درباره این پادکست 🔗
Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society.
The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an offer to buy an interest in any investment fund.
The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an offer to buy an interest in any investment fund.
فرکانس به روز رسانی:
every 9 days
میانگین طول صدا:
47 minutes
مصاحبه های مهمان
انگلیسی
ایالات متحده آمریکا
115 قسمت
از سال 5 ژوئن 2024
episodic
AUDIENCE OF THIS PODCAST 🔗
~66.35% of listeners are from United States.
🇺🇸
US
66.35%
🇪🇸
ES
3.43%
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SG
3.43%
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CA
2.42%
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DE
1.92%
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BR
1.67%
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IN
1.50%
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HK
1.08%
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TW
1.08%
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JP
1.00%
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GB
1.00%
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PL
0.92%
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AU
0.92%
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MX
0.75%
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RU
0.75%
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CL
0.66%
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FR
0.66%
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BD
0.66%
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AR
0.58%
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IE
0.58%
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IQ
0.50%
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ID
0.50%
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SE
0.41%
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PK
0.41%
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CO
0.41%
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NL
0.41%
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VN
0.33%
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ZA
0.33%
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UA
0.33%
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CH
0.33%
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HR
0.25%
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PH
0.25%
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0.25%
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0.16%
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0.16%
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0.16%
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0.16%
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0.16%
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PT
0.16%
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0.16%
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0.16%
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KE
0.16%
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OM
0.16%
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KR
0.16%
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EG
0.16%
Others
2.01%
* Data source: directly measured on Listen Notes. بلادرنگ
آخرین اپیزود 🔗
Today’s agents are stuck in what Ronak Malde calls “pseudo continual learning”: intelligent, but updated in offline batches, like a paper road map you can’t reroute mid-trip. Ronak, co-founder of Trajectory, explains why closing that loop is the next learning paradigm, and why training your own mod…
جستجوی اپیزودهای گذشته
اپیزودهای قبلی Training Data را جستجو کن.
اپیزود قبلی 🔗
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David Silver spent two years building AlphaGo on human data. When he removed human data altogether building AlphaGo Zero, the AI surpassed AlphaGo in under two days. He left DeepMind to run that same bet in pursuit of superintelligence. David and Lasse Espeholt, co-founders of Ineffable Intelligenc…
At 100,000-accelerator scale, something fails multiple times an hour, which is why Google's Chief Technologist for AI Infrastructure Amin Vahdat thinks FLOPS is a vanity metric. The metric that matters is what he calls goodput: the useful work a workload actually delivers through real failures. Ami…
Starting a company is hard. Reinventing your company for AI as a public company with quarterly earnings results is even harder. Aaron Levie has pulled off the transition with Box and offers hard-won advice for founders. The cofounder and CEO of Box argues the value isn't only in the model; it's in …
Most public safety technology companies grow by collecting more data. Peregrine inverted the model: no sensors, no new data, a business built on connecting the data and information cities already own. Co-founders Nick Noone and Ben Rudolph received more than two dozen no's before San Pablo PD let t…
Parag Agrawal is making a bet that goes against two decades of web search: agents will query the web a thousand times more than humans ever have, and the infrastructure built around human clicks is wrong for them. The former Twitter CEO, now founder and CEO of Parallel Web Systems, explains why Par…
Rich Sutton, who helped pioneer reinforcement learning and wrote the seminal AI essay The Bitter Lesson, has now cofounded Oak Lab with his former student Khurram Javed. Their goal: to build agents that continuously learn from their own experience rather than from us. Rich doesn't think he holds a …
Most people treat biology as a bespoke, messy science. Josh Meier and Matt McPartlon, co-founders of Chai Discovery, treat it as an engineering problem. They make the case that drug design obeys the bitter lesson: scale data, models, and compute, and the model can learn what a hand-built pipeline s…
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‐ Albert "Llamacorn" Einstein
جستجوی اپیزودهای گذشته
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