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2025-10-14

• 13:42 UTC RetroHax: PS2 Fixing Frenzy – RetroHax: PS2 Fixing Frenzy wow! extremely detailed -- with copious photos -- process of restoring classic Playstation 2 consoles. Worth it for great photos of repair and restoration of decades-old hardware, which is good advice for the next hardware repair job I need to do Tags: ps2 playstation repair restoring restoration gaming retrocomputing

2025-10-06

• 10:09 UTC OSWALD – OSWALD "OSWALD is a Write-Ahead Log (WAL) design built exclusively on object storage primitives. It works with any object storage service that provides read-after-write consistency and compare-and-swap operations, including AWS S3, Google Cloud Storage, and Azure Blob Storage. The design supports checkpointing and garbage collection, making it suitable for State Machine Replication (SMR) [and] has been formally specified and verified using the P programming language." - by Nicolae Vartolomei Tags: oswald wal object-storage s3 gcs azure smr storage formal-methods design architecture cloud-computing

2025-09-29

• 10:58 UTC LLM Observability in the Wild – Why OpenTelemetry should be the Standard – LLM Observability in the Wild - Why OpenTelemetry should be the Standard OTel is generally ahead in terms of how code meets metrics, nowadays, as far as I can see. Works for me Tags: otel observability opentelemetry llms ai coding
• 10:06 UTC Google just erased 7 years of our political history – Google just erased 7 years of our political history "Google appears to have deleted its political ad archive for the EU; so the last 7 years of ads, of political spending, of messaging, of targeting - on YouTube, on Search and for display ads - for countless elections across 27 countries - is all gone. We had been told that Google would try to stop people placing political ads, a "ban" that was to come into effect this week. I did not read anywhere that this would mean the erasure of this archive of our political history." Tags: google advertising ads politics ireland eu europe youtube elections history

2025-09-24

• 10:46 UTC To make AI safe, we must develop it as fast as possible without safeguards – To make AI safe, we must develop it as fast as possible without safeguards lol: As the leader of an AI company which stands to benefit enormously if I convince enough investors that AGI is inevitable, it’s clear to me that AGI is inevitable. But developing superintelligence safely is a complex process. It would take time and require difficult discussions — discussions that everyone in society should have a say in, not just the small number of researchers working on it. If we pursue that path, there's a real risk that somebody else will make AGI first and destroy all human life before we have a chance to ourselves. That would be unacceptable. To stop bad actors developing AGI that could kill us all, we need good actors to develop AGI that could also kill us all. I've come to realise that our best hope is to race at breakneck speed towards this terrifying, thrilling goal, removing any safeguards that risk slowing our progress. Once we've unleashed the technology's full destructive power, we can then adopt a "stable door" approach to its regulation and control — after all, that approach has worked beautifully for previous technologies, from fossil fuels to microplastics. Tags: agi ai-safety satire funny comedy tech future

2025-09-23

• 15:03 UTC AI-Generated “Workslop” Is Destroying Productivity – AI-Generated “Workslop” Is Destroying Productivity "Employees are using AI tools to create low-effort, passable looking work that ends up creating more work for their coworkers: We define workslop as AI generated work content that masquerades as good work, but lacks the substance to meaningfully advance a given task. [...] Each incidence of workslop carries real costs for companies. Employees reported spending an average of one hour and 56 minutes dealing with each instance of workslop. Based on participants’ estimates of time spent, as well as on their self-reported salary, we find that these workslop incidents carry an invisible tax of $186 per month. For an organization of 10,000 workers, given the estimated prevalence of workslop (41%), this yields over $9 million per year in lost productivity. Respondents also reported social and emotional costs of workslop, including the problem of navigating how to diplomatically respond to receiving it, particularly in hierarchical relationships. When we asked participants in our study how it feels to receive workslop, 53% report being annoyed, 38% confused, and 22% offended. The most alarming cost may be interpersonal. Low effort, unhelpful AI generated work is having a significant impact on collaboration at work. Approximately half of the people we surveyed viewed colleagues who sent workslop as less creative, capable, and reliable than they did before receiving the output. Forty-two percent saw them as less trustworthy, and 37% saw that colleague as less intelligent. Tags: productivity career ai work workslop code-review slop

2025-09-22

• 13:21 UTC Double harvest: Vertical solar panels and crops thrive side by side – Double harvest: Vertical solar panels and crops thrive side by side The winning formula for agrivoltiacs -- very clever. East/west aligned, vertically-mounted solar panels do not impede growing; they provide shelter from wind for the plants; and they provide power when it's needed -- in the "shoulder" hours, not in the peak midday period where curtailment happens. Tags: agrivoltiacs solar-pv solar-power energy farming science crops
• 13:21 UTC Hacking with AI SASTs: An overview of ‘AI Security Engineers’ / ‘LLM Security Scanners’ for Penetration Testers and Security Teams | Joshua.Hu | Joshua Rogers’ Scribbles – Hacking with AI SASTs: An overview of 'AI Security Engineers' / 'LLM Security Scanners' for Penetration Testers and Security Teams | Joshua.Hu | Joshua Rogers' Scribbles This is actually impressive results from using LLMs to perform security scans on an existing codebase. Daniel Stenberg of curl has given the results of this work a thumbs-up: https://mastodon.social/@bagder/115241241075258997 My general summary is as follows: Multiple AI-native SASTs are already on the market, ready to use today. They work extremely well. They find real vulnerabilities and logic bugs in minutes. They can “think”/”reason” about business logic issues. They can match developer intent with actual code. They aren’t based on static rule-sets and queries. They have low false positive rates. They’re cheap (for now). My results showed that (in order of success), ZeroPath, Corgea, and Almanax, are the top three products on the market right now. I did not test DryRun. These tools look superb. Tags: ai curl tools llm vulnerabilities chatgpt zeropath corgea almanax dryrun taint-checking code-review code-analysis static-analyzers security

2025-09-21

• 10:30 UTC Introducing the Forklift Certified License—Aria’s Barks – Introducing the Forklift Certified License—Aria’s Barks Look, it’s starting to be pretty damn obvious that “Free Software” and """Open-Source""" are no longer the kinda hippie shit we tought them to be back when they’d give you Linux distros CDs with magazines about computer touching. The Free Software Foundation has been sliding into irrelevance more and more by entirely failing to address its big Creepy Uncle problem. Open-Source has turned into a form of unpaid internship to be hired to make shitty apps that bring more surveillance and ads to our world. Tags:

2025-09-17

• 11:32 UTC A better future for JavaScript that won’t happen – A better future for JavaScript that won't happen This is 100% spot on, regarding the never ending series of exploits of failures of npm's security model: This could be the moment where npm comes to terms with its broken design, and with a well-funded effort (recall that, ultimately, npm is GitHub is Microsoft, market cap $3 trillion USD), will develop and roll out the next generation of package management for JavaScript. It could incorporate the practices developed and proven in Linux distributions, which rarely suffer from these sorts of attacks, by de-coupling development from packaging and distribution, establishing package maintainers who assemble and distribute curated collections of software libraries. By introducing universal signatures for packages of executable code, smaller channels and webs of trust, reproducible builds, and the many other straightforward, obvious techniques used by responsible package managers. Maybe other languages that depend on this broken dependency management model, like Cargo, PyPI, RubyGems, and many more, are watching this incident and know that the very same crisis looms in their future. Maybe they will change course, too, before the inevitable. [....] No one will learn their lesson. This has been happening for decades and no one has learned anything from it yet. This is the defining hubris of this generation of software development. I have been saying this for YEARS. I could not agree more with this post. Bravo! (via Oisin) Tags: via:oisin supply-chain-attacks security infosec npm dependencies exploits javascript coding development

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