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After I sat down with Lane Bess, CEO of Deep Intuition, and Dinakar Munagala, CEO of Blaize, I did not count on the dialog to vary from AI-powered cybersecurity to the challenges of edge computing and area journey. However that is what I really like about these interviews — they’re by no means nearly enterprise methods or forecasting. They’re about how leaders assume, what drives them, and I get a little bit of perception into their experiences as enterprise leaders.
Lane runs Deep Intuition, a cybersecurity firm utilizing deep studying AI to forestall assaults earlier than they happen. He talked about how “darkish AI” is making prevention essential, as cyber threats evolve with horrifying velocity. Dinakar’s firm, Blaize, builds semiconductor chips for edge AI purposes — primarily bringing the brainpower of AI on to the place knowledge is captured. At the least that is what my non-technological mind comprehended when he instructed me about it.
What caught with me was their view on AI as each savior and risk. Each CEOs see AI as a web constructive for society, but they’re practical about its dangers. Lane identified how AI makes cyber assaults exponentially quicker and extra harmful. Dinakar famous that wars developed from people to machines, and now we’re getting into an period of AI warfare. It was sobering however vital to listen to leaders acknowledge the darkish facet of the instruments they champion.
We additionally touched on their private journeys. Lane shared how he grew up wanting monetary safety after a childhood in a damaged residence, whereas Dinakar recounted his household’s entrepreneurial roots in India — from his grandfather transporting rice by way of waterways to his father’s company management. Each left steady company paths for riskier ventures, and each admitted concern performed a job. Dinakar known as leaving Intel “loopy on the time,” whereas Lane described his near-signing with OceanGate’s ill-fated Titan mission as a second of pause that left him grateful for common sense.
Then there was area. Lane has been to area twice with Blue Origin and is an investor in Zero G flights. When requested why rich folks spend hundreds of thousands to orbit Earth whereas there are issues beneath, he stated it is about pioneering expertise that ought to finally develop into sensible for all. He is aware of the criticisms, however his perception in humanity’s future frontiers drives him ahead. This interview passed off shortly after the notorious Katy Perry flight, the place that Blue Origin crew acquired fairly a little bit of public backlash for his or her area flight.
Strolling away from this dialog, I discovered myself pondering much less concerning the technical particulars of cybersecurity or AI and extra concerning the mindset it takes to construct firms in these areas. Each Lane and Dinakar carry an urgency of their work — they perceive the dangers, the stakes and the velocity at which all of it evolves. However past that, there is a sense of accountability in how they lead. It jogged my memory that in industries moving this fast, management is not nearly having a imaginative and prescient for what’s subsequent. It is about having the conviction to behave on it earlier than anybody else does and doing so with integrity, so we make a greater world.
After I sat down with Lane Bess, CEO of Deep Intuition, and Dinakar Munagala, CEO of Blaize, I did not count on the dialog to vary from AI-powered cybersecurity to the challenges of edge computing and area journey. However that is what I really like about these interviews — they’re by no means nearly enterprise methods or forecasting. They’re about how leaders assume, what drives them, and I get a little bit of perception into their experiences as enterprise leaders.
Lane runs Deep Intuition, a cybersecurity firm utilizing deep studying AI to forestall assaults earlier than they happen. He talked about how “darkish AI” is making prevention essential, as cyber threats evolve with horrifying velocity. Dinakar’s firm, Blaize, builds semiconductor chips for edge AI purposes — primarily bringing the brainpower of AI on to the place knowledge is captured. At the least that is what my non-technological mind comprehended when he instructed me about it.
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