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Generative AI landscape by Sequoia Capital Attri posted on the topic

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WellSaid Makes Sequoia Generative AI Map

Making Powerpoint decks is as close as many people get to being creative at work, but new generative AI apps like Tome make it easy to design beautiful presentations that bring your ideas to life with only text prompts. Another take on work productivity comes from Adept, which has built an action model, ACT-1, that’s trained on how people interact with their computers. Its goal is to eventually automate some of the searching, clicking and scrolling you have to do now to get tasks done. When we launched the AI 50 almost five years ago, I wrote, “Although artificial general intelligence (AGI)… gets a lot of attention in film, that field is a long way off.” Today, that sci-fi future feels much closer. Patients take only half of the medication prescribed for chronic conditions leading to more than $100B in unnecessary health expenses. The solution can be as simple as automating the texts and calls that remind patients to go to follow up appointments, take medications and answer their basic questions.

Generative AI video startup Gan.ai has raised $5.25 million in a seed funding round led by Surge, Sequoia Capital India and Southeast Asia’s rapid scale-up program with participation from Emergent Ventures and other angel investors. The model that received the most media attention recently is Meta’s Make-A-Video, which has text-to-video capability. However, it cannot generate clips that are longer than 5 seconds with resolutions higher than 768×768 pixels at 16 frames per second. Currently, the only publicly available text-to-video model is CogVideo, which also has many limitations, such as the length of the video. The model Phenaki, recently released by Google Brain in September 2022, can generate longer coherent stories with different concepts. We would expect more mature infrastructure to pop up in the near future.

Unlocking the Future: 5 Game-Changing Insights from VMware Explore 2023

New startups continue to enter the market at a swift pace, supported by advances in generative infrastructure like large language models and vector databases. Across 91 deals in 2023 so far, the space has already seen $14.1B in equity funding (including $10B to OpenAI). Even excluding the OpenAI deal, that’s a 38% increase from full-year 2022. Gan.ai’s platform also integrates with Shopify, Calendly, Stripe, Salesforce and Hubspot for businesses to create unique shopping and payment experiences also. Moreover, Gan.ai’s end-to-end solution also provides businesses with granular customer insights and video performance analytics. The platform integrates with Shopify, Calendly, Stripe, Salesforce and Hubspot for businesses to create unique shopping and payment experiences also.

You can only imagine if a company was in their own data centers, how hard that would have been to grow that quickly. The ability to dramatically grow or dramatically shrink your IT spend essentially is a unique feature of the cloud. There’s so much data in the world, and the amount of it continues to explode. A lot of people are drowning in their data and don’t know how to use it to make decisions.

It never happens instantly. The business game is longer than you know.

However, despite the clear unmet and growing demand for AI chips and the limitations in semiconductor computation capacity, AI chip startups have, in some cases, not yet lived up to their promise. Once heralded to great excitement, UK AI chip startup Graphcore had their valuation written down to zero by Sequoia Capital in April 2023, after having lost a major deal with Microsoft in late 2022. Graphcore has raised $682M in total VC funding and was valued at $2.8B in Dec 2020. Many top-tier investors have been building up their Generative AI portfolios. Andreessen Horowitz and Sequoia have made nearly 50% more Generative AI investments than anyone else so far. NVIDIA shares ramped more than 100% in H (NVIDIA is the leader in AI chips), while companies such as Chegg (education tutoring) lost over 50% due to their business model being disrupted by GenAI.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor’s degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape Yakov Livshits of the internet. It will serve as a brand’s key differentiator in the competitive landscape. Its integration into various aspects of a business can lead to the development of unique value propositions that enhance competitiveness.

ATechnos launches gaming as a service platform for user and brand benefit

From venture capitalists to renowned firms, these investors have been instrumental in shaping the landscape of generative AI by backing innovative startups, driving research and development, and fostering collaborations. Discover the key players who are actively investing in generative AI and paving the way for groundbreaking advancements in fields like art, music, language, and beyond. Pencil’s new service allows Yakov Livshits small businesses struggling to compete in an increasingly online world dominated by larger brands’ slick video ads and optimized ad spend. Pencil learns from historic ad performance to generate new video ads that help brands systematically improve Return on Advertising Spend (ROAS). This is done through Pencil’s ‘Generate’ feature, which utilizes artificial intelligence (AI) to generate new video ad ideas.

This CEO wants take on Nvidia in the race to supply chips to AI firms. Here’s how – Business Insider

This CEO wants take on Nvidia in the race to supply chips to AI firms. Here’s how.

Posted: Fri, 15 Sep 2023 11:51:00 GMT [source]

The latest startup to receive the funding windfall is Gan.ai, a generative AI startup that has built the world’s first personalized human video platform. Microsoft’s Chairman and CEO, Satya Nadella, has been leading the charge as the company integrates this technology deeply through its tools. At the launch of M365 Copilot Nadella said, “Today marks the next major step in the evolution of how we interact with computing, which will fundamentally change the way we work and unlock a new wave of productivity growth”. This is a welcome message to all software users who want to benefit from the productivity gains from AI. He went on to say, “With our new Copilot for work, we’re giving people more agency and making technology more accessible through the most universal interface — natural language”.

It can quickly create and adapt content for various platforms and audiences, freeing up time for other tasks. Gan.ai’s video personalization software enables brands to record with an actor, add keywords to a script and send personalized videos to their customers in one click. According to founder and CEO of Gan.ai, Suvrat Bhooshan, Gan.ai allows users to create landing pages and shopping and payment options by integrating with Shopify, Calendly, Stripe, HubSpot and Salesforce. Most recently, Sequoia Capital created and introduced a Gen AI market map, The Generative AI Application Landscape, where it collected the best projects in the machine learning world that are getting the company excited.

  • Companies that effectively leverage these strategies will continue to thrive in a world dominated by AI-generated software.
  • We mined the CB Insights database to map 335 startups across 50 different categories, from protein design to patent generation.
  • You will be able to write code on the fly, communicate with people in other languages, learn or teach anything we are interested in, and more.
  • In 2014, Ian Goodfellow proposed the GAN after dreaming up the idea of pitting a neural network against another.
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