How can faculty use AI to turn passive consumers into active learners?
Watch @floridastateITS put @NotebookLM to work:
📈 Boosting exam readiness
🤝 Extending faculty impact
💡 Transforming study habits
Learn more: https://t.co/mBoDAfOfQl #AIinEducation#EdTech#FSU#FSUITS
If your manuscript is promising but not ready, the worst possible outcome is paying the wrong person too early. And, don't pay your publisher - - ever. If they ask for money, they are fleecing you.
We made a free Manuscript Readiness Packet to help authors figure that out honestly.
Get it here:
https://t.co/Elksdnga40
Your $5,000/month ghostwriter just became a $20/month Claude folder.
That's $60,000/year you stop paying.
→ No more 14 hours/month briefing someone who still strips your specifics out
→ No more voice drift by month 2 where you sound like them, not you
→ No more 10+ hour revision cycles that kill real-time optimization
→ No more AI slop reaching your feed with no quality gate
Just 21 Claude skill files. 9 folders. Drop into Claude. The entire LinkedIn content pipeline runs from there.
Here's what's inside:
→ Brand Memory Foundation (6-section context block. Every post sounds like you, not AI)
→ Hook Patterns Library (15 patterns. Templates behind posts hitting 9,000+ comments)
→ 8 Post Template Categories (authority, lead gen, myth-busters, story frames, engagement. Each with a trigger breakdown)
→ Voice Firewall (7-dimension scorecard. Kills slop before it ships)
→ ICP Profile Builder (your buyer's exact language, fears, and psychological triggers)
→ DM Opener System (fires on keyword comment. Qualifying question first, pitch never)
→ Visual Brief Generator (GPT Image 2 or designer handoff in 2 minutes)
Results from the same system:
- Posts hitting 9,020 comments. 5,400. 4,600. 3,800. 3,700.
- 50M+ views across LinkedIn
- The content infrastructure behind a $150K/month operation
Most people are still prompting Claude like it's Google.
This is infrastructure.
Like + comment "SKILLS" + repost, and I'll DM it to you.
(must be following)
I genuinely don't understand why everyone isn't using this yet
Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain.
You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets.
Here's the whole thing:
> Install Obsidian, create a vault, open it in Claude Code
> Paste Karpathy's wiki idea file and tell Claude to build it
> Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it
> Drop any source into raw and say "ingest this"
> Ask questions across everything, forever
Five minutes to set up, and you never start from a blank chat again.
Full step-by-step guide with Claude and Obsidian, link below.
Bookmark this
Anthropic engineers just showed how they build a full app from scratch, using a loop of agents
40 minutes from the team behind Claude Code
they used three agents: one to plan, one to build, one to judge, cycling until the app actually works
the winners won't have the smartest model, they'll have the best loop
watch it, then read the full guide on how to actually use loops below
Andrew Ng:
"100% of my tasks are now done by AI agents - hype has exceeded my expectations. Loops is next step.
in 3-6 months, everyone will be using self-improving loops. No more prompting."
In a 30-minute talk, Andrew Ng explains how to build self-improving agentic systems from scratch.
Worth more than a $500 agentic course.
@haider1 There will be new innovations. But managing persistent memory and specialized knowledge is an optimization issue. That's the road to it all. A multidimensional traveling salesman dilemma.
We built an entire education system to prepare kids for a world that no longer exists. We test memory in a world with infinite memory. We punish collaboration and call it cheating.
This needs to end.
Weekend reflection:
The most useful thing I built this week was not a feature. It was a question I started asking in every ProvenanceAI pilot and every ExactRush editorial meeting:
"What does the person on the other end of this actually need?"
The answer is almost never what I assumed.
700+ faculty signed a dissent letter against CU Boulder's OpenAI partnership.
This is what happens when AI adoption is treated as a technology decision instead of a governance decision.
Faculty opposition isn't about technophobia. It's about voice. Give it early. Mean it.
Screen-free activities that keep kids engaged.
Just For Today Books creates children's coloring books with playful designs and professional production quality. An imprint of ExactRush Multimedia Publishing.
Available on Amazon Prime.
"Act as an experienced academic advisor helping a first-generation student explore scholarships." Then ask your question.
This one adjustment upgrades your output significantly.
More skills: https://t.co/wuUg13R8UA
One of the simplest ways to dramatically improve your AI results takes about five seconds:
Tell the system who you want it to be.
This technique is called role-playing. It's surprisingly powerful.
Why this works:
Large language models draw on enormous amounts of text written by experts in every field.
When you invoke a role, you activate the patterns and conventions associated with that expertise.