Yannic Kilcher

Subscribers 320K

Videos 485

Views 18.0M

Channels Like Yannic Kilcher

Yannic Kilcher covers machine learning research papers, programming, and AI community issues, with a focus on explanations and tutorials across topics like transformers, neural networks, diffusion models, and NLP. Content includes deep-dives and paper explainers, with a style that blends tutorials and in-depth reviews, and uploads frequently (as of the data, about ~0 uploads per week noted but includes a substantial back catalog). The channel has about 320K subscribers and averages roughly 406.2K views per video.

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Similar Channels

We found 48 YouTube channels similar to Yannic Kilcher

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube

88% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 36

SERP 100%

Similarity 79%

machine learning research transformer models neural networks explained

Both target a technical audience with a strong emphasis on machine learning concepts (queries like machine learning research and transformer models) and high content similarity in explaining neural networks, aligning with Yannic's deep-dive ML explanations despite IBM's broader tech focus.

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#2

3Blue1Brown view on YouTube

65% relevance

Subscribers 8.2M

Videos 229

Views 727.0M

Appearances 15

SERP 52%

Similarity 74%

transformer models neural networks explained language models overview

Share audience interest in neural networks and transformer models and provide overviews of language models, with similar analytical explainer style, though 3Blue1Brown emphasizes visual intuition which slightly diversifies content.

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#3

CodeEmporium

59% relevance

Subscribers 155K

Videos 368

Views 9.3M

Appearances 11

SERP 35%

Similarity 76%

vision transformers diffusion models overview few-shot learning

Appeals to viewers curious about vision transformers, diffusion models, and few-shot learning—areas adjacent to Yannic's ML explanations—indicating overlapping search queries despite different emphasis on visual/educational style.

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#4

Deepia

55% relevance

Subscribers 41.6K

Videos 9

Views 903.5K

Appearances 5

SERP 17%

Similarity 80%

AI papers explained diffusion models overview diffusion model basics

Targets the same AI-papers-explained and diffusion-model topics as Yannic, scoring high content overlap in diffusion basics, while its smaller scale implies a more niche, paper-focused delivery.

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#5

AssemblyAI

53% relevance

Subscribers 180K

Videos 412

Views 16.5M

Appearances 7

SERP 15%

Similarity 79%

diffusion models overview multimodal models transformer architectures explained

Catches audiences for diffusion models, multimodal models, and transformer architectures explanations, mirroring Yannic's technical ML topics and resulting in aligned search interest with slightly different format.

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Alexander Amini YouTube channel thumbnail

#6

Alexander Amini view on YouTube

53% relevance

Subscribers 343K

Videos 91

Views 15.6M

Appearances 5

SERP 11%

Similarity 81%

sequence modeling ai sequence modeling basics generative models comparison

Shares a focus on sequence modeling and generative models, and provides comparative discussions, aligning with Yannic on core ML theory despite differing in channel specialization and audience tone.

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Content Landscape

Discovered competitors include IBM Technology (88% match) and 3Blue1Brown (65% match) as the closest rivals. IBM Technology overlaps on machine learning research, transformer models, and neural networks explained, while 3Blue1Brown overlaps on transformer models, neural networks explained, and language models overview. CodeEmporium (59% match) and Deepia (55% match) also compete on overlapping topics like diffusion models and AI papers explained, with AssemblyAI (53% match) sharing diffusion models overview and multimodal models. Yannic Kilcher has 320K subscribers, which is smaller than IBM Technology’s 1.6M and 3Blue1Brown’s 8.2M, indicating a subscriber gap despite similar topic coverage. The shared queries include machine learning research, transformer models, neural networks explained, and diffusion models overview, tying these channels to the same informational niche.

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Video Highlights

Didn't Make the Cut

42 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	53%	AGI Lambda	79%	12.9K	14%	3
#8	53%	Shusen Wang	81%	11.9K	10%	3
#9	52%	freeCodeCamp.org	75%	11.5M	18%	11
#10	52%	Hugging Face	82%	129K	7%	2
#11	52%	Gaurav Sen	82%	722K	7%	1
#12	52%	Stanford Online	78%	1.1M	12%	11
#13	52%	Gonkee	81%	136K	8%	2
#14	51%	Google Cloud Tech	74%	1.4M	16%	5
#15	51%	Shaw Talebi	78%	91.2K	11%	7
#16	51%	Neural Breakdown with AVB	81%	32.8K	6%	2
#17	51%	Caleb Writes Code	80%	63K	7%	3
#18	51%	Google DeepMind	80%	887K	7%	4
#19	51%	Eye on Tech	78%	128K	10%	2
#20	51%	Infinite Codes	75%	128K	13%	2
#21	50%	DeepFindr	77%	45.3K	10%	3
#22	50%	codebasics	77%	1.5M	10%	6
#23	50%	MIT OpenCourseWare	79%	6.2M	7%	5
#24	50%	Prof. Ghassemi Lectures and Tutorials	79%	28.7K	6%	3
#25	50%	Ari Seff	78%	28.7K	7%	2
#26	49%	Moveworks	70%	3.8K	18%	4
#27	49%	Samuel Arzt	78%	51.8K	6%	3
#28	49%	DeepLearningAI	77%	664K	6%	3
#29	49%	Stanford MedAI	77%	9.9K	6%	1
#30	48%	StatQuest with Josh Starmer	68%	1.6M	20%	10
#31	48%	Anthropic	73%	448K	12%	4
#32	48%	Center for AI Safety	75%	3K	7%	1
#33	48%	Marina Wyss - AI & Machine Learning	75%	128K	7%	3
#34	47%	TED	74%	27.2M	8%	3
#35	47%	Graphics in 5 Minutes	70%	32.3K	13%	2
#36	47%	Computing For All	75%	8.7K	6%	1
#37	47%	Y Combinator	74%	2.2M	6%	3
#38	46%	Matthew Tancik	72%	1.5K	7%	1
#39	46%	Agility	73%	65.9K	6%	1
#40	46%	Sebastian Raschka	73%	91K	6%	4
#41	46%	Simplilearn	70%	6.1M	9%	6
#42	44%	Vizuara	70%	212K	6%	3
#43	44%	Explore The Knowledge	67%	10.4K	11%	2
#44	44%	Digital Genius	69%	130K	6%	3
#45	43%	CrashCourse	64%	16.9M	11%	5
#46	43%	TEDx Talks	67%	44.2M	6%	3
#47	41%	TutorialsPoint	64%	3.7M	6%	1
#48	40%	Science Buddies	62%	429K	6%	3

Search Queries Used

machine learning research transformer models neural networks explained AI papers explained language models overview vision transformers protein folding ai neural radiance fields diffusion models overview AI safety ethics AI alignment research multimodal models few-shot learning sequence modeling ai reinforcement learning basics machine learning fundamentals neural network basics transformer architectures explained diffusion model basics vision transformers overview multimodal learning concepts ai safety fundamentals ai ethics implications reinforcement learning beginner few shot learning explained sequence modeling basics neural network optimization model compression techniques transfer learning insights causal inference in ml ai alignment overview neural nets visual explanations probabilistic modeling ml robotic perception ai generative models comparison

Frequently Asked Questions

Which YouTube channels are most similar to Yannic Kilcher?

IBM Technology — 88% match, 1.6M subscribers; 3Blue1Brown — 65% match, 8.2M subscribers; CodeEmporium — 59% match, 155K subscribers. All three channels produce technical, educational content focused on computer science and AI topics, similar to Yannic Kilcher's emphasis on machine learning, AI, and research papers.

What type of content does Yannic Kilcher make?

Yannic Kilcher creates educational videos about machine learning, deep learning, and AI research, including topics like transformers, GPT-3, and arXiv papers, with recent videos such as 'AI made this music video', 'GPT-4chan: This is the worst AI ever', and 'Did Google's LaMDA chatbot just become sentient?'. The channel averages around 406.2K views per video, with an upload frequency described as ~? uploads per week.

How do we determine which channels are similar to Yannic Kilcher?

We analyze Yannic Kilcher's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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