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In Q2 FY27, L&T Technology Services (LTTS) reported $317.1 million in revenue, up 4.8% year-over-year in constant currency. This performance was driven by $203 million in total contract value (TCV
Most conversations about the future of AI focus on hyperscalers, chips and increasingly capable models. For Michael Ferrari, chief AI officer at Moby, this overlooks a critical part of the equation: t
A judge ordered Abdulrahman Alfozan to remain in custody, likening the Saudi government’s offer to secure the former OpenAI engineer’s release to a “blank check.”
Amazon wants to break Nvidia’s hold on PyTorch, the free toolkit used to build most AI apps, so that more developers run their apps on alternative chips like its own.
Fed up with ads, tracking and sluggish interfaces, some smart TV owners are turning to AI agents to strip away bloatware and take back control of their TVs.
The idea of embedded evaluators — in which supposedly "neutral" third-party observers are placed inside AI organizations — has been popularized over the last several months, as AI labs grapple with a
Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers and also trying to make on-device, private AI agents a thing.
The entertainment giant hopes to get trust and safety tech, among other IP, from a startup whose chatbots dozens of states allege encouraged minors to self-harm and kill their parents.
Birla AI Labs, an AI initiative and venture studio under the Aditya Birla Group, has released Yug-1, its first time series foundation model (TSFM), developed to forecast outcomes, identify patterns, a
Adult performers are questioning why Meta allows its AI agent to sext while restricting their social media accounts.
Anthropic said that it will commit 5% of its shares to the fund.
After chatbot startup Character.AI filed for bankruptcy earlier this week, many of its employees will have the opportunity to take jobs at Disney. Character.AI’s former CEO Karandeep Anand recently be
Anthropic has granted external evaluators “employee-like access” to assess the risks of its models, following through on a commitment to increase safeguards over concerns the technology could run cata
Amid a wave of backlash, some industry-friendly groups are employing creative and time-tested strategies to woo the youth.
arXiv:2610.21040v1 Announce Type: new Abstract: Recursive Self-Improvement (RSI) has gained wide attention for its ability to work with limited data. In a proposer-solver loop, a proposer model writes
arXiv:2610.21167v1 Announce Type: new Abstract: Deep research agents are increasingly deployed to retrieve precise information from large corpora, yet multi-hop, long-horizon tasks remain challenging.
arXiv:2610.21138v1 Announce Type: new Abstract: Feedback noise is pervasive in preference data, arising from subjective human judgments, annotation mistakes, and imperfect LLM judges. Standard reward
arXiv:2610.21055v1 Announce Type: new Abstract: Recursive self-improvement, in which AI systems build stronger AI systems, is one promising route to superintelligence. We study a weaker form that can
arXiv:2610.20935v1 Announce Type: new Abstract: Engineering agents must produce artifacts that satisfy exact, coupled constraints. Existing solutions often require agents to make semantic decisions an
arXiv:2610.20960v1 Announce Type: new Abstract: Safety in agentic systems is inherently sequential: whether an action is safe depends on prior actions, tool outputs, information disclosures, and inter
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