Mr Li

[Tukaram Mundhe @Tukaram_IndIAS]

Really grateful for the words of encouragement.

Ensuring safe food for every citizen is a collective responsibility, and whatever we have been able to achieve is the result of the dedication of the entire Maharashtra FDA team & the cooperation of responsible stakeholders.

[Fabrizio Romano @FabrizioRomano]

🔴⚪️🔐 Bayern will not do any more signings this summer, announces director Eberl.

“We closed the transfers of Nene Brown and Ismael Saibari very quickly. I thought it was clear that we were done with incomings. I had to smile about the names being linked to us. There's 0% truth to these rumours”.

[Vash 💚☫❤️ @NumberOneGoy]

The so-called peaceful protestors...

[Robin Moffatt 🍻🏃🥓 @rmoff]

Casey Newton - A big week for AI denialism https://t.co/DPyC4sjZef

[Peak XV Partners @peakxvpartners]

A remarkable milestone for a team that’s been pushing the frontier of video for years. Great going @invideoOfficial @_sankyy

[Wes @wesbillman]

Buzz on the go is next level! Built with Flutter too 🐝

[Resend @resend]

Resend is growing quickly.

Hiring across Customer Success, Marketing, and Engineering.

If you want to help us bring world-class DX to email, join us.

[Josh Sirota @joshua_sirota]

we're moving out of our 188 king st office today.

some memories of this place:
- when i first moved in I had one desk, an air mattress on the floor, many packs of red bull and that's it
- there was no conference room so everyone took meetings on the balcony
- in march the whole team caught the flu and @MrDaveAllen had to join a call from the hospital

this room witnessed @EragonAI grow from 0 to a 12 people team across three continents, and time calls for a larger office to accommodate a bigger team (actively hiring more engineers) -- new office reveal soon 👀

[Praveen @praveentcom]

Most expensive domain purchase made. Got an .inc domain 😅

[Elliot Lindberg @robiot]

My first day at Lovable, Emil was the first engineer I talked to.

And I knew from that moment that this guy was cracked af.

It’s been amazing working together during our time at Lovable. This guy will cook 🫶

[Timo @TimoCodes]

Day 8 of not opening a single work email. The worst urge seems to be gone. Blocked teams too as did see some pings coming in.

Life is good and 22 days of paid vacation remaining.

[OSO @osodevops]

DevGovOps, A New Play in DevOps, or is It? https://t.co/SWtxZkhPsq

[Andrew Yang🧢⬆️🇺🇸 @AndrewYang]

As usual I will give my x earnings ($405.14) to someone who likes this post! Winner chosen at random on Sunday. For extra fun if the winner follows @joinnoblemobile I will DOUBLE it and if you are a Noble subscriber I will give you FIVE times the amount! Good luck! 😀🎉

[Michael Chen @michaelzchen5]

Training the best models de-commoditizes inference. If everyone serves the same model, the only thing left to compete on is price!

[Cameron England @iamcamengland]

You can double what you charge for the exact same work

Just by changing one thing:

How you describe it.

In marketing, new beats better. When people can't compare you to anything, they can't talk themselves out of it.

Real example from one of my own businesses. We run a med spa agency doing multiple seven figures a year. For a while our ads said "we'll run your ads and get you patients." Forgettable. Every agency says it.

We changed the words to "we generate financially qualified patients using our patient profit funnel."

Same service. The ads blew up.

Why? Because now the prospect has no past experience to measure it against. They can't look back and say "I already tried that." There's nothing to compare it to, so they're far more likely to book.

A friend of mine did it a different way. Everyone in his space sold Facebook ads. He moved the exact same offer to TikTok ads instead. His business blew up, purely from changing the channel.

You don't need a better mousetrap. You need one the market has no reference for.

Stop describing your offer the way everyone else describes theirs.

[Sahil @imsalariasahil]

Artificial Intelligence, Machine Learning, Deep Learning, and Data Science are often used interchangeably but they're not the same thing.

Here's a simple way to understand the relationship:

🧠 Artificial Intelligence (#AI) is the broad field focused on building systems that can perform tasks requiring human intelligence, such as reasoning, decision-making, language understanding, and problem-solving.

📊 Machine Learning (#ML) is a subset of AI that enables systems to learn from data instead of relying on explicitly programmed rules. The more quality data it receives, the better it becomes at making predictions.

🤖 Deep Learning (#DL) is a specialized branch of Machine Learning that uses neural networks with multiple layers to solve complex problems like image recognition, speech processing, autonomous driving, and generative AI.

📈 Data Science, on the other hand, overlaps with AI but isn't a subset of it. It focuses on collecting, cleaning, analyzing, and interpreting data to uncover insights that drive better business decisions. While Data Scientists often use AI and ML, their work also includes statistics, visualization, and data engineering.

In simple terms:

• AI is the vision.
• ML is how machines learn.
• DL is how machines solve highly complex problems.
• Data Science is how we turn data into meaningful insights.

Understanding these differences is becoming increasingly important as AI continues to reshape every industry from healthcare and finance to manufacturing, education, and beyond.

The better you understand these concepts today, the better prepared you'll be for the technology driving tomorrow.

[Mohit Mishra @mohitmishr93531]

Instead of watching an hour of Netflix,

watch this 2-hour Stanford lecture.

It'll teach you more about how LLMs like ChatGPT and Claude are built

than most people learn in their entire careers working at top AI companies.

Worth every minute.

[Mr Li @luckydragon68]

@anujcodes_21 1

[Zheng Li @zhengli_16]

@chideltatheta Is this really a "scheme" considering they are relatives...? Wake up, ladies. You're missing the point here.

[Mr Li @luckydragon68]

@1Chinatowngame dude I was talking about Edgar Laura and Zheng #chtown16