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FPV’s Chan: We Never, Ever Invested Into the AI Hype

FPV Ventures Co-Founder and Managing Partner Wesley Chan joins Caroline Hyde and Ed Ludlow to discuss its $450 million fund focused on investing in mission-driven founders, as well as investing opportunities and the hype around generative AI. ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest full episodes of “Bloomberg Technology” with…

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FPV Ventures Co-Founder and Managing Partner Wesley Chan joins Caroline Hyde and Ed Ludlow to discuss its $450 million fund focused on investing in mission-driven founders, as well as investing opportunities and the hype around generative AI.
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9 Comments

9 Comments

  1. C.V. V

    June 9, 2023 at 6:46 pm

    so there are smart investors like this guy still out there

  2. Thomas Swedmore

    June 9, 2023 at 11:21 pm

    when you try to look at everyone at the same time and end up looking at nobody.

  3. Religion Is for low IQ people

    June 10, 2023 at 8:45 am

    Smart guy

  4. rodney Pantony

    June 10, 2023 at 1:06 pm

    Proteins ARE robots and DeepMind/Alphafold enables humanity to harness about 200,000,000 nano robots. This adds trillions to global economy. One billion Ph.D. protein science years, or one million Ph.D. protein science candidates producing 10,000 protein science papers annually, can now translate the science to clinical and commercial applications. Previously protein Ph.D. students spent 5 years of drudgery and obscurity to solve one protein, now they can match nanorobots to practical application. Ditto other AI breakthroughs, producing more work, prosperity.

    It’d be nice to revisit the documentary The Symphony of the Soil and identify all species of soil microbes, 1,000s, 1,000,000s, 1,000,000,000s, etc and all past Planet Earth environments, just in case…

    Note that simply by switching your model of the world, you bring about great effects. ( PS I have satisfied myself that atoms are elemental quantum computers.)

    Action Required: Compute, verify or rebut that Proteins are Nanorobots which will add trillions to Global .

    Audi alteram partem from ChatGPT…( What ChatGPT misses is that proteins are dynamic, much like robots, or that proteins are like tradesmen and women on a construction site)

    ChatGPT

    While proteins and nanorobots are fundamentally different in their composition and origin, there are a few similarities between them:

    Functionality: Both proteins and nanorobots can be designed or evolved to perform specific functions. Proteins have diverse functions within living organisms, such as enzymatic catalysis, molecular transport, and signaling. Similarly, nanorobots are engineered to perform specific tasks, such as targeted drug delivery, sensing, or manipulation of biological systems.

    Structural Complexity: Both proteins and nanorobots can possess intricate structures. Proteins fold into complex three-dimensional shapes determined by their amino acid sequence, allowing them to carry out their specific functions. Similarly, nanorobots can be designed with intricate architectures and nanoscale components to achieve precise functionality.

    Manipulation and Interaction: Both proteins and nanorobots can interact with other molecules or entities in their environment. Proteins can bind to specific molecules, such as substrates or ligands, and undergo conformational changes to perform their functions. Nanorobots can also be designed to interact with specific targets, whether through molecular recognition, surface interactions, or other mechanisms.

    Application Potential: Both proteins and nanorobots have potential applications in various fields. Proteins are extensively studied and utilized in biotechnology, medicine, and other areas for their functional properties. Nanorobots, although still in the early stages of development, hold promise for applications in fields like medicine, nanoscale manufacturing, and environmental sensing.

    It’s important to note that these similarities should not overshadow the fundamental differences between proteins and nanorobots, as proteins are natural biological molecules while nanorobots are man-made devices.

  5. Chloné

    June 11, 2023 at 10:23 am

    the term AI itself is so broad. Most companies are doing conditioning and filtering

  6. Ish Mail

    June 12, 2023 at 2:27 am

    GBT Technologies is about to skyrocket.

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Were You Impressed by Google’s New Pixel Devices? Tech Editors React to Made by Google 2026

Our top mobile and health tech editors from PCMag, CNET and ZDNET share their thoughts on Google’s Made by Google Pixel event hosted by Trevor Noah. What were the coolest features on the new Pixel devices, and what felt like a dud? Read more about the Made by Google event on CNET.com: Made by Google…

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Our top mobile and health tech editors from PCMag, CNET and ZDNET share their thoughts on Google’s Made by Google Pixel event hosted by Trevor Noah. What were the coolest features on the new Pixel devices, and what felt like a dud?

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Made by Google 2026: Pixel 11 Event Date, Time, How to Watch and What to Expect

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Everything Revealed at Made by Google 2026 in Less Than 12 Minutes

Google revealed its new lineup of Pixel 11 Phones, Pixel Buds Pro, the Pixel Watch 5 and the new Pixel Tag at its Made by Google event, hosted by Trevor Noah. Check out all the highlights and product reveals in less than 12 minutes. You can find the products mentioned in this article linked below…

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Google revealed its new lineup of Pixel 11 Phones, Pixel Buds Pro, the Pixel Watch 5 and the new Pixel Tag at its Made by Google event, hosted by Trevor Noah. Check out all the highlights and product reveals in less than 12 minutes.

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Silicon Data Raises $30.5M to Benchmark AI Compute

Silicon Data has raised $30.5 million to expand its pricing and performance benchmarks for the rapidly growing AI compute market. CEO Carmen Li joins Bloomberg to discuss the company’s ambition to become an “independent referee” for compute, CME’s planned GPU futures tied to Silicon Data benchmarks, and what its data says about the value and…

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Silicon Data has raised $30.5 million to expand its pricing and performance benchmarks for the rapidly growing AI compute market. CEO Carmen Li joins Bloomberg to discuss the company’s ambition to become an “independent referee” for compute, CME’s planned GPU futures tied to Silicon Data benchmarks, and what its data says about the value and depreciation of older chips. She joins Ed Ludlow on “Bloomberg Tech.”
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