Budapest | Claude Meetup for Everyone

Join a Claude Community Event, organized by local enthusiasts ​Join us for the next Claude Community Budapest Meetup. Whether you’re already integrating Claude Code, Cowork into your daily workflow, curious about agentic coding, or simply looking to connect with others exploring AI-powered development, this event is for you. Who Should Attend? This meetup is open to everyone, regardless of experience level—just be curious: - Founders & Operators: Learn how to scale efficiently and move faster. - Business Professionals: Discover how to delegate repetitive tasks to AI agents. - Engineers & PMs: See firsthand how Claude can significantly reduce development cycles. - The AI-Curious: Transition from theory to practice with hands-on insights rather than just another lecture. Agenda - 05:30 PM: Doors open. Registration, Networking & Drinks - 06:00 PM: Welcome Remarks 18:10 - Botos Csabi - Senior Research Scientist at Google DeepMind Bio: The thread tying my work together is teaching, which I think is the overlooked problem in theory of mind: you cannot teach a mind without first modelling how it thinks. So I study how frontier reasoning models form, test, and revise hypotheses, and how their internal representations line up with human cognition, using controlled behavioural and neural experiments. I then ask how that understanding lets machines teach humans, by tracking what a learner knows and choosing the tasks that move them forward, and lets artificial agents teach and coordinate with one another. [DEMO] I am passionate about communicating ML research to a wide audience and I have made TensorFlow.js visualizations: Domain Partitioning via Adversarial Training, Real-Time Online Continual Learning, Interactive Contrastive Learning. I have been awarded the Encode Fellowship funded by the UK Government and managed by Pillar VC to work on Adaptive Curricula for Human Learning with Christopher Summerfield and Rui Ponte Costa. In addition, I hold a Junior Research Fellowship at Wolfson College, University of Oxford. Previously, I defended my DPhil thesis in Engineering Science at University of Oxford, supervised by Prof. Philip Torr and Dr. Adel Bibi and examined by Prof. Ferenc Huszár and Dr. Oiwi Parker Jones. My thesis focuses on compute efficient distribution drift detection and test time adaptation across vision and language tasks. During my undergraduate studies, I interned at the Institute of Experimental Medicine under the supervision of Dr. Gábor Nyiri, at Verizon Smart Communities under the supervision of Dr. András Horváth. During my DPhil, I was a research intern at the Intel Embodied AI Lab. 18:50 - Technical break 19:00 - TBA Important Information - Registration: Claude Code Community reserves the right to approve or reject any registration. Please ensure your information is accurate, as incomplete or fake profiles will be declined. - Capacity: To ensure everyone's safety, we reserve the right to deny entry at the door if the venue reaches its maximum capacity. Thank you and feel free to contact me, my DMs are always open! - tamas