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4,459개정렬
11:20ENMatthew Berman Adapts Mixture of Agents to Groq InferenceMatthew Berman · Forward FutureA 2024 tutorial changes an open-source multi-model ensemble to use Groq, then tests its interactive output and fixes a streaming error.
1:06:53ENMatt Clifford on AI Scaling, China, Defense and Finding Founders게스트 Matt Clifford · 진행자 Harry StebbingsThe Entrepreneur First co-founder weighs new AI ideas against compute constraints, examines competing scenarios for China, and explains how he evaluates entrepreneurial talent.
1:48:41ENAGI Has Been a Moving Goalpost for Seventy Years진행자 Nathan Labenza16z’s Martin Casado and host Nathan Labenz spend two hours arguing whether today’s models will become general knowledge workers, and whether that debate should drive AI regulation.
9:06ENTesting Nemotron-4 340B: Synthetic Data and a Handful of Reasoning TasksMatthew Berman · Matthew BermanMatthew Berman reviews NVIDIA’s 2024 model family for synthetic data and tries a small set of coding, arithmetic and logic prompts.
1:01:42ENSamir Vasavada on Vise: Fundraising, Hiring and Rebuilding After Rapid Growth게스트 Samir Vasavada · 진행자 Harry StebbingsThe Vise co-founder reflects on raising capital quickly, executive hiring, a company reset and the personal pressure of building a startup young.
15:43ENHard Fork’s Technology News Game: AI Safety, Drive-Throughs and Comedy진행자 Kevin Roose, Casey NewtonA 2024 roundup examines product failures, research and responsibility.
24:25ENHard Fork on Defense Technology and the Ethics of Military AI게스트 Chris Kirchhoff · 진행자 Kevin Roose, Casey NewtonA 2024 discussion examines procurement, Silicon Valley and strategic risk.
34:09ENFive Independent Teams Found the Same 10-to-1 Mix That Beats Transformers진행자 Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.
1:47:18ENA Cannabis Clip Sat Quiet for a Year. Then It Hit X.게스트 Andrew Huberman · 진행자 Lex FridmanAndrew Huberman talks with Lex Fridman about online pile-ons, still minds, sharks, ayahuasca, and the slow work of picking who you eat with.
0:58ENNVIDIA Tools for Game Streaming and Video EffectsMatthew Berman · Forward FutureIn a sponsored 2024 short, Matthew Berman describes hardware video encoding and NVIDIA Broadcast features for streamers.
1:54:01ENA Tiny Network Grew a Salt Crystal the Training Data Never Showed진행자 Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.
9:15ENOpenWorm, Neural Connectomes and the Simulation HypothesisMatthew Berman · Forward FutureMatthew Berman explores an open-source C. elegans modeling project and asks philosophical questions about simulating life, consciousness and reality.
1:09:08ENAndrew Bialecki on Klaviyo’s Bootstrapping, Shopify Partnership and IPO게스트 Andrew Bialecki · 진행자 Harry StebbingsThe Klaviyo CEO discusses early product iteration, customer economics, public markets and his hopes for AI.
59:11ENDon't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.
58:18ENDavid Luan on Model Scaling, AI Agents and Competition Across the Chip Stack게스트 David Luan · 진행자 Harry StebbingsThe Adept co-founder explains his views on compute, vertical integration, enterprise agents and why human interaction should shape AI product design.
14:36ENProgramming with OCaml's Local ModeRichard Eisenberg · Jane StreetAn example shows how a local list can contain global values, why a non-escaping annotation alone does not ensure stack allocation, and where the experimental feature remains awkward.
10:57ENTesting Claude 3.5 Sonnet: Coding, Reasoning, and VisionMatthew Berman · Forward FutureMatthew Berman puts Anthropic’s June 2024 model through informal coding, math, puzzle, and image-understanding prompts.
12:55ENTesting Mixture-of-Agents on Coding, Arithmetic and ReasoningMatthew Berman · Forward FutureMatthew Berman tries a multi-model setup on his informal LLM rubric and finds strong individual answers alongside coding and counting failures.
1:37:07ENA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.진행자 Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.
16:11ENAI News in June 2024: SSI, Tree Search, Meta, Claude and ARC PrizeMatthew Berman · Forward FutureMatthew Berman reviews new AI research, product launches and a competition, with context on historical benchmarks and uncertain claims.
16:49ENHow Apple's On-Device and Private Cloud Models WorkMatthew Berman · Forward FutureMatthew Berman examines Apple's 2024 foundation-model overview, from training data and quantization to task adapters and human evaluations.
58:16ENVal Scholz on Revolut’s Referral Growth, Hiring and Scaling게스트 Val Scholz · 진행자 Harry StebbingsThe former Revolut growth leader explains onboarding, referrals, experimentation and the organizational challenges of rapid growth.
13:18ENTesting Local AI on a Dual RTX 6000 WorkstationMatthew Berman · Forward FutureMatthew Berman tests language models, concurrent inference, and image generation on a Dell Precision tower supplied by Dell and NVIDIA.
27:26ENA 40-Person Company With 40,000 Paying Customers Wants to Replace the Camera With AI진행자 Sarah Guo, Elad GilHeyGen CEO Joshua Xu tells Sarah Guo and Elad Gil how avatars, localization, and a component-wise video stack are meant to knock the camera out of content production.
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