Joshua Andrews
1.2K posts

Joshua Andrews
@JoshKaze
Global Software Architecture / DevOps / SaaS / AI engineering consultant - available for fractional CTO / Engineering roles
Worldwide / Asia / Africa Katılım Ocak 2010
1.8K Takip Edilen331 Takipçiler

@Zai_org @ZixuanLi_ This is the correct info about lite plan based on latest Antrophic behaviour

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@jetbrains is in real trouble. I don't touch my IDEs anymore, and neither do any of the engineers I know.
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Joshua Andrews retweetledi

This is wild.
143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history.
Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots.
Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget.
Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard.
The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
NewsForce@Newsforce
POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce
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Testing a few LLM coding plans. Z.ai and chutes are pretty much unusable
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Joshua Andrews retweetledi
Joshua Andrews retweetledi

@GosuCoder I'm using it daily when I hit my codex or copilot limits. Works quite well!
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Joshua Andrews retweetledi

@ImSh4yy I've seen this in production by certain specialised ERP vendors; in an active attempt to prevent 3rd party Integration or reverse engineering
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Absolutely brilliant move by cloudflare: blog.cloudflare.com/email-service/ . This will hopefully provide a great alternative to Amazon SES, and other providers like MailChimp, Zepto, SendGrid etc. Cloudflare already do a great job of receiving emails, this will complete the offering
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Unpopular opinion: Azure being a nightmare to configure is actually a feature, not a bug.
Every week I see another "We ditched Azure for Vercel" post. And honestly? Good for them. The Azure portal looks like someone threw every Microsoft product from the last 20 years into a blender and hit 'frappé'.
Here's what nobody talks about though. Those "simple" platforms? They're making decisions FOR you.
Check this out - I caught Cloudflare's Pro plan routing US customer traffic through EU regions during peak hours. Smart move to handle the load? Absolutely. But imagine explaining to your compliance team why user data took a surprise European vacation.
Azure gives you the keys to everything. Network routing with VNet? Your call. Blob Storage tiers? You decide. Scaling triggers for your VM Scale Set? Here are 47 options, knock yourself out.
Your PaaS of choice can't handle your Black Friday traffic spike? Tough luck. Azure? Spin up 10,000 more servers. Your credit card might cry, but your app won't crash.
The simple platforms are like living in a beautiful apartment. Everything works, maintenance is handled, life is good. Azure is like owning the entire building. You deal with the boiler room, but you also decide if you want to add 50 more floors.
Choose simple when you're starting. Choose control when you're scaling. But don't pretend they're the same thing.
What's your take - is the complexity tax worth paying, or are the simple platforms good enough for 99% of companies?
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kylegill.com/essays/next-vs… - A great essay from @gill_kyle ; valid points to consider when factoring the long term engineering cost of Next.js
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