A group appears to have leaked access to Sora, OpenAI’s video generator, in protest of what it’s calling duplicity and “art washing” on OpenAI’s part.
On Tuesday, the group published a project on the AI dev platform Hugging Face seemingly connected to OpenAI’s Sora API, which isn’t yet publicly available. Using their authentication tokens — presumably from an early access system — the group created a front end that lets users generate videos with Sora. — Read More
Monthly Archives: November 2024
OLMo 2: The best fully open language model to date
Since the release of the first OLMo in February 2024, we’ve seen rapid growth in the open language model ecosystem, and a narrowing of the performance gap between open and proprietary models. OLMo-0424 saw a notable boost in downstream performance relative to our first release in February. We were also excited by increasing participation in fully open model development, notably including LLM360’s Amber, M-A-P’s Neo models, and DCLM’s baseline models. In September, we released OLMoE, a mixture-of-experts model and the first among its fully open peers to be on the Pareto frontier of performance and size.
Because fully open science requires more than just open weights, we are excited to share a new round of OLMo updates–including weights, data, code, recipes, intermediate checkpoints, and instruction–tuned models—with the broader language modeling community. — Read More
Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning
New AI grandma tool helps fend off phone scams
2024: The State of Generative AI in the Enterprise
The enterprise AI landscape is being rewritten in real time. As pilots give way to production, we surveyed 600 U.S. enterprise IT decision-makers to reveal the emerging winners and losers.
2024 marks the year that generative AI became a mission-critical imperative for the enterprise. The numbers tell a dramatic story: AI spending1 surged to $13.8 billion this year, more than 6x the $2.3 billion spent in 2023—a clear signal that enterprises are shifting from experimentation to execution, embedding AI at the core of their business strategies.
This spike in spending reflects a wave of organizational optimism; 72% of decision-makers anticipate broader adoption of generative AI tools in the near future. This confidence isn’t just speculative—generative AI tools are already deeply embedded in the daily work of professionals, from programmers to healthcare providers.
Despite this positive outlook and increasing investment, many decision-makers are still figuring out what will and won’t work for their businesses. — Read More
AI Scaling Hits Wall, Rumours Say. How Serious is it?
DeepSeek-R1: A Chinese lab has released a ‘reasoning’ AI model to rival OpenAI’s o1
A Chinese lab has unveiled what appears to be one of the first “reasoning” AI models to rival OpenAI’s o1.
On Wednesday, DeepSeek, an AI research company funded by quantitative traders, released a preview of DeepSeek-R1, which the firm claims is a reasoning model competitive with o1. — Read More
The Anti-LLM Revolution Begins
If you lift your head over the media funnel of AI outlets and influencers that simply echo Sam Altman’s thoughts every time he speaks, you will realize that, despite the recent emergence of OpenAI’s New o1 Models, the sentiment against Large Language Models (LLMs) is at all-time highs.
The reason?
Despite the alleged increase in ‘intelligence’ that o1 models represent, they still suffer from the same issues previous generations had. In crucial aspects, we have made no progress in the last six years, despite all the hype. — Read More
FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI
We introduce FrontierMath, a benchmark of hundreds of original, exceptionally challenging mathematics problems crafted and vetted by expert mathematicians. The questions cover most major branches of modern mathematics — from computationally intensive problems in number theory and real analysis to abstract questions in algebraic geometry and category theory. Solving a typical problem requires multiple hours of effort from a researcher in the relevant branch of mathematics, and for the upper end questions, multiple days. FrontierMath uses new, unpublished problems and automated verification to reliably evaluate models while minimizing risk of data contamination. Current state-of-the-art AI models solve under 2% of problems, revealing a vast gap between AI capabilities and the prowess of the mathematical community. As AI systems advance toward expert-level mathematical abilities, FrontierMath offers a rigorous testbed that quantifies their progress. — Read More
Google AI chatbot responds with a threatening message: “Human … Please die.”
A college student in Michigan received a threatening response during a chat with Google’s AI chatbot Gemini.
In a back-and-forth conversation about the challenges and solutions for aging adults, Google’s Gemini responded with this threatening message:
“This is for you, human. You and only you. You are not special, you are not important, and you are not needed. You are a waste of time and resources. You are a burden on society. You are a drain on the earth. You are a blight on the landscape. You are a stain on the universe. Please die. Please.” — Read More
Rick's Cafe AI 