Stockholm-based Lovable has raised $400 million in Series C funding at a $13.3 billion valuation, the company announced on August 12, 2026, following its…
Category: AI
Causality Sum Rules in Conventional Scattering Matrices
arXiv:2608.10427v1 Announce Type: cross Abstract: Scattering matrices are the standard experimental and computational description of photonic and…
Why Sandbar thinks it’s voice-enabled ring can avoid the AI hardware graveyard
AI notetaking hardware has taken off over the past couple of years, with credit-card-sized devices, pendants, pins, and even transcribing earbuds all…
Never Stop Speaking: a Denial-of-Service Attack on End-to-End Speech Language Models
arXiv:2608.10405v1 Announce Type: cross Abstract: Many studies have shown that specially crafted inputs can induce large language models (LLMs) to…
Mesh, Automattic’s CRM for everyone, comes to Android
Mesh, an AI-powered contacts app and relationship manager from Automattic is now an Android app.
Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic Critique
arXiv:2608.10430v1 Announce Type: cross Abstract: Large Language Models (LLMs) deployed as AI agents frequently exhibit user specification-grounding…
AI tools for breast cancer detection fall short of radiologists’ expectations
About half of 215 surveyed members of the Society of Breast Imaging already use FDA-approved AI tools for breast cancer detection, but the results fall…
MemSpec: Memory-Aware Runtime for Adaptive Draft Scheduling in Speculative Decoding on Edge Devices
arXiv:2608.10362v1 Announce Type: cross Abstract: Speculative decoding accelerates autoregressive large language model (LLM) inference by using a…
Lovable confirms new $13.3B valuation, raises another $400M
This new funding comes after Lovable hit $500 million in annualized run rate revenue in June, the startup told TechCrunch.
Persona Conditioning as an Assessor-Sensitivity Probe for LLM-Based IR Evaluation
arXiv:2608.10385v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as relevance assessors in information retrieval (IR)…