TRM Labs says AI agent KYC hinges on verifying the human principal. Accountability for faulty agent payments may fall on developers and protocol teams. North Korea drove 85% of 2026 crypto hack value, TRM data shows. #Security (Crypto Scams and Hacks ...
Grok drives nearly 60% of Coinbase's AI agent trading as x402 payment volume surges 10,780% in October, while spending-limit guardrails remain incomplete.
Sentra, a provider of agentic data security, has raised $150m in a strategic round led by Capital One Ventures. The deal comes as businesses rush to deploy AI agents that can reach sensitive information faster than security teams can govern it. Capital One Ventures joins Sentra’s existing backers, including Bessemer Venture Partners, Zeev Ventures, Standard […]
Asian stocks ended mixed on Thursday as regional chipmaking shares slumped on expectations of tighter tech oversight. Technology stocks slumped in South Korea and Japan on concerns that a Democratic-led US Congress could push for tighter regulation of AI development and data centre construction,
Nov 5 (Reuters) - Qualcomm shares dropped about 9% in premarket trading on Thursday after smartphone chip sales missed Wall Street estimates, raising concerns that weakness in its core handset business could offset gains from newer growth areas such as data-center chips.
Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a…
Two side projects explored a new way to get work done with files already in Dropbox. Here’s how engineers brought them together and turned those experiments into a new customer experience.
On-policy self-distillation provides dense, token-level supervision by conditioning a model on privileged information and distilling the resulting teacher distribution back into the model. However, privileged information can change not only what the teacher knows, but also how…
Recent advances in Large Language Models (LLMs) have revolutionized artificial intelligence and how human interact with AIs. Despite impressive advancements, LLMs struggle with complex mathematical, scientific, and logical tasks. Inspired by human cognitive flexibility - our…
Auto-bidding is central to computational advertising, where strategies must maximize advertisers' conversion value under economic constraints. It has evolved from rule-based controllers to reinforcement learning and generative methods such as Decision Transformer (DT). Yet…
Sequential recommendation aims to predict the next item a user will interact with based on their historical behavior. Advances in Transformers have significantly improved sequential recommendation but are still limited by cost efficiency. Although State Space Models (SSMs) have…