Anders Arpteg (@anders_arpteg) 's Twitter Profile
Anders Arpteg

@anders_arpteg

AI scientist and engineer with 20 years of academic and industrial experience, with hands-on knowledge of the latest AI techniques, and building great AI teams.

ID: 260159397

calendar_today03-03-2011 09:34:36

32 Tweet

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Hyperight (@hyperight_ab) 's Twitter Profile Photo

In this first episode of Artificial Intelligence After Work (AIAW Podcast), we had the pleasure to meet Louise Callenberg, Section Director, Digital Renewal and Collaboration, The Swedish Association of Local Authorities and Regions (SKR).👇🏻 lnkd.in/dx-qMHd

Anders Arpteg (@anders_arpteg) 's Twitter Profile Photo

Impressive research from DeepMind, which is also very interesting from a philosophical perspective. Demonstrates that rule-based symbolic systems are not needed for reasoning, and Transformer-based approaches can efficiently learn how to reason. arxiv.org/abs/2012.08508

Anders Arpteg (@anders_arpteg) 's Twitter Profile Photo

Highly recommend the AlphaSignal.ai weekly summary to keep up with the field of ML. They're using AI to identify the top publications and breakthroughs, it's a game-changer.

Anders Arpteg (@anders_arpteg) 's Twitter Profile Photo

Are you interested in receiving €3,000 additional cash? Join this AI challenge ASAP, and demonstrate your AI skills. Good luck, Anders

Anders Arpteg (@anders_arpteg) 's Twitter Profile Photo

Thank you, Benjamin Elder, for your great article about "Open Source Virtual Background." This is something that I have been missing for a long time, so I just had to repackage that to make it easy for everyone to use. See github.com/DrAA/hal9000-c…

Anders Arpteg (@anders_arpteg) 's Twitter Profile Photo

LEAF, a neural net that seems to make it possible to remove static Mel-spectrograms with an automatically trainable representation. Sounds awesome, we have a number of audio projects in Peltarion and I will certainly start experimenting with LEAF directly. ai.googleblog.com/2021/03/leaf-l…

Isaac Newton Institute (@newtoninstitute) 's Twitter Profile Photo

Check out this 2020 TED Talks video from Yann LeCun (New York University Facebook AI) in which he discusses "self-supervised machine learning" and how he's trying to build machines that "learn with common sense". Wave 🌊 of the future 🤖 stuff... ted.com/talks/yann_lec…

Anders Arpteg (@anders_arpteg) 's Twitter Profile Photo

Fascinating work that can control the opinion/messaging of text automatically generated from language models such as GPT-3 without ANY fine-tuning at all. Scary if abused to generate text with potentially subjective and propaganda messaging. arxiv.org/abs/2109.09707…

Anders Arpteg (@anders_arpteg) 's Twitter Profile Photo

The general trend of going multitask, multimodal and multilingual continues to progress. With the latest model from Facebook, a multilingual machine translation model OUTPERFORMS previous bilingual approaches for the first time. ai.facebook.com/blog/the-first…

Anders Arpteg (@anders_arpteg) 's Twitter Profile Photo

Interesting article talking about the paper "Spinning Language Models for Propaganda-As-A-Service" that describes how an "attacker" can train a model to generate propaganda text. Nice that they also talk about how to detect this type of attack. lnkd.in/gPnchNjF

Anders Arpteg (@anders_arpteg) 's Twitter Profile Photo

Awesome, I love simple and innovative ideas like the new data2vec model från Meta AI, with a very simple method that works across modalities such as images, text, and audio. Occam's razor in action! ai.facebook.com/blog/the-first…

Yann LeCun (@ylecun) 's Twitter Profile Photo

Repeat after me: 1. Current Auto-Regressive LLMs are *very* useful as writing aids (yes, even for medical reports). 2. They are not reliable as factual information sources. 3. Writing assistance is like driving assistance: your hands must remain on the keyboard/wheel at all times