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Elastic lays off 7% of employees
Utah officials warn of 'unprecedented' water shortages as towns run dry
AI Data Center Power Requirements in 2026: The Complete Grid-to-Chip Guide
The Forgotten Castles of the Garamantes
Long Island's Decommissioned Nuclear Power Plant
13 years and $500 million for a stage adapter? Report justifies NASA cancellations.
"Contract values for these efforts ballooned from nearly $2.8 billion to $5.9 billion."
Charlie Kirk’s legacy is a 30-year sentence for moving zines
Just days after a gunman killed conservative activist Charlie Kirk, it became clear that President Donald Trump would use the assassination to fuel a crackdown on free speech. To avenge Kirk's death, the administration vowed to go after so-called "antifa" (otherwise known as antifascist) terrorists. Now that promise is bearing fruit. This week, eight Texas […]
Microsoft introduces cheaper Surface devices with half the memory
Microsoft just added a cheaper 12-inch Surface Pro and 13-inch Surface Laptop to its lineup. Both models come equipped with 8GB of RAM instead of 16GB, costing $849 for the specced-down Surface Pro and $949 for the Surface Laptop, as spotted earlier by Windows Central. When the 12-inch Surface Pro and 13-inch Surface Laptop launched […]
How I built an end-to-end encrypted pastebin (and why the server can’t read your text)
got annoyed that pastebin and similar sites log everything and keep your text forever, so i built one where the server literally cant read what you paste. heres how the encryption actually works and what i learned building it the problem most paste sites work like this: you type something, it goes to their server as plain text, and it sits in their database. they can read it. their employees can read it. anyone who breaches them can read it. and a lot of them keep it forever even after you think its gone. i didnt want to just promise not to look at your stuff. i wanted it so that i cant look even if i wanted to. the idea: encrypt before it leaves the browser the trick is that all the encryption happens on your side, in the browser, before anything gets sent. the server only ever sees scrambled bytes. the key never touches the server at all, it lives in the part of the url after the # , which browsers dont send in requests. so the flow is basically: you paste text browser generates a random key text gets encrypted with that key only the encrypted blob goes to the server the key gets stuck in the link after a # whoever opens the link decrypts it locally the actual code modern browsers have the Web Crypto API built in, so you dont need any library for this. heres the encrypt part, stripped down: \ `js async function encrypt(text) { const key = await crypto.subtle.generateKey( { name: "AES-GCM", length: 256 }, true, ["encrypt", "decrypt"] ); const iv = crypto.getRandomValues(new Uint8Array(12)); const encoded = new TextEncoder().encode(text); const ciphertext = await crypto.subtle.encrypt( { name: "AES-GCM", iv }, key, encoded ); // export the key so we can put it in the url const rawKey = await crypto.subtle.exportKey("raw", key); return { ciphertext, iv, rawKey }; } ` \ the ciphertext and iv go to the server. the rawKey gets base64'd and dropped into the link after the # . decrypting is just the same thing in reverse with crypto.subtle.decrypt . the thing that tripped
Up to $400 Off: The Smart Fridge That Haunts My Algorithm
The Rocco isn’t on Amazon, but its rare sale knocks up to $400 off a fridge that can track your drinks and make any room look cooler. Save through July 5.
OpenAI Codex bombards SSDs with needless write operations
The memory chip crunch is paying off for this U.S. company
Revenue quadrupled to $41.45 billion compared with the same period a year ago. The company's profit, meanwhile, rose from $1.88 billion to an incredible $28.2 billion year-over-year.
US ends hantavirus outbreak response with no answers on draconian quarantines
We still don't know why RFK Jr. overruled CDC expert to order strict quarantines.
Inbox Zero for Devs: How I Built a JavaScript Script to Destroy Gmail Spam
Hey dev community! 👋 As developers, our inboxes often turn into a graveyard of job alerts (LinkedIn, Indeed, ZipRecruiter) and tech newsletters we subscribe to with the intention of "reading later" but never actually open. The result? Important emails get lost, and we get the dreaded "Account storage is almost full" notification. Recently, I hit that wall. I had thousands of accumulated emails. While Gmail allows you to create filters for incoming mail, it doesn't have a native feature to say: "Delete this email automatically after 7 days" . So, I decided to solve it the way we solve everything: by writing some code. 🛠️ The Solution: Google Apps Script + JavaScript Since the Google Workspace ecosystem runs on a JavaScript-based environment, I put together a custom script. Fun fact: a simple loop originally failed due to Google's strict 6-minute execution limit. To fix this, I optimized the code to process emails in batches of 100 , preventing the server from timing out. Here is the final production-ready script: function cleanSpamTsunami() { // 1. Loop to delete ALL Job Board emails in batches of 100 var continueJobSearch = true; while (continueJobSearch) { var jobThreads = GmailApp.search('computrabajo OR indeed OR linkedin OR OCC OR neuvoo OR talent.com OR jooble', 0, 100); if (jobThreads.length > 0) { Logger.log('Deleting a batch of ' + jobThreads.length + ' job alert emails...'); GmailApp.moveThreadsToTrash(jobThreads); } else { Logger.log('No more job alerts found!'); continueJobSearch = false; // Break the loop } } // 2. Loop to delete old Newsletters (older than 7 days) in batches of 100 var continueNewsletters = true; while (continueNewsletters) { var newsletterThreads = GmailApp.search('unsubscribe OR "cancelar suscripción" older_than:7d', 0, 100); if (newsletterThreads.length > 0) { Logger.log('Deleting a batch of ' + newsletterThreads.length + ' old newsletters...'); GmailApp.moveThreadsToTrash(newsletterThreads); } else { Logger.log('No more old newslett
Creating Specialized AI Agents: Developer, Tester, Reviewer, Documenter
One universal AI agent sounds convenient. One agent to read tickets, write code, generate tests,...
European Space Agency's Euclid captures the star-filled center of the Milky Way
NASA will begin mapping the galactic bulge with a mission later this summer.
The Intercept Sues to Uncover Secretive Government Anti-Protester Database
Your @EventListener Fires Before the Transaction Commits⚙️
Your domain event fires. Your notification service queries the DB for the entity that just got saved. It finds nothing. You add a log line. It starts working. You remove the log. It breaks again. That's not a race condition. That's @EventListener . What's actually happening Spring's @EventListener fires synchronously, inside the calling thread, before the transaction commits. The DB row exists in Hibernate's session — but it hasn't been flushed and committed yet. Other connections, including the one your listener opens when it calls findById , can't see it. The log statement "fixes" it because the delay gives Hibernate time to flush. Remove the log, the flush doesn't happen in time, and you're back to an empty Optional . Here's the broken setup: @Component public class OrderEventListener { @EventListener // fires MID-TRANSACTION, before commit public void onOrderCreated ( OrderCreatedEvent event ) { // Transaction not committed yet. // Other DB connections see nothing. Order order = orderRepository . findById ( event . getOrderId ()) . orElseThrow (); // ← throws here, row doesn't exist yet notificationService . notifyCustomer ( order ); } } The obvious fix and what it costs you Spring ships @TransactionalEventListener for exactly this. Set phase = TransactionPhase.AFTER_COMMIT and the listener fires after the transaction commits. The row is visible. findById returns the order. Problem solved. @Component public class OrderEventListener { @TransactionalEventListener ( phase = TransactionPhase . AFTER_COMMIT ) public void onOrderCreated ( OrderCreatedEvent event ) { // Transaction committed. All connections see the row. Order order = orderRepository . findById ( event . getOrderId ()) . orElseThrow (); // ← works fine notificationService . notifyCustomer ( order ); } } But the trade-off is real. Your listener is now decoupled from the transaction. If the listener fails — notification service is down, the email throws, the external API times out — the transaction alrea
I built a $0.0005 screenshot cropper that saves AI agents 95% on vision LLM costs
If you're building AI agents that work with browser screenshots, you already know the pain. You take a full 1920×1080 screenshot, pass it to GPT-4o or Claude, and watch your token bill climb — while the model downscales the image anyway and blurs the exact text you needed it to read. There's a better way. The problem Vision LLMs are expensive for two reasons when you feed them full screenshots: Token cost — a full screenshot can cost 10–20x more tokens than a small crop Accuracy loss — models internally downscale large images, blurring fine text, labels, and UI elements But your agent already knows where to look. Browser automation tools like Playwright and Puppeteer give you getBoundingClientRect() — the exact pixel coordinates of any element on screen. So why are you sending the whole screenshot? The solution I built a stateless pay-per-use API that takes a screenshot and pixel coordinates, and returns just the cropped element as a lossless PNG — ready to pass directly to your vision LLM. POST /crop { "image" : "<base64 screenshot>" , "x" : 120 , "y" : 45 , "width" : 640 , "height" : 80 } Returns: { "success" : true , "data" : { "base64" : "iVBORw0KGgo..." , "mime" : "image/png" , "width" : 640 , "height" : 80 , "bytes" : 4821 } } A 4KB crop instead of a 2MB screenshot. Same information. 95% fewer tokens. How payment works Here's where it gets interesting. The API uses the x402 payment protocol — HTTP's long-dormant 402 Payment Required status code, finally put to use. There are no API keys. No accounts. No subscriptions. The agent pays $0.0005 USDC per crop on Base L2 automatically. The flow: 1. Agent POSTs to /crop (no payment header) ← 402 with payment instructions in headers 2. Agent transfers 0.0005 USDC to recipient wallet on Base (near-zero gas, ~2 second settlement) 3. Agent POSTs again with x-payment-tx-hash header ← 200 with cropped PNG The entire exchange happens inside the HTTP request cycle. No human intervention. No billing dashboard. The money lands