Someone interested in many things.
Like I said, I’m aware of extant measures to try and steer models, but people often assume a level of craftsmanship in censoring models that simply does not exist. Jailbreakchat.com is an endless stream of examples of this very fect; it’s very hard, especially with the limited context lengths of current models, to effectively give them any hard directives.
And back to foundational models, which are essentially free of censorship, they will still exhibit a similar level of political bias unless prompted otherwise. All this to say that, discounting OpenAI’s attempts to control their models, the model itself will inherently learn from and mirror the real-world biases of the text it was trained on. Those biases happen to fall along lines that often ignore subtlety in debates regarding illegality and morality.
It’s hard to say what LLMs are “programmed” to do, as they’re largely untamed beasts of text prediction. In fact, I would suspect its built-in biases are less the result of pre-prompting or post-foundational-model training and really just what a lot of people tend to think online. In a way, it’s more like people in general often equate illegality with immorality.
You can see similar biases in many of the open-source LLMs that are floating around. Even though they’re basically built outside of large corporate cultures and large-scale monetary incentive, they still retain a lot of political bias that tends to favor governmental measures heavily.
Oh, and for completeness:
We’ve deleted the vast majority of the spam bots that spammed our instance, are currently on closed registration with applications, and have had no anomalous activity since.
Our server is essentially always at 50% memory (1GB/2GB), 10% CPU (2 vCPUs), and 30% disk (15-20GB/60GB) until a spike. Disk utilization does not change during a spike.
Our instance is relatively quiet, and we probably have no more than ten truly active users at this point. We have a potential uptick in membership, but this is still relatively slow and negligible.
This issue has happened before, but I assumed it was fixed when I changed the PostgreSQL configuration to utilize less RAM. This is still the longest lead-up time before the spikes started.
When the spike resolves itself, the instance works as expected. The issues with service interruptions seems to stem from a drastic increase in resource utilization, which could be caused by some software component that I’m not aware of. I used the Ansible install for Lemmy, and have only modified certain configuration files as required. For the most part, I’ve only added a higher max_client_body_size in the nginx configs for larger images, and have added settings for an SMTP relay to the main config.hjson file. The spikes occured before these changes, which leads me to believe that they are caused by something I have not yet explored.
These issues occured on both 0.17.4 and 0.18.0, which seems to indicate it’s not a new issue stemming from a recent source code change.
The Ansible install does make things a lot more simple, but it’s still pretty involved if you’re new to self-hosting in general. For example, you might need to set up an SMTP relay if you can’t port forward a workable port, and you also will probably want to change your Nginx configs to allow uploading larger images than a single megabyte.
Perhaps I’m mistaken, but is value inherently necessary to perpetuate PoW or verification steps in a Blockchain? In other words, do you need to create value for it to work? I didn’t think that was a necessary first step, but I suppose it could be if it’s all driven by miners or some other random PoW mechanism with a monetary incentive.
Not too pedantic at all; those are indeed two distinct ways of creating similar applications. In my opinion, federated alternatives are more appealing than those based on blockchain technologies. Federated networks are proving to provide a more palatable experience through hybrid decentralized centralization.
I was saying that: A) ChatGPT is already fluent in good-enough pirate speak, and B) It would be possible to have ChatGPT convert modern English speech into said good-enough pirate speak using a userscript. Even if it didn’t affect their data collection or AI models trained on the text, it would still be distracting and annoying for users, which might push some people away from Reddit.
Patching a newer version of the Youtube app resolved the issues with playback I was having.