FlyingSaucer
Joined 5 years ago
Joined 5 years ago
Seems like many from this group now pursue open-endedness in AI and view evolution as a way towards this goal (or lack thereof).
A very interesting evolution (ha!) of these ideas was presented in POET[0] towards evolution of agents in evolving environments.
There is also an interesting paper about accelerating neural architecture search when generating fake training data in generative teacher networks[1].
Lastly, a paper that i find very very interesting but might not be as relevant but still is 'First return, then explore'[2]
[0] : https://eng.uber.com/poet-open-ended-deep-learning/
Wonder what would be also the effects of this on them and wildlife in general.When I have seen Koalas in the wild they seemed very apathetic- saw one stay at the very top of a blue-gum (which famously can shed huge pieces without much warning) even during a storm.
- No saving checkpoints (can be crucial for large models who need alot of compute and time)
- No way to assign different activation functions to different layers
- No complex nodes like LSTM, GRU - No way to implement complex architectures like transformers, encoders etc
I also do not know if its even possible to use CUDA or any GPU with it.
[1] : https://scikit-learn.org/stable/modules/generated/sklearn.ne...
Is the meaning of self improvement here means that the model will actively optimize itself towards improving on its mistakes outside of training? Because under my understanding for this to happen we would need the model to be in a different form than current ML.
Small teams are kept together at all times since very early in the training. Doing the same exercises many many times with the same exact people leads to mastery that makes them just seem faster and more fluid.
The lifestyle point is also true, its easier to keep your edge when there aren't constant mindless tasks to be done (gate duty) for many hours a day.
- I'm saying this from experience with armed forces, but can't claim its true for all elite units everywhere.
External and internal audits are known for weeks in advance such that they could put a facade on in time. During audits you suddenly don't have a limit on bathroom break time (generally an alert would come at 15mins per day) and there would be pizza at the office every other day. Only 'loyal' employees would be chosen to any interviews/meetings about culture etc.
For reference : https://deepmind.com/research
Also, they sometime use a bit odd translations. I saw a Belgian show and they translated smoking a cigarette into smoking a fag. Which I guess is technically correct (based on the cambridge dictionary), just an odd choice for general EU viewership
Honestly asking, not trying to nitpick.
I guess the geographical line is somewhere around Mauritania
In both platforms there is influencer-heavy marketing. Many fashion influencers(i really dislike this term, but it is the nomenclature) sell clothes that they wore very little in Instagram advertisements. This is a great business model for them, people follow them more tightly because they are actually able to buy for (mostly) affordable prices some of the clothes they see in pictures and they also get some additional under-the-radar cash.
[1] : https://www.vinted.com/
I also personally feel like its incorrect based on my own experience, but the OII for now says that there is 'little evidence', although 'drawing firm conclusions about changes in their associations with mental health may be premature'
[1]-https://journals.sagepub.com/doi/10.1177/2167702621994549
It's hard to just do it to test the waters when you have a technical project and multiple interviewing rounds (which also include live coding, which for me is very stressful).