That's sad. #JOHNAIC remains committed to box business!

The weird part is - the loss actually didn't go down that much - it feels like some sort of noisy variation with barely any trend

Trained on a JOHNAIC! I think second one is odd one out.

Amazing to see how narrative changed from LLMs to retrieval models yet again. LLMs are generative while retrieval models are discriminative. You need to have both. Read about GANs. Don't fall for the hype that generative models aka genai is everything.

Nvidia makes you believe AI software works fine on their gpus. In reality, VLLM, one of the best inferencing frameworks doesn't work on Blackwell. Blackwell generation is a significant shake up compared to Hooper.

Announcing JOHNAIC 120: 120 GB GPU RAM in a complete cloud-in-a-box system! Read more: linkedin.com/posts/sasank-c…

I hate it when I have to work with vibe coders who don't even bother to read the code cursor generates. Me - Why did you put this code here? Vibe coder - cursor did it Me - but what does it do? Vibe coder - no clue So frustrating.

Sasank Chilamkurthy Those without strong fundamentals will make mistakes by over-relying on LLMs for coding. We need to ban LLM-based coding for those below a certain level of proficiency. After that, LLM use should be rather encouraged. Scared for the next generation. x.com/sasank51/statu…

Looks like code of an interpretor. norvig.com/lispy.html

Or consider JOHNAIC and move onprem!

People pay for radiology because it provides insane value for money. Seeing AI as a way to decrease this 'cost' has been proven a wrong perspective. Successful AI deployments see radiology + AI as a lever to create new care pathways. Radiology 'cost' becomes investment.

I'm happy today because I got to know that someone is building on top of indic-parler-tts. The outputs also sound very natural. Rooting for them to succeed.

Had fun doing viva for our JOHNAIC trainees on introduction to operating systems! Interns who pass our training programs, am sure, will kick ass! pages.cs.wisc.edu/~remzi/OSTEP/

MoE architecture is great for apple style unified memory systems. You can scale memory relatively cheaply. Perf won't be bad because only few of the weights are activated.

Me: Move to onprem, it cuts your cloud costs by 5-10x Developer: We don't care about cloud costs Me: OK sure Developer, now back to his stand-up call: Team, let's spend next 2 months optimizing cloud configuration to save 10% of cloud costs Me: 🤦

Our crazy week keeps going! We've updated a smaller Qwen3, called Qwen3-30B-A3B-Instruct-2507! Hope you all have fun playing with it locally! Guess what's next? 👨🏻‍💻

When you're on cloud, your data is no longer yours. Big tech cloud providers can suspend services at their whim if you're considered US enemy. This is the reason why our customers decide to go onprem. They can't afford to have this sort of risk.

Speed of PCB fab Execution in 🇮🇳 that made us get a FREE machine from Japan. Couple of years back when we were building a new PCB fab. A delegation including CEO,from a multibillion$ cos in 🇯🇵 visited our construction site. We told this plant will be functional in 3 months.

Agree with the sentiment. How about we start with repatriation of Zomato compute workloads back to E2E Networks Public Cloud or on prem Sovereign Cloud Platform ? Deepinder Goyal

In India, AI won’t replace humans to cut costs. It’ll replace middle management to save dignity. We’re building algorithms that watch workers - not because labor is expensive, but because trust is.