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Taiwan launches national robotics center with $629 million startup funding plan
Taiwan has launched a new national robotics center alongside a $629 million funding initiative aimed at accelerating the creation of domestic robotics companies, as the island seeks to strengthen its position in the global automation race. According to a report by Cryptopolitan, Taiwan’s president Lai Ching-te formally inaugurated the National Center for AI Robotics (NCAIR), […]
Vercel CEO Guillermo Rauch signals IPO readiness as AI agents fuel revenue surge
Agentic coding at enterprise scale demands spec-driven development
General AI
Why opinion on AI is so divided
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In an industry that doesn’t stand still, Stanford’s AI Index, an annual roundup of key results and trends, is a chance to take a breath. (It’s a marathon, not a sprint, after…
Want to understand the current state of AI? Check out these charts
If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise. …
Mark Zuckerberg is reportedly building an AI clone to replace him in meetings
Meta CEO Mark Zuckerberg could soon have an AI clone of himself to interact with and provide feedback to employees, according to a report from the Financial Times. Sources tell the outlet that Meta is training the AI avatar on Zuckerberg's image and voice, along with his mannerisms, tone, and public statements, "so that employees might feel more connected to the founder through interactions with it." Meta may start allowing creators to make AI avatars of themselves if the experiment with Zuckerberg succeeds, according to the Financial Times. In 2024, Meta showed off a live demo of what an AI persona of a creator might look like. It also sta … Read the full story at The Verge.
Microsoft is testing OpenClaw-like AI bots for 365 Copilot
Microsoft is looking into ways it can integrate OpenClaw-style features into 365 Copilot, according to a report from The Information. The test reportedly comes as part of efforts to make its 365 Copilot AI assistant "run autonomously around the clock" while completing tasks on behalf of users. Omar Shahine, Microsoft's corporate vice president, confirmed to The Information that the company is "exploring the potential of technologies like OpenClaw in an enterprise context." OpenClaw is an open-source platform that allows users to create AI-powered agents that run locally on a user's device. The platform rose in popularity earlier this year, … Read the full story at The Verge.
How old records and new AI technology brought growth back to Ancestry
CEO Howard Hochhauser says the site had stopped listening to its customers.
Aichi Prefecture eyes Japan's first Level 4 autonomous expressway bus service
Aichi Prefecture aims to put buses with Level 4 autonomous driving, in which a vehicle can operate without a driver under specific conditions, into practical use in fiscal 2027.
Meta Platforms Finally Releases Muse Spark. Is the AI Model Worth the Wait?
The AI arms race among Big Tech shows no signs of slowing. Companies continue to pour tens of billions of dollars into data centers, talent, and compute power, all chasing the next leap in reasoning, multimodality, and real-world usefulness. For everyday investors watching their portfolios, the stakes feel personal: Will this massive spending deliver revenue ... Meta Platforms Finally Releases Muse Spark. Is the AI Model Worth the Wait?
Apollo Expands AI Chip And Aviation Bets While Shares Trade At Discount
Apollo Global Management (NYSE:APO) has taken part in a major funding round for SiFive, a RISC V chip designer working with Nvidia on AI data center solutions. The firm is also involved in the completed $7.4b acquisition of Air Lease, now operating as Sumisho Air Lease. These moves expand Apollo's reach into both AI chip technology and aviation leasing, adding new angles to its alternative asset focus. At a share price of $104.28, Apollo Global Management gives investors exposure to a...
Trump officials may be encouraging banks to test Anthropic’s Mythos model
The report is particularly surprising since the Department of Defense recently declared Anthropic a supply-chain risk.
Five signs data drift is already undermining your security models
Data drift happens when the statistical properties of a machine learning (ML) model's input data change over time, eventually rendering its predictions less accurate. Cybersecurity professionals who rely on ML for tasks like malware detection and network threat analysis find that undetected data drift can create vulnerabilities. A model trained on old attack patterns may fail to see today's sophisticated threats. Recognizing the early signs of data drift is the first step in maintaining reliable and efficient security systems. Why data drift compromises security models ML models are trained on a snapshot of historical data. When live data no longer resembles this snapshot, the model's performance dwindles, creating a critical cybersecurity risk. A threat detection model may generate more false negatives by missing real breaches or create more false positives, leading to alert fatigue for security teams. Adversaries actively exploit this weakness. In 2024, attackers used echo-spoofing t
Amazon AI Chips Move From AWS Engine To Potential New Profit Stream
Amazon.com (NasdaqGS:AMZN) used its latest annual shareholder letter to highlight over $20b revenue run rate from its in house AI chips, including Graviton and Trainium. The company reported triple digit year over year growth in this AI chip segment and is assessing whether to sell these chips directly to external customers. Amazon also outlined plans for around $200b of capital expenditures in 2026, supported by large customer commitments in AWS. For investors, this puts Amazon's AI chip...
Building the first AI Red Team OS – mythosai.cloud – early access open
Article URL: https://mythosai.cloud/ Comments URL: https://news.ycombinator.com/item?id=47740401 Points: 1 # Comments: 0
SoftBank, others set up new firm to develop high-performance AI
Engineers from SoftBank and Tokyo-based AI developer Preferred Networks Inc. are expected to participate in the development.
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
TSMC, the world's largest manufacturer of advanced artificial intelligence chips, will likely notch up a fourth consecutive quarter of record earnings with a 50% surge in net profit for January-March thanks to booming demand for AI infrastructure. Analysts say that demand for Taiwan Semiconductor Manufacturing Co's 3-nanometre technology to produce AI chips and its advanced packaging technology continues to outstrip the firm's current production capacity. Its market capitalisation is now nearly double that of South Korean rival Samsung Electronics at around $1.6 trillion.
HTNav: A Hybrid Navigation Framework with Tiered Structure for Urban Aerial Vision-and-Language Navigation
arXiv:2604.08883v1 Announce Type: new Abstract: Inspired by the general Vision-and-Language Navigation (VLN) task, aerial VLN has attracted widespread attention, owing to its significant practical value in applications such as logistics delivery and urban inspection. However, existing methods face several challenges in complex urban environments, including insufficient generalization to unseen scenes, suboptimal performance in long-range path planning, and inadequate understanding of spatial continuity. To address these challenges, we propose HTNav, a new collaborative navigation framework that integrates Imitation Learning (IL) and Reinforcement Learning (RL) within a hybrid IL-RL framework. This framework adopts a staged training mechanism to ensure the stability of the basic navigation strategy while enhancing its environmental exploration capability. By integrating a tiered decision-making mechanism, it achieves collaborative interaction between macro-level path planning and fine-
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Claude now works across all three major Office apps
Anthropic already offered Claude add-ins for Excel and PowerPoint. Now the company is rounding out its Microsoft Office integration with a Word add-in. The article Claude now works across all three major Office apps appeared first on The Decoder.
AI Agents Are Coming for Your Dating Life
The developers of Pixel Societies are using AI agents to simulate social interactions. It's an attempt optimize the process of choosing new colleagues, friends, and even romantic partners.
Enterprises power agentic workflows in Cloudflare Agent Cloud with OpenAI
Cloudflare brings OpenAI’s GPT-5.4 and Codex to Agent Cloud, enabling enterprises to build, deploy, and scale AI agents for real-world tasks with speed and security.
Blazing hot IPOs, an AI agent craze, and a new word for ‘token’: Here’s what’s happening in the world of Chinese AI
China hopes to build a “token economy,” backed by open-source models and real-world AI applications—even as U.S. export controls still hold things back.
Your developers are already running AI locally: Why on-device inference is the CISO’s new blind spot
For the last 18 months, the CISO playbook for generative AI has been relatively simple: Control the browser. Security teams tightened cloud access security broker (CASB) policies, blocked or monitored traffic to well-known AI endpoints, and routed usage through sanctioned gateways. The operating model was clear: If sensitive data leaves the network for an external API call, we can observe it, log it, and stop it. But that model is starting to break. A quiet hardware shift is pushing large language model (LLM) usage off the network and onto the endpoint. Call it Shadow AI 2.0, or the “bring your own model” (BYOM) era: Employees running capable models locally on laptops, offline, with no API calls and no obvious network signature. The governance conversation is still framed as “data exfiltration to the cloud,” but the more immediate enterprise risk is increasingly “unvetted inference inside the device." When inference happens locally, traditional data loss prevention (DLP) doesn’t see th
State of AI: April 2026 newsletter
US Government blacklists Anthropic as Iran bombs AWS data centers. Plus: $19B revenue in weeks, industrial-scale distillation wars, and an mRNA dog cancer vaccine designed by ChatGPT.
LRTS – Regression testing for LLM prompts (open source, local-first)
Article URL: https://github.com/rufus-SD/lrts Comments URL: https://news.ycombinator.com/item?id=47739332 Points: 1 # Comments: 0
OpenAI employee tries to explain usage limits of the new ChatGPT Pro plans
OpenAI recently added a $100 plan to its lineup, but confusing labels on the pricing page left users guessing about actual usage limits. An OpenAI employee tried to clear things up. The article OpenAI employee tries to explain usage limits of the new ChatGPT Pro plans appeared first on The Decoder.
V-CAGE: Vision-Closed-Loop Agentic Generation Engine for Robotic Manipulation
arXiv:2604.09036v1 Announce Type: new Abstract: Scaling Vision-Language-Action (VLA) models requires massive datasets that are both semantically coherent and physically feasible. However, existing scene generation methods often lack context-awareness, making it difficult to synthesize high-fidelity environments embedded with rich semantic information, frequently resulting in unreachable target positions that cause tasks to fail prematurely. We present V-CAGE (Vision-Closed-loop Agentic Generation Engine), an agentic framework for autonomous robotic data synthesis. Unlike traditional scripted pipelines, V-CAGE operates as an embodied agentic system, leveraging foundation models to bridge high-level semantic reasoning with low-level physical interaction. Specifically, we introduce Inpainting-Guided Scene Construction to systematically arrange context-aware layouts, ensuring that the generated scenes are both semantically structured and kinematically reachable. To ensure trajectory corre
AssemLM: Spatial Reasoning Multimodal Large Language Models for Robotic Assembly
arXiv:2604.08983v1 Announce Type: new Abstract: Spatial reasoning is a fundamental capability for embodied intelligence, especially for fine-grained manipulation tasks such as robotic assembly. While recent vision-language models (VLMs) exhibit preliminary spatial awareness, they largely rely on coarse 2D perception and lack the ability to perform accurate reasoning over 3D geometry, which is crucial for precise assembly operations. To address this limitation, we propose AssemLM, a spatial multimodal large language model tailored for robotic assembly. AssemLM integrates assembly manuals, point clouds, and textual instructions to reason about and predict task-critical 6D assembly poses, enabling explicit geometric understanding throughout the assembly process. To effectively bridge raw 3D perception and high-level reasoning, we adopt a specialized point cloud encoder to capture fine-grained geometric and rotational features, which are then integrated into the multimodal language model
Robotics
Amazon Is Building Robots, Satellites, and AI Chips. Is It the Only Stock You Need to Own?
Amazon is involved in diverse businesses, but does that mean investment diversity?
Online Intention Prediction via Control-Informed Learning
arXiv:2604.09303v1 Announce Type: new Abstract: This paper presents an online intention prediction framework for estimating the goal state of autonomous systems in real time, even when intention is time-varying, and system dynamics or objectives include unknown parameters. The problem is formulated as an inverse optimal control / inverse reinforcement learning task, with the intention treated as a parameter in the objective. A shifting horizon strategy discounts outdated information, while online control-informed learning enables efficient gradient computation and online parameter updates. Simulations under varying noise levels and hardware experiments on a quadrotor drone demonstrate that the proposed approach achieves accurate, adaptive intention prediction in complex environments.