AI/Machine Learning, Bharat and Bhartiya IT Industry

[bala]

The tryanny of AI posts is that those who use them extensively slant it towards their viewpoint, which is easy to tailor prompts (i.e. engineer the prompts so that it is favorable towards your viewpoint) to get LLMs to generate your nonsense. But the Human mind is more adept in discerning such wanton slanting of opinions. Also facts are driven by RAGs (tis an AI component for LLMs) and these RAGs are biased "facts" which is taken as gospel truth.

[williams]

IMO first we need to be clear what Generative AI is all about. It is just a statistically most probable predictor of the next thing based on current context. Agents (and are planners) are automators of this predicting mechanism. So it is just a tool which could be used to eliminate routine boiler plate tasks without much scrutiny. Things like spell check, grammar check, generating basic code, music, video etc can by done and hence save a lot of time.

Then comes the issue of going beyond boiler plate tasks. Here it is necessary for a subject matter expert to review and use what is worth and reject what is not worth. We are going through the same phase when engineers debated about use of calculators. I still have my Dad's slide rule and I have seen him using it before transitioning to calculators. Point is, these are tools to augment human capacity. For AI to work you need good data and a good model. The former (data) is where people need to put a lot of serious effort. The paradigm is shifting and we better learn to adapt to it.

[Vayutuvan]

I love my Aristo.

[Vayutuvan]

Chinese grey market sells Claude API access at 90% off by using stolen credentials, model substitution, and harvesting users' prompts and outputs for resale as AI training data — 'transfer stations' operate through proxy networks that harvest user data
May 9, 2026

https://www.tomshardware.com/tech-indus ... -user-data

A grey-market economy of API proxy services in China is reselling access to Anthropic's Claude models at as little as 10% of the official price, according to an investigation published Monday by Oxford China Policy Lab researcher Zilan Qian.

The proxy networks, known in Chinese developer communities as "transfer stations," operate openly on platforms including GitHub, Taobao, and Telegram, and sustain their rock-bottom pricing through a combination of stolen credentials, model substitution, and harvesting users' prompts and outputs for resale as AI training data.

These findings give credence to the warnings issued in recent weeks by both the White House and Anthropic, the former of which accused Chinese entities in late April of running “industrial-scale” distillation campaigns against U.S. frontier models using tens of thousands of proxy accounts. Anthropic disclosed similar activity in February, identifying roughly 24,000 fraudulent accounts linked to Chinese labs, including DeepSeek, Moonshot AI, and MiniMax.
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[uddu]

https://x.com/i/status/2054110579300958609
@c_aashish
Sarvam is now preparing to train its first trillion-parameter AI model within next nine months, marking what could become a major milestone for the country’s indigenous AI ambitions.