Kevin P. Monaghan

Principal IT Architect

[Kevin P. Monaghan @kpmonaghan]

Summer fermented fruit tea combines different seasonal fruits, using fermentation to enhance its aroma. Its mellow, sweet and sour flavor offers more depth than standard cold drinks, providing a sense of seasonal ritual. 👳Buying Fruits: The avocado is ripe.

[Kevin P. Monaghan @kpmonaghan]

Endurance swimming develops perseverance, teaching people to persist through fatigue and fostering a resilient spirit in sports. Guitar music is also learned.

[Kevin P. Monaghan @kpmonaghan]

🦮Tennis with son He, learning281400

[Kevin P. Monaghan @kpmonaghan]

随着冬去春来，积雪消融，石楠花绽放，荒原重焕生机。克拉拉和托马斯整日在外探索、嬉戏，并了解他们的祖先以及塑造了他们的爱。屋子里弥漫着巧克力坚果饼干的香气。

[Kevin P. Monaghan @kpmonaghan]

In the dead of night, late-night snacks provide a consistent sense of security. Their warmth and familiar taste offer stability and comfort amidst the silence.🍭An unknown number calls on the phone.

[Kevin P. Monaghan @kpmonaghan]

They strolled along the coastal path amidst the sound of crashing waves, as sunlight pierced the clouds to bathe the town in a warm glow, seemingly a smile from the heavens. We are the representatives of the manufacturing industry, undertaking ordinary work with extraordinary re

[Kevin P. Monaghan @kpmonaghan]

I returned to my desk with my coffee. Checking my phone, I saw a message from Mia: "How's work? Send a selfie—I miss you." Laughing, I leaned back and took a selfie at my desk with my laptop open. 🦜The cat is playing with a mouse toy.

[Kevin P. Monaghan @kpmonaghan]

During exhausting training sessions and challenging matches, every instance of mutual encouragement and support strengthens the players' sincere and dependable teamwork.🐭Keep going until you are proud of yourself.

[Kevin P. Monaghan @kpmonaghan]

He pleaded for mercy, offering her wealth, power, or whatever she desired, but Elara remained indifferent. She dragged him into a small room and shut the door, trapping him inside.

[Kevin P. Monaghan @kpmonaghan]

A cat dozes on a chair, resting on a woolen cushion. As each morning jog progresses, the natural world gradually stirs to life. The subtle scent of wildflowers drifts through the breeze, haze hangs above the verdant meadows, and the steady beat of running allows you to completel

[Kevin P. Monaghan @kpmonaghan]

If you're in need of some comfort today, try grabbing a few shengjian buns—they're wonderfully soft and practically dissolve on your tongue.

[Elora khatun @elora_khatun]

🚨 BIG: Anthropic just dropped 13 FREE AI courses (with certificates)

No paywalls. No fluff.
Just real skills to learn Claude the right way 👇

📌 Start here (Beginner friendly):
1. Claude 101
🔗 https://t.co/F7MtOcQBj5

2. AI Fluency: Framework & Foundations
🔗 https://t.co/EezXfL5GlO

📌 For Developers (build real AI apps):
3. Building With The Claude API
🔗 https://t.co/gRKuEArhVK

4. Introduction To Agent Skills
🔗 https://t.co/nhqhICVJsF

5. Claude Code In Action
🔗 https://t.co/kWfHkySEPh

6. Introduction To Model Context Protocol
🔗 https://t.co/MAQIqE78F1

7. MCP: Advanced Topics
🔗 https://t.co/xVnHqBly6U

8. Claude With Amazon Bedrock
🔗 https://t.co/lBR9yvGPVN

9. Claude With Google Cloud Vertex AI
🔗 https://t.co/jWDcDz1o35

📌 For Educators, Students & Teams:
10. Teaching AI Fluency
🔗 https://t.co/aUOgbN9Bsm

11. AI Fluency For Educators
🔗 https://t.co/epeArMgfR6

12. AI Fluency For Students
🔗 https://t.co/Xl384F5KRP

13. AI Fluency For Nonprofits
🔗 https://t.co/4hRGbBsr74

💡 BONUS:

Anthropic also shares free Jupyter Notebook tutorials on GitHub:
• API fundamentals
• Prompt engineering
• Real-world prompting
• Evaluations
• Tool usage

This is basically a complete AI curriculum for $0 💰

Most people will save this and never start.
If you actually go through it → you’re ahead of 95%.

🔖 Bookmark this
🔁 RT to help others
💬 Comment "AI" for roadmap

✅ Follow @elora_khatun for more high-signal AI content 🚀

[Kevin P. Monaghan @kpmonaghan]

@Amer1can_Barbie Thanks, Obama!

[Kai Wähner @KaiWaehner]

#MessageBrokers and #ApacheKafka are not interchangeable.

A broker handles point-to-point messaging. A #DataStreamingPlatform is the backbone of modern enterprise architectures.

Integrate or migrate? Or #QueuesForKafka?

https://t.co/KW2uBHuW5u

#JMS #IBMMQ

[Vincent Russo @captainhamptons]

New preprint with @NathanielMath: "Distinguishability of locally diagonal orthogonally invariant quantum states" Optimal measurements preserve LDOI structure, reducing optimization from n^4 to O(n^2) variables. For two-qubit cases: LOCC = SEP = PPT.
https://t.co/QR42cfdJs3

[Movez @0xMovez]

This 1 hour MIT lecture on "Probabilistic Analysis" using Markov Chains will teach you more about prediction markets than a 2-month Wall Street Quant firm internship.

Bookmark this & give it 1 hour today, no matter what. It’s the most productive start you can give your week. Then read article below

[Ihtesham Ali @ihteshamali]

A MIT student figured out how to compress an entire semester of lecture content into one 90-minute study session.

He calls it "context stacking," and it's the most unfair thing I've seen done with NotebookLM.

I asked him to walk me through it. He did. I haven't studied the same way since.

Here's exactly what he does.

Two days before each lecture, he uploads everything into NotebookLM. The assigned readings, the previous week's slides, 3 or 4 related papers he finds himself, and any problem sets that are still open.

Most students wait for the lecture to explain the material. He walks in having already built a mental model of it.

That's step one. But it's not the move that makes it unfair.

The first prompt he runs across all of it:

"What are the 5 core concepts this week's content is built on, and how do they connect to what I studied last week?"

Not summarize. Not define. Connect.

NotebookLM pulls threads across everything he uploaded simultaneously. It surfaces relationships between ideas that would take a normal student weeks of review to notice. He gets that map before the lecture even starts.

Then he runs the prompt that does most of the work.

"What would I need to genuinely understand about this material to be able to teach it to someone with zero background in this subject?"

That question is doing something most students never force themselves to do. It exposes exactly where his understanding is solid and exactly where it's hollow. The gaps show up immediately, and he spends the rest of the 90 minutes filling only those gaps.

Not reviewing what he already knows. Only fixing what he doesn't.

The final prompt is the one that separates context stacking from every other study method I've heard of.

"What question could a professor ask about this material that would expose a student who understood the surface but missed the underlying logic?"

He's not studying for the exam he expects. He's studying for the exam designed to catch people who only think they understood it.

By the time he sits in the lecture hall, the professor is not teaching him anything new. The professor is confirming what he already mapped, filling in a few details, and occasionally surprising him with something he didn't anticipate.

That surprise is the only thing he writes down.

Most students leave a lecture hoping the material will eventually click.

He walks in with it already clicked, and uses the lecture to find out what he missed.

That's not a study hack. That's a completely different relationship with learning.

[Math Cafe @Riazi_Cafe_en]

MIT's "Foundations of Reinforcement Learning & Interactive Decision Making"

PDF: https://t.co/3jjQ0SRHk4

[Movez @0xMovez]

This 1 hour lecture on "Probability Theory" from MIT will teach you more about prediction markets than 2 month internship at at a Wall Street Quant firm.

Bookmark this & give it 1 hour today, no matter what. It’s the most productive start you can give your week. Then read post below.

[Vaishnavi @_vmlops]

Agentic AI Systems
Interview Q&A Guide

https://t.co/JamgZPpOtP