venturebeat
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.For industries where accuracy is paramount — legal, finance, and medical — the lack of a standardized way to measure factuality has been a critical blind spot.That changes today: Google’s FACTS team and its da [...]

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venturebeat
Frontier models can recover up to 65% of facts they can't directly recall — just by thinking longer

When large language models (LLMs) hallucinate, developers typically assume the model lacks the required facts. Engineering teams diagnose the error as missing knowledge. The standard response is to in [...]

Match Score: 138.44

venturebeat
Enterprise AI agents are only as reliable as the messiest documents behind them

Enterprise AI has largely been built around context engineering. Teams connect enterprise systems, generate chunks and embeddings, build retrieval pipelines, and assemble the context needed by individ [...]

Match Score: 84.83

venturebeat
Enterprises using multiple AI models are underestimating failure rates by 2.25x

A team routing queries across a coding specialist, a logic specialist, and a generalist model assumes each will cover the others' blind spots. A new study evaluating 67 frontier models from 21 pr [...]

Match Score: 84.47

venturebeat
Perplexity takes its ‘Computer’ AI agent into the enterprise, taking aim at Microsoft and Salesforce

Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]

Match Score: 72.94

venturebeat
Google researchers introduce 'faithful uncertainty', allowing LLMs to offer best guesses instead of hallucinations

Large language models continue to struggle with hallucinations, presenting a major roadblock for real-world enterprise applications. Reducing these errors is a messy business, forcing model developers [...]

Match Score: 72.41

venturebeat
As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer

Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]

Match Score: 67.26

Destination
Govee's CES lineup includes a ceiling lamp that simulates skylights

Govee, which makes some of the more unique and interesting smart lighting products, has a new batch at CES 2026. That includes two ceiling lights (one of which simulates a skylight) and a floor lamp t [...]

Match Score: 59.13

Destination
How to record a phone call on an iPhone

With iOS 26, Apple has expanded its native call recording feature with transcripts, Live Translation, summaries and tighter integration with Notes. It’s a more polished and useful tool than before, [...]

Match Score: 54.94

venturebeat
Anthropic brings Mythos to the masses with Claude Fable 5, its most powerful generally available model ever

Anthropic today launched two new AI models — Claude Fable 5 and Claude Mythos 5 — marking the company’s first broad release of the powerful “Mythos-class” AI capabilities it previously kept [...]

Match Score: 54.59