Los mejores podcasts de Sequoia Capital (2024)

1
What Sequoia Capital Can Teach Leaders About Sustaining Long-Term Growth 28:53

12h ago28:53

28:53

Sequoia Capital, a venture capital firm founded in 1972, grew to become one of the most storied venture capital firms in the world. The firm’s investment track record includes the names of some of the largest global companies. But the venture capital industry began facing new challenges in 2022, and investors were increasingly cautious. At that tim…

1
OMG OpenAI's o1 is a LogicQuake! The AI Reasoning Layer, Sequoia Capital 6:42

1d ago6:42

6:42

The source, "Generative AI's Act o1: The Reasoning Era Begins | Sequoia Capital," discusses the evolution of AI models from simply mimicking patterns to engaging in more deliberate reasoning. The authors argue that the next frontier in AI is the development of "System 2" thinking, where models can reason through complex problems and make decisions …

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20VC: Sequoia Capital's $9BN Global Equities Fund on The Future for NVIDIA, Google & Meta | How to Play AI in the Public Markets | China & Europe: Is the Future Bleak | The Opportunity for Crossover Funds ... 1:12:11

7d ago1:12:11

1:12:11

Jeff Wang is the Managing Partner of Sequoia Capital Global Equities (SCGE), a public/private crossover investment firm with investments spanning from late-stage private companies to public companies. As Managing Partner, Jeff has primarily focused on public growth technology companies but has also invested $3 billion in private companies including…

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How Sequoia Capital’s Roelof Botha is forging the future 59:57

26d ago59:57

59:57

Sequoia Capital’s Roelof Botha, one of Silicon Valley’s most highly respected investors, discusses his career, Sequoia’s unique culture and investment processes, and how he finds and builds enduring businesses.Por Goldman Sachs

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Does RAG Even Scale? EyeLevel vs LangChain 7:55

2h ago7:55

7:55

A research team from EyeLevel.ai has found that vector databases, which are commonly used in RAG (Retrieval-Augmented Generation) systems, have a scaling problem. Their research shows that the accuracy of vector similarity search degrades significantly as the number of pages in the database increases, leading to a substantial performance hit. This …

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WHY Are Probability And Stats Foundational to ML and DL? 13:39

4h ago13:39

13:39

Probability and statistics are fundamental components of machine learning (ML) and deep learning (DL) because they provide the mathematical framework for understanding and analyzing data, which is crucial for making predictions and decisions. This excerpt from the "Dive into Deep Learning" documentation explains the essential concepts of probabilit…

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More gains ahead for US stocks? 19:49

6h ago19:49

19:49

The S&P 500 has staged a remarkable rally since the start of the year. How much more upside should investors expect — and what could drive those gains? Goldman Sachs Research’s David Kostin and Ryan Hammond from the US portfolio strategy team explain the drivers and risks to their year-end and 12-month targets for US equities.…

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Google NotebookLM’s Raiza Martin and Jason Spielman on Creating Delightful AI Podcast Hosts and the Potential for Source-Grounded AI 32:07

16h ago32:07

32:07

NotebookLM from Google Labs has become the breakout viral AI product of the year. The feature that catapulted it to viral fame is Audio Overview, which generates eerily realistic two-host podcast audio from any input you upload—written doc, audio or video file, or even a PDF. But to describe NotebookLM as a “podcast generator” is to vastly undersel…

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Finally? Super-Accurate Weather Forecasts with AI 8:04

18h ago8:04

8:04

This research paper examines a new deep-learning approach to optimizing weather forecasts by adjusting initial conditions. The authors test their method on the 2021 Pacific Northwest heatwave, finding that small changes to initial conditions can significantly improve the accuracy of 10-day forecasts using both the GraphCast and Pangu-Weather deep-l…

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E60: How Lightspeed Invests in AI and Beyond with Arif Janmohamed 36:08

18h ago36:08

36:08

This week on Turpentine VC, Erik Torenberg is joined by Arif Janmohamed, partner at Lightspeed Ventures to dive into the world of AI investment. They explore Lightspeed's evolution from a strong focus on enterprise early-stage investing to becoming a global multi-stage firm with a $7 billion capital reach. Arif shares insights on identifying market…

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The Future of Contact Centers: Gaurav of Verloop 48:51

20h ago48:51

48:51

Contact centers/ support offices are changing and what was seen as a boring space is..the HOTTEST space in the Gen AI world! In this episode of the Ashish Sinha Show, I talk to Gaurav Singh, founder of Verloop on how contact centers are evolving, how the ICPs are evolving and importantly, how does BPO2.0 will look like. In this episode, we talk abo…

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Let's Descend: Why Calculus is Important in Deep Learning 11:00

1d ago11:00

11:00

An introduction to the fundamental concepts of calculus, explaining how they are essential for understanding deep learning. It begins by illustrating the concept of a limit using the calculation of a circle's area, before introducing the concept of a derivative, which describes a function's rate of change. It then extends these concepts to multivar…

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Assemble Your Team! OpenAI's Swarm 8:43

1d ago8:43

8:43

Swarm is an experimental, educational framework from OpenAI that explores ergonomic interfaces for multi-agent systems. It is not intended for production use, but serves as a learning tool for developers interested in multi-agent orchestration. Swarm uses two main concepts: Agents and handoffs. Agents are entities that encapsulate instructions and …

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Bio-Origami: The 2024 Nobel Prize in Chemistry for AI Protein Folding (DeepMind) 10:49

1d ago10:49

10:49

The provided sources detail the groundbreaking work of three scientists who were awarded the 2024 Nobel Prize in Chemistry for their contributions to protein structure prediction using artificial intelligence. David Baker, a biochemist, developed a computer program to create entirely new proteins, while Demis Hassabis and John Jumper, from Google D…

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20VC: Investing Lessons from Seeding Uber, Airtable and Coupang | Why Pro Rata is the Original Sin in VC | Why Liquidity Has Died in 2024 | Why LPs are Pissed with VCs | The Hard Truth About Seed Fund ... 1:27:20

2d ago1:27:20

1:27:20

David Frankel is the Co-Founder and Managing Partner of Founder Collective, one of the best seed firms of the last decade. David has led rounds in companies such as Suno, Coupang, SeatGeek and PillPack (sold to Amazon for ~$1B). Previously, David was Co-Founder and CEO of Internet Solutions (IS), the largest ISP in Africa, ultimately acquired by NT…

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Anthropic Controversy: Dario Amodei's Machines of Loving Grace Post 13:40

2d ago13:40

13:40

Dario Amodei, CEO of Anthropic, argues that powerful AI could revolutionize various fields, including healthcare, neuroscience, economics, and governance, within 5-10 years. He envisions a future where AI could cure most diseases, eradicate poverty, and even promote democracy. However, this optimistic vision is met with skepticism from Reddit users…

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RAG for LLMs: An Overview 19:34

3d ago19:34

19:34

This paper examines the rapidly developing field of Retrieval-Augmented Generation (RAG), which aims to improve the capabilities of Large Language Models (LLMs) by incorporating external knowledge. The paper reviews the evolution of RAG paradigms, from the early "Naive RAG" to the more sophisticated "Advanced RAG" and "Modular RAG" approaches. It e…

1
Certainty and OOD Detection in Medical Images and Multiple Sclerosis 7:14

4d ago7:14

7:14

This research paper investigates the challenges of detecting Out-of-Distribution (OOD) inputs in medical image segmentation tasks, particularly in the context of Multiple Sclerosis (MS) lesion segmentation. The authors propose a novel evaluation framework that uses 14 different sources of OOD, including synthetic artifacts and real-world variations…

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LLM DIFF Transformer with SoftMax Subtraction 12:48

4d ago12:48

12:48

This paper presents a new architecture for large language models called DIFF Transformer. The paper argues that conventional Transformers over-allocate attention to irrelevant parts of the input, drowning out the signal needed for accurate output. DIFF Transformer tackles this issue by using a differential attention mechanism that subtracts two sof…

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Data Pruning to Improve AI Performance 17:00

4d ago17:00

17:00

The source is a blog post that describes the author's journey in exploring the potential of data pruning to improve the performance of AI models. They start by discussing the Minipile method, a technique for creating high-quality datasets by clustering and manually discarding low-quality content. The author then explores the concept of "foundationa…

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OpenAI's o1 and Journey Learning 7:28

4d ago7:28

7:28

This paper details the authors' research journey to replicate OpenAI's "O1" language model, which is designed to solve complex reasoning tasks. The researchers document their process with detailed insights, hypotheses, and challenges encountered. They present a novel paradigm called "Journey Learning" that enables models to learn the complete explo…

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Forward and Backpropagation 6:25

4d ago6:25

6:25

Let's get into the core processes of forward propagation and backpropagation in neural networks, which form the foundation of training these models. Forward propagation involves calculating the outputs of a neural network, starting with the input layer and moving towards the output layer. Backpropagation then calculates the gradients of the network…

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MLE-bench for Engineering Tasks 10:23

4d ago10:23

10:23

This research introduces MLE-bench, a benchmark for evaluating how well AI agents perform machine learning engineering tasks. The benchmark is comprised of 75 Kaggle competitions, chosen for their difficulty and representativeness of real-world ML engineering skills. Researchers evaluated several state-of-the-art language models on MLE-bench, findi…

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20VC: Why Most AI Investments Will Do Worse than the S&P 500 | Why Early Stage VC is F******* | The Danger of Kamala Harris and Why Trump and Vance are Best | Freedom of Speech, Censorship and Government ... 46:39

5d ago46:39

46:39

Eoghan McCabe is the Co-Founder and CEO @ Intercom, one of the largest private software companies in the valley with hundreds of millions in revenue and thousands of customers. To date, Eoghan has raised over $238M from Index, Kleiner Perkins, ICONIQ, GV, Bessemer and more incredible firms. Intercom’s goal is to reinvent customer service with AI ag…

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How to find alpha: Bridgewater Associates' Co-CIO Karen Karniol-Tambour 49:22

5d ago49:22

49:22

Bridgewater Associates’ Co-CIO Karen Karniol-Tambour describes where she’s seeing opportunities for higher returns and the macro factors shaping today’s investment landscape. To hear from more Great Investors, check out: Sequoia Capital’s Roelof Botha on building enduring businesses, Blackstone’s Joe Baratta on the outlook for private equity, and T…

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AI in Dentistry: CNNs for Segmenting and Classifying Dental Images 8:33

5d ago8:33

8:33

This systematic literature review investigates the use of convolutional neural networks (CNNs) for segmenting and classifying dental images. The review analyzes 45 studies that employed CNNs for various tasks, including tooth detection, periapical lesion detection, caries identification, and age and sex determination. The authors explore the differ…

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AI in Dentistry: Diagnosing TMD with MRIs 7:14

5d ago7:14

7:14

This research paper proposes an AI-driven diagnostic system for Temporomandibular Joint Disorders (TMD) using MRI images. The system employs a segmentation method to identify key anatomical structures like the temporal bone, temporomandibular joint (TMJ) disc, and condyle. Using these identified structures, the system utilizes a decision tree based…

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AI in Dentistry: ChatGPT for Dental Diagnosis and Treatment 9:25

5d ago9:25

9:25

This research explores the potential for integrating ChatGPT and large language models (LLMs) into dental diagnostics and treatment. The authors investigate the use of these AI tools in various areas of dentistry, including diagnosis, treatment planning, patient education, and dental research. The study examines the benefits and limitations of LLMs…

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AI in Dentistry: OMG, Machine Learning that links TMD and OSA 12:28

5d ago12:28

12:28

This research paper explores the link between temporomandibular disorder (TMD) and obstructive sleep apnea (OSA). The authors created a machine learning algorithm to predict the presence of OSA in TMD patients using multimodal data, including clinical characteristics, portable polysomnography, X-ray, and MRI. Their model achieved high accuracy, wit…

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AI in Dentistry: Reading Intraoral Radiographs 5:13

5d ago5:13

5:13

This article describes a clinical validation study that investigates the effectiveness of a deep learning algorithm for detecting dental anomalies in intraoral radiographs. The algorithm is trained to detect six common anomaly types and is compared to the performance of dentists who evaluate the images without algorithmic assistance. The study util…

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AI in Dentistry: 3D X-Rays? Cone Beam Computed Tomography 8:16

5d ago8:16

8:16

Read more: https://arxiv.org/pdf/2306.03025Por Brian Carter

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AI in Dentistry: Design and create new teeth... VF Net for Dental Point Clouds 7:40

5d ago7:40

7:40

This paper introduces a new variational autoencoder called VF-Net, specifically designed for dental point clouds. The paper highlights the limitations of existing point cloud models and how VF-Net overcomes them through a novel approach, ensuring a one-to-one correspondence between points in the input and output clouds. The paper also introduces a …

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AI in Dentistry: Detecting occlusal contacts in dental images with AI 10:42

5d ago10:42

10:42

This research paper focuses on the development of a deep learning model, Hierarchical Fully Convolutional Branch Transformer (H-FCBFormer), designed to automatically detect occlusal contacts in dental images. The model utilizes a combination of Vision Transformer and Fully Convolutional Network architectures and incorporates a Hierarchical Loss Fun…

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AI in Dentistry: Mental Foramen Detection and Segmentation 8:45

5d ago8:45

8:45

This research paper explores the use of deep learning to improve the accuracy of detecting and segmenting the mental foramen in dental orthopantomogram images. The authors compared the performance of various deep learning models, including U-Net, U-Net++, ResUNet, and LinkNet, using a dataset of 1000 panoramic radiographs. The study found that the …

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An Intro and History of Knowledge Graphs 8:21

5d ago8:21

8:21

This article from AI Magazine explores the rise of knowledge graphs (KGs) as a powerful tool for organizing and integrating information. It delves into the history of KGs, highlighting their evolution from early semantic networks to the large-scale, complex systems we see today. The article contrasts key approaches to building and using KGs, includ…

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UiPath ft. Daniel Dines - From Bootstrapping in Bucharest to One of Software’s Biggest IPOs 41:35

6d ago41:35

41:35

The biggest enterprise software company to come out of Europe in the last decade didn’t come from London, Paris, Berlin or Stockholm—but Bucharest, Romania. UiPath, founded in 2005 and originally called DeskOver, was a scrappy handful of engineers bootstrapping out of an apartment in Bucharest for about a decade, seeking in vain for product-market …

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E59: Mike Maples Jr. on Disruptive Investing 57:49

6d ago57:49

57:49

Mike Maples Jr., Founding Partner at Floodgate, sits down with David Weisburd to discuss Mike’s new book “Pattern Breakers: Why Some Start-Ups Change the Future”. This is a masterclass on early-stage venture investing. Mike shares his views on identifying ideas and founders that led to his early investments in Lyft, Twitter, and Okta. They also cov…

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LLMs, Knowledge Graphs, and Hallucination 8:55

6d ago8:55

8:55

This research paper examines the relationship between the size of language models (LMs) and their propensity to hallucinate, which occurs when an LM generates information that is not present in its training data. The authors specifically focus on factual hallucinations, where a correct answer appears verbatim in the training set. To control for the…

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20Angel: Reece Chowdhry: Founder, Concept Ventures on why the Best Investments are the Weirdest, Using Body Language Experts for DD and why Most VC's Can't Handle Pre-Seed 42:00

7d ago42:00

42:00

20Angel is a series profiling European angel investors with the best Founder NPS. Episode 18 features Reece Chowdhry, Founder of Concept Ventures, now the UK’s largest dedicated pre-seed fund. Together, Reece and Concept Ventures have invested in over 100 startups, including some of the UK’s fastest-growing companies, such as unicorn Elevenlabs, Tr…

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AIs Improving Themselves? Automated Design of Agentic Systems 7:37

7d ago7:37

7:37

The paper proposes a new research area called Automated Design of Agentic Systems (ADAS), which aims to automatically create powerful AI systems, including inventing new components and combining them in novel ways. The authors introduce Meta Agent Search, an algorithm that uses a meta agent to iteratively program increasingly sophisticated agents b…

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Why oil and gold prices could keep rising 17:44

7d ago17:44

17:44

Escalating conflicts in the Middle East, coupled with China’s latest round of stimulus, are changing the supply-and-demand dynamics for oil prices. Goldman Sachs Research’s Daan Struyven, co-head of commodities research, explains the implications for oil and gold prices.Por Goldman Sachs

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The Secret School for the World’s Best Startup Founders 11:45

7d ago11:45

11:45

This article from The Generalist examines Avra Capital, a new kind of venture fund founded by Anu Hariharan, a former Y Combinator executive. Avra’s unique approach combines a selective program for growth-stage entrepreneurs with a venture fund. The program provides founders with tactical masterclasses, taught by experienced CEOs, covering crucial …

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AI Art, DiTs and the new Dynamic Diffusion Transformer (DyDiT) 14:21

7d ago14:21

14:21

The provided sources describe a novel approach, Dynamic Diffusion Transformer (DyDiT), designed to improve the computational efficiency of Diffusion Transformer (DiT) models for image generation. DyDiT dynamically adapts its computational resources based on the varying complexities associated with different timesteps and spatial regions during imag…

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Bye James Cameron! Meta AI's NEW Movie Gen Model 11:29

8d ago11:29

11:29

This research paper from Meta AI describes "Movie Gen," a series of foundational models capable of generating high-quality videos and synchronized audio. The paper discusses the models' capabilities, including text-to-video synthesis, video personalization, video editing, and audio generation. It outlines the architecture, training process, and eva…

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Aha! Helping StartUp Developers Give a @#$ About Your Product 12:52

8d ago12:52

12:52

This article, written by the Head of Developer Community at SignalFire, a venture capital firm, provides a guide for startup founders on how to develop a successful developer relations strategy. The author emphasizes the importance of focusing on the "aha" moment, or the point at which developers experience the core value of a product. The article …

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