Syed Nashet Ali

Senior Software Development Engineer -Cloud/ Innovator at L&T/ Ex-TCSer | Ex-Cognizant Technology Solutions Corporation (USA)| Author| Cloud Expert/Tech Speaker

[Elon Musk @elonmusk]

Another 𝕏 peak usage record this week

[Elon Musk @elonmusk]

Try Grok Imagine. It keeps getting better.

[CIA Director John Ratcliffe @CIADirector]

Teamwork at its finest. Proud to serve under @realDonaldTrump 🇺🇸

[Khusboo Tayal @KhusbooT14835]

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[Grace Zhang @GZinMetaverse]

DM if you want to sponsor, judge, bring your own robots or just have interesting ideas to share!

[Grace Zhang @GZinMetaverse]

We’re hosting the largest Physical AI hackathon at Founders Inc (Jan 31–Feb 1) 🤖

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[Aiden Tech @Aiden_Tech_Ai]

I'm deleting this soon because it's a legit cash-printing formula.

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[Elon Musk @elonmusk]

Yes

[BRICS News @BRICSinfo]

JUST IN: 🇨🇳🇺🇸 China calls for the United States to release Nicolás Maduro.

[Syed Nashet Ali @NashetKing]

@CoinMarketCap Incredible inactive accounts @BithumbOfficial !!!!

[Syed Nashet Ali @NashetKing]

@CoinMarketCap Incredible inactive accounts @BithumbOfficial !!!!

[CoinMarketCap @CoinMarketCap]

LATEST: ⚡ South Korean exchange Bithumb has identified over $200M in crypto sitting dormant across 2.6M inactive accounts, with some balances untouched for nearly 12 years and posting returns exceeding 61,000%.

[Mario Nawfal @MarioNawfal]

🇺🇸 CATHERINE HERRIDGE: CBS WALKED AWAY FROM ELON BECAUSE THEY COULDN’T CONTROL HIM

Catherine revealed CBS passed on what could have been one of the biggest interviews in modern media, not because Elon refused, but because the network did.

She said discussions were underway after her work connected to the Twitter Files, and an opportunity emerged to interview Elon live on his own platform.

That’s when everything stalled.

“I went to the CBS executives and I said, this is the opportunity that we have.

He’s saying, I want to do it live and on my platform.

He’s one of the most influential human beings on the planet.

And the reaction from the executives was, well, we can’t do it live.

And I was like, what do you mean we can’t do it live?

They said, we don’t know what he’s going to say.

And I’m thinking, isn’t that the point of journalism?

They said it has to be taped.

We have to be able to edit it. It has to be on our platform.

We have to control the platform.

Everything just got shut down.

It was one of the biggest interviews you could ever have.

I felt ashamed. I never went back to Elon to say they want to do it, but only if they can control it.

I couldn’t do that to someone whose DNA is free speech.”

Source: @C__Herridge

[Derya Unutmaz, MD @DeryaTR_]

Here is my top AI list of 2025:

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2. Claude Opus 4.5 + Code
3. Nano Banana Pro
4. NotebookLM
5. Sora 2 app
6. Grok imagine
7. Manus AI
8. Suno v5
9. OpenAI Atlas browser
10. ChatGPT Pulse
11. X integrated Grok
12. Replit
13. Gemini 3 Pro Deep Research
14. Veo 3.1

[Aurimas Griciūnas @Aurimas_Gr]

Integrating 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗔𝗚 Systems via 𝗠𝗖𝗣 👇

If you are building RAG systems and packing many data sources for retrieval, most likely there is some agency present at least at the data source selection for retrieval stage.

This is how MCP enriches the evolution of your Agentic RAG systems in such case (𝘱��𝘪𝘯𝘵 2.):

𝟭. Analysis of the user query: we pass the original user query to a LLM based Agent for analysis. This is where:

➡️ The original query can be rewritten, sometimes multiple times to create either a single or multiple queries to be passed down the pipeline.
➡️ The agent decides if additional data sources are required to answer the query.

𝟮. If additional data is required, the Retrieval step is triggered. We could tap into variety of data types, few examples:

➡️ Real time user data.
➡️ Internal documents that a user might be interested in.
➡️ Data available on the web.
➡️ …

𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝗠𝗖𝗣 𝗰𝗼𝗺𝗲𝘀 𝗶𝗻:

✅ Each data domain can manage their own MCP Servers. Exposing specific rules of how the data should be used.
✅ Security and compliance can be ensured on the Servel level for each domain.
✅ New data domains can be easily added to the MCP server pool in a standardised way with no Agent rewrite needed enabling decoupled evolution of the system in terms of 𝗣𝗿𝗼𝗰𝗲𝗱𝘂𝗿𝗮𝗹, 𝗘𝗽𝗶𝘀𝗼𝗱𝗶𝗰 𝗮𝗻𝗱 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗠𝗲𝗺𝗼𝗿𝘆.
✅ Platform builders can expose their data in a standardised way to external consumers. Enabling easy access to data on the web.
✅ AI Engineers can continue to focus on the topology of the Agent.

𝟯. Retrieved data is consolidated and Reranked by a more powerful model compared to regular embedder. Data points are significantly narrowed down.
𝟰. If there is no need for additional data, we try to compose the answer (or multiple answers or a set of actions) straight via an LLM.
𝟱. The answer gets analyzed, summarized and evaluated for correctness and relevance:

➡️ If the Agent decides that the answer is good enough, it gets returned to the user.
➡️ If the Agent decides that the answer needs improvement, we try to rewrite the user query and repeat the generation loop.

Learn how to handle Agentic RAG system with data sources via MCP hands-on in my End-to-end AI Engineering Bootcamp. Next cohort kicking off on January 12th: https://t.co/gWBu8OLTzn

🎁 Code NYRESOLUTION for 10% off.

Are you using MCP in your Agentic RAG systems? Let me know about your experience in the comment section 👇

[Google Quantum AI @GoogleQuantumAI]

Quantum advantage is a core concept in quantum computing, but can it be explained in simple terms? In our new series, Hard Quantum Words, watch to see our researchers take on the challenge.

[Elon Musk @elonmusk]

Yup

[Syed Nashet Ali @NashetKing]

Happy New Year 2026 to all visionary coders, CIOs, and CTOs shaping tomorrow's digital landscape! As we bid farewell to 2025, let's embrace a year where AI-fueled coding slashes development cycles to minutes...

[Microsoft Copilot @Copilot]

How do you make a 3D model? Upload an image to Copilot. Click once. Done. Learn more about Copilot 3D in Copilot labs here: https://t.co/ZfXnB80cKi

[Syed Nashet Ali @NashetKing]

@mustafasuleyman @Copilot @MicrosoftAI Amazing implementations by @Copilot and @MicrosoftAI !!!!