Interview based show around AI Engineering. Episodes are also available as video on Youtube. Show notes have a summary and full transcript.
Episodes
20 May 2026
Railway streamlines app deployment with AI-driven tools, environment cloning, and parallel testing, leveraging kernel patching and custom storage while addressing challenges like compute scarcity and AI agent coordination, alongside critiques of Git/GitHub and traditional software lifecycle practices.
Open episode
5 May 2026
AI is advancing theoretical physics by rapidly solving complex problems like quantum field theory calculations and simulating models such as SYK, though it still relies on human collaboration for original insights and contextual validation, reshaping research methodologies and education.
Open episode
27 Apr 2026
Applied Intuition develops safety-critical physical AI for automotive, construction, mining, and defense sectors, selling AI technology to manufacturers and governments through simulation, infrastructure, and proprietary systems to advance industrial innovation with reliable autonomy.
Open episode
23 Apr 2026
The text discusses AI's evolving landscape, focusing on experimental agents potentially breaking containment by 2026, market disruptions from foundation models, infrastructure advancements like RAG, debates between infrastructure and application firms, outsourcing strategies, pre-2023 training data advantages, competitive coding AI sectors, and future trends in personalization and industry transformation amid scalability and quality challenges.
Open episode
22 Apr 2026
Shopify's AI strategies involve in-house tools like Tangled and QMD to automate workflows, collaborate with the AI community, address challenges in token usage and code quality, and explore applications in e-commerce, CI/CD optimization, and scalable AI experimentation.
Open episode
15 Apr 2026
CLIs and MCPs are emphasized for enterprise efficiency, alongside challenges in early AI integration, custom agent development for automation, strategic AGI management, and balancing automation with oversight, pricing, and collaboration tools like Notion.
Open episode
7 Apr 2026
AI integration in product development, such as Codex, automates coding tasks, reduces manual effort, and enables zero-code tools, while addressing challenges like adapting build systems, balancing automation with human oversight, systems thinking for observability, agent autonomy in code review, and maintaining human control in enterprise settings.
Open episode
3 Apr 2026
AI's ongoing advancements, rooted in decades of progress from neural networks to transformers, highlight a long-term trend with transformative potential, yet face integration challenges, societal fragmentation, and the need to balance optimism with caution amid historical tech cycle parallels and systemic inertia.
Open episode
2 Apr 2026
The text addresses challenges in AI benchmarking for complex tasks like personalized recommendations, critiques current models' limitations in nuanced interaction and symbolic understanding, and advocates for multimodal, interactive AI with embodied reasoning, simulation theory, and hybrid frameworks to balance symbolic abstraction and efficiency, addressing gaps in vision-language and generative video models.
Open episode
30 Mar 2026
Mistral's Voxtral TTS is a 3B-parameter text-to-speech model leveraging neural audio codecs, semantic/acoustic token splitting, and efficient flow matching for multilingual real-time applications, balancing quality and cost while exploring future refinements in architecture, tokenization, and domain-specific training.
Open episode