“Google Research introduced ConvApparel, a human-AI conversation dataset paired with an evaluation framework to quantify and bridge the “realism gap” in LLM-based user simulators, boosting the training of more robust conversational agents.”

#6 𝕏 Google Research introduced ConvApparel, a human-AI conversation dataset paired with an evaluation framework to quantify and bridge the “realism gap” in LLM-based user simulators, boosting the training of more robust conversational agents.

“Google Research introduced ConvApparel, a human-AI conversation dataset paired with an evaluation framework to quantify and bridge the “realism gap” in LLM-based user simulators, boosting the training of more robust conversational agents.”

#6 𝕏 Google Research introduced ConvApparel, a human-AI conversation dataset paired with an evaluation framework to quantify and bridge the “realism gap” in LLM-based user simulators, boosting the training of more robust conversational agents.

“Google Research introduced ConvApparel, a human-AI conversation dataset paired with an evaluation framework to quantify and bridge the “realism gap” in LLM-based user simulators, boosting the training of more robust conversational agents.”

Google Research introduced ConvApparel, a human-AI conversation dataset paired with an evaluation framework to quantify and bridge the “realism gap” in LLM-based user simulators, boosting the training of more robust conversational agents. #7 𝕏 Rowan Cheung : Meta launched TRIBE v2, a foundation model trained on 1,000+ hours of fMRI data from 720 people that predicts which brain regions light up, how strongly, and in what order from video, audio, or text—outperforming real scans.

“Google Research launched a new evaluation framework that optimizes the ratio of benchmark items to human raters per item, improving capture of nuanced disagreement in subjective AI tasks and boosting reproducibility.”

𝕏 Google Research launched a new evaluation framework that optimizes the ratio of benchmark items to human raters per item, improving capture of nuanced disagreement in subjective AI tasks and boosting reproducibility.

“#5 𝕏 Google Research introduced Vibe Coding XR, a rapid prototyping workflow that pairs Gemini Canvas with the XR Blocks framework.”

#4 𝕏 Google DeepMind is rolling out Lyria 3 Pro, offering an API for developers in Google AI Studio and in-app access for paid subscribers via the Gemini App. Also covered by: @Google DeepMind , @Demis Hassabis , @Demis Hassabis , @Logan Kilpatrick #5 𝕏 Google Research introduced Vibe Coding XR, a rapid prototyping workflow that pairs Gemini Canvas with the XR Blocks framework. It turns simple prompts into interactive, physics-aware WebXR apps for fast testing of intelligent spatial experiences.

“#6 𝕏 Google Research introduced TurboQuant, a new compression algorithm that reduces LLM key‐value cache memory by at least 6× and boosts inference speed by up to 8× with zero accuracy loss.”

#6 𝕏 Google Research introduced TurboQuant, a new compression algorithm that reduces LLM key‐value cache memory by at least 6× and boosts inference speed by up to 8× with zero accuracy loss. #7 📝 OpenAI News Helping developers build safer AI experiences for teens - OpenAI outlines guidance and policies to help developers build safer AI experiences for teenage users, describing safeguards and policy expectations for GPT, open-source projects, and related tools.

“Google Research ran a large-scale evaluation of its mammography AI across multiple NHS UK screening services, finding it boosts cancer-detection accuracy and cuts radiologist workload in complex double-reading workflows.”

#17 𝕏 Google Research ran a large-scale evaluation of its mammography AI across multiple NHS UK screening services, finding it boosts cancer-detection accuracy and cuts radiologist workload in complex double-reading workflows.

“Google Research identifies data scarcity—not model complexity—as Africa’s key AI hurdle and launches WAXAL, an open-access dataset with 2,400+ hours of high-quality speech across 27 Sub-Saharan African languages, serving 100M+ speakers.”

Google Research identifies data scarcity—not model complexity—as Africa’s key AI hurdle and launches WAXAL, an open-access dataset with 2,400+ hours of high-quality speech across 27 Sub-Saharan African languages, serving 100M+ speakers.

“Google Research expanded its global flood forecasting coverage by launching an AI-driven urban flash flood forecasting system, combining high-resolution precipitation nowcasts with hydrological models to deliver real-time, city-scale flood alerts.”

#7 𝕏 Google Research expanded its global flood forecasting coverage by launching an AI-driven urban flash flood forecasting system, combining high-resolution precipitation nowcasts with hydrological models to deliver real-time, city-scale flood alerts. Also covered by: @Google Research

“Google Research partnered with @BIDMC_Medicine to pilot AMIE, a conversational AI for clinical reasoning, and in a real-world study found it to be safe, feasible, and well-received by patients.”

Today's top 25 insights for PM Builders, ranked by relevance from Blogs, X, LinkedIn, and YouTube. #10 𝕏 Google Research partnered with @BIDMC_Medicine to pilot AMIE, a conversational AI for clinical reasoning, and in a real-world study found it to be safe, feasible, and well-received by patients. #11 📝 OpenAI News Designing AI agents to resist prompt injection - This post describes techniques for designing AI agents that are robust against prompt injection attacks, outlining security practices and mitigations. It focuses on architecture and behavioral approaches to reduce the risk of maliciously crafted inputs influencing agent behavior.