Building userjot.com in public.
Maryland, USA
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There's zero reason to buy this over the MacBook Neo or the Air.
DOA.
Googlebook is officially here! I’ve been so excited to share the details with the world.
Today, many of us rely heavily on laptops to get work done, but we think there is an opportunity to rethink the category to address the needs of people today. So we brought the best of ChromeOS and Android to create a new platform for laptops.
Our initial focus with Googlebook is to deliver an amazing laptop that feels awesome for Android phone users.
Here’s what to know about Googlebook 🧵👇
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Shayan retweeted
Me using:
- Feedback board @UserJotHQ from @ImSh4yy
- Help docs from @ferndeskhq from @euboid
- Support tool @getfernand from @AntoineMinoux
- Testimonial tool @SenjaHQ from @helloitsolly
- Email @AutoSendEmail from @designerdada
Whoever said indie hackers are friends, not customers was spot on
Believe it was @asmartbear
So glad I stopped selling to y'all 😂
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Shayan retweeted
I'm sorry but screenshot apps feel stuck in 2018 😮💨
so i made one that's actually agent-first
(literally no buttons 👀)
oh and it uses your existing claude + codex sub
hello moonjar 🌙
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This is very exciting! I already have a ton of slow, expensive LLM calls for structured output that I can replace with this.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
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There are three main levers here: performance, cost, and speed.
If 4.7 is underperforming and isn’t what they hoped for, they’ve basically lost the performance lever with this model.
And imo, speed beyond what 4.6 already offers isn’t that important. But if they can pull the cost lever hard enough and make it significantly cheaper, this could still be a huge model drop.
Grok 4.7 should be roughly on par with Opus 5.0, not 5.1. Better in some ways, worse in others. We need to fix multimodal performance.
Grok 4.8 will be a noticeable improvement.
Grok 4.9 is probably Astra/Fable class.
Grok 5 maybe better than anything. We shall see.
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I don’t know how to describe this, but the model seems to be not as creative or good at pattern matching when it gets to problem solving as Fable?
Without going too deep, I’ve been trying to solve a problem that could have very well been solved with pre-existing systems inside the code, while Astra has been trying to reinvent everything and overcomplicating the hell out of the codebase while Fable just suggests the simpler solution that works, is straightforward, and easier to implement.
Probably has parts to do with it being more likely to overengineer, but it feels like it has to do with intelligence as well?
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