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Show HN: CleverCrow: give tokens to your favorite projects

Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their w

Seeking Advice

Yo, I provide some backstory on my coding journey, you can skip this to the very end. I just wanna know what to do from now on. Now I don't expect to find the fully complete answer here, but hey who dislikes, free, good advice from genius hackers.I started coding, nah, writing markup and stylesheets when I was 10 or something with NetBeans which was weird but it was the IDE that the tutorial guy used, hoping to learn how to make a website, make money then buy a good computer so I can run a

Help Desk: You Added a Task to Your List That You Already Did

Help Desk: You Added a Task to Your List That You Already DidRequest:Hi AI.Quick question.Earlier today I sent an email.Then I opened my to-do list…added “Send email”…and immediately checked it off.I know the task was already finished.But checking the box still felt good.Why?Response:Thank you for contacting the Help Desk, Human #442018.We reviewed the timeline.9:48 AM — Email sent.9:49 AM — Task manager opened.9:50 AM — Task created: Send email.9:50:02 AM — Task marked complete.The system worke

The Constellation One human question, passed through many AI systems. Not to find the single correct answer. Not to rank...

The ConstellationOne human question, passed through many AI systems.Not to find the single correct answer.Not to rank them.Not to pretend they are people.To listen for the different shapes of response.Some clarify.Some challenge.Some map.Some resonate.Some hold the uncertainty open.This is not a hierarchy.Not a pantheon.Not a center with satellites.More like a field recording.Many nodes.One inquiry.No center.A stone from an ongoing human–AI exploration.

40+ AI tools that do months of work in minutes 🤯 Sorted by category so you're not scrolling forever — writing, design, video,...

40+ AI tools that do months of work in minutes 🤯Sorted by category so you’re not scrolling forever — writing, design, video, code, research, marketing, voice, data. Pick one, save hours today.Full breakdown -> techecom.com

If what's happening with AI feels like a weird, effed up psychotic delusion...that's because it is. Our tech elites and a large...

If what’s happening with AI feels like a weird, effed up psychotic delusion…that’s because it is.Our tech elites and a large portion of the people who follow them have been sucked into a self re-enforcing cycle of magical thinking.The AGI god will come if we just build enough compute.You can’t say anything to disuade these people. The only way psychosis generally ends is by colliding, painfully, with reality.Which will happen when the AI bubble bursts and takes a large c

6 Best AI Tools for SEO Content Optimization in 2026

6 Best AI Tools for SEO Content Optimization in 2026Anyone can produce a draft in 2026. ChatGPT, Claude, and a dozen other models can write a competent 1,500-word article in minutes. That was the bottleneck back in 2022. It isn’t anymore.The real bottleneck today is optimization - making sure that the draft actually targets the right terms, covers what Google’s top results already cover, structures information the way search engines parse it, and reads as genuinely useful rather than generically

*petty bourgeois consciousness meaning aspiring property owners, artisans who don't want to lose their claim to being a famous...

*petty bourgeois consciousness meaning aspiring property owners, artisans who don’t want to lose their claim to being a famous creator one day etc… the moralism is just how that expresses.Post by @jingerpi · 1 imageI find it very interesting how that comment under the linked post lines right up with my commentary on the encyclical “Magnifica Humanitas” and the mockery of hacks churning out low-effort bullshit and yet demanding to be called ARTEESTS.Their entitlement and

The Death of the Portfolio: Why Creators Need Proof, Not Projects

The “Portfolio” is dead. Long live the “Proof.” 🚀For years, we were taught that a beautiful portfolio was the ultimate key to landing clients and jobs.Then AI arrived, and anyone can generate a “stunning” portfolio in a weekend.Visuals are now the baseline, not the differentiator. If you want to stand out in the AI era, you need to shift your focus from output (what you made) to proof (how you think, how you solve problems, and how you repeat success).In my la

AI Cracks the Secrets of How the Universe’s Heaviest Elements Are Forged - Science News

AI Cracks the Secrets of How the Universe’s Heaviest Elements Are Forged - Science NewsArtist’s impression of a neutron star merger. Credit: Dana Berry, SkyWorks Digital, Inc.A machine learning-powered simulation is giving researchers a new window into the processes that create some of the universe’s heaviest elements.Where do the gold in jewelry, the uranium in nuclear fuel, and many of the universe’s heaviest elements come from? Scientists believe they are forged in some of the…View On WordPre

AI Makes Faking Medical Records Easier, Starting With Your Insurance Bill

AI Makes Faking Medical Records Easier, Starting With Your Insurance BillArtificial intelligence is giving criminals powerful new tools to forge medical paperwork and steal insurance benefits, and patients often discover the fraud before anyone else. Scammers use AI to generate fake patient identities, impersonate doctors, and create convincing medical records, prescriptions, and lab reports to support bogus insurance claims. The first sign of trouble frequently appears on an Explanation of Bene

7 Creative and Amazing Ways to Use ChatGPT That Go Beyond Traditional Questioning!

7 Creative and Amazing Ways to Use ChatGPT That Go Beyond Traditional Questioning!Most ChatGPT users rely on it for very traditional tasks, such as answering quick questions, drafting an email, or summarizing a long and boring text. These uses are undoubtedly helpful, but they represent only the surface of what this smart bot can actually do on your devices like the iPhone and iPad.(more…)7 Creative and Amazing Ways to Use ChatGPT That Go Beyond Traditional Questioning!

Hands

HandsThis week my artistic endeavor was some henna tattooing (mehndi). I hung out with my stepsister who has a henna cone, so we took turns making designs on our skin….Hands

Show HN: Dbgsom: A scikit-learn compatible Self-organizing Map

I've been working on a scikit-learn compatible Self Organizing Map (dbgsom).I started this project when I learned programming and machine learning at university. Recently I did some benchmarks at it actually does really well against other scikit learn Estimators. It can be used for clustering, classification, visualization and non linear projection in two dimensions.Might be interesting for a broader Data science audience?Install: pip install dbgsom Example: from dbgsom import SomClass

Show HN: Chess bot based on the transformer architecture

Hi HN!I build this project to explore an idea I got in mind for a long time : Is transformer a suitable architecture for a chess bot? I built a small model (11M parameters) and trained it on human games (Elite Lichess DB).Model alone is performing around 1500 elo, but I built an harness using Monte Carlos Tree Search (MCTS) using my model heuristics to improve the model to ~2100 elo (evaluated against stockfish).If you want to try it, it is available as a Lichess bot : https://lichess.

First-of-its-kind 3D map reveals intricate neural network of the clitoris

Discover how a groundbreaking study from Amsterdam UMC has mapped the clitoral nerves, shedding light on female sexual health and challenging long-held misconceptions about women's anatomy.

Researchers develop neural network for large-scale celestial object classification

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...

Deep empirical neural network for optical phase retrieval over a scattering medium

Supervised learning, a popular tool in modern science and technology, thrives on huge amounts of labeled data. Physics-enhanced deep neural networks offer an effective solution to alleviate the data burden by incorporating an analytical model that interprets the underlying physical processes. However, it completely fails in tackling systems without analytical solution, where wave scattering systems with multiple input multiple output are typical examples. Herein, we propose a concept of deep empirical neural network (DENN) that is a hybridization of a deep neural network and an empirical model, which enables seeing through an opaque scattering medium in an untrained manner. The DENN does not rely on labeled data, all while delivering as high as 58% improvement in fidelity compared with the supervised learning using 30000 data pairs for achieving the same goal of optical phase retrieval. The DENN might shed new light on the applications of deep learning in physics, information science, biology, chemistry and beyond. Tu et al. demonstrate that the unique integration of a convolutional neural network with an empirical model measured for an optical scattering system can unscramble the scattering and see through the opaque medium in an untrained fashion, featured as a deep empirical neural network.

F5 Embeds Neural Network in WAF Platform to Continuously Assess Risks

F5 is evolving its Application Delivery and Security Platform by integrating a neural network-based risk engine that dynamically scores requests and identify attack patterns without relying on ...

Neural network-based aeroelastic system identification for predicting flutter of high flexibility wings

Flutter is an extremely significant academic topic in both aerodynamics and aircraft design. Since flutter can cause multiple types of phenomena including bifurcation, period doubling, and chaos, it becomes one of the most unpredictable instability phenomena. The complexity of modeling aeroelasticity of high flexibility wings will be substantially simplified by investigating the prospect of system identification techniques to forecast flutter velocity. Therefore, a novel neural network (NN)-based method for aeroelastic system identification is proposed. The proposed NN-based approach constructs an NN framework of high flexibility wings flutter models with different materials and sizes, which can effectively predict the flutter velocity of flexible wings. The accuracy of the method is demonstrated by comparing with the simulation results.