OpenAI and Arianna Huffington are teaming up to fund the development of an AI health coach through Thrive AI Health, aiming to personalise health guidance using scientific data and personal health metrics shared by users. The initiative, detailed in a Time magazine op-ed by OpenAI CEO Sam Altman and Huffington, seeks to leverage AI advancements to provide insights and advice across sleep, nutrition, fitness, stress management, and social connection.
DeCarlos Love, a former Google executive with experience in wearables, has been appointed CEO of Thrive AI Health. The company has also formed research partnerships with institutions like Stanford Medicine and the Rockefeller Neuroscience Institute to bolster its AI-driven health coaching capabilities.
While AI-powered health coaches are gaining popularity, concerns over data privacy and the potential for misinformation persist. Thrive AI Health aims to support users with personalised health tips, targeting individuals lacking access to immediate medical advice or specialised dietary guidance.
Why does this matter?
The development of AI in healthcare promises significant advancements, including accelerating drug development and enhancing diagnostic accuracy. However, challenges remain in ensuring the reliability and safety of AI-driven health advice, particularly in maintaining trust and navigating the limitations of AI’s capabilities in medical decision-making.
Mark Matlock, a political candidate for the right-wing Reform UK party, has affirmed that he is indeed a real person, dispelling rumours that he might be an AI bot. The suspicions arose from a highly edited campaign image and his absence from critical events, prompting a thread on social media platform X that questioned his existence.
We might be on the verge of a HUGE SCANDAL. Suspicions have been raised that Reform have fielded election candidates that aren’t real people. Is there any evidence that Mark Matlock (candidate for Clapham & Brixton Hill) actually exists? He looks AI generated. pic.twitter.com/0wJcR4HZXG
The speculation about AI involvement is partially plausible, especially considering that an AI company executive recently used an AI persona to run for Parliament in the UK, though he garnered only 179 votes. However, Matlock clarified that he was severely ill with pneumonia during the election period, rendering him unable to attend events. He provided the original campaign photo, explaining that only minor edits were made.
Why does it matter?
The incident highlights the broader implications of AI in politics. The 2024 elections in the US and elsewhere are already witnessing the impact of AI tools, from deepfake videos to AI-generated political ads. As the use of such technology grows, candidates must maintain transparency and authenticity to avoid similar controversies.
Investments in AI startups soared to $24 billion in the last two months, more than doubling from the previous quarter, as reported by sources familiar with the matter. The surge reflects a growing interest in AI technology, making it the largest investment sector, followed by healthcare and biotech. Overall startup funding increased 16% to $79 billion in the last quarter, driven mainly by AI.
The success of OpenAI’s ChatGPT has sparked a race to integrate the latest AI technology in various fields, including business productivity, healthcare, and manufacturing. However, investors and major tech firms caution that substantial returns from these investments are expected to materialise over the next few years.
Five out of six billion-dollar funding rounds were for AI companies during this period. Notable deals included Elon Musk’s xAI raising $6 billion and AI infrastructure provider CoreWeave securing $1.1 billion. In addition, the automated driving company Wayve and data preparation company Scale AI have attracted substantial investments. Cybersecurity firm Wiz, for example, raised a billion dollars in its latest funding round outside the AI sector.
Why does it matter?
Despite the recent increase, overall startup funding remains lower than in the past three years. Global funding dropped 5% to $147 billion in the year’s first half and remained flat compared to the latter half of 2023. The tight monetary policy in the US has also slowed the revival of initial public offerings (IPOs), a significant source of returns for institutional private market investors who typically invest in startups and sell shares during IPOs.
At the recent World Artificial Intelligence Conference in Shanghai, Chinese GPU developers seized the opportunity to showcase their products in Nvidia’s absence. Prominent companies such as Iluvatar Corex, Moore Threads, Enflame Technology, Sophgo, and Huawei’s Ascend were at the forefront, highlighting their advancements despite significant challenges in manufacturing and software ecosystems.
Enflame Technology emphasised the shift from foreign-dominated computing clusters to a mix of Chinese and foreign GPUs. The company, along with AI solutions firm Infinigence, is promoting compute resources that utilise a variety of chips from both Nvidia and Chinese manufacturers. However, US export restrictions have prevented Nvidia from selling its most advanced chips in China, and several Chinese firms, including Huawei, are struggling with manufacturing hurdles due to being blacklisted by the US.
Huawei’s booth was a major attraction, showcasing its Ascend 910B chips, which train numerous large language models in China. Meanwhile, Enflame presented its Cloudblazer T20 and T21 AI-training chips, benefiting from not being on the US trade blacklist, which allows it access to global foundries like TSMC.
Despite these efforts, Chinese GPUs still need to catch up with their global counterparts regarding performance. Nvidia remains a dominant player, with tailored chips for the Chinese market continuing to be popular. Nvidia is expected to deliver over 1 million H20 GPUs in China this year, generating $12 billion in sales. However, experts highlight that China’s in-house technology still needs to meet its substantial domestic AI demand.
At YourStory’s Tech Leaders’ Conclave, Ankur Pal, Chief Data Scientist at Aplazo, discussed how AI is transforming the financial services industry. Aplazo aims to address financial inclusion, especially in developing countries with low credit card penetration, by providing fair and transparent solutions like their Buy Now Pay Later (BNPL) platform. Pal highlighted AI’s potential to revolutionise fintech by creating personalised financial products and improving operational efficiency, ultimately reducing friction for consumers and institutions.
Pal emphasised AI’s role in enhancing decision-making processes, reducing fraud, and improving customer service. AI-driven solutions enable real-time data processing, which helps financial institutions detect and prevent fraud more effectively.
Additionally, AI can automate routine tasks, allowing financial professionals to focus on strategic initiatives. The real-time decision-making is becoming increasingly important as financial institutions invest in event streaming infrastructure and machine learning operations (MLOps) stacks to manage high transaction volumes with low latency.
Overcoming financial inclusion barriers was a key topic, with Pal noting that many developing countries still have a large unbanked or underbanked population despite high bank account ownership. AI can bridge this gap by offering tailored financial solutions for underserved communities.
Pal also discussed the importance of leadership and the skill sets required for building successful AI teams. He stressed the need for adaptability, continuous learning, and a deep understanding of both technology and business to create valuable AI solutions. While AI will transform job roles, it will also create new opportunities, making it crucial for leaders to foster a culture of innovation.
Tech Mahindra has partnered with Microsoft to enhance workplace experiences for over 1,200 customers and more than 10,000 employees across 15 locations by adopting Copilot for Microsoft 365. The collaboration aims to boost workforce efficiency and streamline processes through Microsoft’s trusted cloud platform and generative AI capabilities. Additionally, Tech Mahindra will deploy GitHub Copilot for 5,000 developers, anticipating a productivity increase of 35% to 40%.
Mohit Joshi, CEO and Managing Director of Tech Mahindra, highlighted the transformative potential of the partnership, emphasising the company’s commitment to shaping the future of work with cutting-edge AI technology. Tech Mahindra plans to extend Copilot’s capabilities with plugins to leverage multiple data sources, enhancing creativity and productivity. The focus is on increasing efficiency, reducing effort, and improving quality and compliance across the board.
As part of the initiative, Tech Mahindra has launched a dedicated Copilot practice to help customers unlock the full potential of AI tools, including workforce training for assessment and preparation. The company will offer comprehensive solutions to help customers assess, prepare, pilot, and adopt business solutions using Copilot for Microsoft 365, providing a scalable and personalised user experience.
Judson Althoff, Executive Vice President and Chief Commercial Officer at Microsoft, remarked that the collaboration would empower Tech Mahindra’s employees with new generative AI capabilities, enhancing workplace experiences and increasing developer productivity. The partnership aligns with Tech Mahindra’s ongoing efforts to enhance workforce productivity using GenAI tools, demonstrated by the recent launch of a unified workbench on Microsoft Fabric to accelerate the adoption of complex data workflows.
OpenAI’s ChatGPT, launched in 2022, has revolutionised the way people seek answers, shifting from traditional methods to AI-driven interactions. This AI chatbot, along with competitors like Anthropic’s Claude, Google’s Gemini, and Microsoft’s CoPilot, has made AI a focal point in information retrieval. Despite these advancements, traditional search engines like Google remain dominant.
Google’s profits surged by nearly 60% due to increased advertising revenue from Google Search, and its global market share reached 91.1% in June, even as ChatGPT’s web visits declined by 12%.
Google is not only holding its ground but also leveraging AI technology to enhance its services. Analysts at Bank of America credit Gemini, Google’s AI, with contributing to the growth in search queries. By integrating Gemini into products such as Google Cloud and Search, Google aims to improve their performance, blending traditional search capabilities with cutting-edge AI innovations.
However, Google’s dominance faces significant legal challenges. The U.S. Department of Justice has concluded a major antitrust case against Google, accusing the company of monopolising the digital search market, with a verdict expected by late 2024.
Additionally, Google is contending with another antitrust lawsuit filed by the U.S. government over alleged anticompetitive behaviour in the digital advertising space. These legal challenges could reshape the digital search landscape, potentially providing opportunities for AI chatbots and other emerging technologies to gain a stronger foothold in the market.
As AI continues to evolve, it’s reshaping online platforms and stirring concerns among longtime users. At a recent tech conference, concerns were raised about AI-generated content flooding forums like Reddit and Stack Overflow, mimicking human interactions. Reddit moderator Sarah Gilbert highlighted the frustration felt by many contributors who see their genuine contributions overshadowed by AI-generated posts.
Stack Overflow, a hub for programming solutions, faced backlash when it initially banned AI-generated responses due to inaccuracies. However, it’s now embracing AI through partnerships to enhance user experience, sparking debates about the balance between human input and AI automation. CEO Prashanth Chandrasekar acknowledged the challenges, noting their efforts to maintain a community-driven knowledge base amidst technological shifts.
Meanwhile, social media platforms like Meta (formerly Facebook) are under scrutiny for using AI to train models on user-generated content without explicit consent. That has prompted regulatory action in countries like Brazil, where fines were imposed for non-compliance with data protection laws. In Europe and the US, similar concerns over privacy and transparency persist as AI integration grows.
The debate underscores broader issues of digital ethics and the future of online interaction, where authenticity and user privacy collide with technological advancements. Platforms must navigate these complexities to retain user trust while embracing AI’s potential to innovate and automate online experiences.
At the recent World AI Conference in Shanghai, SenseTime introduced its latest model, SenseNova 5.5, showcasing capabilities comparable to OpenAI’s GPT-4o. This unveiling coincided with OpenAI’s decision to block its services in China, leaving developers scrambling for alternatives.
OpenAI’s move, effective from July 9th, blocks API access from regions where it does not support service, impacting Chinese developers who relied on its tools via virtual private networks. The decision, amid US-China technology tensions, underscores broader concerns about global access to AI technologies.
The ban has prompted Chinese AI companies like SenseTime, Baidu, Zhipu AI, and Tencent Cloud to offer incentives, including free tokens and migration services, to lure former OpenAI users. Analysts suggest this could accelerate China’s AI development, challenging US dominance in generative AI technologies.
The development has sparked mixed reactions in China, with some viewing it as a move to bolster domestic AI independence amidst geopolitical pressures. However, it also highlights challenges in China’s AI industry, such as reliance on US semiconductors, impacting capabilities like Kuaishou’s AI models.
According to strategists at Citigroup Inc., investors are being advised to consider cashing in on the recent surge in AI stocks. The analysis highlights strong investor sentiment towards AI-exposed equities, reminiscent of levels seen in 2019. Drew Pettit’s team at Citi notes that while there’s no clear bubble in AI stocks overall, the rapid rise in specific names raises concerns about increased volatility ahead.
This year, the AI frenzy has driven Nvidia Corp. to briefly claim the title of the world’s most valuable company, while Taiwan Semiconductor Manufacturing Co. surpassed $1 trillion in market value. Citi suggests focusing on profit-taking, particularly among chip-makers, and diversifying investments across the broader AI sector.
Despite cautious signals from Citi, many market observers believe the AI momentum will persist through the year’s second half. Bloomberg News reports a split among investors, some favouring established giants like Nvidia, while others look to secondary beneficiaries such as utilities and infrastructure providers.
Acknowledging AI stocks’ optimism, Citi’s strategists emphasise that current stock prices imply high expectations.
