“Sociable” is the latest commentary on important social media developments and trends from industry expert Andrew Hutchinson of Social Media Today. U.S. TikTok creators can breathe a sigh of relief, ...

WASHINGTON, DC - AUGUST 07: In this photo illustration, the TikTok app is displayed on an Apple iPhone on August 7, 2020 in Washington, DC. This story was originally published on Social Media Today.

Buterin proposes ZK proofs to verify social media algorithms without revealing code or user data. The framework shifts focus from moderation to provable algorithm behavior and on-chain timestamps. ZK ...

Joshua grew up in poverty, deep in the Middle of Nowhere, Alabama. Gaming was a rarely afforded escape from reality that persisted throughout his life, something that saw him through good times and ...

Lawmakers who passed the bill that should have banned TikTok by now are staying quiet about how it’s played out. Lawmakers who passed the bill that should have banned TikTok by now are staying quiet ...

SAVING TIKTOK FROM GOING DARK: Today, President Donald J. Trump signed an Executive Order saving TikTok from a ban while protecting America’s national security. ENSURING AMERICANS BENEFIT: President ...

Trump approved a deal handing control of TikTok’s U.S. algorithm to Oracle. Oracle will rebuild, retrain, and monitor the algorithm without ByteDance involvement. The new U.S.-based TikTok venture ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Imagine a tool that not only processes your data but also crafts polished presentations, generates detailed reports, and visualizes trends, all without switching between multiple apps. Sounds like a ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...

Abstract: Estimating an unknown deterministic parameter vector with a linear estimator in a noisy linear model is well-known in statistics. This paper studies the open problem in [1], i.e., developing ...