I went on the Code[ish] podcast to talk about AI, LLMs, and building Heroku's Managed Inference & Agents platform:
🎧 www.heroku.com/podcasts/cod...

Here is a recording of my live demo at PyCon US 2025 on building scalable AI tool servers using the Model Context Protocol (MCP) and Heroku

www.youtube.com/watch?v=01I4...

In honor of MLK day, here's super interesting essay my partner wrote on Martin Luther King Jr: what he actually believed and accomplished (different than what is sometimes described).

docs.google.com/document/d/1...

Incredibly impressive person.

Sleeper Agents
arxiv.org/pdf/2401.05566

So many AI safety issues get worse, & harder to combat the larger and more advanced your model gets:

"The backdoor behavior is most persistent in the largest models and in models trained to produce chain-of-thought reasoning"

Anthropic's "Towards Sycophancy In Language Models" arxiv.org/pdf/2310.13548

TLDR: LLMs tend to generate sycophantic responses.
Human feedback & preference models encourage this behavior.

I also think this is just the nature of training on internet writing.... We write in social clusters:

In AI safety, we have inner misalignment (actions don't minimize the loss function) and outer misalignment (loss function is misspecified).

But I do think that inner misalignment (~learned features) tend to act as a protective mechanism to avoid outer misalignment implications.

I, er, really hope.