OpenAI’s Loss, Competitors Gain

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TAUSIF ALAM & AMIT RAJA NAIK Thursday, Nov 23, 2023 | Was this email forwarded to you? Sign up here ___________________________________________________________ While OpenAI navigated the turbulence, its competitors were busy pitching businesses to new customers and recruiting new people. Interestingly, both the customers and employees belonged to OpenAI. According to reports, more than 100 OpenAI customers were in talks with companies like Anthropic, Cohere, Google, Amazon and others. Salesforce CEO Marc Benioff, went a step ahead with an open offer that said: “Salesforce will match any OpenAI researcher who has tendered their resignation full cash & equity OTE to immediately join our Salesforce Einstein Trusted AI research team under Silvio Savarese.”    Expecting a huge influx of customers, competitors were also putting out new updates for users. Early this week, Anthropic launched Claude 2.1, featuring an impressive 200K context length. This version surpasses OpenAI's GPT-4 Turbo, which offers 128K context, demonstrating notable improvements in reducing model hallucination rates and system prompts. Additionally, a new beta feature was introduced too. Cohere brought an updated user interface with a testing space where users can try out and check fine-tuned models. It also has a price calculator, giving users the ability to make informed choices about the cost of fine-tuning right from the start. LangChain, which was struggling to justify its existence after the launch of the GPT Store at OpenAI’s DevDay, suddenly became abuzz with new announcements. They announced a new product called Dream that allows people to use an AI no-code tool to build fully functional web apps and components using natural language, similar to GPT Builder.  And while these frantic developments were underway in different companies, OpenAI announced Sam Altman’s return to the organisation. Now, all eyes are back on OpenAI, and the question is, will the competitors be able to maintain the leverage they gained against OpenAI over four days when the man was away, leaving the company briefly clueless about its future? Read the full story here. Is Q the AGI? OpenAI’s latest model, Q-Star, named after a hypothetical heavy neutron star with an exotic state of matter, could be a breakthrough in the company’s search for artificial general intelligence (AGI). Currently, the model is capable of solving difficult maths questions, which were earlier beyond the capacity of the existing GPT models.  The model was built by Jakub Pachocki and Szymon Sidor, two top researchers at OpenAI, using Ilya Sutskever’s work. Q-Star, apparently, raised a major AI safety concern causing mayhem among the board members that led to the entire fiasco. Read the full story here. The Case against TCS In a setback for Tata Consultancy Services (TCS), the US Supreme Court has rejected the company’s appeal against a $140 million punitive damages order from a district court. The case, brought by Epic Systems Corp, alleged TCS's unauthorised access to Epic's portal to develop competing software.  The Supreme Court upheld the damages, citing deliberate actions by TCS, including disciplining a whistleblower and providing false information. TCS plans to set aside $125 million in its financial statements. The decision highlights the significance of respecting intellectual property rights, underscoring the severe consequences of unauthorised access and use of proprietary information. Read the full story here. Why We Need Open Source AI    Democratisation of technology is a hot topic these days. And when it comes to a powerful technology like AI, the discussion gets even more intense. The concentration of power in the hands of a few, especially with regards to an extremely potent technology, can mess things up really badly, as witnessed in the OpenAI case. That is why a more decentralised AI makes sense.  After the OpenAI fiasco, the demand for open source AI has grown louder. From price to latency to transparency, open source models offer a lot of benefits to users compared to closed source ones. The rise of LLaMA, and its subsequent models hold testimony to the need and demand of such open source models in the generative AI ecosystem. Read the full story here.  DOWNLOAD OUR MOBILE APP Stay Connected info@analyticsindiamag.com © 2023 Analytics India Magazine

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