a marketer, let me tell you how things go:
1) You have a marketing project that is speculative (as all marketing is). Say it's an API hookup and some automation between some tools.
2) You submit your project for prioritization by the dev department.
3) It gets done 9 months later. The specs are wrong because there were so many layers between the marketer and developer and the developer has no context for the project. You submit edits which get prioritized and takes another few months.
OR
You get Zapier approved by security once. Then for every project like this you fiddle with it until it does what you want. Total time: A couple of weeks.
No code removes friction from the org.
Developer time is always the biggest bottleneck at any org I've worked with. Anything that let's you get around it is worth its weight in gold.
Every time this happens at the companies I’ve worked at, it’s been because the business didn’t think the need was worth prioritizing over the other business needs. I’ve never been in an environment where IT got to make the decisions about what gets prioritized.
If the business doesn’t think something should be prioritized, but a marketer decides that they really want to have it, I’m not sure it’s a great idea to go around what the business has prioritized. Most of the cost in software comes from maintenance of legacy systems. I hope this new no-code solution is something a department has decided to maintain indefinitely! I my experience, after the marketing person quits, the no-code solution gets chucked across the fence to IT, the no-code provider stops supporting their tool, and IT is forced to build a new one as an emergency a few years later because “the business has been using it for years.”
In a healthy org, if something is truly good for the business and will create global gains across the company, it should hop to the top of the priority list. Admittedly, I’m still hunting for this theoretical healthy org, though.
entontoent commented on Notes apps are where ideas go to die (2022) reproof.app/blog/notes-ap... · Posted by u/pps
I guess this makes sense if you don’t use a Second Brain/PARA/Zettelkasten/etc. system, but my entire life is structured around Obsidian (at home) and OneNote (at work).
If you’re just throwing notes into a note-taking app with no way of processing them, I can see how this would be true, but my system is constantly resurfacing old thoughts, and I make conscious choices about what gets archived and preserved.
I read the full article, and it sounds like the author hasn’t heard of these. Confident article. Not deeply researched in my opinion.
I thought it was saying "a letter to those who fired tech writers because they were caught using AI," not "a letter to those who fired tech writers to replace them with AI."
The whole article felt imprecise with language. To be honest, it made me feel LESS confident in human writers, not more.
I was having flashbacks to all of the confusing docs I've encountered over the years, tightly controlled by teams of bad writers promoted from random positions within the company, or coming from outside but having a poor understanding of our tech or how to write well.
I'm writing this as someone who majored in English Lit and CS, taught writing to PhD candidates for several years, and maintains most of my own company's documentation.