Emile van Krieken

@[email protected]
251 Followers
236 Following
84 Posts

Postdoc at University of Edinburgh.
Working on Neurosymbolic AI.

Broad interests: Probabilistic Programming, Optimization, Gradient Estimation, Generative modeling, Differentiable Logics & Algorithms, Program Synthesis & Induction, Graph ML, AI for Science

Websitehttps://emilevankrieken.com/
Scholarhttps://scholar.google.com/citations?user=il8Y0B4AAAAJ&hl=en
Blueskyhttps://bsky.app/profile/emilevankrieken.com
Show threadEmile van KriekenDec 31, 2024
@pbloem Strong disagree, haha. Not sure if you've played those games, but the harder puzzles in them are _far_ more complicated and lateral than the most challenging puzzles LLMs can currently solve. They require clever motion, abstract computer vision, natural language reasoning, in addition to symbolic reasoning. Very different from solving ARC :p
Show threadEmile van KriekenDec 31, 2024
@pbloem Definitely a lot of push on that. But the jump between being able to roughly simulate the dynamics of the world and doing zero-shot abstract puzzle solving is quite big
Show threadEmile van KriekenDec 30, 2024

@pbloem Disagreed on 4 especially, having recently played some cognitively more involved video games, I realised there's no way current day AI can reasonably beat those anytime soon. (Think: Outer Wilds, Tunic, Animal Well).

10 is definitely already possible, if with frequent or many errors

Emile van KriekenFeb 18, 2023
Dr Vaishak BelleFeb 17, 2023
I published “Five areas that are exciting in neuro-symbolic AI” on @Medium https://medium.com/@vaishakbelle/five-areas-that-are-exciting-in-neuro-symbolic-ai-1043ce2f35af?source=ifttt--------------3
Five areas that are exciting in neuro-symbolic AI - Vaishak Belle - Medium

Neuro-symbolic (NeSy) AI has received a lot of attention, righty so, because of its capability to integrate reasoning and neural learning. If you are interested, check out this blog’s archives for…

Medium
Emile van KriekenJan 21, 2023
Pierre MonninJan 20, 2023
Thrilled to announce our new preprint "Sem@K: Is my knowledge graph embedding model semantic-aware?" on arXiv: https://arxiv.org/pdf/2301.05601.pdf
w/ Nicolas Hubert, Armelle Brun, Davy Monticolo
#knowledgeGraph #neuroSymbolicAI #artificialIntelligence #machineLearning #linkPrediction
Emile van KriekenJan 19, 2023
Elio CampitelliJan 17, 2023

Well, fuck. The GPT disinformation age is now.

I googled "OS for 4gb ram" and the first hit, which also was used by google to populate its snippet is an answer from quora which is very obviously created with #chatgpt (I recognised the non-committal non-answer right away, but it can also be detected by a popular GPT detector).

The user has 98 answers and, you've guessed it, they are all created with GPT.
PLOT TWIST: The questions where also created with GPT!

https://www.quora.com/profile/Heri-Mulyo-Cahyo

#AI

Heri Mulyo Cahyo

Following 444 people. Asked 455 questions. Wrote 98 answers.

Quora
Emile van KriekenJan 19, 2023
Mark RiedlJan 19, 2023

This is quite the exposé!

I knew that OpenAI has been using crowd workers for at least the last two years to build instruct-tuning datasets for #ChatGPT. I didn’t know they were also outsourcing violence, hate speech, and sexual abuse labeling to Kenyans for $2/hour.

The work is apparently so traumatic that the outsourcing company, Sama, has cut ties with OpenAI.

https://time.com/6247678/openai-chatgpt-kenya-workers/

Exclusive: OpenAI Used Kenyan Workers on Less Than $2 Per Hour to Make ChatGPT Less Toxic

A TIME investigation reveals the poor conditions faced by the workers who made ChatGPT possible

Time
Emile van KriekenJan 17, 2023
Damien RiehlJan 17, 2023

I frequently note the (sometimes competing) methods of #AI (e.g., #NLP):

(1) SYMBOLIST AI (e.g., "Code all the things"). Examples: #SALI, #KnowledgeGraphs

(2) CONNECTIONIST AI (e.g., "Feed all the things into the #ML model, let the machine figure it out.") Examples: #BERT, #ChatGPT

This is a good Stephen Wolfram piece on the benefits of combining Symbolist + Connectionist applications (e.g., Wolfram|Alpha + ChatGPT). 1+1=3.

https://writings.stephenwolfram.com/2023/01/wolframalpha-as-the-way-to-bring-computational-knowledge-superpowers-to-chatgpt/

Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT

Accessing Wolfram|Alpha's computational knowledge with ChatGPT--an ideal combination of precise computation with human-like expression of ideas. Stephen Wolfram explains how.

Emile van KriekenJan 16, 2023
NeSy-GeMs workshop @ICLR2023Jan 16, 2023
We are excited to announce our fantastic lineup of speakers for the NeSy-GeMs Workshop @ ICLR 2023:
💎 Daniel Tarlow - Google Brain / Mila Quebec
💎 @guy - UCLA / Relational AI
💎 @jefan - UC San Diego
💎 @mniepert - University of Stuttgart
💎 Tuan Anh Le - Google Research
More info: https://nesygems.github.io/speakers/
Invited Speakers

We are organizing a very exciting workshop on the intersection of Neurosymbolic and Generative Modeling. The workshop is hybird, and is scheduled to take place jointly with ICLR 2023 in Kigali, Rwanda, either the 4th or 5th of May.

NeSy-GeMs workshop @ ICLR 2023
Emile van KriekenJan 10, 2023
Erman AcarJan 9, 2023

Are you interested in doing a PhD in neuro-symbolic AI, and doing science for developing new explainable AI technologies for making financial services more fair, transparent and capable?

We have a PhD position available. The selected candidate will be part of a strong team at #illc_amsterdam #UvA_Amsterdam and the upcoming #ai4fintech hub in Amsterdam.

Deadline: Feb 15. See the link below for more information. #xai #causality #logic #fintech #AI4SocialGood

https://vacatures.uva.nl/UvA/job/PhD-Position-in-Explainable-AI-in-Finance/761750702/

PhD Position in Explainable AI in Finance

PhD Position in Explainable AI in Finance