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There's an app for nearly every imaginable user and use case these days, but one thing they all have in common is that they're centered around one device: the smartphone. That changes today as Hugging Face, the 10-year-old New York City startup best known for being the go-to place online to host and use cutting-edge, open-source AI models, agents and applications, launches a new App Store for Reachy Mini, its low-cost ($299) open-source physical robot that debuted back in July 2025 (itself the fruit of Hugging Face's acquisition of another startup, Pollen Robotics). The new Hugging Face Reachy Mini App Store already hosts a library of over 200 community-built applications, and Reachy Mini owners will be able to download any of these free of charge to start (unlike smartphone apps, there's no monetization option for app creators on this store — yet). The Reachy Mini App Store will also offer Reachy Mini owners — around 10,000 units have been sold so far since last year — an easy means



The a16z-backed AI startup wants to bring the corner store experience to online shopping.

The Amazon Web Services ecosystem now has a chance to get a lot stronger.

It's not just you. Hackers and other cybercriminals are complaining about “AI shit” flooding platforms where they discuss cyberattacks and other illegal activity.

Samsung crossed the $1 trillion valuation mark after shares surged on AI-driven chip demand, making it only the second Asian company after TSMC to hit the milestone.

Match Group said that it's slowing its hiring plans for the rest of the year because AI tools "cost a lot of money."

Apple has agreed to pay $250 million to settle a class action lawsuit for overpromising the arrival of Siri's AI features.

The far-left Twitch streamer says AI is rotting our brains. He’s also addicted to Twitter and listens to at least eight podcasts.

If you bought an iPhone 15 or 16 in the US, you could be set to pocket up to $95 per device as part of the settlement.

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
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.

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.

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

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

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

Genesis AI, a startup that raised a $105 million seed round to build foundational AI for robotics, has unveiled its first model, GENE-26.5, but also a demo showcasing a set of robotic hands performing complex tasks.

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.

The autonomous driving company is moving beyond self-driving cars and into the broader world of Physical AI QCraft, one of the major providers of autonomous driving technology to OEMs, used this year’s Beijing Auto Show to unveil what it calls the QCraft Physical AI Model. This was a signal that the company sees its future […]