The duality of humanity right here. I hated academics and I'm way happier facing clients. Because even if they're being unreasonable, they're still paying me more than a living wage which is more than I could say about my advisor
Can't say I've heard anything since launch, so take my advice with a grain of salt.
Grim Dawn Item Assistant is your best friend. While you're at it, Rainbow Item Names (or whatever it's called).
Well if you liked PoE I doubt you'll like D4. It's a much simpler game. Sadly my only advice is to try GD and Last Epoch again. I've got hundreds of hours in the former and I just got 10 hours into the latter.
Last Epoch feels like a more approachable PoE. I thoroughly enjoy how the skills interplay with one another, but I still prefer the itemization in Grim Dawn.
The only reason I'm not playing GD currently is because I have too many QoL mods installed so my cloud saving doesn't work, but I can cloud save for Last Epoch for my steam deck lmao.
I'm not sure I agree here - I think the resin printer might not be a good entry point, but I'm curious to hear what others think. I've heard resin printers require special ventilation and the photo-resin is carcinogenic. Once dialed in, an FDM can do pretty great for detailed parts. Especially with a smaller nozzle. So I'm not convinced jumping straight into a resin printer is wise.
I used my Ender 3 for a few years making miniatures, and they came out pretty great. Of course, then I tried switching to a larger nozzle and I still haven't managed to get it running... but that's my fault.
The software is a little finicky and likes to show you whatever profile is active when you switch to it. So if you don't like a key bind for Cov 6 and you tab over to the software, it switches back to your default profile.
And, if the game isn't officially supported, you'll have to manually locate the files. Usually not an issue but it was a pain for Minecraft.
Pretty minor grievances though, the software works 99% of the time.
Logitech G502 has been going strong for 3 years, and I love it so much. The software is easy enough, and I can't live without profile switching. I have two I use for daily driving - one with Ctrl, Page up, Page down, Forward, and Back on browser - and profile 2 has Win+Tab, Alt+Tab, and Navigate through Alt+Tab bound. Biggest downside is updating game profiles is a bit of a pain.
They raised my rent 20% over two years and priced me out of two apartments. Glad to see progress.
It's been in development for a while: https://ieeexplore.ieee.org/abstract/document/1396377?casa_token=-gOCNaYaKZIAAAAA:Z0pSQkyDBjv6ITghDSt5YnbvrkA88fAfQV_ISknUF_5XURVI5N995YNaTVLUtacS7cTsOs7o
Even before the above paper, I recall efforts to connect (rat) brains to computers in the late 90s/early 2000s. https://link.springer.com/article/10.1023/A:1012407611130
It's a bunch of neurons that speak to a computer with a microelectrode array. So they "speak to" the neurons with electric impulses, and then "listen to" what they have to say. The computer it's connected to uses binary, but the neurons are somewhere in between. Yes, the change in electrical potential is analog, but neurons are typically in their "on" state, recovering from their "on" state, or just chilling out.
The brain is incredible because of the network of connections between neurons that store information. It'll be interesting to see if a small scale system like this can be used for anything larger scale.
Believe it or not, I studied this in school. There's some niche applications for alternative computers like this. My favorite is the way you can use DNA to solve the traveling salesman problem (https://en.wikipedia.org/wiki/DNA_computing?wprov=sfla1)
There have been other "bioprocessors" before this one, some of which have used neurons for simple image detection, e.g https://ieeexplore.ieee.org/abstract/document/1396377?casa_token=-gOCNaYaKZIAAAAA:Z0pSQkyDBjv6ITghDSt5YnbvrkA88fAfQV_ISknUF_5XURVI5N995YNaTVLUtacS7cTsOs7o. But this seems to be the first commercial application. Yes, it'll use less energy, but the applications will probably be equally as niche. Artificial neural networks can do most of the important parts (like "learn" and "rememeber") and are less finicky to work with.
My job is 8:30 - 5 with a 30 minute lunch break. So almost.
But, we also get 2 days/week at home, and can flex time as required. Tons of international work, so the flexible hours are a godsend when time zones are against us.
It's a salaried position and depending on your supervisor and stage of your career, you're expected to work 40-45 hours a week. Deadlines and ugly projects tend to increase hours work. I'm very lucky, as my industry can be pretty brutal with sudden ends to projects and unexpected layoffs.
Ooh, I know this one. It comes from old English, meaning "small thing"
Thanks for the recommendation, I was worried they would be missing some of my artists but they had 99% of my music. Can't wait to ditch Spotify.
ETA: dear lord the sound quality is so much better. I had no idea what I was missing.
18 / 25, which means I'm above random chance... barely. That's what I get for posting before my coffee.
You've got to share the results at the end, I'm dying to know!
We've got some really good theories, though. Neurons make new connections and prune them over time. We know about two types of ion channels within the synapse - AMPA and NMDA. AMPA channels open within the post-synapse neuron when glutamate is released by the pre-synapse neuron. And the AMPA receptor allows sodium ions into the dell, causing it to activate.
If the post-synapse cell fires for a long enough time, i.e. recieves strong enough input from another cells/enough AMPA receptors open, the NMDA receptor opens and calcium enters the cell. Typically an ion of magnesium keeps it closed. Once opened, it triggers a series of cellular mechanisms that cause the connection between the neurons to get stronger.
This is how Donald Hebb's theory of learning works. https://en.wikipedia.org/wiki/Hebbian_theory?wprov=sfla1
Cells that fire together, wire together.
Actually, neuron-based machine learning models can handle this. The connections between the fake neurons can be modeled as a "strength", or the probability that activating neuron A leads to activation of neuron B. Advanced learning models just change the strength of these connections. If the probability is zero, that's a "lost" connection.
Those models don't have physical connections between neurons, but mathematical/programmed connections. Those are easy to change.