I found GitHub repositories that were spreading malware. I asked AI what to do about it, but it gave me nothing useful. So I opened a discussion on GitHub. Someone replied. It was the exact same text the AI had given me. I called it out and the comment was

YouTube is making AI-generated content labels more prominent, and it's going to start automatically applying the labels if it detects that a video includes 'significant photorealistic AI use.'

Anthropic are strongly rumored to be about to have their first profitable quarter. Stories are circulating of companies surprised at how expensive their LLM bills are becoming from usage by …

People just want a choice.

Today, Last.fm begins a new chapter as an independent company. Ownership has changed, but the product you use every day has not. Your account, your listening history, and your data remain exactly where they are. The team building Last.fm is the same. The service continues as normal. What stays the same Your account and scrobbles Your data and privacy settings Your Pro subscription and billing (if you're a member) The people behind the product We'll share more about what comes next in the w...

"CEOs are uniquely prone to AI psychosis," Box CEO Aaron Levie opines. Maybe that explains the almost religious belief in AI productivity gains.

Mark Carney announces purchase of Saab’s GlobalEye early warning aircraft to patrol Arctic territory

SimCity 3000 is the best SimCity. Its only problem is that it doesn

We present Epicure, a family of three sibling skip-gram ingredient embeddings retrained from scratch on a multilingual recipe corpus. We aggregate 4.14M recipes from 11 sources spanning seven languages, English, Chinese, Russian, Vietnamese, Spanish, Turkish, Indonesian, German, and Indian-English, and normalise the raw ingredient strings to 1,790 canonical entries via an LLM-augmented pipeline. A 203,508-edge ingredient-ingredient NPMI graph and an 80,019-edge typed FlavorDB ingredient-compound graph, 2,247 typed compound nodes across 15 categories, seed three Metapath2Vec variants that share architecture and hyperparameters and differ only in the random-walk schema: Cooc walks the co-occurrence graph only, Chem walks the typed compound metapaths only, and Core blends both via injected ingredient-ingredient walks at controlled mixing, placing each model at a distinct point on the chemistry-vs-recipe-context spectrum.

A deep dive into Claude Code for daily users. Covers the .claude directory, CLAUDE.md the way Boris writes it, CLAUDE.local.md, Skills with real examples, custom subagents, plugins, underused commands like /goal and /insights, MCPs, and the workflow patterns the Anthropic team actually uses.

I wrote recently about what Google, Yahoo, Microsoft, and Apple are doing to your email: how four providers stopped being transport layers and turned into active intermediaries between brands and their customers, parsing, ranking, summarising, and increasingly answering on the recipient's behalf.

I love networking, a lot. So much so that I've run my own ISP since 2024, complete with its own ASN, IPv4/6 address space, fiber optics, etc.

However, do this and you quickly realize how reliant you still remain on central service providers. The internet is a mesh, but

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GitHub's Status Page - Incident with Pull Requests, Issues, Git Operations and API Requests.

Friendly fraud is the laundered name for something that the payment system is not really able to prevent. Even though I’m pretty sure they can do way better. Particularly big and sophisticated payment providers like Stripe, with a mountain of signals. I had a customer buy my product twice. It’s called Ciglue. It’s cigar glue.…

Proposal: Generic Methods for Go A change of view. Background For clarity, in the following we use the term concrete method (or just method when the context is clear) to describe a non-interface me...

A big Steam Deck price hike.

Erin Brockovich, the environmental activist whose name and work you may recognize from the Oscar-winning movie Erin Brockovich, has created a tool to map data centers across the country, along with a form for people to report data centers and their impacts in their community.

"The RACE to b…

Your favourite ROP gadget

Diving into the nostalgia of LAN parties and exploring its rise, fall, and comeback in the evolving landscape of multiplayer gaming

The wording of natural language prompts has been shown to influence the performance of large language models (LLMs), yet the role of politeness and tone remains underexplored. In this study, we investigate how varying levels of prompt politeness affect model accuracy on multiple-choice questions. We created a dataset of 50 base questions spanning mathematics, science, and history, each rewritten into five tone variants: Very Polite, Polite, Neutral, Rude, and Very Rude, yielding 250 unique prompts. Using ChatGPT 4o, we evaluated responses across these conditions and applied paired sample t-tests to assess statistical significance. Contrary to expectations, impolite prompts consistently outperformed polite ones, with accuracy ranging from 80.8% for Very Polite prompts to 84.8% for Very Rude prompts. These findings differ from earlier studies that associated rudeness with poorer outcomes, suggesting that newer LLMs may respond differently to tonal variation. Our results highlight the importance of studying pragmatic aspects of prompting and raise broader questions about the social dimensions of human-AI interaction.

The new regional law aims to curb the uncontrolled expansion of data centres, encouraging the reuse of disused industrial areas and ensuring control over the environmental and energy impact.