Arr. 🦜

Another sad story

https://de-m-wikipedia-org.translate.goog/wiki/Tusko?_x_tr_sl=auto&_x_tr_tl=de&_x_tr_hl=de&_x_tr_pto=wapp

The researchers summarized the result of the experiment with the sentence: “It seems that elephants are highly sensitive to the effects of LSD.” [ 5 ]

Ihm wird viel Aufmerksamkeit zuteil. Das ist ein Talent, dass er die Medien spielen kann, wie 'ne Kinderflöte. Das braucht er auch, er kann nicht ohne. (die alternative Erklärung, dass er von etwas ablenken möchte, seh ich gerade nicht.)

Und dann zeigt er noch regelmäßig, warum zu viel Geld und Macht in den Händen eines Einzelnen eine schlechte Idee sind. Mit vielem was er so tut. Wie er dabei mit seinen Armen rudert, ist noch eins der kleineren Probleme.

Gnampf.

They have a reflective layer in their eyes like cats? Makes sense.

If you haven’t ever heard the hauntingly adorable song of an Eastern Screech Owl, treat your ears to some recordings at the link below! (The aforementioned link!)

I expected more screeching. Let’s call them maybe… ocarina owls from now on, shall we?

Gandalf don’t care. Gandalf wants cracker.

Nakhodka Bay was discovered in 1858 by the Russian corvette Amerika (“America”), which sought shelter in the bay during a storm.[1][2] The old name Gulf of America was officially changed into Gulf of Nakhodka at the peak of the Cold War in the late 1970s

Any displayport source can (per DP standard) deliver HDMI, you just need a dp->hdmi adapter or cable. An explanatory article from 2008 translated via google.

The other way around is harder to achieve but works, too (needs an active adapter to convert the signal).

Accountability of a human decision maker is the way to go. Agreed.

I see the danger when the accountant’s job asks for high throughput which enforces fast decision making and the tool (llm) offers fast and easy decisions. What is the accountant going to do, if (s)he just sees cases instead of people and fates?

Needs more scrolling wall of text for my liking. ;)

They replaced the training data with an evaluator. (which rates the LLMs output for training?) Interesting, thanks.

Edit: this reminds me of the self evolving (virtual) robot problem, a robot which is rated by an external moderator and improves over time. I.e.: https://www.sciencedirect.com/science/article/pii/S0925231221003982

An LLM cannot think like you and I. it’s not able to solve entirely new problems. And it doesn’t have a concept of the world - it paints hands without knowing what a hand does.

It is a system which learns the rules of something by means of reinforcement learning to tune the coefficients of its heap of linear equations. It is better than a human in its area. I guess it can be good for tedious, repetitive tasks. Nevertheless it is just a huge coefficient matrix.

But it can only reproduce what is in the training data - you need lots of already solved examples in the training data. It doesn’t work for entirely new problems.

(that’s also the reason, why LLMs don’t give good answers to questions about specialized niche topics. When there are just one or two studies, there just isn’t enough training data for the LLM.)

The right tool for the right job. It’s not intelligent, it is just trained. It all boils down to stochastic.

And then there is the ecological aspect…
Or sometimes the moral aspect, if it is used to manage someone’s “fate” in application processing. And it might be trained to be racist or misogynist if you use the wrong training data.

Yes.

It should be: https://events.ccc.de/congress/2024/infos/startpage.html

The streaming page is fine though. ( https://media.ccc.de/c/38c3 )

Thanks. That makes sense to me.

Ah. They are profitable through premium accounts? Impressive.

The app is free. What do they sell?

Monetization. Tumbleweed content-wise. Some content producers make content for money.

Media reach: Content is stored, where the consumers look for it.

My first HDD had a capacity of 42MB. Still a short way to go until factor 10⁶.