







I feel like using LLMs to flag intent/semantics mismatches (eg do var names seem to match what you actually do) or indirect violations of API contracts or whatever as a supplement to static analysis to produce *better* code would be at least as high impact, and it's like 1% of the discourse
Apr 4, 2026 at 12:13 AM
Well-intentioned obscenity
An LLM lied about me at the office and I'm cranky about it. That interaction makes me think a lot about how LLMs are becoming normalized, though, and what we're looking at in terms of their role in human-to-human interactions in the future.
LLMs believe false statements even after explicit warnings that they're false
Fine-tuning tests show "bias... toward confidently representing the claims as true."

The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities (Version 1.0)
There's Something Fundamentally Wrong With LLMs
LLMs aren't trained on the "vast majority of speech," experts warn, a major blind spot that could have sweeping consequences.

Alignment Is Proven To Be Solvable
That LLMs understand natural language as well as they do should dramatically change our understanding of the problem.

The LLM Critics Are Right. I Use LLMs Anyway.
I almost agree with all of the LLM critics, yet I still use LLMs a lot. I know this sounds like I am delusional, but I don't think I am alone with it.

The LLM Critics Are Right. I Use LLMs Anyway.
I almost agree with all of the LLM critics, yet I still use LLMs a lot. I know this sounds like I am delusional, but I don't think I am alone with it.

chad/whichlang
What programming language do LLMs default to when you don't tell them? A small benchmark.
The /llms.txt file – llms-txt
A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time.


The two worlds of programming: why developers who make the same observations about LLMs come to opposite conclusions
Writing at the end of the world, from Hveragerði, Iceland
Sensitive data + tool use + LLMs + app-centric security model = danger. LLMs turn any text into potentially executable instructions, exploding the attack surface of traditional security models.
Simon Willison
Just blogged my hunch that the Apple intelligence Siri delay is because of security concerns around prompt injection here simonwillison.net/2025/Mar/8/delaying-personali…
I read this result as: LLMs do more bullshit citations, name-dropping without engaging.
infoDOCKET
Citing Less Critically: #LLMs Reshape the Rhetoric and Reach of #Scientific #Citation (New Research Article (preprint); via @arxiv.bsky.social) arxiv.org/abs/2609.01432 #scholcomm #citations #libraries #AI #GenAI