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Tag: agi

Lessons Learned on Language Model Safety and Misuse

The deployment of powerful AI systems has enriched our understanding of safety and misuse far more than would have been possible through research alone. Notably:

  • API-based language model misuse often comes in different forms than we feared most.
  • We have identified limitations in existing language model evaluations that we are

Dota 2: Patch 7.31 – Which Are the Most Successful Heroes in the Patch So Far?

We take a look at some of the top performing heroes since patch 7.31 dropped. The newest Dota 2 patch…

The post Dota 2: Patch 7.31 – Which Are the Most Successful Heroes in the Patch So Far? appeared first on Esports News Network | ESTNN.

Jaron Lanier: Digital Fact, Social Media & the Foreseeable future of Human beings and AI | Lex Fridman Podcast #218

Jaron Lanier is a computer system scientist, composer, artist, writer, and founder of the discipline of digital truth. Make sure you help this podcast by checking out our sponsors: … source

OpenAI Residency

OpenAI Members of Technical Staff who joined full-time through the Fellows and Scholars programs. Top row (L–R): Nik Tezak, Christina Kim, Reiichiro Nakano. Bottom row: Cathy Yeh, Karl Cobbe, Tyna Eloundou.

As part of our effort to support and develop AI talent, we're excited to announce

Real-world challenges for AGI

Koray Kavukcuoglu, VP of Research, discusses why addressing real-world challenges now helps advance the development of true AGI.

Necrosis Cheatsheet

Necrosis Monster Hunting in Lords Mobile

The Necrosis (not to be confused with the Noceros) is the newest monster IGG has introduced to Lords Mobile, and it has proven to be one of the most controversial monsters in recent history. While defeating the monster is mainly irrelevant, since tactics from similar monsters still apply, the big...

The post Necrosis Cheatsheet appeared first on Marks Angry Review.

Revisiting Copyright law and Artificial Intelligence – Part 2

In the part one of this article we discussed about the general understanding of AI divided as ANI and AGI, ANI’s adoption and influence in the copyright law, and complexities arising out of the adoption of ANI while generating copyrightable works. Further, let us understand the intricacies involved in the examination of ANI. What could happen if ANI generated works are granted copyright protection, and other complexities that could arise if ANI is left unsupervised.

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