Want to test your skills on real sysadmin and cloud tasks? We just shipped an update to our @learntocloud Linux CTF. You SSH into a real cloud VM and work through 18 challenges using nothing but the command line.
- Fix a permissions problem with chmod and get into a locked-down service over ssh
- Work out what a service is doing with systemctl and journalctl
- Dig through nested archives with tar
- Chase a DNS oddity and watch traffic on the wire
and more!
Free, runs on AWS, Azure or GCP so you get cloud experience too, and you finish with a completion certificate.
Think you can find every flag?
https://t.co/WuPcSti82M
There are multiple entry points into global companies: internships, early-career hiring, regional offices, apprenticeship programmes and structured graduate programmes.
Here’s a list of actual programmes and hiring pathways Nigerians/Africans can look into:
I am hiring 5 Forward Deployed Engineers at Microsoft across Redmond, SF & NYC:
💻 Senior, Developer Platform
https://t.co/o8sEUI1RDS
🤖 Senior, Agentic AI
https://t.co/ylKxPyW0KA
🧭 Principal
https://t.co/Mxt9akYiq6
Help us start this new chapter! #Hiring
Recommended reading for the weekend:
1. @alexandr_wang — Why I'm Building Muse
2. @gregisenberg — AI-native services: a $100B opportunity
3. @FranklnTempletn — Macro Views: Growth Holds, Pressure Builds
4. @Google — Behind Project Suncatcher, our moonshot to put AI in space
5. @EpochAIResearch — The plunging price of thought
6. @AnthropicAI — Measurements for
understanding the pace of AI development inside frontier labs
Hope everyone has a great weekend!
As a Third World country, we can’t keep skipping industrialization and jumping straight into digitalization. We cannot be talking about owning our own AI when we don’t have the electricity day to day activities less to talk about a data center
I’ll be talking about @learntocloud and how we built a free and open-source hands-on curriculum to take down predatory boot camps today at We Are Developers conference!
Today at 3:00 PM PDT
Stage 2
Khan Academy has an amazing financial literacy course that’s completely free. If you’re looking to strengthen your understanding of money, budgeting, credit, investing, and personal finance, I highly recommend starting there.
🔗 https://t.co/WvCqNPi5rc
Still hiring for Microsoft AI health team, looking for Applied AI Engineers, building eval frameworks and orchestration. London based role.
Also hiring fullstack SWE’s, to work in applied AI between foundation models and product! Tag a friend! #hiring#job#follow
MIT published a brutally honest report on what AI is doing to students.
A committee of professors and students spent five months studying how AI changed learning on campus, and the findings read like a warning to every university on the planet.
Study groups are disappearing. Office hours are emptying out. Problem sets and take-home exams no longer prove anything, because AI can produce credible solutions to almost any written assignment in the undergraduate curriculum. Students who lean on chatbots lose mastery and confidence, and some slip into what the report calls cognitive surrender, reaching for AI at the first hint of struggle.
The numbers are rough. 46 percent of surveyed MIT undergrads use LLMs daily. 90 percent worry about their own overreliance. Undergrads who feel AI makes them replaceable now outnumber those who feel it makes them capable.
The committee's answer surprised me. They refused to fight AI with surveillance. The report calls AI detectors unreliable, says lockdown browsers feel like spying, and warns that policing students builds a classroom atmosphere of mutual distrust.
Instead, MIT wants to rebuild education around the things AI can't replace. That means oral exams, semester portfolios, in-person project work, and a required social component in every subject. The report even floats the idea of rethinking grades entirely, since without a GPA to optimize, much of the incentive to cheat with AI evaporates.
The committee warns professors against replacing undergrad research assistants with AI agents just because they're cheaper, because a university exists to grow people, not output.
The most famous tech school on earth admitted the machines broke its way of teaching. Its answer is more humans, not more software.