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Source: Live Mint The Dartmouth meeting did not mark the beginning of scientific inquiry into machines which could think like people. Alan Turing, for whom the Turing prize is named, wondered about it; so did John von Neumann, an inspiration to McCarthy. By 1956 there were already a number of approaches to the issue; historians…
Source: Live Mint Large language models have a keen appetite for electricity. The energy used to train OpenAI’s gpt-4 model could have powered 50 American homes for a century. And as models get bigger, costs rise rapidly. By one estimate, today’s biggest models cost $100m to train; the next generation could cost $1bn, and the…
Source: Live Mint OpenAI has released a new series of models codenamed o1 with ‘reasoning’ capabilities that are designed to spend more time before responding to users’ queries. The new model is immediately available for use and is said to have the ability to perform more complex tasks that were thought possible by previous models. …
Source: Live Mint Sam Altman led AI startup OpenAI has announced GPT-4o, the company’s most cost effective model to date. The model is being seen as an attempt by OpenAI to stay relevant with increasing competition from more deep pocketed rivals like Google and Meta. GPT-4o Mini (O stands for Omni), will replace GPT-3.5 Turbo…
Source: Live Mint After months of rumours, Sam Altman’s startup OpenAI has finally unveiled a search engine competitor to Google called SearchGPT. The new feature is currently in ‘prototype’ stage and is only available via a waiting list, but is expected to be rolled out to all users in the future. In a blogpost about…
Source: Live Mint Since AI’s most popular offering, OpenAI’s ChatGPT, debuted two years back and made esoteric AI tech accessible to the masses, there has been excitement over intelligent machines taking over mundane tasks or assisting humans in complex work. Geeks declared that costs would drop and productivity skyrocket, eventually leading to ‘artificial general intelligence’,…
Source: Live Mint While this is the obvious part, beneath the surface, the bigger fight is also about controlling all streams of user data, including those from search engines and social media, which can help big tech companies such as Google, OpenAI, Microsoft, Meta, Nvidia and Elon Musk’s xAI build the world’s most powerful artificial…
Source: Live Mint Mr Pichai is not alone. New Street Research, a firm of analysts, estimates that Alphabet, Amazon, Meta and Microsoft will together splurge $104bn on building AI data centres this year. Add in spending by smaller tech firms and other industries and the total AI data-centre binge between 2023 and 2027 could reach…
Source: Live Mint Senior industry executives and analysts say a high error rate, steep cost of deployment and the relative newness of the technology are the main reasons for GenAI’s weak adoption by companies. “So first and foremost, accuracy of the results is critically important. And second, the adoption of that solution is critically important….
Source: Live Mint New Delhi: Sarvam and Adya.ai are two of India’s newest startups targeting the red-hot generative artificial intelligence market, but they are also among a new breed of ventures looking beyond large language models like ChatGPT. The reason: industry-specific applications are easier to monetise and help avoid competition with AI giants. For Sarvam,…
