cyptus

including every single financial service for sure

Prove P=NP, providing an easy solution for finding private keys in TLS, breaking the internet over night?

at this point: gg

I think the tooling around the models themself has improved _a lot_ - they are really good at giving the models the correct context, even in big code bases

first time also! depending on iOS for me.

analog chips could also be very interessting instead of using digital signals and processing them against the weights in the ROM. I have no idea if that scales with such big models though.

which makes the output of designers more cheep. which leads to an higher demand in sense of quantity and quality. which requires more designers.

some years ago i tried this setup for a german company with a special char in its name („ä“) and failed because Apple was not able to match it against DUNS. It took months of support to get it done.

some gates are only 10-14 nm wide, thats about 50 silicon atoms!

it would be an RCE on your own machine :D

ef core is great for simple queries and modification of your data while using the changetracker. You can use AsNoTracking/Projection to perform similar like dapper for queries. When using command query seperation you can also use dapper for queries and ef core for commands.

performance!

and where is the hash mapped back again?

haha :D

so true. instead of getting a fast feedback we are wasting time searching for our own issues first.

in many cases: no service health alerts, no status page updates and no confirmations from the support team in tickets. still we can confirm these issues from different customers accross europe. Mostly the issues are regional dependent.

AFD is down quite often regionally in Europe for our services. In 50%+ the cases they just don‘t report it anywhere, even if its for 2h+.

What if the converted version is not in the wanted syntax?

no, i was just kidding :D

thats why a liquid core is needed in the matrix

what is a unhealthy request? is searching for a user which was _not found_ by the server unhealthy? was the request successful? thats where different opinions exist.

haha very true!

The idea is to replicate the weights of the network in the electronics. Somehow like our brains work? This way an analog input signal could lead to a neural network processed output signal without the digital emulation on an gpu. As this is very much simplified, the question is if this could work for modern llms?

could such a network with all its nodes and weights be deployed to an analog circuit and be superfast?

_minimum_ bend?

I did! with their own new hardware (https://www.home-assistant.io/voice-pe/) sadly the microphones are way worse than e.g. in an alexa speaker. Also the performance of the „voice pipelines“ (stt, llm, tts) are a bit of a pain because they are all in sequence and not e.g. using stream features.

same. started writing data into parquet to analyze from there with a big gain in performance and hosting costs

isn’t a LLM itself basically a compression of the texts from the internet? you can download the model and decompress the (larger) content with compute power (lossy)

at a discussion about this issue i read a comment which i cant find right now but was very beautiful. It was saying that we should keep easter eggs like this, because in the end this is what differs us humans from machines.

KI means AI in German, I was already searching for some fancy GPT implementations