Recent searches

No recent searches

Search options

Only available when logged in.
shakedown.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A community for live music fans with roots in the jam scene. Shakedown Social is run by a team of volunteers (led by @clifff and @sethadam1) and funded by donations.

Administered by:

Server stats:

271
active users

shakedown.social: AboutStatusProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.4.2

#llama

4 posts4 participants0 posts today
Matt Keil

It took a few hours for a noob like me, but I’m now running multiple self-hosted LLMs from my #Linux server including #DeepSeek, #Llama, and #Mistral.

Accessible remotely too.

I’m using Ngrok to access it remotely, but the free plan doesn’t have a fixed URL which is a pain. I’m open to better alternatives if anyone has any suggestions? #AI

Strange Quark

According to researchers at University of #Glasgow, #LLMs are not #hallucinating. The technical term is #bullshitting.

"Calling their mistakes ‘hallucinations’ lends itself to the confusion that the machines are in some way misperceiving but are nonetheless trying to convey something that they believe or have perceived. This is the wrong metaphor.... they are not trying to convey information at all. They are bullshitting."

link.springer.com/article/10.1

SpringerLinkChatGPT is bullshit - Ethics and Information TechnologyRecently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.
#LLM#ChatGPT#OpenAI
TrendingLive feeds
About