How Are Consumers Using Generative AI? Andreessen Horowitz

While true, we believe the largest opportunity long-term is in leveraging AI to change not just how we create games, but the nature of the games themselves. Every few years, the games industry reinvents itself via new technological breakthroughs. The potential for how AI may change the way we work is endless, but we are still in the early innings. Generative AI in B2B applications needs to evolve beyond creating more content, to synthesis AI that enables us to do our work better and faster. In B2B applications, it’s a constant dance around who can own the workflow, and AI-native applications will make this dance ever more interesting to watch. On the outbound sales use case, ZoomInfo recently announced that they are integrating GPT into their platform and shared a demo video.

We’re excited about the opportunity for generative AI to help create new AI-first game categories and dramatically expand existing genres. AI has long played a role in enabling new forms of gameplay – from Rogue’s procedurally generated dungeons (1980) to Half-Life’s finite-state machines (1998) to Left 4 Dead’s AI game director (2008). Recent advances in deep learning enabling computers to generate new content based on user prompts and large data sets have further changed the game. We expect all these sources of defensibility to be just as important in the AI era. But the underlying technology behind AI products also introduces new potential competitive advantages. Our early-stage partners have written about value capture in generative AI platforms and continue to explore how defensibility will play out in the infrastructure of AI.

Half of all game development could be done by AI within 10 years

The Burlingame, California-based startup plans to use the fresh cash to evolve into a clinical stage company, invest in its AI platform, and expand its discovery pipeline. The company was founded by a team of experienced AI researchers and engineers, who have previously worked at leading institutions such as Google, Facebook, OpenAI, DeepMind, and Stanford. The founders are passionate about using AI to augment human creativity and intelligence, rather than replace them.

Generative AI will make it easier, faster, and cheaper to produce quality games, while enabling players to truly customize their gameplay. It’s not outlandish to believe that one day, we’ll all have a personalized chatbot that understands the unique context of our lives. When facing a life change—like divorce, going to college, or having children—we’ll be able to get advice delivered in whatever way resonates. And we’ll be able to ask for support or guidance around goals we’re trying to achieve, whether it’s exercising more or improving our financial health. Outside of healthcare, we’ve started to see the emergence of other AI-powered tools and coaches that are purpose-built to assist with specific tasks. InterAlia can help you put together an outfit, Prodigy AI can give you career advice, and Poised can improve your communication skills, to name just a few examples.

If Sunak wants the UK to lead on AI, he needs to invite startups to his summit

Flock Safety has assembled the biggest computer vision data corpus for law enforcement and by providing camera hardware can control the data through the whole lifecycle, from capture through implementation. This unlocks a flywheel of more customers → more cameras → more data → better predictions → safer communities → more customers, etc. Siebel launched a cloud CRM product over 3 years after Salesforce launched, and PeopleSoft didn’t launch a cloud-hosted HRIS until over a decade after SuccessFactors came to market.

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.

• First would be a human interface that is uniquely powered by a probabilistic LLM.
• They will do this up to and including in ways that are nakedly felony crimes.
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• Mainframe VFX lead Jussi Kemppainen describes in this blog how he built the world and characters for a 2.5D adventure game with the help of Midjourney and Adobe Firefly.

With no platform shift (e.g., internet → mobile), it’s been difficult to drive excitement for new products. Costs of acquisition have also been rising, meaning that most consumer companies have had to worry about metrics like lifetime value and customer acquisition cost. Ukrainian deeptech company Zibra AI, which specialises in AI-generated 3D assets for games and virtual environments, has announced that it has raised $500,000 Yakov Livshits as part of the inaugural Andreessen Horowitz (a16z) Speedrun accelerator program. This funding kicks off the company’s current seed investment round, and brings its total investment to-date to $2.5 million. Zibra AI is a Ukrainian deeptech startup specialising in AI-generated 3D assets for games and virtual environments. It has participated in the first-ever Andreessen Horowitz (a16z) Games Speedrun accelerator program.

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Biotech startups have raised 34 of those rounds — the most of any sector — while artificial intelligence startups have received 13 such rounds. Zibra AI, the Ukrainian generative AI platform for 2D and 3D assets, has received USD 500K as part of its participation in the a16z Speedrun acceleration program. This program is the second time that Andreessen Horowitz rewards the most promising gaming-related AI startups.

So, even if Visa can pull off the execution of this, I wouldn’t expect broad consumer adoption of Visa+ immediately, but it’s one to watch and see. Interoperability is also a theme that will emerge given the proliferation of consumer (and also B2B) payment options at checkout across wallets, BNPL, pay by bank, and more. On the sales side, considered purchases, like life or disability insurance and annuities, are primarily sold offline through human agents and brokers because they’re complicated products that buyers often have questions about.

Midjourney has focused on developing the most performant proprietary foundation model in order to create the best application-layer use case on top. Where the value of AI accrues in the long run is ultimately a question of defensibility. While we can’t derive a natural law of software physics from a single platform shift, in the SaaS era, startups won more market share at the application than infrastructure layer.

Textures contain metadata on how light reacts to the material (i.e. roughness, shininess, etc). Allowing artists to easily generate textures based on text or image prompts will be hugely valuable towards increasing iteration speed within the creative process. Several teams are pursuing this opportunity including BariumAI, Ponzu, and ArmorLab. 3D assets are the building block of all modern games, as well as the upcoming metaverse. A virtual world, or game level, is essentially just a collection of 3D assets, placed and modified to populate the environment. Creating a 3D asset, however, is more complex than creating a 2D image, and involves multiple steps including creating a 3D model and adding textures and effects.