Ep24 - 5.2, gdpeval and arc smash, joint embedding models deep dive
Dec 13, 20251h 29m0
Good to be back! Show notes to follow
Hosted by Cameron Rohn and Tom Spencer · 🇺🇸 US · EN · 21 episodes
Established thought leaders with verified media credentials.
Weekly deep dives on the most interesting dev, ai and product releases, research updates and emerging trends in the AI engineering, agent development and software industry.
Cameron Rohn and Tom Spencer hosts The Build - Ai dev and product show., a technology show with 21 episodes published.
Good to be back! Show notes to follow
In this conversation, Tom Spencer and Cameron Rohn explore various themes surrounding AI, including nostalgic references to early AI tools, the evolution of product management with AI, and the innovative capabilities of
AI Summit and CAT-MIP Initiative Cameron spoke at an AI summit hosted by N-able, a company formerly part of SolarWinds. His talk focused on the infrastructure gaps that Managed Services Providers (MSPs) face when handlin
Takeaways1- Tom discusses his recent trip to Texas and the importance of brisket.2 - Cameron shares his experience with the DGX and running DeepSeek OCR.3 - Tom highlights the funding announcement for LangChain and its i
Key Points Why “computer use” agents matter for real form-filling and CRUD tasks Live look at Gemini 2.5 Computer Use, Browserbase/Playwright, and WebVoyager-style tasks Operator vs Claude/Gemini computer use: accuracy,
09:51 Exploring Claude's Capabilities and User Experience19:28 Real-Time Code Generation: Claude Imagine Demo41:02 The Evolution of User Interfaces for AI Agents48:29 Challenges in Research and Data Analysis with AI58:22
In this episode, Tom Spencer and Cameron Rohn discuss various updates in the tech world, including the challenges of AI podcasting, the implications of H1B visa changes, and the competitive landscape of AI models from Al
00:00 Introduction and Personal Updates 04:33 Transformative Use of ChatGPT in Family Projects 07:20 Discussion on AI Economic Index Reports 17:46 The Rise of ChatGPT: Analyzing Growth Metrics 22:03 Exploring User Intera
Chapters 00:00 Welcome Back and Project Updates 03:30 Insights from the All-In Summit 06:21 Claude's Performance Issues and Alternatives 09:38 Exploring New Tools and Interfaces 12:38 Innovations in AI and Image Generati
Lots of demos, deep discussions and ai injections. Check the vault for the show notes, links and more at buildaipod.com Chapters00:00 Introduction and Personal Updates00:46 Diving Deeper into GPT-5 Features and User Reac
We recorded August 7th, right before ChatGPT launched. We dove into GPT open source, OpenCode, Ollama Turbo, and deep agent setups. I wanted to see LangChain’s open suite and test agent environments. OpenCode stood out f
Part one of two, for this week's show. Updates , links and notes coming soon. Check out buildaipod.com and the Vault for all the details.
In this episode, we dive into the latest AI news, covering new open-source models like Qwen3 Coder and OpenAI's new agent. We discuss a major AI breakthrough at the Math Olympiad, where models achieved gold medal scores,
Tom and Cam explore recent AI advancements, with particular focus on the Kimi model, its capabilities, and developer implications. They address SaaS industry challenges, including rising customer acquisition costs and th
We chat through Grok 4 and Vending Bench, Chrome with Nano, Comet from Perplexity, A2A and the ADK kit and more from the AI, Agent engineering world. Chapters 00:00 Introduction 00:34 Grok 4, Vending Bench 06:25 Vending
In this episode of The Build, Tom Spencer and Cameron Rohn break down some of the biggest developments in AI infrastructure, medical reasoning, and agent deployment. 🏥 Highlights: • Microsoft’s Agentic Medical AI paper
Explore the future of AI agent architectures with Tom Spencer and Cameron Rohn. This deep-dive covers the power of multi-agent systems, from swarm intelligence to advanced agent collaboration, and how to build them using
Links from the show NAICS Analysis - A16Z - https://a16z.com/vsaas-vertical-saas-ai-opens-new-markets/ Codes - https://www.census.gov/naics/ https://github.com/BenDoyle/NAICS/blob/master/naics.csv ONet - Tasks - http://o
Cameron Rohn and Tom Spencer explore the latest in AI—from voice assistants and generative tools to no-code platforms and agentic systems. They unpack challenges in AI memory, Claude 4 and the growing role of AI in creat
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
The Build - Ai dev and product show. has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their technology audience.
The Build - Ai dev and product show. is hosted by Cameron Rohn and Tom Spencer. The show is categorised under technology and has published 21 episodes.
The Build - Ai dev and product show. has published 21 episodes.
The Build - Ai dev and product show. regularly covers technology. It sits in the technology category.
The Build - Ai dev and product show. is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
The Build - Ai dev and product show. hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of The Build - Ai dev and product show. average 101 minutes, giving guests a long-form format with plenty of time to expand on their expertise.
Our data rates The Build - Ai dev and product show.'s guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 9 days ago.