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Nebraska und der BlenderBot: Diese Kritik hat Facebook nicht verdient | TikToks Müllabfuhr | Pivot bei Clubhouse | Mehr Privatsphäre bei WhatsApp

Nebraska und der BlenderBot: Diese Kritik hat Facebook nicht verdient | TikToks Müllabfuhr | Pivot bei Clubhouse | Mehr Privatsphäre bei WhatsApp

Nebraska und der BlenderBot: Diese Kritik hat Facebook nicht verdient

Was ist

Über Facebook ergießen sich mal wieder Hohn, Häme und heftige Vorwürfe. Dafür gibt es zwei Anlässe:

In beiden Fällen scheint es nahezuliegen, Facebooks Mutterkonzern Meta verantwortlich zu machen. Wir sehen das etwas anders und erklären, warum Meta unserer Meinung nach ausnahmsweise zu Unrecht kritisiert wird.

Was in Nebraska geschah

Warum Facebook keine Wahl hatte

The warrants did not mention abortion at all. Court documents indicate that police were at that time investigating the alleged illegal burning and burial of a stillborn infant.

Was sich aus dem Fall lernen lässt

Warum der BlenderBot vergleichsweise harmlos ist

Today, we’re releasing a new AI research project called BlenderBot 3, a chatbot that can search the internet to talk about nearly any topic. (…) BlenderBot 3 is designed to improve its conversational skills and safety through feedback from people who chat with it, focusing on helpful feedback while avoiding learning from unhelpful or dangerous responses.

Since all conversational AI chatbots are known to sometimes mimic and generate unsafe, biased or offensive remarks, we’ve conducted large-scale studies, co-organized workshops and developed new techniques to create safeguards for BlenderBot 3. Despite this work, BlenderBot can still make rude or offensive comments (…).

But by and large, the bot seems to have performed reasonably well. In more than 70,000 conversations, so far there has been no Tay-style public meltdown, the company told me. Of some 260,000 messages exchanged with the bot, just 0.11 percent were flagged as inappropriate, and 1.36 percent were marked as "nonsensical."

I want to be leading a lab that can actually be held accountable by the wide community — researchers, but also the general public. And that can put all the cards on the table of where we are with these kinds of systems. It's challenging to do. You can imagine the challenge of doing that in a way to get the buy-in we need from all the teams across the company. But we got to the point that we felt that this was the right next step for our research.

So kam es, wie es kommen musste. Wenn eine Software in einem Land, das derart gespalten ist wie die USA, aus Konversationen und aus dem Internet lernt, lernt sie neben sinnvollen Dingen eben auch die extremen Meinungen und das dumme Geschwätz, das viele sich nicht entblöden in die Welt hinauszuposaunen.


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