Sam Witteveen

Subscribers 122K

Videos 335

Views 10.2M

Channels Like Sam Witteveen

Sam Witteveen covers deep learning, LLMs, multimodal and AI-related topics through tutorials, reviews, and explainers, with emphasis on autonomous agents, prompt engineering, and open/source AI models. Content appears as longer-form explorations and how-to videos, with a steady upload cadence (~1.4 uploads per week) and an average of ~19.2K views per video.

AI summary

Similar Channels

We found 45 YouTube channels similar to Sam Witteveen

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube

89% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 74

SERP 100%

Similarity 81%

large language models foundation models autonomous agents

They share high search overlap on queries like large language models and foundation models, aligning with Sam Witteveen’s focus on AI infrastructure, though IBM’s content emphasizes enterprise scale and foundation models more than Sam’s likely practitioner-oriented videos.

AI summary

#2

AI Engineer view on YouTube

53% relevance

Subscribers 375K

Videos 613

Views 12.3M

Appearances 14

SERP 12%

Similarity 81%

multimodal agents ai inference optimization low latency ai

Both target AI systems optimization and practical deployment topics such as multimodal agents and low-latency AI, but AI Engineer’s content is more focused on engineering pitfalls and optimization techniques, while Sam focuses on broader AI trends.

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#3

AI Search view on YouTube

52% relevance

Subscribers 643K

Videos 427

Views 54.7M

Appearances 5

SERP 3%

Similarity 86%

open source ai models open source LLMs speech to text models

They rank for open source AI models and open source LLMs, which overlap with Sam’s audience, yet AI Search concentrates more on open-source tooling and model comparisons than Sam’s likely content style.

AI summary

Google Cloud Tech YouTube channel thumbnail

#4

Google Cloud Tech view on YouTube

52% relevance

Subscribers 1.4M

Videos 2K

Views 53.4M

Appearances 10

SERP 11%

Similarity 79%

large language models multimodal agents ai inference optimization

There is substantial overlap on queries about large language models and AI inference optimization, but Google Cloud Tech’s content centers on cloud deployment and enterprise services, contrasting with Sam’s possibly more independent or hands-on approach.

AI summary

#5

Daytona

51% relevance

Subscribers 1.6K

Videos 119

Views 97.4K

Appearances 1

SERP 2%

Similarity 83%

low latency ai

Both cover low latency AI, attracting a similar audience, though Daytona’s content tends to be shorter-form or project-focused while Sam’s videos may be more explanatory or tutorial-driven.

AI summary

Caleb Writes Code YouTube channel thumbnail

#6

Caleb Writes Code view on YouTube

51% relevance

Subscribers 63K

Videos 76

Views 3.4M

Appearances 3

SERP 3%

Similarity 83%

foundation models ai inference optimization transformer models

They share interest in foundation models and transformer models, as well as AI inference optimization, but Caleb’s channel often leans into code tutorials and implementation details whereas Sam may emphasize broader AI concepts.

AI summary

Content Landscape

Top competitors by match strength are IBM Technology (89% match) and AI Engineer (53% match). IBM Technology overlaps on large language models, foundation models, and autonomous agents; AI Engineer overlaps on multimodal agents, AI inference optimization, and low latency AI. Google Cloud Tech (52% match) also shares similar queries like large language models and multimodal agents. Sam Witteveen has 122K subscribers, while IBM Technology and Google Cloud Tech have around 1.6M and 1.4M subscribers respectively, illustrating a breadth gap but strong thematic overlap. Competitors converge on searches for open source AI models, open source LLMs, and speech-to-text models, indicating common ground in AI deployment and model optimization.

AI summary

Video Highlights

Didn't Make the Cut

39 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	50%	Jeff Su	77%	1.6M	8%	6
#8	50%	Better Stack	80%	121K	3%	4
#9	49%	Hugging Face	80%	129K	3%	2
#10	49%	Tina Huang	75%	1.1M	10%	7
#11	49%	3Blue1Brown	70%	8.2M	17%	14
#12	49%	New Machina	79%	11.2K	5%	2
#13	49%	lustoykov	79%	4.3K	4%	1
#14	48%	codebasics	78%	1.5M	3%	6
#15	48%	Microsoft Developer	78%	670K	4%	3
#16	48%	AssemblyAI	78%	180K	4%	3
#17	48%	Yannic Kilcher	78%	320K	4%	4
#18	48%	Zen van Riel	78%	29K	3%	3
#19	48%	LangChain	77%	182K	4%	3
#20	48%	NVIDIA Developer	78%	202K	2%	4
#21	47%	Bug Labs	77%	6.2K	2%	1
#22	47%	Apple Developer	72%	267K	10%	15
#23	47%	Coding with Lewis	77%	735K	2%	1
#24	47%	Acadaimy	75%	13.9K	5%	2
#25	46%	Matt Williams	73%	94.5K	7%	4
#26	46%	Stanford Online	71%	1.1M	10%	12
#27	46%	NextGen AI Explorer	75%	1.0K	4%	3
#28	46%	Samuel Albanie	75%	22K	3%	1
#29	46%	Efficient NLP	72%	19.9K	7%	8
#30	46%	Bernard Marr	74%	2.0M	4%	1
#31	46%	freeCodeCamp.org	73%	11.5M	5%	7
#32	46%	Tech With Tim	74%	2.0M	3%	3
#33	45%	Fireship	73%	4.1M	3%	3
#34	45%	AGI Lambda	73%	12.9K	3%	2
#35	44%	The AI Hacker	72%	60.8K	2%	1
#36	44%	Core Electronics	72%	227K	2%	1
#37	44%	Stanford HAI	72%	33.6K	2%	2
#38	44%	Computerphile	71%	2.6M	3%	1
#39	44%	DeepLearningAI	71%	664K	2%	2
#40	43%	Education Nest	70%	229K	3%	1
#41	42%	ByteByteGo	69%	1.4M	3%	4
#42	42%	Salesforce Trailhead Solutions	68%	2.3K	4%	1
#43	42%	Linus Tech Tips	69%	16.8M	3%	2
#44	41%	Neil Rhodes	66%	4.9K	3%	2
#45	40%	Online Tech Tips	65%	33K	3%	1

Search Queries Used

large language models foundation models autonomous agents multimodal agents local AI deployment ai on consumer hardware ai model optimization open source ai models ai inference optimization low latency ai ai hardware acceleration speech recognition ai vision models ai agent design transformer models large language model basics foundation model themes autonomous agent design multimodal agent workflows edge AI deployment on-device inference tips model compression techniques open source LLMs inference optimization strategies low latency transformers hardware acceleration tips speech to text models image and video understanding vision transformer basics agent planning techniques policy alignment methods evaluation benchmarks data efficiency practices transfer learning for LLMs multitask learning strategies

Frequently Asked Questions

Which YouTube channels are most similar to Sam Witteveen?

IBM Technology — 89% match, 1.6M subscribers; AI Engineer — 53% match, 375K subscribers; AI Search — 52% match, 643K subscribers. All three are AI/ML focused channels with similar target audiences interested in AI, machine learning, and related technologies.

What type of content does Sam Witteveen make?

Sam Witteveen creates content about AI, deep learning, and multimodal agents, with video titles like Nemotron 3 Ultra NVIDIA's 550B Open Model, Cosmos 3 - NVIDIA's World Foundation Model, Running Local AI on AMD, OpenShell Agents, and MiniCPM-V 4.6: The Tiny Vision Model Your Agents Need. He uploads about 1.4 videos per week, and the channel averages about 19.2K views per video.

How do we determine which channels are similar to Sam Witteveen?

We analyze Sam Witteveen'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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