[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Kevin Bambrough [@BambroughKevin](/creator/twitter/BambroughKevin) on x 55.2K followers Created: 2025-07-25 04:27:30 UTC @GavMcCracken is this you? Gavin McCracken, with the X handle @GavMcCracken, is a real person. He is a PhD student in computer science at McGill University in Montreal, Canada, with a research focus on artificial intelligence, deep learning, and neural networks. His X account, created in January 2022, has over XXXXX followers and features regular posts on topics like stock investing, technology (especially AI), uranium mining, health, and gaming (notably Counter-Strike). He explicitly mentions his PhD work and stipend in his posts, aligning with his academic background. ### Bio and Details - **Professional and Personal Interests**: McCracken's X bio describes him as interested in "Stocks, Value, & Counter-Strike. Ahead and already in the next frontier of tech. Not financial advice." He also maintains a Substack blog focused on health writing. His posts often discuss value investing, AI advancements, nuclear energy (e.g., uranium stocks), and criticisms of certain tech hype (like graphene). He has expressed bearish views on some investments and emphasized his expertise in AI, such as how neural networks learn or the energy demands of large language models. - **Affiliations**: Beyond McGill, he is affiliated with Mila (Quebec Artificial Intelligence Institute, associated with Université de Montréal) and has collaborations involving Google DeepMind and Leiden University, as seen in his recent publications. His X activity shows him engaging with tech and finance communities, often referencing his PhD to substantiate claims (e.g., dismissing AI consciousness in LLMs or critiquing model scaling). There is no evidence of him being fictional; his online presence includes verifiable academic outputs, such as a 2025 arXiv paper on modular addition in neural networks, and consistent self-references to his studies. ### Education - **PhD in Computer Science**: McGill University (ongoing, started around 2021 based on profiles and posts). His research centers on AI, including how neural networks perform abstract algorithms and learning mechanisms. He has mentioned earning a modest stipend of about XXXXXX CAD per year, typical for Canadian PhD programs. - **Prior Education**: Details on undergraduate or earlier degrees are not explicitly listed in available sources, but his LinkedIn indicates he is a "Computer Science Student at McGill University," suggesting his education has been centered there. XXXXX engagements  **Related Topics** [investment](/topic/investment) [topics](/topic/topics) [neural](/topic/neural) [canada](/topic/canada) [$ai4](/topic/$ai4) [Post Link](https://x.com/BambroughKevin/status/1948600974924271863)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Kevin Bambrough @BambroughKevin on x 55.2K followers
Created: 2025-07-25 04:27:30 UTC
@GavMcCracken is this you?
Gavin McCracken, with the X handle @GavMcCracken, is a real person. He is a PhD student in computer science at McGill University in Montreal, Canada, with a research focus on artificial intelligence, deep learning, and neural networks.
His X account, created in January 2022, has over XXXXX followers and features regular posts on topics like stock investing, technology (especially AI), uranium mining, health, and gaming (notably Counter-Strike). He explicitly mentions his PhD work and stipend in his posts, aligning with his academic background.
His X activity shows him engaging with tech and finance communities, often referencing his PhD to substantiate claims (e.g., dismissing AI consciousness in LLMs or critiquing model scaling). There is no evidence of him being fictional; his online presence includes verifiable academic outputs, such as a 2025 arXiv paper on modular addition in neural networks, and consistent self-references to his studies.
XXXXX engagements
Related Topics investment topics neural canada $ai4
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