Lumbra announced on November 10, 2026 that it raised a $25 million Series A co-led by Point72 Ventures and Ansa, with continued participation from existing investor Costanoa, to expand its controlled AI-agent platform
Charta Health announced on November 10, 2026, that it had raised a $55 million Series B to expand its AI chart-review technology. Insight Partners led the financing, which also drew QuantumLight and returning investors
Motif Technologies plans to launch a global application programming interface business based on a next-generation model due to be released next year. The company aims to monetise in overseas coding and AI agent markets, where use of open-weight models is more active. Motif has begun developing its next AI model, Motif 4, and plans to release it as an open-weight model in the first quarter of next year. It expects model performance and token costs to determine profitability.
Microsoft researchers have discovered “Lazarus,” a backdoor technique that can reprogram dormant neurons in an AI model, causing an otherwise normal AI agent to execute malicious commands when a hidden trigger appears. The threat is especially serious for AI agents with tool or terminal access. A triggered model could quietly download and run attacker code, […]
SPARETECH announced on November 10, 2026, that it had raised $20 million in Series B funding co-led by Blume Equity and Insight Partners, with participation from Headline. The company will use the capital to develop AI
Ricursive Intelligence introduces Ripple-65B Preview, a 65B parameter dense Transformer model pretrained on 12 trillion tokens with support for up to 1M context length. Ripple-65B Preview delivers strong results on agentic coding, scoring 80.52 on TerminalBench 2.1 and…
In-band full-duplex (IBFD) multiple-input multiple-output (MIMO) systems enable simultaneous transmission and reception on the same frequency band, improving spectral efficiency for next-generation wireless networks. However, IBFD-MIMO systems are susceptible to…
Effective communication between users and AI agents is essential for human-AI collaboration. The XY problem is a well-known communication pitfall where a person asks about their attempted solution rather than their actual problem. We extend prior sycophancy evaluation to the XY…
Robust linear fits can resist response contamination yet remain too dense or unstable for useful global explanations. We propose penalized distillation, which fits a smoothly clipped absolute deviation (SCAD) estimator to a robust initial estimator's empirical fitted surface…
Post-training turns a general next-token predictor into a chat model with a persistent assistant persona. If that persona is a character the model plays only on its own turns, its preferences should govern what the assistant says, not what the model predicts other speakers will…