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The Ten Minute Fix for AI That Keeps Forgetting Who You Are
Here is a small, annoying pattern most of us fall into with AI chat tools.Continue reading on Medium »
Deep Learning: The Secret Behind Future Technology That Mimics Our Brains
Deep LearningContinue reading on Medium »
This NAS company wants to run your local smart home
Ugreen’s HomeAgent H100 Pro hub combines local storage, on-device AI, and a new voice assistant, Uliya, to run your smart home. | Photo by Jennifer Pattison Tuohy / The Verge Ugreen, known for its phone power banks, chargers, and NAS storage solutions, is moving into the smart home - in a big way. This week at the IFA tech show, the company launched its HomeAgent smart home platform that combines security camera storage, on-device AI, and smart home control in one system, managed by a voice assistant called Uliya, with the promise that everything runs locally. At the core of Ugreen's HomeAgent system is a hub that acts as the brain of your smart home, running a local-first AI (with some caveats) that you can interact with using natural language via Uliya. There are three hub configurations to choose from, each … Read the full story at The Verge.
Exploring the Moon will require rovers that can think for themselves – an upcoming NASA mission will test whether they can
By Wanjiku Chebet Kanjumba, University of Florida NASA is planning to send three small rovers to the Moon with a single instruction: Work out among yourselves how to explore a patch of ground. The Cooperative Autonomous Distributed Robotic Exploration mission, or CADRE, will land on the side of the Moon facing Earth as part of [ ]
Carbon-aware electricity pricing, measured daily on 38 grids
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Investing Basics Every Developer Should Know Before Their First Big Paycheck
You spent months grinding LeetCode, surviving system design interviews, and negotiating your offer. Then the first paycheck lands bigger Continue reading on Medium »
Build a Spam Message Classifier Using NLP and Machine Learning
Have you ever received a message saying:Continue reading on Medium »
Lexar’s Muse is an ultra-slim portable SSD that’s less than 4mm thick
Following the lead of companies like Xteink, Lexar is the latest to sacrifice a USB-C port in the pursuit of slimming down its hardware. When the Lexar Muse Ultra-Slim Portable SSD launches later this year in 512GB and 1TB capacities it will be one of the slimmest you can buy. At its thickest point in the middle it measures just 3.8mm, but that tapers to only 1mm at the edges thanks to high-density NAND stacking and a "custom ultra-thin PCB architecture" inside. But performance remains solid with read speeds up to 1,050MB/s and write speeds maxing out at 1,000MB/s. That's fast enough to record 4K Apple ProRes video at up to 120fps when conn … Read the full story at The Verge.
Decision Rights in an Agentic Organisation
As a leader, are you confident you know who owns every decision your AI systems make? Someone always makes the call. The question is Continue reading on Medium »
GPT-6 Astra Is Where the Chatbot Metaphor Starts to Break
The model that moves from answering to doing.Continue reading on Medium »
The sameness problem behind those unappetizing AI-generated menus
While restaurant owners might look to generative AI as a shortcut to sprucing up their menu, customers can viscerally sense that something is wrong with the food.
MasterControl Seventeen Every Time
arXiv:2609.03209v1 Announce Type: new Abstract: We study a governed approach to enterprise analytics: a language model interprets the question, while deterministic policy selects and runs a pre-approved analytical program that returns both results and evidence. We show that this restriction can remain expressive within a defined analytical class, using relational operations plus aggregation, comparison, windows, ranking, and similarity. Fixed meaning, policy, data, and execution rules also make results replayable. Across 440 runs, three 8B models generated SQL and selected tools at runtime, while Qwen3-8B interpreted intent only and policy executed the approved program. None of 330 runtime-planning episodes matched the full answer-and-evidence contract across all test datasets; the policy-executed analyzer matched 110 of 110. This is a configuration-specific result, not evidence that runtime agents cannot succeed under other designs.