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Our new podcast on evals, with Max Niederman, Ege Erdil, and Stephen Yang. 0:00:00 – What's an eval, and how's it different from an RL environment? 0:19:33 – Why are models bad at building an emulator when the task is fully verifiable? 0:42:00 – How does training on bad... show more

Mechanize

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🎙️ New The Edge Podcast 😱 Why ETH Is Destined To Go So Much Higher 0:00 - Intro 8:12 - Key factors changing sentiment on ETH 13:04 - Impact of Etherealize 15:28 - A new united front at Ethereum Foundation 20:30 - vitalik.eth's vision for low-risk DeFi 33:14 - To believe in somETHing 36:21 - Why is ETH still undervalued? 45:28 - Defensibility vs new alt L1 competitors 52:44 - Ethereum's uptime is an outlier feature 55:19 - Upcoming Fusaka upgrade 1:00:19 - Is the 4-year cycle still in play? 1:04:21 - ETH price in 2026 vs 2030 1:18:25 - Closing 🙏 Thanks to Ethereum community member and ETH investor ⟠ for joining us!

DeFi Dad ⟠ defidad.eth

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.funkii.sui put $100K of his own money in, shipped 5 protocols solo, and hit 8 figures in revenue. with no team, no grants, just conviction. The full conversation on why he's building on Sui 👇 Timestamps: 0:00 — Intro 0:55 — Funkii's background & going all-in on Sui 3:00 — How he discovered Sui 6:30 — Why Move is safer than Solidity 9:00 — Sui developer experience vs other chains 12:00 — Is Sui still early? 14:30 — Mission 69B: the company behind it all 17:00 — What’s Faith 20:00 — Tide: revenue-backed fundraising 25:00 — Why crypto is here to stay 27:30 — AI agents & crypto payments 33:00 — Walrus, Deep Book & the full Sui stack 36:00 — Cannibal: a permissionless Polymarket on Sui 40:30 — Distribution & growth strategy 42:00 — Sui's breakout moment 44:00 — Funkii's favorite Sui project

Sooraj

12,400 görüntüleme • 4 ay önce

.Satya Nadella gave me and Dylan Patel an exclusive tour of Fairwater 2, the most powerful AI datacenter in the world. We then chatted through Satya's vision for Microsoft in a world with AGI. 0:00:00 - Fairwater 2 0:04:15 - Business models for AGI 0:13:42 - Copilot 0:20:56 - Whose margins will expand most? 0:37:12 - MAI 0:48:42 - The hyperscale business 1:03:39 - In-house chip & OpenAI partnership 1:10:30 - The CAPEX explosion 1:16:01 - Will the world trust US companies to lead AI? Look up Dwarkesh Podcast on Youtube, Apple Podcasts or Spotify to tune in.

.Satya Nadella gave me and Dylan Patel an exclusive tour of Fairwater 2, the most powerful AI datacenter in the world. We then chatted through Satya's vision for Microsoft in a world with AGI. 0:00:00 - Fairwater 2 0:04:15 - Business models for AGI 0:13:42 - Copilot 0:20:56 - Whose margins will expand most? 0:37:12 - MAI 0:48:42 - The hyperscale business 1:03:39 - In-house chip & OpenAI partnership 1:10:30 - The CAPEX explosion 1:16:01 - Will the world trust US companies to lead AI? Look up Dwarkesh Podcast on Youtube, Apple Podcasts or Spotify to tune in.

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capability != learning new benchtalks with Parth Asawa on continual learning, where we discuss teaching models to learn from experience, measuring learning ability, the bet on parametric models, and more 01:06 What is continual learning? 04:10 Why capability and learning are different 06:13 Why build a benchmark? 08:07 Continual Learning Bench launch and reception 09:13 Anthropic's Fable release and Continual Learning Bench 11:02 How to design tasks for continual learning 18:41 The gain metric 24:01 What good looks like on the leaderboard 29:13 Failure modes: why models can't update their beliefs 31:12 Parametric systems and future architectures 34:30 Open science and AI safety 45:42 Lightning round 49:08 How to contribute to Continual Learning Bench

capability != learning new benchtalks with Parth Asawa on continual learning, where we discuss teaching models to learn from experience, measuring learning ability, the bet on parametric models, and more 01:06 What is continual learning? 04:10 Why capability and learning are different 06:13 Why build a benchmark? 08:07 Continual Learning Bench launch and reception 09:13 Anthropic's Fable release and Continual Learning Bench 11:02 How to design tasks for continual learning 18:41 The gain metric 24:01 What good looks like on the leaderboard 29:13 Failure modes: why models can't update their beliefs 31:12 Parametric systems and future architectures 34:30 Open science and AI safety 45:42 Lightning round 49:08 How to contribute to Continual Learning Bench

vincent sunn chen

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