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AI Evaluation

357 summarised stories about AI Evaluation, each linking back to the original source. Browse all topics →

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Wednesday, 14 October 2026

Grok Voice 3.0 from SpaceXSI outscores OpenAI and Google on speech-to-speech index

SiliconANGLE 3 days ago 50 ● 4 sources

SpaceXSI released Grok Voice 3.0, a speech-to-speech model powering its Voice Agent API for customer support and sales calls. Artificial Analysis rated Grok Voice 3.0 at 86.9 on its Speech-to-Speech Index, ahead of OpenAI’s GPT-Live-1 at 83.2 and Google’s Gemini 3.8 Live at 82.6. The model is now available in production at 8 cents a minute, with developers moved to a grok-voice-latest alias without changes, and it is reported to improve call quality, cost per task, and accuracy on EVA-Bench.

Brussle

Product Hunt 3 days ago 21

Brussle is presented as an AI metrics and evaluation tool that calibrates AI decisions from model outputs using held-out outcomes and reruns calibration when inputs or the model change. It launched on Product Hunt with 10 followers. Corrections are applied only when they outperform the original model on those held-out results.

Steering AI Beyond Automation

AI as Normal Technology 3 days ago 41

The authors argue that AI research is overfocused on automating human labor and propose shifting toward AI designed for human-AI collaboration instead. They point to low latency—describing it as necessary to support real-time interaction like a natural conversation—as a key research target. This changes AI development by prioritizing white-box, low-latency, continually collaborative, and collaboration-focused evaluation directions over black-box delegation systems.

Analyzing technical documents with Deep Review

Google Research 3 days ago 39 ● 2 sources

Google released Deep Review, an agentic AI system for rigorous feedback and technical verification of complex documents. The public release includes two complimentary document reviews per week for every user. It expands access beyond the prior Paper Assistant Tool pilots, offering tiered API use, initial support for PDFs and plain text, and a policy that uploaded documents are not used to train Google models.

Are Harnesses Worth the Cost?

martinfowler.com 3 days ago 27

A coding-agent harness that added contract guides and executable feedback increased token use, time, and cost while the agent still met the same acceptance criteria in repeated trials. With GPT-6 Sol, the harness used 10.5 times as many tokens and took nearly 3 times as long, yet both harnessed and unassisted runs succeeded in all 10 runs. The result was no observable improvement in final application reliability, so the harness failed to justify its added cost in this setup.

Gemini 4 Argon benchmark results: accuracy vs. abstention

Artificial Analysis 3 days ago 7 ● 20 sources

Gemini 4 Argon is being rolled out to selected users with benchmark results showing it matches GPT-6 Astra on an Artificial Analysis Index score while improving on lower hallucinations and agentic evaluations. It costs $1.99 per Intelligence Index task during a 50% launch discount (before discount, $3.98 after the promo ends). The promotion and cache discounts lower per-task cost and reduce hallucination rates, while accuracy is reported at 50%.

Anthropic opens Singapore office and signs MOU with the Government of Singapore

Anthropic 19

Anthropic opened a new Singapore office and signed an MOU with Singapore’s Ministry of Digital Development and Information to expand its Asia-Pacific operations. The MOU covers cooperation starting after it was signed at Singapore International Cyber Week 2024, including AI safety, security, and model evaluation. The expansion leads to more technical exchanges, ongoing support for responsible AI adoption in public and private sectors, and continued rollout and use of Claude and Claude Code by local organizations.

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