Debasish Ray Chawdhuri, Talentica Software

DataDecisionMakers Author

Debasish Ray Chawdhuri is a Ph.D. researcher in cryptography and a senior principal engineer at Talentica Software, a global product development company that helps startups build their own products. Debasish is an IIT Delhi alumnus and a researcher who has worked closely with founders of high-growth startups and enabled the adoption of emerging technologies like Blockchain. He has published several research papers on privacy, cryptocurrency, smart contracts and cryptography on prominent platforms like IEEE, Springer and authored a renowned book on data structure and algorithms.

LLMs can think

Large reasoning models almost certainly can think

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of Thinking" Apple argues that LRMs must not be able to think; instead, they just perform pattern-matching. The evidence they provided is that LRMs with chain-of-thought (CoT) reasoning are unable to carry on the calculation using a predefined algorithm as the problem grows.

Debasish Ray Chawdhuri, Talentica Software
VentureBeat/Midjourney

DeepSeek's success shows why motivation is key to AI innovation

January 2025 shook the AI landscape. The seemingly unstoppable OpenAI and the powerful American tech giants were shocked by what we can certainly call an underdog in the area of large language models (LLMs). DeepSeek, a Chinese firm not on anyone’s radar, suddenly challenged OpenAI. It is not that DeepSeek-R1 was better than the top models from American giants; it was slightly behind in terms of the benchmarks, but it suddenly made everyone think about the efficiency in terms of hardware and energy usage.

Debasish Ray Chawdhuri, Talentica Software