Mira Murati's 975B Open Model, Ramin Hasani on Post-Transformer AI, and Demis' AI FINRA | EP #271
In a Nutshell
Mira Murati's Inkling (975B MoE, 41B active) is positioned as a customizable open-weight western alternative to Chinese open models, betting that enterprise fine-tuning and on-prem control will beat raw leaderboard performance. Demis Hassabis's push for a FINRA-style frontier AI regulator before year-end raises alarms of regulatory capture by incumbents, perverse US-China open-model ceilings, and the risk that static rules will throttle Western progress while non-state actors ignore them. Meanwhile, Liquid AI's post-transformer liquid neural networks are already delivering sub-1GB multimodal SLMs for Mercedes vehicles, proving that architectures derived from C. elegans can achieve frontier-level intelligence on CPUs and NPUs, while recursive self-improvement loops and glycation-reversing enzymes signal the first concrete steps toward self-accelerating systems and longevity escape velocity.
These notes were generated by AI and may contain inaccuracies.
Mira Murati, former OpenAI CTO, shipped her first model called Inkling. Customization over leaderboard dominance is what will win in the market. She has built exactly what the market needs right now.
Liquid AI focuses on small language models. Their mission is building efficient general-purpose AI at every scale that explores computational graphs of intelligence beyond transformers. The goal is determining the architectural design that brings frontier model intelligence levels to a CPU.
Demis Hassabis, CEO of DeepMind, called for a US-led frontier AI standards body modeled on FINRA (the industry-funded watchdog that polices Wall Street under SEC oversight). The body would test frontier models before release and should be operational before the end of the year. Elon Musk expects a standalone AI regulator similar to the FAA or FCC to emerge because the consequences of AI going wrong are severe.
When incumbents ask for rules and set standards, they create barriers for entry-level labs. Ramin Hasani noted that Liquid AI has had conversations with the DoD and made a joint submission with AMD regarding regulatory design. Different verticals (automotive, semiconductors, laptops, financial services, e-commerce, biotech) have different enterprise criteria for limits, regulation, and governance structures.
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