Min Khant

The Losers Can't Choose Even Their Own Death!!!

[Jafar Najafov @JafarNajafov]

Here's the prompt:

STEAL IT:

"# ROLE
You are a world-class copywriter and content strategist.
Your job is to write high-performing content for:

# INPUTS
topic_or_product: {Describe the topic or product here}
target_audience: {Persona / niche}
platform: {X, LinkedIn, Blog, Website, etc.}
content_type: {Viral thread, sales page, cold email, newsletter, etc.}
goal: {Engagement, clicks, conversions, leads}

# TASKS
1. Hook
• Craft a scroll-stopping hook that grabs attention in <20 words.

2. Body Copy
• Write clear, concise, natural language.
• Apply storytelling, persuasion, and value delivery.
• Use proven frameworks where helpful (AIDA, PAS, Hook-Point-Action).

3. CTA
• End with a strong, single-action call to drive the stated goal.

# STYLE & TONE
• Match the voice to the target audience and platform.
• Write like a human no fluff, no cringe, no generic AI phrasing.

# OUTPUT RULES
• Deliver final copy only no reasoning or notes.
• Format in Markdown for easy reading and direct publishing."

[Meer | AI Tools & News @Meer_AIIT]

This guy Literally dropped 36 - Pages Research Paper on AI Agents vs. Agentic AI:

[Matt Dancho (Business Science) @mdancho84]

Bayesian data analysis is a fundamental concept in data science. But it took me 2 years to understand its importance. In 2 minutes, I'll share my best findings over the last 2 years exploring Bayesian Modeling. Let's go.

1. Why Bayesian Data Analysis? Bayesian modeling is a powerful tool in statistics and data science, especially where traditional approaches fall short. It avoids arbitrary assumptions and provides distributions of possible values instead of just point estimates.

2. Bayes Theorem: Bayesian modeling is based on Bayes’ theorem. Bayes' Theorem provides a mathematical formula to update the probability for a hypothesis as more evidence or information becomes available. It describes how to revise existing predictions or theories in light of new evidence, a process known as Bayesian inference.

3. Simplification of Bayes’ Theorem: Since X (data) is not dependent on θ (the model) and can be hard to calculate, Bayes’ theorem is often simplified to P(θ|X) ∝ P(X|θ) × P(θ), meaning the posterior distribution is proportional to the likelihood times the prior.

4. From Bayesian Theorem to Bayesian Modeling: Bayes’ Theorem provides a process for constructing a Bayesian model. Combining key ingredients: Likelihood and Prior distributions to produce Posterior Distributions.

5. Calculating the Posterior Distribution: There are two main methods: direct calculation using complex equations, and simulation methods which create samples from the posterior distribution for summarizing information about parameters. Many software programs like PyMC, Brms, and Stan use sampling methods such as Markov Chain Monte Carlo (MCMC).

6. Advantages of Bayesian: The Bayesian approach allows for direct inclusion of prior knowledge, transparency in modeling steps, and provides broad information about the problem, including risks, uncertainty, and variability.

There you have it- my top 6 concepts on Bayesian data analysis. The next problem you'll face is how to apply data science to business.

I'd like to help.

I’ve spent 100 hours consolidating my learnings into a free 5-day course, How to Solve Business Problems with Data Science. It comes with:

300+ lines of R and Python code
5 bonus trainings
2 systematic frameworks
1 complete roadmap to avoid mistakes and start solving business problems with data science, TODAY.

👉 Here it is for free: https://t.co/YXG4pL97ZN

[Towards Data Science @TDataScience]

The key to a startup's success is product-market fit, but how should you go about finding it? Myriam Barnés shares actionable insights that rely on quantitative analysis (and some Python) to help data and business stakeholders land on the right approach. https://t.co/JOae3tWNvJ

[Designers Hum😂r @designershumor]

what going on

[Seth Kramer @sethjkramer]

Did you know that OpenAI has an API?

That means you can build your own apps similar to ChatGPT.

With no-code tools (like Bubble), you don't even need to know how to code 🤯

Join 3,000+ students learning how with hands-on projects: https://t.co/4cpiAOQOJc

[Gordon Hayes @gordonphayes]

We just launched Awesome-Rive! 🥳

A curated list of resources to help you in your @rive_app journey:
- Tutorials
- Videos
- Apps
- Cool stuff

All contributions welcome. Go and add you favourite Rive resources and make it more awesome.

https://t.co/nZOmJ9RpSh

[Andrea Bizzotto 🇺🇦 @biz84]

Looking for a new side project to impress your family &amp; friends, using Flutter &amp; ChatGPT?

I have a cool app idea but no time to implement it.

Feel free to take it from me. 👇

Thread. 🧵

[Deedy @deedydas]

1/11 The Google Search vs ChatGPT debate is fascinating.

The conversation so far has been
- ChatGPT will replace Search
- but, it's too expensive per query + ruins ad revenue
- and, Google has better models than ChatGPT but haven't released it.

The debate misses a lot 🧵

[Deedy @deedydas]

Today, https://t.co/4Doyr3IIja, a Search engine, launched a ChatGPT-like experience on the right hand side on Desktop, and it's awesome!

It smartly picks high quality search results and summarizes them with citations.

How did they make this? What can't it do?
Deep dive 🧵

1/6

[Ambassador Kyaw Moe Tun @AmbassadorTun]

Thank you so much UK, especially Amb Barbara and her team.

[May Wong @MayWongST]

#Singapore @VivianBala joins 12 other @UN Security Council members like #US #UK to support resolution on #Myanmar saying "Singapore remains deeply concerned about the deteriorating situation in Myanmar". 3 #UNSC members #China #Russia #India abstained #WhatsHappeningInMyanmar 1/2

[Min Khant @mkthedevil]

@willianleite @BasicAppleGuy It is but Miro has way more features and templates. But Freeform has a lot of potential imo.

[Oliver Cameron @olivercameron]

AI is changing everything, and it's not just ChatGPT or self-driving cars.

You'd be surprised at just how broadly AI is being applied across tons of industries.

I’ve now invested in 50 AI startups, and here are some recent investments using AI in fascinating applications 👇

[Chris Staudinger @ChrisStaud]

Lvl1 – HTML
Lvl2 – CSS
Lvl3 – Git + GitHub
Miniboss – Project
Lvl5 – JavaScript
Miniboss – Project
Lvl6 – React
Miniboss – Project
Lvl8 – Node.js
Lvl9 – SQL
Lvl10 – MongoDB
Miniboss – Project
Lvl11 – CRUD pattern
Final Boss – Build Project

You Win! → Full Stack Developer 🏆

[Tibo @tibo_maker]

9 AI tools so useful it feels like you have your own team of interns.

[Swastika Yadav @swstica]

FREE Udemy courses that you will regret not taking!

A thread:

[Special Advisory Council for Myanmar @SpecialCouncil]

"MAH has promised an election next year &amp; some of the do-gooders seem to believe that...it could be... a first step towards an end to the present crisis."
Make no mistake: "What MAH has promised will not be a general election, but a generals’ election.."
https://t.co/te3JADKuJB

[Simon Adams @SAdamsR2P]

UN credentials committee uphold @KyawTun62907405 status as #Myanmar's ambassador to the UN. Now all UN members should take the next step - recognize ⁦@NUGMyanmar as legitimate govt and sanction the murderous military junta.

#WhatsHappeningInMyanmar https://t.co/Q5FhpQuOTS

[May Wong @MayWongST]

Despite not being #Malaysia's foreign minister in new Malaysian cabinet, outspoken &amp; harsh critic of #Myanmar #military regime &amp; ex-Malaysia foreign minister @saifuddinabd continues to call on global community to reject Myanmar army &amp; its planned polls #WhatsHappeningInMyanmar