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понедельник, 21 августа 2023 г.

Gen AI Awaits Indian Investments

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Back in 2015, Infosys invested about $1 billion in OpenAI, a non-profit organisation then. That was the last for any Indian IT giant or conglomerate to have invested such a hefty amount in the generative AI space.


The launch of ChatGPT late last year stirred the interest of Gautam Adani, who announced the acquisition of SIBIA Analytics and Consulting for Rs 14.80 crore. In January this year, he announced his plan to set up an AI lab in Tel Aviv and said that the company will collaborate with AI labs in India and the US. It’s been over six months since the announcement without any major development on the ground. 

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Similarly, billionaire Mukesh Ambani's investments are predominantly focused on sectors such as telecom, energy, and retail, among others. He has not been extensively engaged in the field of artificial intelligence. In the previous year, Reliance Industries earmarked $15 million to acquire a 25% stake in Two Platforms, a company specialising in cutting-edge technologies for creating engaging and immersive AI experiences. 


Sam Altman’s visit in June created a frenzy when he said it would be “completely hopeless” for anyone to create a platform like ChatGPT. Tech Mahindra CEO CP Gurnani accepted the challenge then, but is yet to make any announcements on the new generative AI development in the IT company. 


Meanwhile, industry giants in other countries are investing heavily in generative AI companies. Recently, SK Telecom invested $100M in Anthropic while telecom giant KT Corp plans to invest $5.4 billion in AI by 2027


Abu Dhabi coolly slid into the open-source model arena with Falcon, a project developed by the Technology Innovation Institute (TII) in the United Arab Emirates. Falcon is available in three versions – 1B, 7B, and 40B, which demonstrated exceptional performance, surpassing that of LLaMA.


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Time to Pin Them 


In an unprecedented development, today technology developers and policymakers are collaboratively exploring regulatory frameworks even before the full scope of their technology's implications becomes evident. This proactive approach is in response to emerging incidents of AI technology mishaps. Recently, a New Zealand supermarket's generative AI app mistakenly suggested the recipe for chlorine gas, disguising it as an 'aromatic water mix' and promoting it as a non-alcoholic beverage!


Notable figures in AI, including Geoffrey Hilton and Sam Altman, have warned of AI's potential for much larger-scale mishaps, even posing existential threats to humanity. Policymakers must strike a balance between innovation and regulation, considering AI's complexities. Developers should bear substantial moral and legal responsibility for their technology's consequences. Transparency standards and addressing biases are vital, though AI companies may resist full disclosure. 


Read the full story here.



Lawsuits that can Shut OpenAI


According to recent reports, The New York Times is contemplating a lawsuit against OpenAI for alleged copyright infringement. It's not the first time OpenAI has faced such accusations. Previous lawsuits against OpenAI have left legal professionals grappling with how to apply intellectual property laws in the realm of generative AI.


Authors Paul Tremblay and Mona Awad filed a class-action lawsuit alleging that ChatGPT created precise book summaries, suggesting it was trained on their copyrighted content without permission, marking OpenAI's first copyright-related claim. Comedienne Sarah Silverman also sued OpenAI, claiming her memoir was used without consent or credit. These cases exemplify the complex legal challenges arising as generative AI intersects with existing legal frameworks.


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The Digital Avatar Dichotomy

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Recently, there was a viral video by German telecommunications company Deutsche Telekom in which, based on just one picture of nine-year-old Ella, they created her older self. It was eerie to watch how online pictures can be misused by anti-social elements for manipulative purposes using technology like Midjourney and Stable Diffusion. 


With Apple’s Vision Pro headset, users can scan their faces with the headset’s selfie cameras to create 3D, hyper-realistic digital avatars. This particular feature will give anonymity to users in the online world while interacting with people through video calls and holding one-on-one conversation. 


While on the one hand, it is generating lifelike images, on the other, Apple may be using your facial data to train their upcoming AI models.


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TAUSIF ALAM & AMIT RAJA NAIK

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