As AI systems have grown in sophistication, so has their capacity for deception, according to a new analysis from researchers at Massachusetts Institute of Technology (MIT). Dr Peter Park, an AI existential safety researcher at MIT and author of the research, tells Ian Sample about the different examples of deception he uncovered, and why they will be so difficult to tackle as long as AI remains a black box.

How to listen to podcasts: everything you need to know

Listen to the Guardian’s Black Box series all about humans and artificial intelligence.

AI chip that mimics the human brain year 2023.

Designing efficient in-memory-computing architectures remains a challenge. Here the authors develop a multi-level FeFET crossbar for multi-bit MAC operations encoded in activation time and accumulated current with experimental validation at 28nm achieving 96.6% accuracy and high performance of 885 TOPS/W.

Artificial general intelligence through an AI photonic chip face_with_colon_three

The pursuit of artificial general intelligence (AGI) continuously demands higher computing performance. Despite the superior processing speed and efficiency of integrated photonic circuits, their capacity and scalability are restricted by unavoidable errors, such that only simple tasks and shallow models are realized. To support modern AGIs, we designed Taichi—large-scale photonic chiplets based on an integrated diffractive-interference hybrid design and a general distributed computing architecture that has millions-of-neurons capability with 160–tera-operations per second per watt (TOPS/W) energy efficiency. Taichi experimentally achieved on-chip 1000-category–level classification (testing at 91.89% accuracy in the 1623-category Omniglot dataset) and high-fidelity artificial intelligence–generated content with up to two orders of magnitude of improvement in efficiency.

Jan Leike, co-leading Superalignment of GPT4o, posted on X, “I resigned,” just the day before the GPT4o launch.

OpenAI co-founder Ilya Sutskever and another executive leave the company as GPT-4o launches.

OpenAI Spring Update – streamed live on Monday, May 13, 2024. Introducing GPT-4o, updates to ChatGPT, and more.

Yet another OpenAI executive has been caught lacking on camera when asked if the company’s new Sora video generator was trained using YouTube videos.

During a recent talk at Bloomberg’s Tech Summit in San Francisco, OpenAI chief operating officer Brad Lightcap went off on a word vomit-style monologue in the wrong direction in an attempt to deflect from questions about Sora’s training data.

“Can you say, and clear up once and for all, whether Sora was trained on YouTube data?” Bloomberg’s Shirin Ghaffary asked the COO, prompting a wordy non-response.

Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ones, which could make these cameras viable for a multitude of imaging tasks including intricate microscopy applications and mobile devices.