2025-05-31
Building Toffee: How I’m Tackling the Messy Truth About Debt, One Line of Code at a Time
Toffee is a debt tracking and management app designed to turn financial stress into momentum. The app's interface is intentionally simple, but there's some sophisticated logic working behind the scenes...
The Great Privacy Comparison: ISO Standards Take on Europe's GDPR Requirements
Compares ISO-27560, ISO-29184, and GDPR requirements for consent and notices, mapping terminology and exploring compliance applications.
"Learn to Code" Backfires Spectacularly as Comp-Sci Majors Suddenly Have Sky-High Unemployment
It looks like the "learn to code" push is backfiring spectacularly for those who bought in. As Newsweek reports, recent college graduates who majored in computer science are facing high...
New ISO Standard Revolutionizes How Organizations Track Digital Consent
ISO-27560 defines interoperable consent record structure covering processing details, notices, data collection, and lifecycle events for GDPR compliance.
Analysis of ISO/IEC TS 27560:2023 for GDPR Compliance Using Data Privacy Vocabulary
ISO/IEC TS 27560:2023 enables machine-readable consent records/receipts. Analysis shows GDPR compliance benefits using DPV implementation.
Najgroźniejsza broń, której NIE DA SIĘ zakazać
Wejdź na https://surfshark.com/grzegorz albo użyj kodu GRZEGORZ żeby zdobyć 4 dodatkowe miesiące Surfhshark VPN! Dlaczego broń tak podstępna, że zabija długo po wojnie, nadal jest używana. Mimo międzynarodowych traktatów, miny...
New Algorithm Makes Complex Spatial Models Lightning Fast with Vecchia Magic
Matern GP model with Vecchia approximation enables linear-time computation and unbiased gradient estimation for scalable SGMCMC spatial inference.
Something Surprising Is Destroying Elon Musk's Starlink Satellites
Now that more than 7,000 Starlink satellites are orbiting our planet, scientists have been given a golden opportunity to study the effects the Sun's activity can have on their lifespans....
Breaking the iid Barrier: How Stochastic Gradients Are Going Spatial
SG methods scale ML but struggle with correlated spatial data. Authors extend SGLD using Vecchia approximation for unbiased GP gradient estimates.
How Spatial Scientists Are Solving the Gaussian Process Scaling Challenge
Reviews GP scaling methods: low-rank, tapering, divide-conquer, Vecchia. All reduce cubic to linear cost, but MCMC still needs thousands of iterations.
Stochastic Gradient MCMC for Large-Scale Gaussian Process Spatial Modeling
SGMCMC + Vecchia approximation enables scalable Bayesian GP inference for large spatial datasets, achieving linear time complexity and competitive performance.
Projects left undone
What’s the attainable, practical and generous thing you haven’t done yet? What will it take for it to become a priority?
Ephemeral taskforce
The pragmatic alternative to technical committees
The (Unofficial) Rationality: A-Z Anki Deck
Published on May 31, 2025 7:01 AM GMTI'm a huge fan of Anki. I love being able to remember what I read for however long I want to. However, most...
The TechBeat: How Generative AI Is Reshaping PR Strategy, Brand Visibility, and Media Influence in 2025 (5/31/2025)
How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set...
Lettre.app
Digital handwritten letters, PenPals & stamps Discussion | Link
Fine-tuned GPT-3.5 Performance: Praise Component Identification Results
Detailed results of fine-tuned GPT-3.5 models showing mean, std, min, and max M-IoU scores for identifying effort- and outcome-based praise across various training sample sizes.
Today's Wordle answer for Saturday, May 31
Get all the help you need with today's Wordle.
Correlation of M-IoU with Human Judgments for Outcome-Based Praise
This scatter matrix visualizes the strong positive correlation between M-IoU scores and human coder ratings for outcome-based praise in automated feedback analysis.
Input Format for Fine-tuning GPT-3.5 for Praise Evaluation
Explore the structured input format (System, User, Assistant roles) used to fine-tune GPT-3.5 models for identifying effort- and outcome-based praise in tutor responses via JSON output.
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