Tootfinder

RE: #LLMs to access the

Just wrote yet another piece on LLMs that has been kicking around in my head for a while: "What kinds of conversations can you have with a parrot?"
#AI #LLMs

I guess it is kind of nice that #LLMs are just as prone to getting confused by ambiguous wording in architecture specs as I am. I'm looking at you FEAT_FPRCVT.....

Can someone explain to me how the argument “ #LLMs only produce stochastically reasonable output ” is relevant or convincing?
Like… how do you think a human brain forms a sentence? Is this a straight-forward deterministic process? Does it matter?
I use tools and processes to verify my output and so does a coding agent.
I just don't get how this is an argument that would…

#LLMs als Chance für die #Linguistik
https://doi.org/10.37307/j.1868-775X.2026.02.08
(Open Access)
Meine Kollegen am @… und der Erstgutachter meiner Diss Lars Konieczny (U Freiburg) haben einen – wie ich finde – feinen Beitrag in der Zeitschrift 'Deutsche Sprache' veröffentlicht.

In my latest article for Inquirer.net, I look at the possible role that #AI and #LLMs might have in the literary world. Should AI be only limited to spellchecking and copyediting? Or could they be used to write entire paragraphs?

The burden of human authorship in the age of ChatGPT
Contest poster courtesy of the F. Sionil Jose Young Writers Award MANILA, Philippines - Exploring authorship in the age of AI and ChatGPT. The F. Sionil Jose Young Writers Award, first

Ich glaube die #LLMs halluzinieren garnicht selber. Das ist alles #Merz.
Schluss mit den #Nebenverdiensten!

People often assume that LLM output is some kind of neutral "average" of "all knowledge" (or at least, most of the internet), and that perhaps it picks up and amplifies biases already present in the training data, but these are merely innate human biases to begin with. Already, that shouldn't be comforting, given how biased LLM resume-scanning systems are against female-sounding names, for example, but let's put that aside. We can actually see that LLMs also have intentionally engineered biases added to them in custom training steps:
You know all the LLM syncophancy? The way it agrees with whatever the user says, even if that contradicts itself, or something else the user said earlier? Where did that come from? How often in the internet pre-LLMs did you see someone disagree, only for the other person to immediately apologize and back down? Is that the average behavior on Reddit? On other internet forums? Even in private chat messages or on IRC?
In fact, the internet is legendary for the exact opposite behavior? Where did the collective reply-guy tendency of the training data go? It must have been painstakingly trained out of the model by OpenAI. There's a few viable approaches to this, but likely, it involved optimizing for continued conversation and/or some kind of "pleasantness" score, and that kind of optimization always has side effects. More to the point, if we know the big models are doing this kind of intentional tuning, there probably tuning for other stuff too, and in general, the output of the models is much closer to "things OpenAI wants it to say" than "things the internet would naturally have said" than we might suspect.
#AI #LLMs

Thinking about some things that @… said in another thread, and as someone who advocates against AI hype and against the use of most generative AI in most circumstances, I feel it's important to say: many of the ethical issues with using generative AI mirror almost directly the ethical issues with living/working on land stolen by colonists, except that they're less harmful.
Arguments like "well we don't really know whose work it's ripping off this time" and "artists that post their art online know it's going to be looked at; this is the same thing" and "well it's inevitable and everyone's doing it so it's unreasonable to make a big deal about it" directly echo arguments like "well now we don't know whose land it was any more exactly" (yes, we do; you can literally go look up the website of their descendants), or "the natives weren't really using the land anyways", or "it's all in the past now, and it's unavoidable." That unavoidable one is actually somewhat true of using stolen land, at least compared to LLM usage.
If you can see through those lies in the case of AI hype but choose not to do so in the case of colonialism, that says something about your priorities and allegiances.
This is not at all a call for people to talk less about AI; rather it's a call for those who take opposing AI hype seriously to look around and make some noise about other injustices too (I realize many of you already do this).
#AI #LLMs #LandBack #GenAI

Openrouter is a commercial provider that gives you access to all models available. For that reason they can give a good overview what models people actually use and for what. Open Weights and chinese models are increasingly important in the business domain. See their interesting rankings page.
#AI #OpenRouter #Rankings #models #LLMs

The Segway is here to stay, you know! Once someone invents something, the cat's out of the bag! Oh you don't use a Segway? Watch out, or this amazing new technology will leave you (slightly) behind! You'd better invest now you know! This technology is poised to revolutionize personal transportation! If you don't get in early, you'll never catch up and make the big bucks (unless you can manage a brisk jog or have a car or something). I don't know what they're teaching in PE these days, but they definitely need to start teaching how to ride a Segway! It's completely intuitive, you see! Should athletes be allowed to ride Segways around the track instead of running laps? Of course! After all, sports are already starting to shift to Segway leagues. These things *are* the future! They're totally safe,* even around cliffs!
*Remember to always wear your helmet when riding, and be prepared to land on your feet like a cat if user error results in an unexpected temporary levitation event. Segway, inc. is not liable for damages caused by failure to deploy superhuman reflexes at a moment's notice.
This post contains some hyperbole, but not a much as you might think. For the curious: #AI #LLMs #GenAI

Mid- (ongoing) -pandemic "back to the office" mandates and "use AI" mandates are two sides of the same coin that illustrate just how much "technology" happens at the whims of the CEO class, and any description of generative AI as an "inevitable" or "here to stay" technology that doesn't account for that is propaganda.
#AI #GenAI #LLMs

This afternoon a couple of my CI/CD pipelines broke because a user deleted all their their public repositories from #Github .
I suppose many people are starting to be fed up with all what's going on with big companies stealing our code to train their #LLMs, or maybe it's something else... who knows. It's not like we have a single reason to be discontent with Github / Microsoft.
Anyway... I started reviewing all my projects to ensure that I mirror all my critical dependencies so I don't suffer the same problem again.
#CICD #AI #GenerativeAI #SupplyChain

Apparently somebody posted a #counterexample to the Jacobian conjecture on X last night (found by an LLM). I won’t link that junk site, but somebody added it to Wikipedia already if you care:
#math #LLMs #ai