Best Human Perception Ai Podcasts (2024)

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E111 - Federico Faggin, Top Physicist:“Science & Spirituality Merge in this New Theory of Consciousness” 2:04:38

1h ago2:04:38

2:04:38

Today we are joined by top physicist and inventor of the microprocessor & touch screen, Federico Faggin, for an intriguing conversation into the nature of reality. Federico once had a materialistic scientific perspective on consciousness and reality until one day a spontaneous spiritual awakening changed his perspective forever. In this episode he …

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1011 WHY AI COMPANIONS? MAYBE HUMANS SUCK. 7:55

6h ago7:55

7:55

In this episode, Chris dives into the controversial and thought-provoking topic of AI companions—AI boyfriends, girlfriends, and friends—discussing the growing trend and public reactions surrounding them. He questions why AI companions are often seen as a terrible thing, drawing parallels to past phenomena, such as people forming emotional bonds wi…

1
[QA] Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler 8:25

1h ago8:25

8:25

This paper explores the correlation between learning rate, batch size, and training tokens, proposing a new Power scheduler that optimizes performance across various model sizes and architectures. https://arxiv.org/abs//2408.13359 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podc…

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Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler 13:02

1h ago13:02

13:02

This paper explores the correlation between learning rate, batch size, and training tokens, proposing a new Power scheduler that optimizes performance across various model sizes and architectures. https://arxiv.org/abs//2408.13359 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podc…

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[QA] A Law of Next-Token Prediction in Large Language Models 7:40

1h ago7:40

7:40

This paper presents a quantitative law governing contextualized token embeddings in LLMs, revealing equal contributions from all layers to prediction accuracy, enhancing understanding and guiding LLM development practices. https://arxiv.org/abs//2408.13442 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Ap…

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A Law of Next-Token Prediction in Large Language Models 6:45

1h ago6:45

6:45

This paper presents a quantitative law governing contextualized token embeddings in LLMs, revealing equal contributions from all layers to prediction accuracy, enhancing understanding and guiding LLM development practices. https://arxiv.org/abs//2408.13442 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Ap…

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Episode 18 | Why You Shouldn’t Be Obsessed with CSAT 22:28

10h ago22:28

22:28

Michael Fulvio, Director of Customer Experience at SNIPES, advises against the usual focus on Customer Satisfaction (CSAT) as a KPI. He stresses using diverse data points like incident rates, first reply times, and fulfillment metrics to address customer issues, improve operations, and drive revenue, thus enhancing the customer experience. By broad…

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Synthetic customers meet synthetic CMOs (and CFOs): Evidenza clones Sharp, Ritson, Binet & Field to build annual marketing plans in minutes; Mars, EY sign-up 47:24

1d ago47:24

47:24

The effectiveness “revolution” is colliding with the AI-spawned efficiency uprising and it’s leaping the early consensus AI use cases in marketing around automating personalised content and communications. So much so Mark Ritson choked on his Wellfleet oysters when Jon Lombardo and Peter Weinberg told him they were leaving top jobs at the LinkedIn-…

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[QA] SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection 8:29

19m ago8:29

8:29

This paper presents a framework using a small language model for initial hallucination detection, followed by a large language model for detailed explanations, optimizing real-time interpretable detection. https://arxiv.org/abs//2408.12748 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: htt…

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SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection 9:51

20m ago9:51

9:51

This paper presents a framework using a small language model for initial hallucination detection, followed by a large language model for detailed explanations, optimizing real-time interpretable detection. https://arxiv.org/abs//2408.12748 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: htt…

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[QA] How Diffusion Models Learn to Factorize and Compose 8:14

18m ago8:14

8:14

This study explores how diffusion models learn compositional representations through controlled experiments, revealing their ability to encode features but limited interpolation over unseen values, enhancing training efficiency. https://arxiv.org/abs//2408.13256 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pap…

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How Diffusion Models Learn to Factorize and Compose 20:36

18m ago20:36

20:36

This study explores how diffusion models learn compositional representations through controlled experiments, revealing their ability to encode features but limited interpolation over unseen values, enhancing training efficiency. https://arxiv.org/abs//2408.13256 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pap…

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[QA] FERRET: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique 7:48

24m ago7:48

7:48

FERRET enhances adversarial prompt generation for large language models, improving attack success rates and efficiency over RAINBOW TEAMING while ensuring effective prompts across various model sizes. https://arxiv.org/abs//2408.10701 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://…

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FERRET: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique 17:44

25m ago17:44

17:44

FERRET enhances adversarial prompt generation for large language models, improving attack success rates and efficiency over RAINBOW TEAMING while ensuring effective prompts across various model sizes. https://arxiv.org/abs//2408.10701 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://…

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[QA] Scalable Autoregressive Image Generation with Mamba 7:11

29m ago7:11

7:11

AiM is an autoregressive image generative model using Mamba architecture, achieving superior quality and speed in image generation while maintaining efficient long-sequence modeling capabilities. https://arxiv.org/abs//2408.12245 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podca…

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Scalable Autoregressive Image Generation with Mamba 17:27

30m ago17:27

17:27

AiM is an autoregressive image generative model using Mamba architecture, achieving superior quality and speed in image generation while maintaining efficient long-sequence modeling capabilities. https://arxiv.org/abs//2408.12245 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podca…

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[QA] TableBench: A Comprehensive and Complex Benchmark for Table Question Answering 7:55

2d ago7:55

7:55

The paper investigates LLMs' challenges with real-world tabular data, proposing the TableBench benchmark and TABLELLM model, highlighting significant gaps between academic performance and industrial application. https://arxiv.org/abs//2408.09174 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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TableBench: A Comprehensive and Complex Benchmark for Table Question Answering 21:59

2d ago21:59

21:59

The paper investigates LLMs' challenges with real-world tabular data, proposing the TableBench benchmark and TABLELLM model, highlighting significant gaps between academic performance and industrial application. https://arxiv.org/abs//2408.09174 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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[QA] FocusLLM: Scaling LLM's Context by Parallel Decoding 7:35

1h ago7:35

7:35

FocusLLM enhances decoder-only LLMs by efficiently processing long contexts, improving performance on long-context tasks while reducing training costs and maintaining strong language modeling capabilities. https://arxiv.org/abs//2408.11745 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: htt…

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FocusLLM: Scaling LLM's Context by Parallel Decoding 20:55

1h ago20:55

20:55

FocusLLM enhances decoder-only LLMs by efficiently processing long contexts, improving performance on long-context tasks while reducing training costs and maintaining strong language modeling capabilities. https://arxiv.org/abs//2408.11745 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: htt…

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[QA] Sapiens: Foundation for Human Vision Models 7:49

21m ago7:49

7:49

Sapiens is a versatile model family for human-centric vision tasks, achieving state-of-the-art performance through self-supervised pretraining and scalable design, excelling in pose estimation, segmentation, depth, and normal prediction. https://arxiv.org/abs//2408.12569 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@…

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Sapiens: Foundation for Human Vision Models 22:52

21m ago22:52

22:52

Sapiens is a versatile model family for human-centric vision tasks, achieving state-of-the-art performance through self-supervised pretraining and scalable design, excelling in pose estimation, segmentation, depth, and normal prediction. https://arxiv.org/abs//2408.12569 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@…

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[QA] Show-o: One Single Transformer to Unify Multimodal Understanding and Generation 7:25

36m ago7:25

7:25

Show-o is a unified transformer model that integrates multimodal understanding and generation, outperforming existing models in various vision-language tasks while supporting diverse input-output modalities. https://arxiv.org/abs//2408.12528 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: h…

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Show-o: One Single Transformer to Unify Multimodal Understanding and Generation 28:14

37m ago28:14

28:14

Show-o is a unified transformer model that integrates multimodal understanding and generation, outperforming existing models in various vision-language tasks while supporting diverse input-output modalities. https://arxiv.org/abs//2408.12528 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: h…

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[QA] Jamba-1.5: Hybrid Transformer-Mamba Models at Scale 7:22

3h ago7:22

7:22

Jamba-1.5 introduces instruction-tuned large language models with high throughput, low memory usage, and extensive context length, outperforming competitors while being publicly available under an open model license. https://arxiv.org/abs//2408.12570 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Po…

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Jamba-1.5: Hybrid Transformer-Mamba Models at Scale 16:53

3h ago16:53

16:53

Jamba-1.5 introduces instruction-tuned large language models with high throughput, low memory usage, and extensive context length, outperforming competitors while being publicly available under an open model license. https://arxiv.org/abs//2408.12570 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Po…

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[QA] Hermes 3 Technical Report 7:45

3h ago7:45

7:45

Hermes 3 is a neutrally-aligned instruct-tuned model with strong reasoning and creativity, achieving state-of-the-art performance on benchmarks, with weights available on Hugging Face. https://arxiv.org/abs//2408.11857 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.c…

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Hermes 3 Technical Report 11:21

3h ago11:21

11:21

Hermes 3 is a neutrally-aligned instruct-tuned model with strong reasoning and creativity, achieving state-of-the-art performance on benchmarks, with weights available on Hugging Face. https://arxiv.org/abs//2408.11857 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.c…

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1010 EXPLORING AI IN COMEDY: THE NEXT FRONTIER 6:34

13m ago6:34

6:34

In this episode of thinkfuture, Chris broadcasts from Greece and dives into the fascinating idea of AI-generated comedy. With AI increasingly being used in creative fields, Chris discusses why it might be surprising to some that AI could also take on comedy—a field traditionally seen as distinctly human. He explains that since AI is essentially bui…

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MMM masterclass: Bupa’s open book on business data feeding Atomic 212° a benchmark for agency-client transparency and trust 40:00

40m ago40:00

40:00

Marketing mix modelling (MMM) only works if brands grant their agencies access to critical business data – and many don’t in a perplexing and decades-long challenge. But equally, agencies can be guilty of slowing media pricing and audience data into their client MMM models, rounding out the two-way data conundrum. It’s ironic given all the talk of …

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[QA] LLM Pruning and Distillation in Practice: The Minitron Approach 7:23

18m ago7:23

7:23

https://arxiv.org/abs//2408.11796 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers --- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/supp…

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LLM Pruning and Distillation in Practice: The Minitron Approach 12:36

2d ago12:36

12:36

https://arxiv.org/abs//2408.11796 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers --- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/supp…

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[QA] Approaching Deep Learning through the Spectral Dynamics of Weights 7:26

20m ago7:26

7:26

This paper explores spectral dynamics of weights in deep learning, revealing optimization biases, enhancing weight decay effects, and distinguishing between memorizing and generalizing networks across various tasks. https://arxiv.org/abs//2408.11804 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Pod…

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Approaching Deep Learning through the Spectral Dynamics of Weights 26:45

21m ago26:45

26:45

This paper explores spectral dynamics of weights in deep learning, revealing optimization biases, enhancing weight decay effects, and distinguishing between memorizing and generalizing networks across various tasks. https://arxiv.org/abs//2408.11804 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Pod…

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EPISODE 42: Mind Science - Cyber Psychology 101 1:03:05

44m ago1:03:05

1:03:05

This Episode we’re heading back into the vaults to bring you the unabridged version of our fantastic and extremely popular interview with Bec McKeown, a chartered psychologist with extensive experience in carrying out applied research for organisations including the UK Ministry of Defence and the founder and director of Mind Science, an independent…

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[QA] Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations 8:04

2d ago8:04

8:04

The paper challenges the Linear Representation Hypothesis, showing that gated recurrent neural networks encode token sequences using magnitude rather than direction, suggesting broader interpretability in neural network research. https://arxiv.org/abs//2408.10920 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pa…

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Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations 21:03

1h ago21:03

21:03

The paper challenges the Linear Representation Hypothesis, showing that gated recurrent neural networks encode token sequences using magnitude rather than direction, suggesting broader interpretability in neural network research. https://arxiv.org/abs//2408.10920 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pa…

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[QA] Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model 7:53

1h ago7:53

7:53

Transfusion is a multi-modal training method combining language modeling and diffusion, achieving superior performance in generating images and text with models up to 7B parameters. https://arxiv.org/abs//2408.11039 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/…

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Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model 24:23

1h ago24:23

24:23

Transfusion is a multi-modal training method combining language modeling and diffusion, achieving superior performance in generating images and text with models up to 7B parameters. https://arxiv.org/abs//2408.11039 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/…

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1009 AI IN TRAVEL PLANNING 30:30

4d ago30:30

30:30

In this episode, Chris interviews Michelle, the Chief Marketing Officer of MindTrip, a new AI-powered travel platform designed to transform the travel planning experience. Michelle shares her extensive background as a startup executive and advisor, as well as insights from her upcoming book, "Grow Up: Take Your Startup to the Next Level," which foc…

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1008 SWAP FOMO FOR JOMO 6:00

21m ago6:00

6:00

In this episode of thinkfuture, Chris broadcasts from the heart of Evia, Greece, and dives into the concept of JOMO—Joy of Missing Out—as a counter to the pervasive fear of missing out (FOMO) that has gripped modern society. Surrounded by the birthplace of democracy and drama, Chris reflects on how our constant connection to devices and social medi…

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E110 - Omarion: Redefining Spiritual Growth, Betrayal, Celibacy & Becoming Unbothered 1:31:08

18m ago1:31:08

1:31:08

Grammy-nominated R&B artist Omarion opens up about the deeply personal experiences that have shaped his spiritual and creative growth. From navigating betrayal and redefining joy, to discovering the healing power of music and meditation, Omarion's story is one of unwavering resilience and self-discovery. Raised by a young single mother, Omarion sha…

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[QA] Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models 8:37

2d ago8:37

8:37

The paper presents MOHAWK, a method for distilling Transformers into state space models, achieving strong performance with significantly less training data and computational resources. https://arxiv.org/abs//2408.10189 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.c…

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Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models 31:52

1h ago31:52

31:52

The paper presents MOHAWK, a method for distilling Transformers into state space models, achieving strong performance with significantly less training data and computational resources. https://arxiv.org/abs//2408.10189 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.c…

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Episode 17 | CX Leaders: How to Help Sales Close Larger Deals? 28:34

1d ago28:34

28:34

Neelam Sandhu, Former Chief Elite Customer Officer, Chief Marketing Officer, & SVP Sustainability, shares insights on transforming sales strategies to focus on customer success. She discusses aligning sales with customer-centric approaches, the impact of technology on relationships, and key strategies for long-term engagement. Prioritizing customer…

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Sir Martin Sorrell: UM’s ex-privacy boss Arielle Garcia ‘is right’ (partly) on $700bn online data ‘garbage'; Personalisation Netflix-style the future; AI, big tech will crunch intermediaries in three years ... 40:39

8d ago40:39

40:39

Part Two: After last week's instalment with S4 Capital's founder and former WPP boss, Sir Martin Sorrell – in which he explained why the market cap of his next generation marketing services firm had plummeted from £5 billion to £300 million in the past three years – he's back for part two. We cover the consolidation of the $700 billion global digit…

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[QA] JPEG-LM: LLMs as Image Generators with Canonical Codec Representations 7:47

5d ago7:47

7:47

This paper proposes using canonical codecs for image and video generation in autoregressive models, demonstrating improved efficiency and effectiveness over traditional pixel-based and vector quantization methods. https://arxiv.org/abs//2408.08459 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podca…

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JPEG-LM: LLMs as Image Generators with Canonical Codec Representations 20:04

1d ago20:04

20:04

This paper proposes using canonical codecs for image and video generation in autoregressive models, demonstrating improved efficiency and effectiveness over traditional pixel-based and vector quantization methods. https://arxiv.org/abs//2408.08459 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podca…

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Human Perception Ai Podcasts

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