I connected my Jellyfin server to my Obsidian vault, and it might be the most pointless thing I've ever done
It's cool in theory, but lacks any real practical application.
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20 articles found
It's cool in theory, but lacks any real practical application.
Prime Day may be over, but the Best Buy TechFest sale is still underway. Here are my top last-minute deals you can get before midnight.
My smart home camera alerts used to be useless, but now they tell me what actually happened
Here's how to watch Austrian Grand Prix 2026 from anywhere in the world as it feels like the F1 championship race has come to life.
The upgrade I almost made wouldn't have solved much
It fixed a home screen problem I didn't know how to solve
Thermal cameras have saved me thousands over the years. Just the other day, one simple check saved me $1,000.
If you are building a feature that talks to an API, you test it thoroughly. Postman on your laptop, maybe a simulator or two, everything looks clean. You ship. Then, within hours, someone on an actual iPhone, on an actual cellular connection, hits a timeout. Or a header behaves differently. Or the a
This article is intended for those who, like me, are interested in profiling and performance optimization. Key Takeaways (TL;DR): Offload CPU-bound crypto: Move synchronous operations like Argon2id into a ThreadPoolExecutor to stop them from blocking the asyncio event loop. Choose the right algorith
Hey All, I’ve been working on a safety application named SafePulse recently and ran into a massive architectural flaw with most existing SOS systems: they rely entirely on cloud servers to analyze telemetry and detect crashes. If an accident happens in a rural area with no network, the app is comple
Cognitive Discovery System (CDS) a scientific computing library written in pure Python. No NumPy, no SciPy, no compiled extensions. Zero dependencies, runs anywhere. 18 modules: quantum circuit simulation, FFT/IFFT, ODE solvers, numerical integration, linear algebra, statistics, Monte Carlo, optimiz
Subtitle: A copy-paste search-then-generate pattern that catches confident hallucinations, with 10,000 verifications on the Starter Boost from SerpBase. Meta description (152 chars): Verify LLM outputs against live Google data using a 2-phase search-then-generate pattern. 1 credit per check on SerpB
What if the next big leap in electric vehicles isn't a bigger battery--but a smarter brain? Electric vehicles are becoming incredibly intelligent. They can estimate remaining range, recover energy through regenerative braking, monitor battery temperature, optimize charging, and even adapt suspension
Most of us learn how to write Python syntax, but very few developers actually dig into what happens behind the scenes when our scripts execute.I recently stumbled upon an open-source repository that absolutely blew me away with its technical depth, and I felt it deserved a lot more visibility in the
Open your browser DevTools and run this: const user = { name: "Bob" } console.log(user) user.name = "Alice" You would expect the log to show { name: "Bob" }, the value at the time of the console.log call. The collapsed line is what you expect: ▶ Object { name: "Bob" } But expand it, and you will see
I Built a Free Apache Kafka Course from Scratch — Here's the Full Curriculum (and What I Got Wrong) I spent months building a free Apache Kafka course covering everything from first principles to a real-time analytics platform final project. No paywall. No "premium tier." 9 modules, 470 minutes of c
Why Knowledge Alone Doesn't Create Judgment Karpathy's LLM Wiki is brilliant. You dump raw material in, an LLM extracts concepts and links them together, and you get a personal knowledge base that actually works. I built one. 100+ pages. It's great. But I hit a wall that made me rethink everything.
One morning I pasted four principles into my CLAUDE.md, the global instruction file Claude Code reads at the start of every session. "Think before you code", "simplicity first", that kind of maxim you see fly by on X, credited to Andrej Karpathy. I felt clever for about a day. Then I watched Claude
You ask the AI for tests. It hands you twelve, all green. CI passes. You merge. Three days later a bug ships, on a function those tests were supposed to cover. You reopen the test file and it clicks: it ran, it passed, and it tested nothing. A green test isn't a proof. It's a hypothesis. And an AI,
Google has placed limits on Meta’s use of its Gemini AI models because it cannot provide as much computing capacity as the social media company wanted, the Financial Times reported on Sunday. The restrictions have affected several Google clients, with Meta hit particularly hard. The move has had a k