Hey everyone 👋 Just wanted to share a very real indie hacker moment with you all. For the past couple months, I was stuck in the infamous "API approval... Read more ›
It's your weekly curation of the essential news in the Open Media Network and Fediverse development communities with a focus on devastating big tech via Techno Anarchism. Read more ›
We present a posteriori error bounds for a general class of stabilized finite element approximations of time-dependent mean field games. We first show the equivalence between the norm of the error and the dual norm of the residual in the coupled Hamilton-Jacobi-Bellman and Kolmogorov-Fokker-Planck equations. We then derive a reliable and efficient a posteriori error estimator that is based on residual estimators, along with the temporal jump est... Read more ›
Before I leave the house, the feedback loop is already running. Today it’s over 30 degrees with 60% humidity and I already sweat more than most people at ... Read more ›
Solutions Architect Jamie Lord reveals the comprehensive guide to Cloudflare's Developer Platform, offering honest insights, decision frameworks, and architectural guidance for CTOs and engineers. Read more ›
We're building Onside Arena — an open AI football analytics platform for the FIFA World Cup 2026 and FPL. Live model record: 75% of MD1 winners called correctly. Here's the technical core. TL;DR Dixon-Coles bivariate Poisson on team goal expectations Bayesian-shrunk ratings learned from 12 past World Cups + 8 Premier League seasons (~32K matches) Live recalibration after every played match in the tournament Outputs per-match win/draw probabilities, scoreline distributions, and Monte Carlo sim... Read more ›
[The content of this article has been produced by our advertising partner.] A former Google engineer, Yang approached entrepreneurship by asking what genuine value could be created for consumers. Creating real value for customers has long been one of the main drivers behind his entrepreneurial journey. From a modest beginning as a laptop batteries maker, the company has since grown into a global smart hardware business serving consumers in more than 180 countries and regions. Today, Anker... Read more ›
The probabilistic reading of the cumulative accuracy profile (CAP) has a long industry lineage. Falkenstein, Boral and Carty (2000) state, in discrete form, that the default rate at a score percentile equals the portfolio average rate times the local slope of the power curve; van der Burgt (2008, 2019) formalizes this as the continuous identity $p(D\mid x) = p_D\, dy/dx$ and imports the continuous form as a working fact; Tasche (2009) analyzes t... Read more ›
Contribute to rcanand/obsidian-pencil development by creating an account on GitHub. Read more ›
In the context of control theory and automata theory, controllability and observability are dual concepts describing the capacities (1) to control the state of a system and (2) to detect the state of a system from observations. In automata theory, the alternative term reachability is frequently used in place of controllability. Read more ›
In a pretty big surprise for the AI world, China’s Zhipu AI’s latest model, GLM-5.2, just grabbed the top spot in one of the most respected creative coding benchmarks out there. On June 19, 2026, Design Arena announced on X that GLM-5.2 has taken the #1 position in their single-round HTML web design leaderboard (non-agent […] The post appeared first on <a rel="nofollow" href=" Read more ›
Launched on Product Hunt last week, ran a small Google Ads test (€5-7/day), posted on Twitter and a few directories. One week later: zero paying custome... Read more ›
SWANSEA are working with data recruitment specialists Jamestown Analytics - an offshoot of Tony Bloom's genius transfer company. Brighton owner Bloom helped revolutionise football's Moneyball era and many are now seeking to copy his methods. Bloom, 56, founded and owns data experts Starlizard - and Jamestown are one of many groups attempting to replicate his... Read more ›
The panel at MoT London: Silos at scale: How local AI efficiency gains are breaking the quality feedback loops - with Mike Mead, Tulasi Marupudi and Bharath Acharya.Many thanks to Scale Factory for... Read more ›
Trusts are said to be a tool for its grantor to control from the grave. The first things I look at every morning when I open HD are Jonathan’s quips above the “Latest Posts”, and the most recent thoughts in the “Get Educated” section. I sort of think of “Get Educated” as the legacy that Jonathan has granted to us; his way of continuing to guide and educate. One of today's topics is Monte Carlo analysis, put another way, is your money going to last as long as you? You can pay an advisor big bu... Read more ›
Single-cell foundation models (scFMs) have been proposed as reusable representations for transcriptomic analysis, yet their practical utility and robustness when applied without task-specific fine-tuning remain incompletely characterized. Here, we systematically evaluated single-cell transcriptomic representations in zero-shot settings across 20 methods, 6 downstream tasks and 1,607 datasets comprising nearly 21.8 million cells. We characterized model behavior along three complementary dimens... Read more ›
The paper explores how "culture" can be operationalised in Natural Language Processing (NLP) and what this reveals about the possibilities and limits of considering a plurality of cultural backgrounds in technological design. It proposes that cultural alignment cannot be achieved only by adding more examples of "other cultures", rather it requires plural epistemologies: allowing multiple, locally grounded ways of knowing. To analyze how this p... Read more ›
Learn how to write a coding agent in Python in this tutorial that teaches how to interact with an LLM through an API, how to manage the context, and how to do tool calling. Introduction This tutorial will show you how to create your own coding agent from first principles. By doing so, you'll understand how coding agents work under the hood. Prerequisites To be able to follow this tutorial, you'll need prior Python experience: this tutorial is not suitable for people who don't have programming... Read more ›
In this article, we propose a new deep learning approach to approximate operators related to parametric partial differential equations (PDEs). In particular, we introduce a new strategy to design specific artificial neural network (ANN) architectures in conjunction with specific ANN initialization schemes which are tailor-made for the particular approximation problem under consideration. In the proposed approach, we combine efficient classical numerical approximation techniques with deep oper... Read more ›
I've written more than a dozen novels, and this is the best tool I've ever used. Read more ›