From Nov 4, 2022 on, I will use this account only occasionally. Please follow me at @[email protected] on @joinmastodon for spontaneous discussions and sharing of information.
From yesterday, to close the 2nd ECAI day, nothing better than a new #MeetECAIers at the WCCC:
😂🗣️ “ So whenever you come into my office and you discover me playing a game, it's research “ - Jonathan Schaeffer
#ECAI#AI
Insightful session by @IrynaGurevych on tackling misinformation with NLP and multimodal AI! 📚🔍 From debunking fake science to analyzing manipulated visuals. #Misinformation#AI#NLP
#MPREF2024 has been held successfully. Our thanks go to
🖊️The PC for high quality reviews.
🚀 @ECAI2024 for providing us with the infrastructure.
⭐️ Jörg Rothe & Khaled Belahcene for their invited talks.
🗞️ The authors for their interesting submissions.
https://t.co/2THDK0Zopv
Today, I’m excited to share with you all the fruit of our effort at @OpenAI to create AI models capable of truly general reasoning: OpenAI's new o1 model series! (aka 🍓) Let me explain 🧵 1/
#MPREF2024 program is now online! Please join us on Oct 20 in Santiago de Compostela for an exciting event on computational methods for #PreferenceHandling.
#ECAI2024 workshop
⚠️ Early Registration Deadline of ECAI: August 19, 2024
https://t.co/2THDK0Zopv
@Anabelle8881986 Digital identity transformation! I was looking for a tweet by Pierre Schaus, but this tweer is lost for humanity. May be we can find it in some LLM’s training data …
Ich habe gerade hier unterschrieben: Der Klimaschutz in Europa muss weitergehen. Von der Leyen darf den Green Deal nicht aufgeben!
Hier kannst auch du unterschreiben und aktiv werden: https://t.co/hyY4vktdtA
@rao2z We should not ask to stop anthropomorphizing LLMs, but to start de-personifying LLMs!
Similar to this: “Don’t take your puppet for a real person, kid! It won’t replace your friends.”
What about: “Don’t take this chatbot for a real person, boss! It won’t replace your employees.”
@rao2z#Anthropomorphizing is a quite complicated word and it suggests that people spent effort to attribute human-like qualities to #LLMs. In reality, they are just lacking #CriticalThinking and imagination. When reading text, they automatically attribute it to a human personality. ⤵️
Why we should view LLMs as powerful Cognitive Orthotics rather than alternatives for human intelligence #SundayHarangue
LLMs are amazing giant external non-veridical memories that can serve as powerful cognitive orthotics for us, if rightly used (c.f. https://t.co/rvG2e5tlfa).
The trick, IMHO, is to exploit them without deluding ourselves in the process.
The delusion comes chiefly from our incessant need to confuse them for human intelligence, merrily applying anthropomorphic concepts such as thinking , thoughts, reasoning and self-critiquing to LLMs. (c.f. https://t.co/MPUdvj3AwC;
https://t.co/q93JRiE7XS;
https://t.co/vUXwazqwv9)
This anthropomorphization is quite futile--and, as shown in the case of some of the current Ersatz Natural Science AI literature--even counterproductive and misleading.
Sure we didn't quite foresee how impressive the approximate omniscience of these n-gram models on steroids would be, but that doesn't have to make us assume they do everything humans do.
Unless human-level #AI is your singular goal, you don't necessarily need to think auto-regressive LLMs suck (as @ylecun puts it colorfully).
LLMs can be very effective complementary cognitive orthotics without subsuming human intelligence.
LLMs do some things way way way better than humans do (the litmus test--from my perspective--being converting anything to iambic pentameter in seconds 😋https://t.co/OvFDYveC71), and do other things (planning, reasoning, self critiquing, mental modeling) much worse (c.f. ;
https://t.co/F7DX0DIRE6;
https://t.co/BRSU4AyGji; https://t.co/DS1PitXIdP)
If we can manage to tone down the "LLMs are Zero-shot <XXX>" studies rife with confirmation biases that conflate approximate retrieval for other capabilities associated with human intelligence (c.f. https://t.co/Sz35rUmr7j; https://t.co/XI5aQRxXYO), we can:
1. Focus on the right way of leveraging the strengths of LLMs. This can certainly be done in LLM-modulo architectures, with either humans or other specialized sound reasoners in the loop).
2. To the extent human-level intelligence is still your holy grail, keep open research avenues that don't just involve scaling up autoregressive architectures. (It is in this sense that I sympathize with @ylecun's AR-LLMs suck comment--they do, currently, suck the oxygen out of the research room 😅)
tldr; you can get much farther with LLMs & #AI if you think of them as cognitive orthotics and can stop anthropomorphizing them.. (c.f. https://t.co/BFlV0jUkIG;
https://t.co/8XgJZn6CLv)
Die #Energiewende zu beschleunigen, macht sie billiger.
Leute, das sagen nicht "grüne Spinner."
Das ist die .@IEA, die Internationale Energie-Agentur. Gegründet in der Ölkrise der 70er. Für Zahlen, Daten, Fakten über alle Energieträger weltweit.
Worauf warten?
#VoteForClimate
Morgen!
Diese Europawahl ist eine Richtungswahl.
Weiter mit #GreenDeal, #Klimaschutz, Nachhaltigkeit?
Oder Rollback, Umweltschutz abbauen und Zusammenarbeit mit Rechtspopulisten?
Jede Stimme zählt!
#VoteGreen
📢📢 Announcing the availability of our monograph on "Explainable Human-AI Interaction," co-authored with @sarath_ssreedh & @anaghapk (with the astral background presence of @tchakra2) on your neighborhood @arxiv..
Read, share, and build on it! 1/
👉https://t.co/lEn82AwpfL