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Securing PostgreSQL, in the order an attacker would try things Dan Draper for CipherStash Jun 10 #postgres #security #database #tutorial 1 reaction Add Comment 7 min read
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Securing PostgreSQL, in the order an attacker would try things Dan Draper for CipherStash Jun 10 #postgres #security #database #tutorial 1 reaction Add Comment 7 min read
Companies Have Been Failing at This for 30 Years — AI Won't Change That by Itself Clients come to me and say, "We want to build a company-wide AI knowledge base." I used to take those projects on the spot. Today, nine times out of ten, my first move is to talk them out of it. It's not that knowledge bases are a bad idea. It's that we keep pointing the newest technology at a problem that has resisted every previous attempt for three decades. Consider what we know about how badly information ret
The Framework Laptop 13 Pro is delayed. The new 13-inch Framework flagship was set to launch in June, but shipments from the first batch are now expected in July - and there's still a chance some shipments could slip to early August. If you're not in the first batch, your Laptop 13 Pro shifts from a July shipment to August, though some could be as late as early September. Framework informed customers who preordered a Laptop 13 Pro of the delay via email, outlining the reasons for the extra wai
I've spent the last few years auditing Upwork profiles — first manually for clients, Here's what I found, ranked by frequency. 1. Main keyword used only 1–2 times total (25/30) The algorithm needs repetition to understand what you do. Not spammy repetition — 2. Title isn't a real autocomplete query (22/30) Type your exact title into Upwork's search bar. If it doesn't appear as an autocomplete 3. Key sections left empty (22/30) Employment History, Other Experience, Certifications. These aren't
Key Takeaways 82% of developers default to OpenAI GPT models (Stack Overflow Developer Survey, 2025), but 60-70% of production API calls don't need a frontier model. Switching classification calls from GPT-4o to DeepSeek V3 saves 18x on input tokens ($2.50 → $0.14 per million). Combining model routing with prompt caching cuts total LLM spend by 80-95%. Average monthly AI spend hit $85,500 per company in 2025 — a 36% jump YoY (CloudZero, 2025). Here's something that'll bother you if you're shippi
I've written a lot of scrapers. The HTML parsing part is never the interesting part — and it's always the part that takes the longest. You know what data you want. You know where it lives on the page. Getting it out shouldn't require 40 lines of cheerio and a prayer. So I built StructAPI. You send a URL and CSS selectors. You get JSON. curl -s -X POST https://structapi.duckdns.org/extract \ -H "X-API-Key: $KEY" \ -H "Content-Type: application/json" \ -d '{ "url": "https://news.ycombina
Apple's new Siri AI is finally here, and so far, it seems like it works. I have access and have been messing around with it, and my biggest impression so far is that Siri AI is quite curt - which I mean as a compliment. Many AI chatbots are cheery and wordy. While a more verbose and casual personality can make a chatbot seem friendlier and more fun to talk to, there are instances of users becoming extremely attached to their chatbot of choice. People have fallen in love with chatbots. When OpenA
I pointed a scanner I wrote at my own network traffic for one afternoon. It came back with eight AI services I'd never sanctioned, running quietly in the background. One of them was DeepSeek, which routes data to servers in China. No alert fired. No DLP rule tripped. Nothing in the stack had flagged any of it — because the traffic looked exactly like what it was: ordinary HTTPS to legitimate-looking domains. That gap — between "we have an AI policy" and "we can prove what's actually running" — i
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