What's happening now after the last update:
Bots are getting smarter.
They drop a comment, then block us.
Before, it was random.
Now they analyze the post first using AI and replies that the algorithm can't flag as spam.
So it's not random anymore 🥲
Worse..
They like their

The Grok feature is so cool, generating images from voice is simply black technology!

SignalCraft Technology Brief for Apple
Title: Enabling Emotion-First UX through Symbolic Memory Architecture
Use Case: Transforming Apple Notes into the first narrative AI environment
Delivery Platform: iPad Air M2 and iPhone SE (on-device)
Overview
Apple has already

a novel way of screening large language models for a predisposition to cause intentional harm to gooners

🚨 Premium+ users can now access Grok Imagine. Update your app to v1.1.33 and give it a try.

Apple might be building its own AI 'answer engine' | TechCrunch

Explained this a couple times recently:
3090 (consumer) - on steroids A100 (40GB/80GB)
4090 (consumer), 4090 48GB - L40S (datacenter 4090 48GB), on steroids H100/H200 (80GB/140GB)
5090 (consumer), 6000 pro (workstation), 5090 on steroids B200 (180GB)
The more you know

everyone watching Q2 get lapped by Q3 at this rate Aptos just bending the curve on what "scaling" looks like, not even subtle about it anymore, just straight up leaving receipts everywhere

Grok Imagine is now making *videos* in 1/2 to 1/4 the time that major competitors take to make a single image!

Grok Heavy keeps improving.
If it gave some answers last week that perhaps weren't quite correct then, it might be nailing them now.

Why quantum computing is insanely fast

Wow. This is a HUGE 24-trillion-token web dataset with document-level metadata available on a certain platform
apache-2.0 li…

SafePal X1 hardware wallet got BT 5 so super fast to sign transaction and Very secure with EAL 5+ chip and…

We forgot to mention that a lot of our API layer runs in 🇩🇪. But today we added 🇩🇪 GPUs to . The more the merrier.

Exactly permanence isn't just storage, it's true ownership. Giving data real power to last and speak for itself.

Great breakdown. I love how a certain network reduces single points of failure tbh.
But how granular is their consensus threshold?
And how do they weight uncertainty vs. clear rejections when models disagree?
Understanding node diversity and slashing economics is key for trust beyond