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My article on why AI is great (or terrible) or how to use it
Senior engineers are best positioned to benefit from AI. We're good enough to avoid slop, and there's so much we can accomplish. I wouldn't go back.
New
The latest blog posts to take off on Hacker News. 1,523 posts.
1502
MCP is a fad
Model Context Protocol has taken off as the standardized platform for AI integrations, but this popularity will be short-lived.
1503
Side-by-side comparison of how AI models answer moral dilemmas
Explore how 20 leading AI models respond to tough ethical, social, and political questions. See how their answers compare to each other and to you.
1504
How to code Claude Code in 200 lines of code
The core of tools like Claude Code, Cursor, and Warp isn't magic. It's about 200 lines of straightforward Python. Let's build one from scratch.
1505
IBM AI ('Bob') Downloads and Executes Malware
Vulnerabilities in IBMs Bob AI allow attackers to trigger the download and execution of malware via indirect prompt injection if users select auto-approve for even one known trusted command.
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ChatGPT Health is a marketplace, guess who is the product?
If you read OpenAI’s recent announcement about ChatGPT Health, you might wonder why an AI company under immense financial pressure is venturing into the health business. The answer is buried...
1508
Notion AI: Unpatched data exfiltration
Notion AI was susceptible to data exfiltration via indirect prompt injection due to a vulnerability in which AI document edits are saved before user approval.
1509
ChatGPT Health
ChatGPT Health is a dedicated experience that securely connects your health data and apps, with privacy protections and a physician-informed design.
1510
Building voice agents with Nvidia open models
Build an ultra-low-latency voice agent with NVIDIA open models. Learn how Nemotron Speech ASR achieves sub-25ms transcription, how Nemotron 3 Nano LLM and Magpie TTS work together, and how to optimize architecture for real-time voice AI deployment.
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The Q, K, V Matrices
At the core of the attention mechanism in LLMs are three matrices: Query, Key, and Value. These matrices are how transformers actually pay attention to different parts of the input. In this write-up, we will go through the construction of these matrices from the ground up.
1513
LMArena is a cancer on AI
Would you trust a medical system whose only metric was “which doctor wins the Internet?” No, you'd call that malpractice. Yet that's LMArena.
1514
A 30B Qwen model walks into a Raspberry Pi and runs in real time
ByteShape's device-optimized release showing superior TPS-quality tradeoffs across edge and datacenter hardware.
1515
Locating a Photo of a Vehicle in 30 Seconds with GeoSpy
This is just a short description for your post which you can edit depending on your needs via the Framer CMS.
1516
Opus 4.5 is not the normal AI agent experience that I have had thus far
Three months ago I would have dismissed claims that AI could replace developers. Today, after using Claude Opus 4.5, I believe AI coding agents can absolutely replace developers.
1517
Why didn't AI “join the workforce” in 2025?
Exactly one year ago, Sam Altman made a bold prediction: “We believe that, in 2025, we may see the first AI agents ‘join the workforce’ ... Read more
1518
All AI Videos Are Harmful (2025)
When OpenAI released the first version of Sora, I was excited. For years, I'd had this short story sitting on my hard drive, something I'd written long ago and always dreamed of bringing to life as a
1519
Eurostar AI vulnerability: When a chatbot goes off the rails
TL;DR Introduction I first encountered the chatbot as a normal Eurostar customer while planning a trip. When it opened, it clearly told me that “the answers in this chatbot are generated by AI”, which is good disclosure but immediately raised my curiosity about how it worked and what its limits were. Eurostar…
1520
Claude Code On-the-Go
Running six Claude Code agents in parallel from an iPhone. A cloud VM, Tailscale, mosh, and push notifications enable async development from anywhere.
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1522
Dell's version of the DGX Spark fixes pain points
Dell sent me two of their GB10 mini workstations to test: In this blog post, I'll cover the base system, just one of the two nodes. Cluster testing is ongoing, and I'll cover things like AI model training and networking more in depth next year, likely with comparisons to the Framework Desktop cluster and Mac Studio…
1523
Build a Deep Learning Library
Instead of just learning how to use a deep learning library, we are going to learn how to create one.