Models & LabsInvestment · $50M
TBC Brings Rat Brain AI to AWS for Video Gen
WIRED AIhigh confidence
Why it matters
- →TBC demonstrates a viable path for 'wetware' inference, moving beyond lab curiosities to cloud-accessible services.
- →The claim of 5x speedup on video generation challenges the assumption that silicon-only models are the only efficient path forward.
- →Major investor interest (Jeff Dean) signals institutional belief in biological computing as a distinct architectural advantage.
The Biological Computing Company (TBC) has secured a partnership with Amazon Web Services to offer its biologically-derived AI model for video generation. Founded by neuroscientists Alexander Ksendzovsky and Jon Pomeraniec, TBC uses living rat brain cells on silicon arrays to process visual information, claiming up to five times faster inference speeds compared to existing open-source models. The startup recently raised an additional $25 million, bringing its total funding to over $50 million, with backing from investors including Google AI researcher Jeff Dean. While currently limited to select AWS customers, the company aims to expand access as it validates the scalability of biological computing for long-form video consistency.
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Rabbit Launches OS3 Agentic Platform
Rabbit pivots from failed hardware to a cross-platform agentic operating system called OS3. It runs locally on desktops while being controlled via phone or browser, using your own API keys for models like OpenAI or Anthropic. The system executes local tasks and integrates third-party agents through a simple chat interface. This marks a significant shift from proprietary hardware dependency to an open software ecosystem that leverages existing devices.
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Viture Launches Privacy-Focused AI Glasses
Viture is pivoting from bulky VR displays to a sleek pair of smart glasses that map your life through audio alone. The Vonder device uses bone-conduction sensors to capture speech without cameras, building a personal memory graph that connects your daily experiences and goals. By routing queries through multiple LLMs like Claude and Gemini, it aims to act as an external brain rather than just a recorder. This approach sidesteps the privacy backlash plaguing Meta’s Ray-Bans by keeping data local and visual indicators subtle. It represents a distinct shift toward passive, audio-first AI companions that prioritize user comfort and discretion over constant surveillance.
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Cisco Talos Unveils CAIRN to Detect AI-Driven Malware
Cisco Talos has released CAIRN, an open-source framework designed to detect the digital fingerprints left by AI integration in malware. The tool successfully identified CLOSEDQUORUM, a Windows-based threat that autonomously polls four different LLMs—including DeepSeek and Gemini—to coordinate attacks without human intervention. This discovery shifts the narrative from theoretical AI threats to operational reality, proving that attackers are already building redundant, hive-mind infrastructures. For defenders, CAIRN provides the first systematic way to classify these emerging artifacts and track trends in autonomous cybercrime.
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