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9 storiesInnovation
Forbes reports Nvidia’s AVO harness helped Claude Opus 5 reach 100% on ARC-AGI-3
Forbes reports that Nvidia’s AVO agent harness raised Claude Opus 5’s completion rate on ARC-AGI-3’s public set from about 30% to 100% without changing the model’s weights. The result materially advances an existing report about Nvidia’s AVO system, but the supplied article’s claims are not independently confirmed…forbes.comSecurity
NVIDIA says AI-agent security should sit below the harness
NVIDIA argues that AI-agent security controls should be enforced by runtimes and infrastructure, rather than by modifiable model or harness logic. Its technical blog proposes a layered architecture and four workload profiles, but provides no independent validation of the approach.
developer.nvidia.comInnovation
Google DeepMind plans staged AI research in EVE’s persistent game worlds
Google DeepMind says it is expanding its games research through a partnership with Fenris Creations, the studio behind the EVE universe. The program will test agents’ memory, continual learning, long-horizon planning and multi-agent behavior, beginning with an offline EVE Online environment.
deepmind.googleSecurity
Open-source app warns about nearby smart glasses, but its signals are only a rough proxy
The Nearby Glasses project uses Bluetooth data to flag some smart-glasses devices on Android and iOS. Its own documentation says the system can produce false positives, miss devices and should not be used to confront people.github.comSecurity
Google Threat Intelligence reports AI-assisted vulnerability research and autonomous malware
Google Threat Intelligence Group says adversaries are using AI to accelerate vulnerability research, evade detection, automate malware actions and target the software supply chain around AI systems.cloud.google.comSecurity
Preprint reports language-model outputs can leak secrets held in context
An arXiv preprint reports that language models may reveal sensitive data placed in context, even after refusing direct extraction requests. In controlled experiments, the authors say adaptive attacks recovered short secrets from ordinary outputs and extracted full Social Security numbers from a production-style agent.arxiv.orgInnovation
Thinkingbox benchmark finds AI agents struggle to reliably complete stateful business workflows
A new arXiv paper introduces Thinkingbox, a sandbox and benchmark for testing AI agents on multi-step business tasks. The strongest tested model achieved a 65.36% pass@1 score but only a 25.25% pass^20 score, highlighting the gap between occasional success and dependable execution.arxiv.orgInnovation
Preprint reports asymmetric risks that LLM compression metrics can miss
An arXiv preprint evaluating 3 LLMs across 11 compression methods reports that aggregate accuracy and perplexity can conceal uneven knowledge loss, overconfidence on newly lost information, and offsetting shifts in subgroup bias.arxiv.orgInnovation
Preprint finds irrelevant text can shift multimodal model judgments predictably
An arXiv preprint reports that task-irrelevant text consistently biases multimodal language models in visual judgments, and describes the effect as a measurable affine shift in decision margins.arxiv.org
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