Chanaka Jayasena

[Chanaka Jayasena @chanaka3d]

Terminator?

[Brian Roemmele @BrianRoemmele]

The US: “We must stop ALL AI NOW”

China:

[Brian Roemmele @BrianRoemmele]

The US: “We must stop ALL AI NOW”

China:

[Chanaka Jayasena @chanaka3d]

@MarioNawfal This is why he is not getting casted anymore.

[Min Choi @minchoi]

AI is getting out of hand 😂

[Interesting things @awkwardgoogle]

Indian factory workers wearing head-mounted cameras to record hand movements for training AI systems

[NO CONTEXT HUMANS @HumansNoContext]

Richest man in the world

[Zhao DaShuai 东北进修🇨🇳 Commentary @zhao_dashuai]

Unitree robot's incredible martial arts performance at the Chinese New Year gala.

And there's a final boss at the end.

[Codie Sanchez @Codie_Sanchez]

You eventually start to realize, no job is safe.

[Tansu Yegen @TansuYegen]

The best among the ones I've seen 👏

[Chanaka Jayasena @chanaka3d]

AI powered Sinhala news site.
https://t.co/RnuXwzE8pT

[Roribot.ai Labs LLC @roribotai]

We’ve updated our onboarding with a kid-friendly flow 🎉
Now includes 3 guided exercises with video + voice narration. Take a look 👇

[Chanaka Jayasena @chanaka3d]

@Rainmaker1973 #1

[ANI @ANI]

#WATCH | Delhi | On the arrest of Former Sri Lankan President Ranil Wickremesinghe, Journalist with Sri Lankan newspaper ‘The Island’ S Venkat Narayan says, "I'm surprised by his arrest. There is no corruption involved in what he did. He went to Cuba to attend a G77 summit. Then from Havana, he went to New York to attend the UN General Assembly. On the way back to Colombo, he stopped by in London. His wife, who is a professor of English, normally comes to Jaipur for the Jaipur Literary Festival. A local university invited both of them to a ceremony. From London, he stopped by and drove 200km to Wolverhampton... The expenses involved in Maitre's (Wickremesinghe's wife) travel were taken care of by her. The Sri Lankan government is saying that the 10 other people who went to Wolverhampton with them were government employees, and they used them for a private trip. And then they arrested him. This is not a corruption at all... The security has to be provided to the president, even if he is a private individual... The President of Sri Lanka cannot keep the security back and drive to Wolverhampton..."

[Wes Roth @WesRoth]

there's an AI researcher who is saying that AGI is 'almost here' and we are beginning to see progress milestones toward superintelligence...

and that we will enter the Singularity... this year.

get ready for this wild ride 🧵🔥👇
(continued)

[TechHalla @techhalla]

3. Car show
https://t.co/5ATiu43nxK

[elvis @omarsar0]

AI Agents vs. Agentic AI

Interesting paper summarizing distinctions between AI Agents and Agentic AI.

It also talks about the key ideas, solutions, and the future.

Here are my notes:

[Adam @AdameMedia]

The Chinese made another American re-industrialisation meme 😂

[David Leuliette @flexbox_]

React vs everyone

[John Rush @johnrushx]

What is MCP & why it's a big (huge) deal:

(model context protocol)

TLDR: MCP makes it possible for AI Tools to use external tools. E.g. Chatbot/IDE/AI-Agent can use Gmail/GoogleDrive/WeatherApp etc.

Detailed explanation for both, tech & non tech people (+demos):

1) AI Tools (chatbots, wrappers, agents, code generator, etc) wanna talk to external systems.

In pre-MCP world, one would have to write code to connect AI tool to the external system via API. Which meant every connection had to be pre-coded.

It also meant that every AI tool had to hard code its connection to every other tool. So if there are 1000 AI tools and 1000 external tools, then 1000000 hard-coded connections via API.

2) MCP is a standard protocol. This means that every AI tool has to implement this once, and then it can connect to thousands of external tools via this protocol.

3) The same goes for external tools. They all have to create an MCP server just once, and all AI tools that support MCP can connect to them.

4) It's a huge deal. Imagine 10k AI tools and 10k external tools now all have to implement MCP just once each. So it's 20k implementations. Versus 10k*10k=100M implementations.

5) This whole thing can also run on the cloud or on local computer.

See demos: