Miami-based AI startup Subquadratic emerged from stealth last month claiming to have solved a fundamental mathematical bottleneck that has held back large language models for nearly a decade. Initial reactions from the research community were skeptical, with technical details appearing sparse relative to the scale of the claim. The company has since begun releasing more substantive supporting evidence, and MIT Technology Review investigates whether it can back up its assertions.
Gao Jiyang, founder of Chinese embodied-intelligence startup Xinghaitu, lays out a three-layer technical roadmap he considers essential for building robust embodied AI systems. He contends that each layer of the stack must be developed thoroughly and in sequence, with no viable workarounds. His central message is that teams hoping to leapfrog foundational engineering in embodied intelligence will inevitably encounter compounding failures.
Odyssey, a startup building world models — AI systems that simulate and predict physical environments beyond the scope of text-based LLMs — has closed a funding round valuing the company at $1.45 billion. Amazon is among the prominent backers. The raise positions Odyssey as a leading contender in what many see as the next frontier of AI development.
French startup Genesis AI has introduced Eno, a robot that challenges the conventional definition of 'humanoid.' Unlike bipedal competitors, Eno may lack a head or legs, instead featuring a wheeled base and a deck-chair-like folding structure. Genesis AI argues that humanoid robots don't need to look human to serve human environments, signaling a deliberate design rethink in a crowded robotics sector.
QbitAI reports that Kunlunxing, co-founded by former Li Auto autonomous driving leader Lang Xianpeng and former Alibaba vice president Ren Geng, has settled in Beijing Yizhuang. The startup targets general embodied intelligence, benchmarking Tesla humanoid robots and building both robot hardware and AI brains. Despite fast hiring, strong investor backing, and a reported unicorn valuation, the article stresses that technical paths, commercialization, and real-world deployment remain uncertain.
INSIDE introduces Taiwan’s FITI program as a bridge between academic research and startup commercialization. The program helps research teams build business thinking and market connection capabilities through mentors, courses, and supporting resources. Its focus is helping technology-driven teams shorten the gap between laboratory research and market entry, with the article highlighting FITI’s role in accompanying nearly 600 startups through their earliest entrepreneurial steps.