venturebeat
Gemini 3 Pro scores 69% trust in blinded testing up from 16% for Gemini 2.5: The case for evaluating AI on real-world trust, not academic benchmarks

Just a few short weeks ago, Google debuted its Gemini 3 model, claiming it scored a leadership position in multiple AI benchmarks. But the challenge with vendor-provided benchmarks is that they are just that — vendor-provided. A new vendor-neutral evaluation from Prolific, however, puts Gemini 3 at the top of the leaderboard. This isn't on a set of academic benchmarks; rather, it's on a set of real-world attributes that actual users and organizations care about. Prolific was founded by researchers at the University of Oxford. The company delivers high-quality, reliable human data to power rigorous research and ethical AI development. The company's “HUMAINE benchmark” applies this approach by using representative human sampling and blind testing to rigorously compare A [...]

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venturebeat
Artificial Analysis overhauls its AI Intelligence Index, replacing popular benchmarks with 'real-world' tests

The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an indepe [...]

Match Score: 85.45

venturebeat
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 [...]

Match Score: 66.08

venturebeat
Frontier models are failing one in three production attempts — and getting harder to audit

AI agents are now embedded in real enterprise workflows, and they're still failing roughly one in three attempts on structured benchmarks. That gap between capability and reliability is the defin [...]

Match Score: 65.94

venturebeat
Google Gemini 3.1 Pro first impressions: a 'Deep Think Mini' with adjustable reasoning on demand

For the past three months, Google's Gemini 3 Pro has held its ground as one of the most capable frontier models available. But in the fast-moving world of AI, three months is a lifetime — and c [...]

Match Score: 62.40

venturebeat
Google’s new Deep Research and Deep Research Max agents can search the web and your private data

Google on Monday unveiled the most significant upgrade to its autonomous research agent capabilities since the product's debut, launching two new agents — Deep Research and Deep Research Max [...]

Match Score: 62.39

venturebeat
Gemini 3 Flash arrives with reduced costs and latency — a powerful combo for enterprises

Enterprises can now harness the power of a large language model that's near that of the state-of-the-art Google’s Gemini 3 Pro, but at a fraction of the cost and with increased speed, thanks to [...]

Match Score: 60.32

Destination
Belkin Charging Case Pro for Switch 2 review: A more elegant solution

Last year, Belkin released a couple of cases for the Nintendo Switch 2 just in time for launch, including one that came with a handy battery pack. That one was simple and effective, but it felt a bit [...]

Match Score: 56.57

venturebeat
Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs' formation

Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large l [...]

Match Score: 56.03

venturebeat
Scale AI launches Voice Showdown, the first real-world benchmark for voice AI — and the results are humbling for some top models

Voice AI is moving faster than the tools we use to measure it. Every major AI lab — OpenAI, Google DeepMind, Anthropic, xAI — is racing to ship voice models capable of natural, real-time conversat [...]

Match Score: 54.64