Artificial intelligence has made remarkable progress, with Large Language Models (LLMs) and their advanced counterparts, Large Reasoning Models (LRMs), redefining how machines process and generate human-like text. These models can write essays, answer questions, and even solve mathematical problems. However, despite their impressive abilities, these models display curious behavior: they often overcomplicate simple problems while…
Georgian Partners, in collaboration with NewtonX and an 11-partner global consortium, has released its AI, Applied Benchmark Report, offering a robust snapshot of how AI is transforming B2B software and enterprise companies worldwide. This expanded second wave draws on a blind survey of 612 executives—split evenly between R&D and go-to-market leaders—across 10 countries and 15…
In a strategic push to cement its leadership in enterprise-ready artificial intelligence, Iterate.ai has raised $6.4 million in funding. The round is led by Auxier Asset Management and includes prominent investors Peter Cobb, Mike Edwards, and Dave Zentmyer—all former board members of eBags, the $1.65B online travel retailer co-founded by Iterate CEO Jon Nordmark. This high-profile…
The prevailing fear around artificial intelligence (AI) is that it will render human workers obsolete, replacing jobs, eroding trust, and stripping away the human element of work. It’s an anxiety rooted in real data: according to the World Economic Forum, 40% of employers expect to reduce headcount due to AI automation, and Goldman Sachs estimates…
Why it matters: Apple Challenges AI’s Reasoning Claims by questioning if large language models truly think or just mimic data.
Large Language Models (LLMs) have rapidly become indispensable Artificial Intelligence (AI) tools, powering applications from chatbots and content creation to coding assistance. Despite their impressive capabilities, a common challenge users face is that these models sometimes skip parts of the instructions they receive, especially when those instructions are lengthy or involve multiple steps. This skipping…
Why it matters: Google AI Enhances Hurricane Forecasting by boosting storm tracking accuracy up to 72 hours in advance.
Why it matters: Learn how precise data labeling empowers machine learning models, ensuring better accuracy and more reliable outcomes in real-world scenarios.
Why it matters: As AI adoption accelerates, businesses must move beyond hype and focus on measurable outcomes. This article explores how companies are generating real value from Applied AI — from profitability gains to strategic advantage.
Why it matters: Geoffrey Hinton Warns of AI Control Threat, highlighting urgent concerns about AI safety, ethics, and regulation.