Here are my slides from today's talk at Datafest Yerevan.
The talk was about non-transformer architectures, e.g., good old MLPs, CNNs, RNNs, and brand-new SSMs. It may be too dense with too many model names, but I think it may be useful as a reference for further exploration.
Here are my slides from today's talk at Datafest Yerevan.
The talk was about non-transformer architectures, e.g., good old MLPs, CNNs, RNNs, and brand-new SSMs. It may be too dense with too many model names, but I think it may be useful as a reference for further exploration.
Just days after Russia invaded Ukraine, Durov wrote that Telegram was "increasingly becoming a source of unverified information," and he worried about the app being used to "incite ethnic hatred." This ability to mix the public and the private, as well as the ability to use bots to engage with users has proved to be problematic. In early 2021, a database selling phone numbers pulled from Facebook was selling numbers for $20 per lookup. Similarly, security researchers found a network of deepfake bots on the platform that were generating images of people submitted by users to create non-consensual imagery, some of which involved children. Multiple pro-Kremlin media figures circulated the post's false claims, including prominent Russian journalist Vladimir Soloviev and the state-controlled Russian outlet RT, according to the DFR Lab's report. On Feb. 27, however, he admitted from his Russian-language account that "Telegram channels are increasingly becoming a source of unverified information related to Ukrainian events." Unlike Silicon Valley giants such as Facebook and Twitter, which run very public anti-disinformation programs, Brooking said: "Telegram is famously lax or absent in its content moderation policy."
from vn
