
AI Educator | Helping You Make Money with AI, Tech Tools & Digital Skills โ ๐ฉ DM or Email for Collaborations: [email protected] HIGGS-DZROZ
Joined March 2026
- Tweets4K
- Following564
- Followers29.3K
- Likes2.5K
THERE'S AN IPHONE SETTING THAT FEDERAL AGENTS CHECK BEFORE EXECUTING A WARRANT FOR YOUR ICLOUD DATA.
IF IT'S TURNED ON, THERE'S NOTHING THEY CAN DO.
MOST PEOPLE HAVE NEVER HEARD OF IT.
HERE'S WHAT IT IS AND HOW TO TURN IT ON:
The Uncomfortable Truth
Most people don't know this exists.
Apple doesn't advertise it.
Because if everyone enabled it, they couldn't comply with warrants.
Your data is yours.
Until you don't protect it.
Recap โ The Privacy Setting:
๐ What: Advanced Data Protection
๐ Where: Settings โ iCloud โ Advanced Data Protection
๐ What it does: Encrypts your data so Apple can't access it
๐ Warning: You must keep your recovery key safe
Turn it on. Protect yourself.
If this protected your privacy:
๐ Repost
๐ Follow for more security tips.
Shohan retweeted
7 SIGNS YOUโRE IN A TOXIC RELATIONSHIP.
1. You constantly feel anxious, confused, or like youโre walking on eggshells around them.
Shohan retweeted
An Anthropic engineer shares how he earns $350Kโ$950K building AI agent systems:
โI know how to build harnesses.
Most developers still connect multiple AI agents manually and struggle to make them work reliably.
I build systems that run continuous loops, use sandboxed environments, and turn previous execution logs into new skills.
Same model. 10x more reliable agents that learn and improve while you sleep.โ
Opus 5.5 โ Agents โ Harnesses โ Loops โ Graphs
In a short workshop, he breaks down how to build the entire system from scratch:
Step 1 โ Build a harness to manage control loops, context, and sandboxed tools.
Step 2 โ Separate the model from its tools to generate the first token up to 60% faster.
Step 3 โ Deploy agents on servers and recover from crashes using execution logs.
Step 4 โ Use retries and replays to handle failures without rebuilding the entire system.
Step 5 โ Turn execution history into memories that help agents get better over time.
Anthropic refers to this process as โdreaming.โ
Instead of spending weeks building everything manually, learn a more efficient way to create reliable AI agents.
Bookmark this workshop. Youโll want to come back to it.
Shohan retweeted
Hey @grok, According to you which toilet sitting position is actually the healthiest? ๐ค
Shohan retweeted
GOOGLE Free Courses With Certificates ๐
โข Cybersecurity
grow.google/intl/en_in/cybโฆ
โข Business Intelligence
coursera.org/google-certifiโฆ
โข Advanced Data Analytics
coursera.org/google-certifiโฆ
โข Digital Marketing
grow.google/intl/en_in/digโฆ
โข AI & Machine Learning
grow.google/intl/en_pk/guiโฆ
โข Data Analytics
grow.google/intl/en_in/datโฆ
โข Project Management
grow.google/intl/en_in/proโฆ
โข UX Design
grow.google/intl/en_in/ux-โฆ
โข IT Automation
coursera.org/google-certifiโฆ
โข IT Support
coursera.org/google-certifiโฆ
๐ Get certified and boost your career with Google courses.
Follow @IsabellaA60913 for more AI & tech content.
Shohan retweeted
What if learning about space felt more like an adventure than a lesson? ๐๐
I explored **SpaceSphere by @SYGNITO** โ a browser-based platform bringing space exploration and education together.
Hereโs what caught my attention:
๐ Explore an interactive 3D Earth
๐ฐ๏ธ Discover space, celestial objects & real-world data
๐ง Dive into **Learn** with nearly 3,000 questions and 500+ quizzes
๐ฒ Play a space-themed board game where answering questions moves the adventure forward
The last part is especially interesting: it combines Monopoly-style gameplay with knowledge from the Learn module.
Explore the platform ๐
๐ spacesphere.sygnito.com/
๐ Learn: spacesphere.sygnito.com/en/lโฆ
๐ฎ Expeditions: spacesphere.sygnito.com/en/eโฆ
Could this be a more engaging way to learn about space? ๐
Shohan retweeted
An Anthropic engineer reveals how he earns $350Kโ$950K:
โI know how to build harnesses.
99% of developers still assemble multi-agent systems by hand, then struggle to keep them running reliably.
I build systems that execute loops, operate inside sandboxes, and transform past logs into new skills.
Same model. 10x more reliable agents that continuously improve, even while you sleep.โ
Opus 5.5 โ Agents โ Harnesses โ Loops โ Graphs
In a short workshop, he explains how to build this system from the ground up:
Step 1 โ Control loops, context, and sandboxed tools with a harness
Step 2 โ Keep the model separate from its tools to generate the first token 60% faster
Step 3 โ Run agents on servers and recover from crashes using execution logs
Step 4 โ Handle failures with retries and replays instead of rebuilding everything from scratch
Step 5 โ Convert past execution logs into memories that help agents improve over time
Anthropic calls this process โdreaming.โ
Most developers spend weeks piecing these systems together manually.
This workshop shows you a more efficient approach.
Bookmark this and watch it.










