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Authors: Kelsey Hightower
2023-04-20

tldr - powered by Generative AI

The speaker discusses the importance of focus and interest alignment in navigating the overwhelming amount of software options in the industry.
  • Open source works better in those days
  • Having a clear roadmap and list of necessary features helps with decision-making
  • Interest alignment is crucial in convincing developers to prioritize certain values
  • Authenticity and nuance are necessary in communicating values
  • The speaker emphasizes the importance of protecting one's mental space and staying focused
Conference:  Transform X 2022
Authors: Emily Harding, Stephanie Halcrow, Paul Lekas, John Dulin, Lee Hudson
2022-10-19

The Department of Defense needs to become an attractive market for commercial companies and startups to apply innovative products and services in a meaningful way. Many potential technology providers believe the barriers to working with the DoD are too high. Congress and the department have created several initiatives and organizational structures to lower those barriers, but the DoD still struggles with transitioning innovation into production programs.With so few examples of new technology companies gaining footholds in the DoD, many perceive that the department is engaged in “innovation theater” by pursuing the appearance of innovation while maintaining institutional resistance to the concept. Without a real culture of innovation, the DoD risks losing ground to other entities willing to leverage commercial technology.This panel will discuss how maintaining political reputations and the fear of failure holds back innovation. They also will cover practical approaches for how the DoD can adopt pioneering technology more quickly, including revising the consortium model, providing better education about how AI and other advanced technologies work, and simplifying the procurement process to attract more private-sector technology companies.
Conference:  Transform X 2022
Authors: Nat Friedman, Alexandr Wang
2022-10-19

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The speaker discusses the emergence of AI capabilities and the need for product development to bridge the gap between research and practical applications. They also touch on the potential for startups to build new products and the challenges of incumbents in adopting generative AI technology.
  • AI capabilities have created new opportunities for product development
  • Product development requires a level of tinkering and creativity to find the intersection between new capabilities and user needs
  • Language is an AGI complete problem with a lot of potential value to be unlocked
  • Models are becoming more accessible and less brittle, making them easier to use for product development
  • Startups have an opportunity to build new products that don't fit neatly into existing categories
  • Incumbents face challenges in adopting generative AI technology due to reputational risk and the potential for offensive content
  • The emergence of AI capabilities is not a joke and may be bad news for startups
  • The moat for startups may be in the application or workflow rather than the model itself
Authors: Mark Swarbrick
2022-05-20

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Implementing Linkerd as a service mesh improved application resilience and reliability in a cloud hosting platform
  • Cloud hosting platforms have transient network failures and require TLS encryption for every microservice
  • Implementing application retry logic and MTLS through Linkerd improved reliability and resilience
  • Linkerd as a service mesh provided a perfect place to develop internal SLOs, dashboarding, and alerting
  • Buoyant Cloud subscription provided even better dashboard stats
Conference:  Transform X 2021
Authors: Jean-Denis Greze, Jag Duggal, Nima Ghamsari
2021-10-07

Melisa Tokmak (GM, Scale AI) moderates a discussion with Nima Ghamsari (CEO, Blend), Jag Duggal (CPO, Nubank), and Jean Dennis Greze (CTO, Plaid). Together, they discuss the evolution of financial services as companies race to put customer experience at the center of their focus while trying to reduce risk in the age of Machine Learning.