Rubal.eth

Aquarius. Techie. Startup. #Web3. Hodophile. Foodie.

[Rubal.eth @Rubal]

@ayesha_fatiima Usernames are indexed, sharded across thousands of servers, and cached in memory, so the system can jump directly to the record it needs. The lookup usually takes just a few milliseconds.

[Rubal.eth @Rubal]

@Akshatgoel1408 Robin SINGH?

[Rubal.eth @Rubal]

@duzelemiyorumki This worked for me. Yay

[Narendra Modi @narendramodi]

On the occasion of Bhagwan Mahavir Janma Kalyanak Diwas tomorrow, 31st March, the Samrat Samprati Museum at Koba Tirth will be inaugurated. The seven wings of this museum are dedicated to India’s glorious history and culture. Numerous rare relics, Jain artefacts and traditional heritage collections are also on display. It also showcases the exemplary Jain culture and the contribution of Jainism to humankind.

[Rubal.eth @Rubal]

Most AI limitations were never about intelligence.
They were about memory.

The biggest shift in AI development right now isn't model intelligence. It's the expansion of memory.

With 1 million token context windows becoming available in models like Claude Opus and Sonnet 4.6, AI systems can now work with roughly 750,000 words of information in a single prompt.

Until recently, development was heavily constrained by these limits. Engineering teams spent enormous effort building complex RAG pipelines, chunking data, and compressing prompts because models could only process small slices of a codebase. Worse, they lost context during longer workflows entirely.

Large context models are starting to change that.

Early signals suggest they can now maintain coherent reasoning across massive inputs, unlocking the ability to:

- Process large repositories and documentation sets
- Reason across interconnected files and system architecture
- Support longer running, autonomous AI agents

An interesting side effect: as context windows grow, many AI systems may begin shifting from retrieval heavy architectures toward memory first designs. Models can reason over large shared contexts instead of constantly fetching small chunks through RAG pipelines.

This represents a subtle but important shift.

We are moving from asking AI to "answer this isolated question" to asking it to "understand this entire system."

For engineering teams, that means less aggressive context engineering and simpler AI development pipelines.

And ultimately, it moves AI from being a narrow coding tool toward something much more powerful.

An AI collaborator that can actually see the big picture.

https://t.co/bIT7z0T9ak

[Rubal.eth @Rubal]

@shekhu04 @haha_girrrl Which Claude or ChatGPT can change if we give them a prompt saying it’s wrongly picked as a copyright audio.

[Rubal.eth @Rubal]

Congrats Team India #T20WC2026

[Rubal.eth @Rubal]

@Wisdom_HQ Purple

[Rubal.eth @Rubal]

@Gaurav_7887 23 years

[HackerRank @hackerrank]

"Claude usage limit reached. Your limit will reset at 7 AM"

[Rubal.eth @Rubal]

@businessbarista Claude

[Rubal.eth @Rubal]

Is #Claude down or it’s just me??

[Rubal.eth @Rubal]

@CyberRacheal Definitely MDM (Mobile Device Management). It’s built exactly for enforcing uniform policies across all mobile devices.

[Rubal.eth @Rubal]

The main issue here is that your reads and writes are fighting for the same resources. A few things usually fix this pretty quickly:

• Move writes to the primary DB and serve reads from replicas
• Put a caching layer (Redis, etc.) in front so most read traffic never even touches the database
• If the system is growing, consider CQRS so your write side and read side don’t step on each other
• And push heavy writes through an async queue so your API isn’t waiting on them

Once you separate the paths, read latency drops a lot because reads stop getting blocked behind slow writes.

[Rubal.eth @Rubal]

@BholanathDutta Answer is 19. Multiplication first and then add everything

[Rubal.eth @Rubal]

@cyb3rshi3ld Hi

[Rubal.eth @Rubal]

@rork RORK

[Rubal.eth @Rubal]

@ShreyaYadav___ Prompt

[Rubal.eth @Rubal]

If Your Business Dies When the Internet Breaks… You Don’t Have a Business. https://t.co/yFMY6LGmdP via @LinkedIn

[Rubal.eth @Rubal]

11:11