今天，技术世界发生了什么。

Cloudflare Turnstile requiring fingerprintable WebGL

Creatine raises brain energy levels and slows cognitive decline: study

Dav2d

Codex just found a "workaround" of not having sudo on my PC

1-Bit Bonsai Image 4B Image Generation for Local Devices

United Airlines 767 returns to Newark after Bluetooth name sparks alert

The Speed of Prototyping in the Age of AI

Show HN: Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire

The Four Programming Questions from My 1994 Microsoft Internship Interview (2023)

ChatGPT for Google Sheets Exfiltrates Workbooks

OpenRouter raises $113M Series B

Voxel Space (2017)

Accenture to acquire Ookla

https://www.theverge.com/tech/889234/downdetector-ookla-spee... , https://archive.ph/FR8ND https://arstechnica.com/information-technology/2026/03/downd...

Zig ELF Linker Improvements Devlog

I found a seashell in the middle of the desert

Domain expertise has always been the real moat

Show HN: 500 years of Joseon court omens as an observability dashboard

Jef Raskin, the Visionary Behind the Mac (2013)

Dusklight – GC Twilight Princess Decompiled

wolfSSL releases a new product; wolfCOSE a zero alloc C embbedded COSE stack

The dead economy theory

Notes from the Mistral AI Now Summit in Paris

SQLite is all you need for durable workflows

Bijou64: A variable-length integer encoding

It's hard to justify buying a Framework 12

https://www.youtube.com/watch?v=aPVAnwuSjfk

The California state assembly has passed the 'Protect Our Games Act'

Liquid AI reveals 8B-A1B MoE trained on 38T

On Rendering Diffs

Show HN: Tiny-vLLM – high performance LLM inference engine in C++ and CUDA

Shift will clean homes for free to train future robots

Claude Opus 4.8

Bricks and Minifigs Stole a Man's $200k Lego Collection

Just Use Postgres for Durable Workflows

Show HN: Continue? Y/N: A 60-second game about AI agent permission fatigue

News about Raspberry Pi 6 and Microcontroller Development

Various LLM Smells

I hated writing–until I learned there's a science to it(2024)

Nitpicking the shell history scene in 'Tron: Legacy'

Bitburner, programming-based incremental game

I Made a Million Dollar Product from My Dorm Room (2025)

Last.fm is now independent

DuckDuckGo search saw 28% more visits after Google said people love AI mode

I think Anthropic and OpenAI have found product-market fit

Canada to order military plane fleet from Sweden in shift from US suppliers

YouTube to automatically label AI-generated videos

https://variety.com/2026/digital/news/youtube-ai-video-label...

Incident with Pull Requests, Issues, Git Operations and API Requests

SimCity 3k in 4k (2025)

What Apple and Google are doing to push notifications

Rust (and Slint) on a Jailbroken Kindle

On Labubu and the Hyperreal

Spain blocks prediction markets Polymarket, Kalshi over lack of gambling licence

Dropbox CEO Drew Houston to step down

https://blog.dropbox.com/topics/company/dropbox-leadership-u...

A few interesting modern pixel fonts

Chemistry behind the Garden Grove chemical tank

I Bypassed Adobe and Microsoft to Build a Git-Tracked Book Production Pipeline

Rosalind: A genomics toolkit in Rust running whole-genome pipelines on a laptop

The Ballad of TIGIT

Big tech's anti-labor playbook has come for Wikipedia

C64 Basic: Game Map Overhead “Camera View”

Launch HN: Minicor (YC P26) – Windows desktop automations at scale

Hey we’re Faiz and Saheed and we built Minicor so AI companies who need to integrate to desktop systems with no API can quickly build scalable desktop RPAs. Demo: https://www.youtube.com/watch?v=MD0GHZIJ1cw We were working on non-RPA integrations when a customer promised to sign a deal in 2 days if we could unblock a sale of theirs that involved integrating with a clinic’s Windows based medical record system. We didn’t know it at the time but it turns out that building desktop RPAs at scale is extremely difficult because scripting is hard (learning the system, defining the automation, UIs changing constantly), orchestration is hard (is the VM up? queuing, parallelizing) and debugging is hard (zero observability, false positives, cascading failures). 30%+ failure rates are not uncommon. At scale we’ve seen cases of failed RPAs leading to thousands of support tickets a month. To solve the problems we were facing, we built an MCP that Claude Code/Codex can use to navigate a virtual machine running desktop software with Python to create RPA workflows. The RPA workflows run as Python scripts for speed, cost, and determinism. These workflows can be triggered by API following any input/output schema specified, with video replays and logs stored with each run. The MCP can debug RPAs and make changes to the underlying code, all of which are version controlled. We also built tools for cloning VMs for parallelizing RPAs, and handling 2FA/OTP challenges. Plus since workflows are code based: we were also able to add triggers for Slack notifications, human-in-the-loop steps, or call an LLM to verify the state of a VM by passing a screenshot. Would love to hear your feedback and if you have any RPA horror stories! (: