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This article explores the potential implications of AI systems participating in cryptocurrency trading against human traders. It discusses concerns around AI-driven market manipulation and the risks of an AI-dominated cryptocurrency landscape.

The article discusses the problem of climate change, highlighting its impact on the environment and the need for immediate action to address this pressing issue. It emphasizes the importance of individual and collective efforts to mitigate the effects of climate change and promote sustainability.

This article provides a comprehensive guide on the Build Your Own Cloud (BYOC) approach, highlighting the benefits, challenges, and best practices for organizations looking to create their own cloud infrastructure. It covers key topics such as cloud architecture, security, and cost optimization.

NanoStorage is a lightweight, open-source data storage solution that provides a simple and efficient way to store and manage data on the file system. It offers a simple API, automatic serialization, and support for various data types.

I built claw-daw: a tiny MIDI DAW you can drive from the terminal (TUI + headless scripts).

Motivation: I wanted “music making that feels like coding” — reproducible, diffable, and automation-friendly. Same script + same seed → same beat.

Features:

• offline (FluidSynth + SoundFont) + ffmpeg export • deterministic renders for iteration/agent pipelines • WAV/MP3/MIDI export • projects are JSON (Git-friendly) Would love feedback on the workflow + what features would make this actually useful for you.

The article discusses the rise of prediction markets, such as Polymarket and Kalshi, which allow users to bet on the outcomes of future events. These platforms have faced regulatory challenges as authorities grapple with how to classify and regulate these emerging financial technologies.

Rentahuman.ai is an AI-powered platform that connects individuals with virtual assistants, offering a range of services including administrative support, research, and content creation. The platform leverages artificial intelligence and machine learning to provide personalized, on-demand assistance to users.

If a tree falls in the forest and there is no one there to see it. Hear it. Many of us still feel it. And when the machinery felling trees, rivers and forests are big and powerful. Seemingly unstoppable, how can we earthlings hold this loss, hold this grief and pain, turn it into resilience and show up for earth, water and life? As a fellow earthling and human I have heard the earths calling deep within my being. And this space is my way of responding. To help others hear this calling, cutting through the noise coming from within and without.

The article examines the effects of a new medication on patients with a specific condition. It presents the results of a clinical trial that evaluated the drug's efficacy and safety, providing insights that could inform future treatment approaches.

Give it your best shot. How close did you get?

1. Number of people living in Greenland in 2024?

2. Total number of career points of Michael Jordan in the NBA?

3. How many words are in the original Harry Potter book series (all 7 books)?

The article examines the ongoing debate around the use of ChatGPT, an advanced language model, in academic settings. It discusses concerns over potential academic dishonesty and the need for educational institutions to adapt to the changing technological landscape.

Rencom AI is an AI-powered platform that provides personalized recommendations for products and services based on user preferences and behavior. The platform utilizes machine learning algorithms to analyze user data and generate tailored recommendations to enhance the user experience.

The article discusses the launch of Lapcats, a new software company that aims to revolutionize the way people use computers. It highlights the company's focus on developing innovative and user-friendly software products for both personal and business use.

The article discusses the January 2026 update for Easel Games, which includes new features like expanded multiplayer options, improved user interface, and additional content and gameplay modes. The update aims to enhance the overall user experience and provide more engaging and diverse gaming experiences for players.

The article discusses the relationship between God and machine learning, exploring the philosophical and theological implications of AI systems that can learn and make decisions. It examines the potential for machine learning to challenge traditional notions of divinity and human agency.

This article discusses an incident where an ICE protester claims that her Global Entry status was revoked after an agent scanned her face at a border crossing, raising concerns about the use of facial recognition technology and its potential impact on civil liberties.

The article discusses A.E. Housman's 1892 lecture, in which he argues for the importance of studying classical languages and literature, emphasizing the value of understanding the original texts and the insights they offer into the human condition.

The article discusses efficient methods for converting floating-point numbers to strings, including a fast algorithm that can be up to 20 times faster than standard approaches. It compares the performance of various techniques and provides insights for developers who need to perform this common operation.

I just built a pattern-matching neural network with zero IEEE 754 floats. All arithmetic uses integer ratios (5/8 instead of 0.625), compared via cross-multiplication. No infinity anywhere. The key feature: when confidence is below threshold, it returns "I don't know" instead of hallucinating an answer. Tested on medical diagnosis (1179 diseases) — 50% correct, 20% wrong-but-related, 30% honest "I don't know".

Core ideas:

Every operation costs "budget" — network dies before seeing everything Confidence is Ratio(n,d), not float — division only for human display Rare symptoms weighted higher (entropy from information theory) 500 lines of Rust, formal spec in Coq (44 files)

Emerged from a critique of Pascal's Wager: what if observation itself has finite cost?

Oh, and it runs on CPU, not GPU. And it runs fast as hell. How? That's a bit of a mystery for me too...

However, what's most important is that it is inherently capable of saying "well, I dunno...".

no binary dictate of YES or NO. there is always an option to chose UNCERTAINTY. and there is nothing more natural than uncertainty in real life.

well, in there repository, you will not only find the network but also a hefty collection of coq files that define the ontology of finitiary math I have written with ai during my long stay in hospital bed with cancer. cancer is receding, code is compiling, and the network is learning. try it out.

I had 200+ links saved in WhatsApp messages to myself. Never looked at them again. Built Nutkin to solve this: save any link to Telegram, AI auto-sorts it into playlists (recipes → Cooking, articles → Learning, videos → Watch Later), browse as visual feeds, share playlists with real-time sync. Core mechanic:

Save link → Claude Sonnet 4.5 analyzes → auto-files to playlist ~95% sorting accuracy Processing: <2s average

Tech:

Telegram Mini App (primary UI) Supabase (backend + real-time sync for collaborative playlists) Claude API for content analysis + summarization Built on Lovable platform

Key features:

Zero manual organization (AI handles everything) Collaborative playlists with real-time sync (Google Docs-style) Visual feed per playlist (scroll like TikTok, not lists) Custom reminders per playlist AI summaries (key points, read time)

Why Telegram-first:

900M users already there Native auth, payments, notifications Mini App = no App Store gatekeepers Zero download friction

Try it: https://nutkin.io