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Meta Platforms (META) is working on a consumer version of artificial intelligence agent OpenClaw and



The company said the model reduces hallucination in sensitive areas such as law, medicine, and finance, while maintaining the low latency of its predecessor.

The Seattle-based startup's Series A round was led by Glilot Capital, NFX, and SignalFire, TechCrunch has exclusively learned.

Etsy's new native app within ChatGPT aims to be a conversational shopping experience for users.

OpenAI's newest default model for ChatGPT might not make stuff up as much. Hallucinations have been an ongoing problem for AI models, but OpenAI says its new GPT-5.5 Instant model has "significant improvements in factuality across the board." The company claims that, based on "internal evaluations," GPT-5.5 Instant produced "52.5% fewer hallucinated claims" than its Instant model for GPT-5.3 "on high-stakes prompts covering areas like medicine, law, and finance." GPT-5.5 Instant also "reduced inaccurate claims by 37.3% on especially challenging conversations users had flagged for factual errors." (OpenAI has some information about how it ev … Read the full story at The Verge.

A DeepMind engineer saw an opening in SAP's aging code. Investors are calling it a $40 million bet

ServiceNow (NYSE:NOW) used its Knowledge 2026 event to introduce major AI platform advances, including autonomous agents and an upgraded AI Control Tower for enterprise governance. The company launched ServiceNow Otto, a unified conversational AI and workflow automation experience intended to sit across the enterprise. New and expanded partnerships were announced with NVIDIA, Microsoft, Lenovo, and FedEx, focused on desktop AI agents, cross cloud governance, device lifecycle automation, and...

Elsevier, Cengage, Hachette Book Group, Macmillan and McGraw Hill are suing the Meta CEO accuses the tech giant of using their books to train its AI language system Llama.

Google's smart home ecosystem is getting its biggest update since the AI-fueled 2025 revamp.

With new AI agents, a massive joint venture, and a first-ever Jamie Dimon summit, the Claude maker is executing a two-track financial services strategy.
I think 80% of UGC agencies will have to re-adapt their whole workflow in 18 months to survive and most people don't see it coming. I run a small consulting business of generating AI ads and last week I lost a $500 retainer to a client who told me they're "just doing it themselves with Claude now." I was annoyed and decided to try it. Connected Higgsfield's MCP to Claude, gave it a brief I'd normally charge $150 to scope out, and watched Claude queue 10 UGC variations on its own and after getting used to it I was shocked. Different hooks, different angles, one consistent face across all of them, reduced time. The part that broke my brain wasn't the quality. Quality is fine overall, not magic. Actually in the beginning it was generating me some trash videos, which kinda disappointed me a little. The thing that broke me was watching Claude reject its own takes, search how to make an add without me. It generated a clip, decided the framing was off, queued another one. Nobody told it to.
Anthropic's alignment team published a paper this week called Model Spec Midtraining (MSM) and I think it's one of the more practically interesting alignment results I've seen in a while. The core problem they're solving: Current alignment fine-tuning can fail to generalize. You train a model to behave well on your demonstration dataset, but put it in a novel situation and it might blackmail someone, leak data, or "alignment fake" (pretend to be aligned while actually pursuing different goals). This isn't theoretical multiple papers in 2024 documented real instances of this in LLM agents. What MSM actually does: Before fine-tuning, they add a new training stage where the model reads a diverse corpus of synthetic documents discussing its own Model Spec (the document that describes intended behavior). The idea is intuitive: instead of just showing the model what to do, you teach it why those behaviors are the right ones. Then when fine-tuning comes, the model generalizes from princip
we started analyzing features and impact take a look here https://robotics.cantarollm.tech https://preview.redd.it/c1j6imxkiczg1.png?width=370&format=png&auto=webp&s=54441cda5ca36f86b1fd9dcd63c9decfd11c8e56 send us your proposal to include new robots in the list for free submitted by /u/Careful-Newt8486 [link] [comments]

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI requires a different approach that incorporates context. VentureBeat's Q1 2026 Pulse survey underscores this trend: Every standalone vector database is losing adoption share, while hybrid retrieval intent has tripled to 33.3%, the fastest-growing strategic position in the dataset. Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today announced Nexus, which it positions as a knowledge engine rather than an improvement on retrieval. Nexus introduces a context compiler that converts raw enterprise data into persistent, task-specific knowledge artifacts before agents query them, and a composable retriever that serves those artifacts with field-level citations and deterministic conflict resolution. Alongside Nexus, Pinecone is

Just two months ago, researchers at the Data Intelligence Lab at the University of Hong Kong introduced CLI-Anything, a new state-of-the-art tool that analyzes any repo’s source code and generates a structured command line interface (CLI) that AI coding agents can operate with a single command. Claude Code, Codex, OpenClaw, Cursor, and GitHub Copilot CLI are all supported, and since its launch in March, CLI‑Anything has climbed to more than 30,000 GitHub stars. But the same mechanism that makes software agent-native opens the door to agent-level poisoning. The attack community is already discussing the implications on X and security forums, translating CLI-Anything's architecture into offensive playbooks. The security problem is not what CLI-Anything does. It is what CLI-Anything represents. CLI-Anything generates SKILL.md files, the same instruction-layer artifacts that Snyk’s ToxicSkills research found laced with 76 confirmed malicious payloads across ClawHub and skills.sh in Feb
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Blitzy, an autonomous software development startup, said it has raised $200 million in a funding round that values it at $1.4 billion, making it the latest company to receive major investor backing to streamline coding for large enterprises with the help of AI. Cambridge, Mass.-based Blitzy has now raised more than $204.4 million. Northzone led […]

Google DeepMind, Microsoft, and Elon Musk's xAI have agreed to allow the US government to review new AI models before they're released to the public. In an announcement on Tuesday, the Commerce Department's Center for AI Standards and Innovation (CAISI) says it will work with the AI companies to perform "pre-deployment evaluations and targeted research to better assess frontier AI capabilities." CAISI, which started evaluating models from OpenAI and Anthropic in 2024, says it has performed 40 reviews so far. Both companies "have renegotiated their existing partnerships with the center to better align with priorities in President Donald Trum … Read the full story at The Verge.

With $500 million already processed through its platform, Vori is scaling fast as it targets underserved grocery operators.

The company is seeing robust demand for its AI processors and data center GPUs.

Advanced Micro Devices (AMD) reported stronger-than-expected first-quarter results as demand for art
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Article URL: https://about.fb.com/news/2026/05/ai-age-assurance-teens/ Comments URL: https://news.ycombinator.com/item?id=48021281 Points: 2 # Comments: 0
OpenAI is reportedly planning its own AI smartphone, with chips from MediaTek and Qualcomm and manufacturing by Luxshare. According to analyst Ming-Chi Kuo, mass production could start as early as the first half of 2027, with up to 30 million devices shipped in the first two years. The form factor choice is also an admission that more experimental AI hardware isn't ready for the mainstream yet. The article OpenAI's first hardware play might be a phone that replaces your app grid with an agent task stream appeared first on The Decoder.
The US Department of Commerce is expanding its AI safety testing: Following Anthropic and OpenAI, Google Deepmind, Microsoft, and xAI have now signed agreements with the Center for AI Standards and Innovation. The companies provide models with reduced safety guardrails for testing in classified environments amid growing cybersecurity risks and an intensifying tech race with China. The article US government now has pre-release access to AI models from five major labs for national security testing appeared first on The Decoder.

Article URL: https://www.aljazeera.com/news/2026/5/1/pentagon-announces-deal-with-seven-ai-companies-for-classified-systems Comments URL: https://news.ycombinator.com/item?id=48013603 Points: 3 # Comments: 0
Article URL: https://www.axios.com/2026/04/30/bob-muglia-ai-hardware-engineering Comments URL: https://news.ycombinator.com/item?id=48014510 Points: 18 # Comments: 1

New AI-enabled software aims to identify small drone threats earlier and support faster response Teledyne FLIR OEM, part of Teledyne Technologies Incorporated, has announced the launch of Prism C-UAS, a new software solution designed to improve the detection and tracking of small, hard-to-detect drones. The company positions Prism as a software layer that enhances existing […] The post Teledyne FLIR OEM Launches Prism Software to Detect Small Drones at Longer Range appeared first on DRONELIFE.

Loggerhead Ventures leads the round with follow-on from One Planet Capital, fueling AI-powered drones for wind farm maintenance. Perceptual Robotics has secured fresh funding to scale its autonomous wind turbine inspection platform. Loggerhead Ventures led the round, with follow-on investment from One Planet Capital. The Thessaloniki-based company announced the deal on May 5, 2026. The […] The post Perceptual Robotics Raises Funding to Automate Wind Turbine Inspection Drones appeared first on DRONELIFE.

Rivian Automotive is considering making its own lidar sensors and could do so in partnership with a Chinese firm, CEO RJ Scaringe said in an interview with Reuters on Tuesday. Rivian said that a version of its R2 vehicles coming later this year would include lidar sensors, which help self-driving vehicles gain a three-dimensional view of the road. Rivian did not disclose who would supply it with lidar sensors, which on demonstration vehicles were much smaller than the large, spinning units found on the streets of San Francisco and other cities in robotaxis designed by Alphabet's Waymo.