Multimodal is a topic tracked in our intelligence system with 6 linked articles.
LLMs could have finance applications, but data limitations and market noise persist; a key data point is ~177 billion market tokens per year vs GPT-3’s 500 billion tokens in training.
AGI will not emerge from fixed multimodal, scale-heavy systems; true general intelligence requires embodied world modeling and emergent cross-modality processing rather than patchwork modality fusion.
YC S22-backed Poly aims to replace traditional file explorers with AI-powered, cross-platform search and an agent, offering a 100GB free tier and 2TB for $10/month (plus small per-GB charges) and a public waitlist/demo.
Gemma 4 12B claims a unified, encoder-free multimodal model.
Thinking Machines unveils 'Interaction Models'—a real-time, multimodal, two-model architecture with 200ms micro-turns and encoder-free fusion, aiming to embed interactivity directly into the model and benchmarked against multiple rivals.
A technical blog post shows a 16% throughput and ~11% end-to-end latency improvement in multimodal inference by caching CUDA IPC pool handles in a Python dict, reducing host-side overhead in SGLang.
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