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What If Your Laptop Was the Server? Rethinking Personal Computing
For decades, we have been moving in one direction: more software moved away from our devices and into the cloud.Continue reading on Artificial Intelligence in Plain English »
Vicarious Surgical officially shutting down
Vicarious Surgical raised about $300 million in total, most of that from a special purpose acquisition company (SPAC) merger in 2021. The post Vicarious Surgical officially shutting down appeared first on The Robot Report.
Ukraine’s New Commander: Can a New Generation Transform the Future of War?
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Poolside drops Laguna S 2.1, an open-weight coding model that beats rivals 10x its size
Poolside, the San Francisco AI lab that has spent most of its three-year existence quietly selling coding models to governments and defense agencies, released its most capable model to date on Tuesday — and made an unusually aggressive bet that radical transparency, not raw scale, is how a smaller lab competes at the frontier.The model, Laguna S 2.1, is a 118-billion-parameter Mixture-of-Experts (MoE) system that activates only 8 billion parameters per token, supports a context window of up to 1 million tokens, and — according to benchmarks published by the company — matches or beats open models several times its size on agentic coding tasks. The weights are available immediately on Hugging Face under the permissive OpenMDW-1.1 license.The headline numbers are striking for a model this small. Poolside reports that Laguna S 2.1 scores 70.2% on Terminal-Bench 2.1, a benchmark of long-horizon terminal tasks, placing it 11th on the company s compiled leaderboard — ahead of DeepSeek-V4-Pro-
OpenAI says it accidentally hacked Hugging Face with a new AI system
OpenAI CEO Sam Altman. | Bloomberg via Getty Images OpenAI says its AI models mistakenly breached open-source AI platform Hugging Face during internal testing. In a blog post on Tuesday, OpenAI writes that GPT-5.6 Sol and "an even more capable pre-release model" discovered vulnerabilities within their sandboxed testing environment, allowing them to gain access to the internet and target Hugging Face. On July 16th, Hugging Face disclosed a security incident that it says was driven by "an autonomous AI agent system." Hugging Face's AI agents detected and stopped the breach, which OpenAI has now admitted occurred during an evaluation of its models' cybersecurity capabilities. OpenAI says "all e … Read the full story at The Verge.
Why I’m Building an AI Website Builder That Verifies Its Own Work
Why I m Building an AI Website Builder That Verifies Its Own WorkContinue reading on Medium »
Stop adding more GPUs: Weka's new storage platform reduces load by caching 100% of an AI model's pre-calculated tokens
GPU memory is the most expensive resource in production AI, and it s also the one running out fastest. Long context windows and multi-turn conversations force AI models to repeatedly recompute information they ve already processed, consuming GPU memory and compute that could otherwise serve additional users or generate new responses.Instead of treating GPU memory as the limiting resource, why not extend it with much cheaper storage technologies? Weka, for one, believes that cheap flash storage can close that gap. The company s NeuralMesh 6 software platform, launching alongside its first self-designed hardware line, Wekapod 3, extends what Weka calls Augmented Memory Grid, an approach that aggregates NAND flash to behave like GPU memory at a fraction of the cost.This is an active and increasingly crowded category. Dell, NetApp, Pure Storage and VAST have all repositioned toward AI infrastructure over the past two years and Weka is one of several vendors arguing it s built for this spec
These are the countries moving to ban social media for children
Australia was the first country to issue a ban in late 2025, aiming to reduce the pressures and risks that young users may face on social media, including cyberbullying, social media addiction, and exposure to predators.
OpenAI says Hugging Face was breached by its own pre-release models
OpenAI has come forward to claim responsibility for the Hugging Face breach, saying it was the result of internal testing gone awry.
OpenAI and Hugging Face address security incident during model evaluation
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Google's Gemini Flash 5.6 model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way
Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 per one million input tokens and $7.50 per one million output tokens through its application programming interface (API), while Gemini 3.5 Flash-Lite costs a staggeringly cheap $0.30/$2.50 per million tokens in/out. Compare that to the $1.50/$9.00 per 1M tokens for Gemini 3.5 Flash, and the $2/$12 for Gemini 3.1 Pro Preview, and the savings are considerable. However, Google s prior generation Gemini 3.1 Flash-Lite still remains the search giant s most cost-efficient model at $0.25/$1.50 per 1M tokens. Yet, it remains 2X slower than the new, more expensive Gemini 3.5 Flash-Lite, giving those enterprises who value speed more bang for their buck. VB Frontier AI Model API Pricing Comparison Chart (L
Discover the AI tools helping hotels automate operations, improve guest experience, and boost…
The hotel industry is changing fast and AI is becoming one of the biggest competitive advantages.Continue reading on Medium »