Ram Mishra @ram_cse
Lead Consultant @Genpact || International Fellow @fastai || #MeitY #CDAC #DeepLearning #AI #ComputerVision #MachineLearning New Delhi, India Joined October 2013-
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By popular request: you can now branch conversations in ChatGPT, letting you more easily explore different directions without losing your original thread. Available now to logged-in users on web.
By popular request: you can now branch conversations in ChatGPT, letting you more easily explore different directions without losing your original thread. Available now to logged-in users on web. https://t.co/CpVehkULOB
BREAKING: Apple is planning an AI-powered web search tool to compete with ChatGPT and Perplexity for next year. It’s also currently leaning towards working with Google to help power part of a Siri overhaul. bloomberg.com/news/articles/…
Finally: Meta is launching Instagram for iPad. bloomberg.com/news/articles/…
Join us for a special Apple Event on 9 September at 10:30 PM IST. Tap the ❤️ and we’ll send you a reminder on event day.
NEW: Anthropic has closed its latest mega round for higher than expected, $13B at a $183B post money valuation bloomberg.com/news/articles/…
Also it's trained on AMD
Some notes on the insecurity baked into Perplexity's Comet "AI Browser" - the Brave security team reported serious prompt injection vulnerabilities in it, but Brave themselves are developing a similar feature that looks doomed to have similar problems simonwillison.net/2025/Aug/25/ag…
Russia’s Secret Blizzard just did something scarier than phishing → They hacked the root of trust—bypassing MFA and silently stealing “secure” traffic. When TLS itself is broken, FIDO and MFA collapse. How to defend against state-level attacks ↓ thehackernews.com/expert-insight…
This looks like a really big deal! :O And it's under a commercially-usable open license.
We just launched ChatGPT Go in India, a new subscription tier that gives users in India more access to our most popular features: 10x higher message limits, 10x more image generations, 10x more file uploads, and 2x longer memory compared with our free tier. All for Rs. 399. 🇮🇳
Couldn't resist. Here's a pure PyTorch from-scratch re-implementation of Gemma 3 270M in a Jupyter Notebook (uses about 1.49 GB RAM): github.com/rasbt/LLMs-fro…
Couldn't resist. Here's a pure PyTorch from-scratch re-implementation of Gemma 3 270M in a Jupyter Notebook (uses about 1.49 GB RAM): github.com/rasbt/LLMs-fro… https://t.co/9vF9U29pWh
This one paper might kill the LLM agent hype. NVIDIA just published a blueprint for agentic AI powered by Small Language Models. And it makes a scary amount of sense. Here’s the full breakdown:
AI Agents are terrible at long-horizon tasks. Even the new GPT-5 model struggles with long-horizon tasks. This is one of the most pressing challenges when building AI agents. Pay attention, AI devs! This is a neat paper that went largely unnoticed. Here are my notes:
If you’re an educator and planning to introduce a new concept to kids, here’s how I use @GeminiApp Storybook feature + @NotebookLM to make it easier for them: • NotebookLM creates a complete study guide from the material you provide. • Storybook turns that guide into…
The vast gulf between all of our actual daily experience with LLM improvements plateauing, vs what some researchers claim is going on, is pretty interesting. You can't properly understand AI progress without using the models for real work every day.
The vast gulf between all of our actual daily experience with LLM improvements plateauing, vs what some researchers claim is going on, is pretty interesting. You can't properly understand AI progress without using the models for real work every day.
GPT-5 isn't ready for production agentic work. Kimi might be. More receipts (as with any good accounting) Ran GPT-5 with Opus 4.1, but it took so long I ended up running 3 models while waiting for GPT-5 to finish. Runs here are a bit hyper-verbal, so my quick annotation: 1.…
I'm really stoked to share progress on my FastHTML playground app. Today not only did I get databases working, you also get a db browser too to see the schema structure and row content! 🤯
It seems the closed-source vs open-weights landscape has been leveled. GPT-5 is just 10% better at coding than an open-weight model you can run on a consumer desktop and soon laptop. If Anthropic cannot come up with a good model, then we will probably not see AGI for a while.
Not a great look that after presenting GPT5's reduced hallucinations, their first example repeats a common error of how plane wings generate lift ("equal transit theory").

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