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The insights section of the Threads app now surfaces AI summaries and contextual info about post performance.

The EU continues to go after Google search practices it sees as anticompetitive.

A landmark announcement by the frontier AI lab has been overshadowed by accusations of impropriety.

Trump admin's propaganda "arcade" hits some apparent legal limits.

submitted by /u/AlternativeGuava5577 [link] [留言]

3D-printed aluminum eggshell arrays filled with water proved more effective at impact resistance.

Google Cloud expands its enterprise AI push with Accenture, betting on forward-deployed engineers to drive adoption and overcome deployment bottlenecks.

I always wanted to create little neural networks but never had a cool project idea and now with the help of LLMs I was able to create little agents that run as shaders and learn how to move around with their sense and collect and eat food, they can also push each other around and send signals to each other and have very primitive basic memory. Decided it be fun to run this all the time as a long running experiment as my desktop background and so I can interact by feeding them a bit of food once in awhile. lol Nothing ground breaking, but it is a fun way to have a weird ecology survival experiment, evolutionary mayhem unfolding on my desktop while I watch YouTube lol. What do you all think of this madness? submitted by /u/Maxwell10206 [link] [留言]

After shining the spotlight on The Legend of Zelda, Nintendo will focus on other games in its second Direct for around 45 minutes.

The Tesla Cybercab is notable for what it lacks, namely a steering wheel and pedal. By design, there is no way for this vehicle to be manually controlled - or so we thought. Less than a week after the Cybercab was officially launched in Austin, Texas, some riders have discovered the Cybercab's secret manual controls […]

Blast your opponents in 1v1 arcade space battles like it's 1992 all over again.

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The White House has taken down its racist Tetris ripoff days after launching a website dedicated to "arcade games," as spotted earlier by Kotaku. The Tetris clone, called "Build the Wall," involved stacking different-sized blocks to prevent a "zombie border siege." It's not clear why the White House removed the title, though the Tetris Company […]

Nearly any TV is suitable for 4K content, but spending more gets you a better viewing experience and several other advantages.

The competition is “absolutely welcome” by the pioneering Korean giant, but Samsung warns that the device’s “weight” is crucial.

I Used Every AI Coding Assistant I Could Find for a Month. Here's What I Actually Pay For Now Note: this is the fourth post in an ongoing series where our small editorial team tests AI tools in real workflows and writes down what we find. No affiliate links. No "sponsored by" disclaimers to hide. We pay for the tools we review, including this month's experiment, which cost us about $190 in subscriptions and a fair amount of patience. The setup I spent most of August and September doing the same two jobs across eight AI coding tools: building a small internal dashboard (React + a Node API) and maintaining an older Python service at work. Same tasks, same files, same me. The tools were GitHub Copilot, Cursor, Codeium, Tabnine, Replit AI, v0, Bolt, and Lovable. Why those eight? Because those are the ones people actually argue about in our developer group chats — and the ones a colleague keeps asking me to "just try already." I also wanted to answer one question that none of the marketing pages answer: what happens after the first week, when the novelty wears off and the tool has to earn its place in a daily workflow? Quick background so you know where I'm coming from: I'm a working developer, not a journalist. Ten years mostly backend, some frontend when I have to. I'm skeptical of anything that promises to write my code for me, and I've been burned before by autocomplete that produces confident nonsense. The short version If you only take one thing from this: Copilot is still the safest default, Cursor is the most capable if you'll actually use its chat properly, and the no-code app builders (Bolt, Lovable, v0) are not for me — but they're genuinely impressive for people who don't live in an IDE. Everything below is the longer version with the boring details, including the stuff that surprised me. GitHub Copilot: the boring, reliable choice I started with Copilot because it's what most of my team already had. The completions are fast and mostly invisible — which is th

Before you read this I want to express that this is my first blog ever and I have no previous experience of writing blogs How it was decided I wanted to make something truly fascinating as a gift for my sister. She inspired me to start coding, and so I decided that I will build an Operating System for her. This was going to be hard so I decided that it was also going to be something I would work on after gifting it. And then began Project Leviathan What I chose I first took a look at the available options, I could try archiso which was nice to try but for me it wasn't something I would want to consider as mine. On the other end, trying to build a kernel, initramfs, and other core components of an OS all by myself was beyond what I could build in a week. So it was decided, using the linux kernel, but building the tty, drivers, graphics, and others by myself basically a Linux Distribution First steps First I began researching on what I really needed to build a Linux Distribution. For most of the research of it I used chatgpt. And even more importantly, I had to learn C. I settled with the basics, pointers, and other stuff. And then it began, I started with a simple directory and grub configurations along with MY own linux-6.8.0-138-generic kernel, so that grub would find and detect it. The TTY(TeleTypewriter) Since pretty much every part of it was still from my ubuntu installation, the first TTY was just a Busybox shell provided by my installation. But of course I had to change it. I started with a simple virtual TTY with just echo and cat, according to me quite a important feature. After quite a bit I got it working, and therefore had my first ever TTY. It still worked on busybox but the TTY only worked with my commands. Soon enough I removed Busybox entirely and at added other essential commands such as ls, rm, copy, mkdir, and pwd. The first graphics stack Since most of my TTY was done, I figured it was a good time to get started on the graphics stack. First it sta

https://preview.redd.it/n3dg9b8xgboh1.png?width=766&format=png&auto=webp&s=b93cb48811cb21df21fafdfa082a202ef3a306ba So, I asked Gemini questions about a game, and it answered this. Is that a bug or what? Later when I asked about that, the response is: That was a typo on my part! It is not a real word. I meant to type "dismantle," as in: the Fallen Empire will demand that you dismantle your outpost and abandon the system. Thank you for catching that! Why is it behaving like this? submitted by /u/senopatip [link] [留言]

Introduction In this project, I set out to analyze a dataset of products listed on Jumia, one of Africa's leading e-commerce platforms, with the goal of understanding how pricing strategies, discounts, and customer reviews influence overall product performance. Using Microsoft Excel, I cleaned and prepared the raw dataset, engineered new features to categorize products, ran correlation and trend analyses to uncover relationships in the data, and ultimately built an interactive dashboard to present the findings in a clear, business friendly format. The objective was not just to explore the numbers, but to answer practical business questions: Do bigger discounts actually drive more customer engagement? Does price influence how a product is rated? Which products are genuinely performing well, and which ones might need a different pricing or marketing approach? This article breaks down the full process behind how I turned raw data into a finished report from initial data cleaning to the creation of an interactive dashboard. The following is the uncleaned data(original dataset) Data Set Overview. The dataset contains information about products listed on Jumia with the following columns: • Product: Name of the product. • Current Price: The current selling price of the product (in KSh). • Old Price: The original price before discount (in KSh). • Discount: The percentage discount offered on the product. • Review: The number of customer reviews received by the product. • Rating: The average customer rating of the product (out of 5). Data Cleaning and Preparation On a separate sheet after copy pasting the original data set I had to ensure there was no any present duplicate in the dataset. Now that I had removed any duplicates that was present, next process was changing the cell format for each column from General to the appropriate data type i.e. Text for product names, Currency for prices, Percentage for Discount and Number for ratings and reviews. Next, I used Find and Repl

OpenSparrow v3.6 adds an External API module that lets admins expose table data to external services through read-only, encrypted API keys. Each key is bound to a single table with a fixed column set, server-side filters and a row limit, and is served by a sessionless JSON endpoint that accepts nothing from the client except the key itself. Below is a breakdown of what changed and why it matters. External API module A new Admin → System → API tab lets admins define read-only API keys. Each definition is bound to one schema table, a chosen set of columns, fixed server-side filters and a row limit, so the data an external service can see is decided entirely by the admin — never by the caller. Keys are stored encrypted ( key_enc ) plus an HMAC key_hash for constant-time lookup, and are never returned to the browser after generation A new or regenerated key is generated server-side and shown exactly once in a modal Filter values are type-checked against the column's schema type on save, so a stored filter can't 500 at query time A sessionless JSON endpoint public/api/external.php is the single endpoint. External services authenticate with an Authorization: Bearer <key> header and receive JSON rows. The endpoint accepts no table, column or filter names from the client — everything comes from the config Hidden and system ( spw_ ) tables are refused, both on save and at request time Rate limiting is enforced per key and per IP, answering 429 with a Retry-After header Responses are 401 (missing/bad key), 403 (disabled), 404 (configured table gone) and 429 (rate limited) Usage statistics A new spw_external_api_log table records each successful request — API, table, rows returned and duration — with a stats/log view and a purge action in the admin module, so you can see exactly how your keys are being used. Changed includes/db.php gained sys_table_prefix() / is_system_table() helpers so the endpoint can refuse system tables. includes/crypto.php gained secret_hash() (HMAC-SHA2