Welch Labs

Subscribers 860K

Videos 134

Views 71.3M

Channels Like Welch Labs

Welch Labs appears to cover artificial intelligence topics through in-depth explanations and conceptual deep-dives, as suggested by titles like 'The Misconception that Almost Stopped AI' and 'What the Books Get Wrong about AI,' along with sessions on backpropagation, transformer models, and mechanistic interpretability. The channel shows a tutorials/educational style with deep-dives into AI learning theory, neural networks, and AI safety-related topics, using long-form explorations rather than quick vlogs. Content is published regularly since 2008, with an average video view count around 471.4K, totaling 134 videos and 71.3M total views, indicating frequent uploads albeit at a measured pace (approximately 0.2 uploads per week).

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Similar Channels

We found 46 YouTube channels similar to Welch Labs

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube ▶

90% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 44

SERP 100%

Similarity 83%

artificial intelligence fundamentals neural network learning theory backpropagation explained

High search overlap on AI fundamentals and neural network topics (search 100%, 83% content) mirrors Welch Labs' focus on foundational AI concepts, indicating a similar audience and topic scope, though IBM’s content leans more corporate and research-oriented.

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#2

3Blue1Brown view on YouTube ▶

70% relevance

Subscribers 8.2M

Videos 229

Views 727.0M

Appearances 21

SERP 55%

Similarity 79%

neural network learning theory backpropagation explained transformer models basics

Strong alignment on neural network learning theory and backpropagation (queries include neural network learning theory, backpropagation explained) with high content similarity (79%), suggesting a shared audience and deep mathematical visualization style, though 3Blue1Brown emphasizes visual intuition.

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#3

Stanford Online

56% relevance

Subscribers 1.1M

Videos 2.9K

Views 77.1M

Appearances 12

SERP 21%

Similarity 79%

neural network learning theory transformer models basics deep learning intuition

Shared emphasis on neural network learning theory and transformer basics (queries: neural network learning theory, transformer models basics) with high content similarity (79%), indicating overlap in rigorous academic-style explanations, but Stanford Online targets formal courses.

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#4

Jeff Su view on YouTube ▶

53% relevance

Subscribers 1.6M

Videos 294

Views 91.5M

Appearances 4

SERP 9%

Similarity 82%

artificial intelligence fundamentals AI fundamentals overview

Overlap on artificial intelligence fundamentals (queries: artificial intelligence fundamentals) with high content focus on AI basics (82%), aligning Welch Labs’ foundational AI coverage from an individual creator perspective rather than institutional depth.

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#5

Artem Kirsanov

53% relevance

Subscribers 350K

Videos 48

Views 11.7M

Appearances 7

SERP 7%

Similarity 84%

neural network learning theory backpropagation explained backpropagation intuition

Similar focus on neural network learning theory and backpropagation (queries: neural network learning theory, backpropagation explained) with high content alignment (84%), pointing to a shared educational emphasis on core DL mechanics, though Artem’s style is more short-form explainers.

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#6

AXRP view on YouTube ▶

52% relevance

Subscribers 1.5K

Videos 70

Views 45.5K

Appearances 4

SERP 8%

Similarity 81%

mechanistic interpretability AI interpretability techniques interpretability methods

Converges on interpretability topics (mechanistic interpretability, interpretability methods) with substantial content overlap (81%), indicating a common audience interested in how models work inside, though AXRP is more specialized in interpretability.

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Content Landscape

Discovered competitors include IBM Technology (90% match) and 3Blue1Brown (70% match) as the top two by match strength. IBM Technology overlaps with Welch Labs on topics like artificial intelligence fundamentals, neural network learning theory, and backpropagation explained, while 3Blue1Brown overlaps on neural network learning theory, backpropagation explained, and transformer models basics. Stanford Online (56% match) also shares overlap with neural network learning theory and transformer models basics. All three competitors have substantially larger subscriber counts (IBM Technology ~1.6M, 3Blue1Brown ~8.2M, Stanford Online ~1.1M) compared to Welch Labs’ 860K, indicating broader reach but overlapping search queries around AI fundamentals, learning theory, backpropagation, and transformer concepts.

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Video Highlights

Didn't Make the Cut

40 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	52%	TED ▶	75%	27.2M	17%	11
#8	52%	Neel Nanda	79%	12.3K	10%	7
#9	51%	MIT OpenCourseWare ▶	81%	6.2M	5%	6
#10	50%	Emergent Garden ▶	81%	261K	4%	4
#11	50%	Anthropic	70%	448K	20%	10
#12	50%	The Berkman Klein Center for Internet & Society	80%	22.9K	4%	1
#13	50%	Obi Ogbanufe, PhD	76%	2.3K	10%	5
#14	50%	LLMs Explained - Aggregate Intellect - AI.SCIENCE	80%	23K	4%	1
#15	50%	Samuel Arzt	81%	51.8K	4%	3
#16	50%	BABL AI Inc.	79%	2.4K	6%	3
#17	49%	AI Research Roundup	78%	7.6K	7%	3
#18	49%	codebasics	77%	1.5M	7%	6
#19	49%	DeepBean	79%	12.8K	4%	1
#20	48%	freeCodeCamp.org ▶	75%	11.5M	8%	5
#21	48%	Sabine Hossenfelder ▶	78%	1.8M	4%	2
#22	48%	Jack Neel ▶	78%	3.3M	4%	2
#23	48%	Art of the Problem ▶	78%	319K	3%	3
#24	48%	deeplizard	78%	168K	3%	3
#25	48%	Google Cloud Tech	74%	1.4M	9%	3
#26	48%	A Data Odyssey	74%	10K	8%	2
#27	48%	SciShow ▶	73%	8.4M	10%	3
#28	48%	StatQuest with Josh Starmer ▶	70%	1.6M	15%	9
#29	47%	International Association for Safe & Ethical AI	75%	2.4K	5%	3
#30	47%	Simplilearn ▶	72%	6.1M	10%	8
#31	47%	DLD Conference	76%	67.2K	4%	1
#32	47%	TEDx Talks ▶	69%	44.2M	13%	8
#33	47%	CodeEmporium	75%	155K	4%	3
#34	46%	Moveworks	71%	3.8K	10%	2
#35	45%	Safeshield Training	73%	2.4K	4%	3
#36	45%	Learn with Whiteboard	73%	96.7K	3%	2
#37	45%	Okdalto	72%	9.2K	4%	2
#38	45%	CrashCourse ▶	69%	16.9M	8%	3
#39	43%	Lex Clips	63%	1.6M	12%	11
#40	43%	Steve Brunton	67%	510K	6%	2
#41	42%	Gate Smashers	68%	2.6M	4%	4
#42	42%	StrategyQuant	67%	9.9K	4%	4
#43	40%	AWS Events	64%	172K	5%	2
#44	40%	UNESCO ▶	63%	533K	5%	2
#45	39%	Hitex	63%	1.4K	3%	2
#46	39%	EuroPython Conference	63%	35.7K	4%	4

Search Queries Used

artificial intelligence fundamentals neural network learning theory backpropagation explained transformer models basics mechanistic interpretability AI safety and risks deep learning intuition AI interpretability techniques probabilistic models in AI neural network architectures AI model training dynamics AI psychology of learning symbolic vs neural AI AI governance and ethics sci show AI concepts AI fundamentals overview neural network basics backpropagation intuition transformer architecture explained interpretability methods AI safety principles learning dynamics AI probabilistic modeling AI neural network training tips symbolic versus neural debate ethics in AI design mechanistic interpretability concepts AI governance frameworks risk assessment in AI neural network visualization causal reasoning in AI optimization in deep learning model robustness testing AI alignment challenges human AI interaction

Frequently Asked Questions

Which YouTube channels are most similar to Welch Labs?

Welch Labs' biggest YouTube competitors are IBM Technology (1.6M subscribers, 90% match), 3Blue1Brown (8.2M subscribers, 70% match), and Stanford Online (1.1M subscribers, 56% match). They share a focus on advanced technology and AI topics, with channels that produce educational and analytical content related to computation, machine learning, and scientific concepts.

What type of content does Welch Labs make?

Welch Labs creates educational content about AI and related technologies, as indicated by video titles such as Inside the World's Smartest Robot Brain, Can humans make AI any better?, The most complex model we actually understand, What the Books Get Wrong about AI, and These Numbers Can Make AI Dangerous. The channel averages about 471.4K views per video and uploads about 0.2 times per week (roughly one video every five weeks).

How do we determine which channels are similar to Welch Labs?

We analyze Welch Labs'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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