最高の Convergent Trading ポッドキャスト (2024)

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#385: Vugar Usi Zade, COO of Bitget, on The Current State and Future of Crypto in Canada 33:50

11h ago33:50

33:50

Vugar is an award-winning senior manager and communications expert with 15 years of progressive hands-on experience spanning Fortune 500 giants to dynamic startups, currently serving as Chief Operating Officer at Bitget. A stalwart in the Web3 and blockchain arena, Vugar previously assumed the role of Chief Marketing Officer at Beincrypto, leaving …

1
LiSTNR Adtech Hub pushes digital audio network to break even a year early as agencies, brands pile-in; new APIs, ANZ spend data, retargeting and Scope3 CO2 mapping next 26:32

12h ago26:32

26:32

SCA in March launched three big tech bets for its LiSTNR master app – a customer data platform (CDP), customer-specific data matching clean rooms and dynamic creative optimisation. The bets are paying off and SCA is no longer reliant on third party data sources. Execs say the platform and its 2.1m logged-in users already command over 40 per cent of…

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[QA] Do Mice Grok? Glimpses of Hidden Progress During Overtraining in Sensory Cortex 10:52

13h ago10:52

10:52

The study reveals that task-specific representation learning continues in mice's piriform cortex during overtraining, enhancing classification accuracy despite behavior plateauing, suggesting hidden learning mechanisms at play. https://arxiv.org/abs//2411.03541 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pape…

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Do Mice Grok? Glimpses of Hidden Progress During Overtraining in Sensory Cortex 15:09

13h ago15:09

15:09

The study reveals that task-specific representation learning continues in mice's piriform cortex during overtraining, enhancing classification accuracy despite behavior plateauing, suggesting hidden learning mechanisms at play. https://arxiv.org/abs//2411.03541 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pape…

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[QA] How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis 7:22

13h ago7:22

7:22

This study explores how transformers, both small and large, perform complex logical reasoning, identifying key circuits and mechanisms involved in planning and reasoning through a synthetic propositional logic problem. https://arxiv.org/abs//2411.04105 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple …

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How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis 22:34

13h ago22:34

22:34

This study explores how transformers, both small and large, perform complex logical reasoning, identifying key circuits and mechanisms involved in planning and reasoning through a synthetic propositional logic problem. https://arxiv.org/abs//2411.04105 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple …

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[QA] Discovering Data Structures: Nearest Neighbor Search and Beyond 7:59

1d ago7:59

7:59

We present a framework for end-to-end learning of data structures, optimizing query and space complexity, applied to nearest neighbor search and frequency estimation in data streams. https://arxiv.org/abs//2411.03253 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com…

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Discovering Data Structures: Nearest Neighbor Search and Beyond 28:18

1d ago28:18

28:18

We present a framework for end-to-end learning of data structures, optimizing query and space complexity, applied to nearest neighbor search and frequency estimation in data streams. https://arxiv.org/abs//2411.03253 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com…

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[QA] BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? 7:36

1d ago7:36

7:36

The paper examines factors influencing stimulus reconstruction fidelity, revealing that powerful generative models can mislead interpretations of neural signal extraction effectiveness. It proposes improved evaluation metrics for reconstruction methods. https://arxiv.org/abs//2411.02783 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://…

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BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? 15:29

1d ago15:29

15:29

The paper examines factors influencing stimulus reconstruction fidelity, revealing that powerful generative models can mislead interpretations of neural signal extraction effectiveness. It proposes improved evaluation metrics for reconstruction methods. https://arxiv.org/abs//2411.02783 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://…

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Mining.com editor-in-chief Cecilia Jamasmie on mining in the United States 1:15:12

2d ago1:15:12

1:15:12

This week's episode features Mining.com Editor-in-Chief Cecilia Jamasmie in conversation with host Adrian Pocobelli, discussing U.S. mining policy. Jamasmie explains how attitudes toward mining have evolved across bipartisan lines, as awareness grows of the critical role minerals play in supply chains, national defense, and the green transition. Sh…

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#384: Jeff Garzik, CEO of Bloq and Hemi Network, on The Future of Bitcoin, Bridging Bitcoin and Ethereum, and Proof-of-Proof (PART TWO) 41:42

18h ago41:42

41:42

Jeff Garzik is the co-founder and CEO of Bloq and leader of the Hemi Network project. He has long been at the center of developing and commercializing open-source software related to Bitcoin and blockchain technology. Previously, he spent five years as a Bitcoin core developer and ten years at Red Hat. In this conversation, we discuss: - The Future…

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[QA] Adapting Language Models via Token Translation 8:13

4d ago8:13

8:13

Sparse Sinkhorn Token Translation (S2T2) improves text compression and inference in new domains by training tailored tokenizers and enabling effective token translation, enhancing performance in language models. https://arxiv.org/abs//2411.00593 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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Adapting Language Models via Token Translation 9:33

4d ago9:33

9:33

Sparse Sinkhorn Token Translation (S2T2) improves text compression and inference in new domains by training tailored tokenizers and enabling effective token translation, enhancing performance in language models. https://arxiv.org/abs//2411.00593 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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[QA] Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models 8:29

4d ago8:29

8:29

Specialized Sparse Autoencoders (SSAEs) enhance interpretability of foundation models by effectively capturing rare concepts, improving classification accuracy, and revealing insights into subdomain representations. https://arxiv.org/abs//2411.00743 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Pod…

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Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models 26:54

4d ago26:54

26:54

Specialized Sparse Autoencoders (SSAEs) enhance interpretability of foundation models by effectively capturing rare concepts, improving classification accuracy, and revealing insights into subdomain representations. https://arxiv.org/abs//2411.00743 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Pod…

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[QA] Tokenformer: Rethinking Transformer Scaling with Tokenized Model Parameters 7:51

5d ago7:51

7:51

Tokenformer introduces a scalable architecture that enhances Transformers' efficiency by using token-parameter attention, allowing for incremental scaling without retraining, thus reducing computational costs significantly. https://arxiv.org/abs//2410.23168 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers A…

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Tokenformer: Rethinking Transformer Scaling with Tokenized Model Parameters 19:10

5d ago19:10

19:10

Tokenformer introduces a scalable architecture that enhances Transformers' efficiency by using token-parameter attention, allowing for incremental scaling without retraining, thus reducing computational costs significantly. https://arxiv.org/abs//2410.23168 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers A…

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[QA] $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources 7:22

5d ago7:22

7:22

This paper challenges the assumption that academic researchers can't pre-train models, providing benchmarks and insights on optimizing GPU resources for efficient model training. https://arxiv.org/abs//2410.23261 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/…

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$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources 16:51

5d ago16:51

16:51

This paper challenges the assumption that academic researchers can't pre-train models, providing benchmarks and insights on optimizing GPU resources for efficient model training. https://arxiv.org/abs//2410.23261 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/…

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Unemployment Rising as FED Panics with Clive Thompson 33:51

5d ago33:51

33:51

Interview recorded - 22nd of October, 2024 On this episode of the WTFinance podcast I had the pleasure of welcoming back Clive Thompson. Clive has years of experience in the wealth management industry & a unique insight into central banks. During our conversation we spoke about the current state of the economy, FED weakening, decreasing interest ra…

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Storms, Strikes and Startups 1:02:25

6d ago1:02:25

1:02:25

Dante joins the podcast to discuss the October employment report. The impact of recent strikes and hurricanes weighed on the headline jobs figure, but everyone agrees that underlying job growth remains strong. Cris and Mark debate the reasons why productivity growth in the U.S. has outpaced the rest of the world, but Dante remains skeptical that re…

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Beyond Borders: Navigating Data Legislation w/ JB Benjamin 27:22

1d ago27:22

27:22

JB Benjamin, CEO and Founder of Akuma Engineering LTD, joins us on this podcast episode of Data Unchained to discuss moving data in it's international capacity. We talk about who really owns your social media data, what you have to think about when moving data on an international scale, and how you can keep your data secure. #cybersecurity #podcast…

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[QA] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective 7:59

6d ago7:59

7:59

This study analyzes layer-wise gradients in LLMs, revealing that slow thinking enhances learning stability and response correctness, while fast thinking shows larger gradient variations. https://arxiv.org/abs//2410.23743 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple…

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What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective 15:27

6d ago15:27

15:27

This study analyzes layer-wise gradients in LLMs, revealing that slow thinking enhances learning stability and response correctness, while fast thinking shows larger gradient variations. https://arxiv.org/abs//2410.23743 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple…

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[QA] Tokenformer: Rethinking Transformer Scaling with Tokenized Model Parameters 7:28

7d ago7:28

7:28

Tokenformer introduces a scalable architecture that enhances Transformers' efficiency by treating model parameters as tokens, allowing for flexible scaling without retraining, significantly reducing computational costs. https://arxiv.org/abs//2410.23168 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple…

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Tokenformer: Rethinking Transformer Scaling with Tokenized Model Parameters 19:38

7d ago19:38

19:38

Tokenformer introduces a scalable architecture that enhances Transformers' efficiency by treating model parameters as tokens, allowing for flexible scaling without retraining, significantly reducing computational costs. https://arxiv.org/abs//2410.23168 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple…

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Demystifying the impact of migrants on public finances and labor markets 17:36

7d ago17:36

17:36

Despite the common perception of migrants as a drain on resources, OECD data reveals that migrants contribute positively to public finances in most advanced economies. In a recent Future is Blue interview, Ana Damas de Matos, OECD senior policy analyst, explained how migrants support aging populations, add to the labor market, and contribute more i…

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#383: Jeff Garzik, CEO of Bloq and Hemi Network, on Working with Satoshi, The Early Days of Bitcoin, and Present Day Bitcoin (PART ONE) 46:59

5d ago46:59

46:59

Jeff Garzik is the co-founder and CEO of Bloq and leader of the Hemi Network project. He has long been at the center of developing and commercializing open-source software related to Bitcoin and blockchain technology. Previously, he spent five years as a Bitcoin core developer and ten years at Red Hat. In this conversation, we discuss: - Network st…

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Active attention for longer: Out of home study goes global as MRC moves on attention metrics, signalling programmatic surge, challenger brand boost 30:31

7d ago30:31

30:31

A decade after launching viewability metrics, the Media Ratings Council is moving to standardise attention metrics globally. That means buying media based on attention metrics will scale faster. But a world first out of home study into attention by QMS and Amplified Intelligence is already going global – and the findings for brands are huge. In sho…

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Artificial Economy to Collapse with Gerald Celente 41:37

8d ago41:37

41:37

Interview recorded - 23rd of October, 2024 On this episode of the WTFinance podcast I had the pleasure of welcoming back Gerald Celente. Gerald is the Founder/Director of the Trends Research Institute and Publisher of the Trends Journal with a 40-year track record of identifying, tracking and forecasting trends During our conversation we spoke abou…

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[QA] Where Do Large Learning Rates Lead Us? 8:30

8d ago8:30

8:30

This study investigates optimal initial learning rates for neural networks, finding a narrow range enhances generalization by locating high-quality minima and focusing on relevant features, unlike extreme rates. https://arxiv.org/abs//2410.22113 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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Where Do Large Learning Rates Lead Us? 28:43

8d ago28:43

28:43

This study investigates optimal initial learning rates for neural networks, finding a narrow range enhances generalization by locating high-quality minima and focusing on relevant features, unlike extreme rates. https://arxiv.org/abs//2410.22113 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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[QA] Fourier Head: Helping Large Language Models Learn Complex Probability Distributions 7:10

8d ago7:10

7:10

The paper introduces a Fourier series-based neural network layer to improve continuous token modeling in decision-making and time series tasks, enhancing performance in various benchmarks. https://arxiv.org/abs//2410.22269 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…

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Fourier Head: Helping Large Language Models Learn Complex Probability Distributions 13:56

8d ago13:56

13:56

The paper introduces a Fourier series-based neural network layer to improve continuous token modeling in decision-making and time series tasks, enhancing performance in various benchmarks. https://arxiv.org/abs//2410.22269 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…

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Women in mining—practical realities vs narratives, ft WIM Canada vice-chair Jennifer Cameron 1:04:48

9d ago1:04:48

1:04:48

This week's episode features Women in Mining Vice-Chair Jennifer Cameron in conversation with host Adrian Pocobelli, discussing gender equity in the mining industry. Cameron sheds light on how certain narratives often overshadow the real, practical challenges women face in the field—particularly around mining equipment and safety. She also emphasiz…

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[QA] LoRA vs Full Fine-tuning: An Illusion of Equivalence 7:47

10d ago7:47

7:47

This study analyzes the differences between full fine-tuning and LoRA in large language models, revealing distinct weight matrix structures and generalization behaviors despite similar performance on tasks. https://arxiv.org/abs//2410.21228 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…

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LoRA vs Full Fine-tuning: An Illusion of Equivalence 13:44

10d ago13:44

13:44

This study analyzes the differences between full fine-tuning and LoRA in large language models, revealing distinct weight matrix structures and generalization behaviors despite similar performance on tasks. https://arxiv.org/abs//2410.21228 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…

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#382: Sunny Aggarwal, Co-Founder of Osmosis, on The Cosmos Ecosystem, Bitcoin Based DeFi, and The Future of Decentralized Exchanges 37:15

10d ago37:15

37:15

Sunny Aggarwal is the Co-Founder of Osmosis, the premier DEX and DeFi hub for the Cosmos ecosystem and beyond. To date, the Osmosis DEX has facilitated over $35 Billion in trading volume, and more than 100 separate blockchains have connected to the Osmosis blockchain. At Tendermint, Sunny served as a Core Developer of the Cosmos SDK and contributed…

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EP 235 – Pivoting Under Pressure Could Be the Secret to Startup Success – Tetiana George – Curium 32:43

11d ago32:43

32:43

In this episode of the Asia InsurTech Podcast, we dive deep into the entrepreneurial journey of Tetiana George, co-founder and CEO of Curium. Tetiana opens up about the challenges of fundraising and why she chose to walk away from investors who offered terms she found restrictive. Instead of being held back by “handcuffs” that limited her vision, T…

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[QA] Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? 6:57

11d ago6:57

6:57

Vision-Language Models show promise in reasoning across text and images but struggle with basic visual concepts, revealing significant gaps in their understanding and generalization abilities. https://arxiv.org/abs//2410.19546 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…

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Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? 8:44

11d ago8:44

8:44

Vision-Language Models show promise in reasoning across text and images but struggle with basic visual concepts, revealing significant gaps in their understanding and generalization abilities. https://arxiv.org/abs//2410.19546 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…

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[QA] Computational Bottlenecks of Training Small-scale Large Language Models 8:10

11d ago8:10

8:10

This study investigates the training behavior and computational requirements of Small-scale Large Language Models (SLMs), focusing on hyperparameters and configurations to enhance efficiency and support low-resource AI research. https://arxiv.org/abs//2410.19456 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pap…

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Computational Bottlenecks of Training Small-scale Large Language Models 9:57

11d ago9:57

9:57

This study investigates the training behavior and computational requirements of Small-scale Large Language Models (SLMs), focusing on hyperparameters and configurations to enhance efficiency and support low-resource AI research. https://arxiv.org/abs//2410.19456 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pap…

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[QA] Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees 9:12

13d ago9:12

9:12

This paper introduces a hybrid approach combining physics-informed neural networks and cylindrical approximation to efficiently solve functional differential equations, addressing computational challenges and improving numerical analysis. https://arxiv.org/abs//2410.18153 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/…

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Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees 19:53

13d ago19:53

19:53

This paper introduces a hybrid approach combining physics-informed neural networks and cylindrical approximation to efficiently solve functional differential equations, addressing computational challenges and improving numerical analysis. https://arxiv.org/abs//2410.18153 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/…

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[QA] A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration 8:04

13d ago8:04

8:04

This paper shows that integrating coherent reasoning in Few-shot Chain-of-Thought prompting enhances transformer performance, revealing sensitivity to errors in intermediate steps and proposing improvements using varied reasoning paths. https://arxiv.org/abs//2410.16540 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@a…

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A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration 18:20

13d ago18:20

18:20

This paper shows that integrating coherent reasoning in Few-shot Chain-of-Thought prompting enhances transformer performance, revealing sensitivity to errors in intermediate steps and proposing improvements using varied reasoning paths. https://arxiv.org/abs//2410.16540 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@a…

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Holtz-Eakin on Tariffs, Immigration and Debt 1:13:44

13d ago1:13:44

1:13:44

Douglas Holtz-Eakin, President of the American Action Forum and former Director of the Congressional Budget Office, joins Mark and Cris to discuss vexillology, potential election outcomes, and the impact of proposed immigration and tariff policies on the economy. After a quick statistics game, Doug shared his insights on the national debt and how t…

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The Ukraine War Could Have Been Prevented with Michael von der Schulenberg 41:56

13d ago41:56

41:56

Interview recorded - 18th of October, 2024 On this episode of the WTFinance podcast I had the pleasure of welcoming Michael von der Schulenberg. Michael has had a very interesting life, working for the United Nations and OSCE, including as UN assistant Secretary-General, in many of the world’s trouble spots, such as in Haiti, Afghanistan, Pakistan,…

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