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Today's GenAI models are cost and energy pigs. Quantum tech could fix that.

Business Insider

Business Insider · 1y ago

Today's GenAI models are cost and energy pigs. Quantum tech could fix that.

Zapata, a startup spun out of Harvard, uses quantum physics math to train GenAI models with less data. It won over customer Andretti Racing to the point where Andretti is taking it public via a SPAC. Traditional AI models require large amounts of data and expensive computing resources, but Zapata's approach allows for more efficient and cost-effective training. While Zapata's technology is not a cheap DIY option, it offers a promising alternative to the current resource-intensive state of generative AI. Quantum tech could potentially revolutionize the field of AI by providing more efficient solutions.

Related News

India’s GenAI Boom — What Are VCs Looking For?

Inc42 · 1y ago

India’s GenAI Boom — What Are VCs Looking For?

GenAI startups in India have raised over $580 million between 2019 and 2023, attracting interest from venture capitalists. There is a focus on startups developing GenAI-based applications and models for specific sectors like healthcare and fintech. However, investing in startups building foundational models is viewed as more capital-intensive. The application layer that utilizes existing large language models (LLMs) for various use cases is attracting the most attention from investors. The emergence of startups developing small language models (SLMs) could potentially change the GenAI landscape. Investors are also looking at startups enabling the GenAI ecosystem and those focusing on industry-specific and enterprise-specific models.

India’s GenAI Boom — What Are VCs Looking For?

Inc42 · 1y ago

India’s GenAI Boom — What Are VCs Looking For?

According to Inc42's analysis, GenAI startups in India have raised over $580 million between 2019 and 2023. While some venture capital firms are cautious about investing in foundational models due to the high costs involved, most are interested in startups building GenAI-based applications for specific sectors like healthcare, fintech, and enterprise tech. Startups focused on the application layer of GenAI have garnered the most interest from VCs. Additionally, there is emerging interest in startups developing small language models and enablers of GenAI applications.

How much electricity does AI consume?

The Verge

The Verge · 1y ago

How much electricity does AI consume?

A lack of transparency from companies like Meta, Microsoft, and OpenAI makes it difficult to accurately measure the energy consumption of AI systems. Training large language models can require significant energy, while the energy usage for inference tasks varies depending on the complexity of the AI model. Estimates suggest that by 2027, the AI sector could consume between 85 to 134 terawatt hours per year, equivalent to the annual energy demand of the Netherlands. Efforts are needed to better understand and address the energy cost of AI.

How BharatGPT’s Indic-First LLM Is Bridging Language Barriers, Empowering Enterprises

Inc42 · 1y ago

How BharatGPT’s Indic-First LLM Is Bridging Language Barriers, Empowering Enterprises

OpenAI's ChatGPT, powered by generative AI (GenAI), is a major breakthrough in natural language understanding and processing. The intelligent chatbot utilizes large language models to generate content in various formats and languages. McKinsey & Company estimates that GenAI and other technologies could automate the majority of work activities, leading to increased productivity. However, there are concerns about GenAI falling short of community expectations, as demonstrated by the limited accuracy in generating a portrait of Lord Rama. Access to information is a crucial aspect of GenAI's future, as there is a significant gap in availability of non-English content for the majority of the Indian population. OpenAI is continually working to improve the conversational abilities of its GenAI models, with claims that the upcoming GPT-4o will be faster and more natural in its responses.

Chips aren’t improving like they used to, and it’s killing game console price cuts

Arstechnica

Arstechnica · 3m ago

Chips aren’t improving like they used to, and it’s killing game console price cuts

Slowed advancements in chip manufacturing are halting game console price cuts, as observed by Andrew Cunningham. Historically, consoles became cheaper over time, with hardware improvements leading to streamlined designs and cost reductions. However, today's price hikes are attributed to inflation, supply chain issues, and declining Moore's Law, resulting in reduced chip advancements. Consumers, noticing these trends, are opting to purchase new models early, anticipating that prices won’t drop as they once did.

Generating AI images uses as much energy as charging your phone, study finds

Gizmodo

Gizmodo · 1y ago

Generating AI images uses as much energy as charging your phone, study finds

A new study reveals that generative AI models used for creating images can consume as much energy as charging a smartphone. The research, conducted by Hugging Face and Carnegie Mellon, examines the environmental impact of generative AI models, specifically highlighting the high energy consumption of image generation tasks. Multipurpose models like ChatGPT were found to be more energy-intensive than task-specific models. The study calls for awareness of the environmental cost of AI and suggests using smaller models in contexts where tasks are well-defined.

AI could consume more power than Bitcoin by the end of 2025

The Verge

The Verge · 2m ago

AI could consume more power than Bitcoin by the end of 2025

AI could soon surpass Bitcoin mining in energy consumption, potentially using nearly half of all electricity consumed by global data centers by 2025. Despite efficiency gains, rising energy demands from expanding AI models and new data centers are contributing to this increase. The lack of transparency in reporting AI energy use and environmental impact by tech companies makes tracking and managing these demands challenging. Researchers urge for more efficient models and greater transparency in sustainability reporting.

So far, AI hasn’t been profitable for Big Tech

Arstechnica

Arstechnica · 1y ago

So far, AI hasn’t been profitable for Big Tech

Big tech companies like Microsoft and Google are facing challenges in making AI products profitable. The cost of running advanced AI models, such as Microsoft's GitHub Copilot, is proving to be a significant hurdle, with some services driving operational losses. The high cost is attributed to the need for powerful servers and energy-consuming chips to operate large language models. Companies are exploring ways to reduce costs, but the return on investments in AI is expected to take time. Experts predict a more stringent financial approach in the future as the focus shifts to the profitability of AI models.

Tim Cook says Apple will 'break new ground' in GenAI this year

TechCrunch · 1y ago

Tim Cook says Apple will 'break new ground' in GenAI this year

Apple's CEO Tim Cook announced during the annual shareholders meeting that the company will "break new ground" in the field of Generative Artificial Intelligence (GenAI) this year. This comes as Apple reportedly shifted some staff from an abandoned electric vehicle project to work on GenAI initiatives. Compared to its counterparts in Big Tech, Apple has been slower to invest in GenAI. However, the company is said to be exploring integrating GenAI models into Siri, Spotlight, Keynote, and Apple Music, among others, for more advanced features. Apple engineers have also been publishing academic and technical papers on GenAI and releasing open-source models and tools.

Chips, Indic LLMs, flying taxis: Inside India’s tryst with tech independence

Livemint

Livemint · 11m ago

Chips, Indic LLMs, flying taxis: Inside India’s tryst with tech independence

India is working towards building a robust homegrown technology ecosystem to protect against supply chain disruptions and establish a clean energy future. The country's initiatives include expanding its digital public infrastructure (DPI) framework, investing in AI capabilities, developing Indic language models and chatbots, establishing semiconductor facilities, and exploring quantum computing. The government aims to foster a domestic ecosystem of quantum research, run bullet trains and hyperloop technology, and achieve its renewable energy goals. These efforts are aimed at boosting India's economy and addressing the country's unique challenges in various sectors.

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