The “Positive Disruption: Transformation Revolution” has accelerated
The "Positive Disruption: AI Revolution" has accelerated
This lighthouse presents a collection of 10 golden knowledge facts about how AI has finally become transformative thanks to the development of generative AI models. Generative AI is already being used to transform industries, such as healthcare, education, and customer service. Generative AI is facilitating uses previously impossible for computers in any meaningful way, such as companionship and therapeutic art communities.
Generative AI can bring real economic benefits to large industries with established and expensive workloads, and that continued progress in this field is likely to lead to more jobs, more economic expansion, and better goods for consumers.
- After a decade’s worth of innovation, new models can change the world the way the internet did.
- Early investors focus on growth, not margins. This leads to hiring humans instead of automating, which makes scaling difficult.
- Fortunately, this doesn’t seem to be the case with the current wave of generative AI applications such as ChatGPT and the foundation models such as GPT-4 that power them.
- While still very early, we’re already seeing use cases in large existing markets with orders-of-magnitude improvement in time, cost and performance.
- This has led to some of the fastest-growing technology and product adoption in the history of the software industry. We may be experiencing what is likely the start of a new supercycle on par with the advent of the microchip or the internet.
- Accuracy is not important for many generative AI applications. For example, in novel image generation or banter, being correct simply means appealing to the user. In code generation, the user can provide feedback to improve the generated answers.
- Generative AI is facilitating new uses that were previously impossible for computers. We don't know what these uses will lead to, but millions of users are already willing to pay for them.
- This all means opportunity for the new class of generative AI startups to evolve along with users, while incumbents focus on applying the technology to their existing cash-cow business lines.
- Generative AI can bring real economic benefits to large industries with established and expensive workloads. Large language models could save costs by performing tasks such as summarizing discovery documents without replacing attorneys, to take one example. And there are plenty of similar jobs spread across fields like medicine, computer programming, design and entertainment.
- Generative AI has the potential to transform our economies and lives, but it will require continued innovation. There may be challenges along the way, but the end result will be more jobs, economic growth, and better goods for consumers.
ABOUT THE AUTHORS
Martin Casado is a general partner at the venture capital firm Andreessen Horowitz where he focuses on enterprise investing. He was previously the cofounder and chief technology officer at Nicira, which was acquired by VMware for $1.26 billion in 2012. While at VMware, Martin was a fellow, and served as senior vice president and general manager of the Networking and Security Business Unit, which he scaled to a $600 million run-rate business by the time he left VMware in 2016.
Martin started his career at Lawrence Livermore National Laboratory where he worked on large-scale simulations for the Department of Defense before moving over to work with the intelligence community on networking and cybersecurity. These experiences inspired his work at Stanford where he created the software-defined networking (SDN) movement, leading to a new paradigm of network virtualization. While at Stanford he also cofounded Illuminics Systems, an IP analytics company, which was acquired by Quova Inc. in 2006.
For his work, Martin was awarded both the ACM Grace Murray Hopper award and the NEC C&C award, and he’s an inductee of the Lawrence Livermore Lab’s Entrepreneur’s Hall of Fame. He holds both a PhD and Masters degree in Computer Science from Stanford University.
Martin serves on the board of ActionIQ, Ambient.ai, Astranis, dbt Labs, Fivetran, Imply, Isovalent, Kong, Material Security, Netlify, Orbit, Pindrop Security, Preset, RapidAPI, Rasa, Tackle, Tecton, and Yubico.
g-f(2)1236: The Juice of Golden Knowledge
Some relevant characteristics of this "genioux Fact"
- NUGGET KNOWLEDGE
- Category 2: The Big Picture of the Digital Age
- The Lighthouse of the Big Picture of the Digital Age
- The "Positive Disruption: AI Revolution" has accelerated
- The internal title
- The Lighthouse of Transformation: AI Has Finally Become Transformative
- [genioux fact deduced or extracted from geniouxfacts + WSJ + Bing Chatbot + Bard]
- This is a “genioux fact fast solution.”
- Tag "GkPath" highway
- GKPath is the highway where there is no speed limit to grow.
- GkPath is paved with blocks of GK.
- "genioux facts", the online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, builds The Golden Knowledge Path (GKPath) digital freeway to accelerate everyone's success in the digital age.
- Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
- Type of validity of the "genioux fact".
- Inherited from sources + Supported by the knowledge of one or more experts.
- Authors of the genioux fact