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Google researchers created MapTrace, a synthetic data generation pipeline that teaches multimodal language models to trace valid paths on maps by generating 2M annotated training examples using Gemini and Imagen models. Fine-tuning models on 23,000 paths from the dataset reduced path-tracing error (NDTW metric) from 1.29 to 0.87 for Gemini 2.5 Flash and improved success rates by up to 6.4 percentage points. The approach demonstrates that spatial reasoning abilities can be taught explicitly to AI models through targeted synthetic supervision rather than manually annotating real-world maps.
Google DeepMind announced a National Partnership for AI with Indian government bodies and institutions to provide access to frontier AI models for scientific research and education. The partnership includes $30 million in grants through the Google.org Impact Challenge: AI for Science, support for 2 million textbooks to be converted into AI-interactive versions across 2,000 schools, and integration of AI tools like AlphaGenome and Earth AI for Indian researchers. The initiative aims to accelerate scientific discovery, improve student learning outcomes, and support India's renewable energy and agriculture sectors.
Last Week in AI's podcast episode 234 covered major AI model releases including Anthropic's Opus 4.6 with 1M-token context, OpenAI's GPT-5.3 Codex, and Google's Gemini 3 Deep Think, alongside generative media advances from ByteDance, Alibaba, and xAI. Notable funding rounds included ElevenLabs raising $500M at $11B valuation, Runway raising $315M at $5.3B valuation, and humanoid robotics firm Apptronik raising $935M at $5.3B valuation. The episode discussed open-source releases, policy developments, and industry updates including Waymo's preparation for high-volume production of sixth-generation autonomous vehicle hardware.
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