2025-12-10
The 70% factuality ceiling: why Google’s new ‘FACTS’ benchmark is a wake-up call for enterprise AI
There's no shortage of generative AI benchmarks designed to measure the performance and accuracy of a given model on completing various helpful enterprise tasks — from coding to instruction following to agentic web browsing and tool use. But many of these benchmarks have one major shortcoming: they measure the AI's ability to complete specific problems and requests, not how factual the model is in its outputs — how well it generates objectively correct information tied to real-world data — especially when dealing with information contained in imagery or graphics.
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2025-10-01
GitHub leads the enterprise, Claude leads the pack—Cursor’s speed can’t close
In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]
2025-12-09
Databricks' OfficeQA uncovers disconnect: AI agents ace abstract tests but stall at 45% on enterprise docs
There is no shortage of AI benchmarks in the market today, with popular options like Humanity's Last Exam (HLE), ARC-AGI-2 and GDPval, among numerous others.AI agents excel at solving abstract ma [...]
2025-12-11
FACTS benchmark shows that even top AI models struggle with the truth
A new benchmark from Google Deepmind aims to measure AI model reliability more comprehensively than ever before. The results reveal that even top-tier models like Gemini 3 Pro and GPT-5.1 are far from [...]
2025-11-18
Google unveils Gemini 3 claiming the lead in math, science, multimodal and agentic AI benchmarks
After more than a month of rumors and feverish speculation — including Polymarket wagering on the release date — Google today unveiled Gemini 3, its newest proprietary frontier model family and th [...]
2025-11-29
Why observable AI is the missing SRE layer enterprises need for reliable LLMs
As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise syst [...]
2025-10-09
The next AI battleground: Google’s Gemini Enterprise and AWS’s Quick Suite bring full-stack, in-context AI to the workplace
The friction of having to open a separate chat window to prompt an agent could be a hassle for many enterprises. And AI companies are seeing an opportunity to bring more and more AI services into one [...]
2025-11-07
Terminal-Bench 2.0 launches alongside Harbor, a new framework for testing agents in containers
The developers of Terminal-Bench, a benchmark suite for evaluating the performance of autonomous AI agents on real-world terminal-based tasks, have released version 2.0 alongside Harbor, a new framewo [...]
2025-11-18
Writer's AI agents can actually do your work—not just chat about it
Writer, a San Francisco-based artificial intelligence startup, is launching a unified AI agent platform designed to let any employee automate complex business workflows without writing code — a capa [...]