Where are you getting that from? It's a productivity tool. Someone who knows what they're doing can leverage LLMs to improve their productivity. Someone who doesn't know what they're doing will be able to increase their output but not do it as effectively and with lower quality.
If anything, it now requires more skill to maximize. If you have strong product and engineering experience you can get even more out of an LLM than one of those skills alone.
The other commenters seem to be commenting on style consistency but ignoring your example. Your original format is far easier to read and understand plus the meaning of the comment is lost. IMO you're completely right about this example. Single line dict definitions shouldn't exist. Dicts are far easier to understand and manage when each key/value pair is on its own line, regardless of length.
You should do this regardless, no watch needed. The only phone notifications that should be turned on are ones that could be urgent. Phone calls, maybe text messages, alarms, and calendar reminders. No email, no social media, no stupid random apps telling you about some discount.
Why does someone always say this about a tech company when they have layoffs, regardless of company size?
465 employees is not that large. Patreon handles millions of transactions. They need support, sales, engineers, etc. If anything I'm surprised they're not well over 1000.
> Every practical use of that 50 gb copy of Home Alone would have you transcoding it. Most clients would choke on that bit rate.
What clients are you using? I use the highest bitrate HDR videos possible. I very rarely have to transcode. 4k TVs are cheap as are 4k streaming devices.
The main case for transcoding is playing a video in a browser that doesn't support the original codec. Everything can handle high bitrate streams now. The one other rare exception is video that's over 100Mbit/s. I've encountered a few that are that high and some streaming boxes can only handle 100Mb.
There are two problems, false positives and changing the LLM's pattern.
It's really easy to have a false positive and false positives can be very harmful if the person using the detector isn't aware of that risk.
It's also very easy to change the pattern of LLM output. You can provide basic prompting that will significantly change the structure of the output. For example, having it utilize the Wikipedia article on signs of AI writing and avoid everything it describes. https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing
It works well until it doesn't. I've been a Spotify user for at least 15 years (wild to say that). I've discovered a ton of bands I've become a long term fan of.
But also their algorithmic playlists have gotten worse and worse. They overfit user data. They all recommend the same singles over and over and over. I've found they also don't make sense, recommending music that doesn't even belong in the playlist.
I've switched to user created playlists more often than the algo ones, although a lot of user playlists are just saved copies of Spotify generated recommendations.
Besides a mix of older Pixels and other phones, in the past few years I went OnePlus 8, Pixel 8 Pro, and currently OnePlus 13. I was completely underwhelmed by the 8 Pro. If felt like a marginal improvement over the OnePlus 8 for a premium price. The back cracked, water got in, and it stopped working. The OnePlus 13 feels like a significantly better phone in every way.
Current: Director of Engineering at Crowdbotics
Former: Director of Engineering, Ownlocal (YC W10); Founder, Spokefly; Freelancer
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