East Bay Tech brings founders, developers, and operators together for practical AI conversations grounded in real work.
Topics
These are early discussion starters for June 26, 2026. The list is building, and we will keep adding context before the meetup.
Statement on the US government directive to suspend access to Fable 5 and Mythos 5
- Anthropic says a US government export control directive required it to suspend Fable 5 and Mythos 5 access for all customers, while leaving access to other Anthropic models unaffected.
- The post frames the dispute around model safeguards, jailbreak risk, and whether a narrow cybersecurity concern should justify recalling a widely deployed commercial model.
- Good room question: what should a clear, fair process for pausing frontier model access look like when national security, customer reliability, and public technical evidence all collide?
Satya Nadella on tokenmaxxing and choosing the right model
- Nadella points to a practical AI cost question inside serious organizations: not every task needs the most expensive or capable frontier model.
- The useful shift is from "use more AI" to "match the model, tool, and workflow to the value of the work."
- Good room question: how should teams decide when a frontier model is worth it, and when a cheaper, faster, or narrower system is the better engineering choice?
Introducing Claude Opus 4.8
- Anthropic says Opus 4.8 improves on Opus 4.7 across coding, agentic tasks, reasoning, and practical knowledge work while keeping regular pricing the same.
- The launch is as much about workflow as model quality: Claude Code gets dynamic workflows for larger codebase-scale tasks, claude.ai gets effort controls, and Opus fast mode is cheaper than before.
- Good room question: when models get better at long-running work, tool use, and self-checking, what should teams delegate versus keep under direct human control?
Matthew Berman on X
- Matthew Berman highlights AWS CEO Matt Garman pushing back on the idea that companies can replace all junior developers with AI.
- It is a useful counterweight to the "AI replaces entry-level work" narrative because junior roles are also how teams build taste, judgment, codebase context, and future senior engineers.
- Good room question: which junior-level tasks should AI absorb, and which kinds of practice still need to stay human so teams can develop real engineering talent?
Come To
- Meet smart people in the East Bay.
- Share real use cases around practical AI.
- Explore partnerships, projects, and business opportunities.
- Connect with founders, developers, and operators across industries.
Format
- Practical, thoughtful conversations for strong local connections.
- Signal over hype.
- Not a pitch night.
- No aggressive selling or constant self-promotion.