OpenAI’s experimental ‘Swarm’ framework

Apple researchers, including Samy Bengio and led by Mehrdad Farajtabar, have developed GSM-Symbolic and GSM-NoOp to evaluate the reasoning capabilities of huge language models (LLMs) like OpenAI’s GPT-4o and o1. Constructing on the GSM8K dataset, these tools introduce symbolic templates and irrelevant information to more rigorously test models.

The study found that while models perform well on standard benchmarks, their reasoning weakens when confronted with slight variations, resembling irrelevant details. Even leading models, including OpenAI’s, appear to depend on pattern recognition moderately than true logical reasoning.

The researchers argue that scaling models won’t resolve this issue and call for further research into real reasoning, difficult OpenAI’s claims regarding models like o1. Read more.

OpenAI has rolled out “Swarm,” an experimental framework designed to orchestrate networks of AI agents on Github, igniting a buzz within the AI community. Though not an official product, Swarm lays out a blueprint for developers to construct networks of AI agents that collaborate autonomously, turning multi-agent systems from theory into something more accessible.

While Swarm is not headed for production anytime soon, its potential business use cases—think automated market evaluation or customer support—are hard to disregard. But alongside the joy come concerns. Security experts warn that unleashing autonomous agents without robust safeguards might be dangerous, while ethicists worry about bias creeping in unnoticed. After which there’s the looming query of job displacement—automation’s favorite elephant within the room.

Still, Swarm offers a forward-looking tackle AI collaboration, pushing developers and enterprises to think ahead, even when it isn’t quite ready yet. Read more.

eMarketer projects that Google’s share of the U.S. search promoting market could dip below 50% for the primary time in over ten years, driven by rising competition from AI platforms. Tools like ChatGPT and Perplexity AI are influencing user behavior, especially amongst younger generations, who’re increasingly avoiding the term “Google” as a verb.

Perplexity AI reported 340 million queries in September and is attracting distinguished advertisers, difficult Google’s established market position. In response, Google introduced its Gemini large language model and various generative AI features to enhance search results. Because the competition intensifies, the internet marketing terrain appears poised for a major evolution, with traditional giants like Google facing recent, nimble contenders redefining user engagement. Read more.

Silicon Valley finds itself at a crossroads, debating the implications of autonomous weapons. Shield AI co-founder Brandon Tseng confidently asserts that Congress won’t ever permit AI to make your mind up who lives or dies.

Yet, mere days later, Anduril co-founder Palmer Luckey tossed a wrench into this certainty, expressing a willingness to entertain the thought of weaponry with a mind of its own, albeit with a nuanced critique of traditional ethics. He questioned the moral superiority of a landmine that indiscriminately targets civilians over a more discerning robot.

The U.S. military stays noncommittal, allowing the event of autonomous systems while sidestepping any outright ban. With Ukraine pushing for automation to outmaneuver Russia, the urgency mounts for policymakers to make clear the murky waters of lethal AI, especially as defense firms eagerly lobby Congress for influence over the agenda. Read more.