Discussion

• @israelson.org Benjamin Israelson on bluesky

  Seems obvious but it needs to be said [embedded post]

• @michaelcaley Michael Caley on bluesky

  this is a good blog asking the right questions about AI / LLMs / machine learning  —  it's not, does the model have human consciousness (whatever that is) but rather what actually is the process by which the model produces its output?  —  www.darioamodei.com/post/the- urg...

• @darioamodei Dario Amodei on x

  The Urgency of Interpretability: Why it's crucial that we understand how AI models work https://www.darioamodei.com/ ...

• @nickcammarata Nick on x

  I think interp is prob the most important technical problem in the world right now (ever?), and I think alignment is downstream of it. it's also just quite fun, like zoology and cartography, it's aesthetically beautiful to me to study these mechanical creatures. highly rec it

• @jam3scampbell James Campbell on x

  as i've been saying, one of the ways anthropic could leapfrog their competitors and win is they crack interpretability and hand-design super-reasoners that are far more efficient than what you'd get from messy black-box gradient descent just like going from alchemy to chemistry, …

• @pdhsu Patrick Hsu on x

  Cool to see our Evo 2 paper cited in @DarioAmodei's new essay, “The Urgency of Interpretability”. Excited about interpretability to understand and search the code of life [image]

• @myra_deng Myra Deng on x

  AI interpretability is one of the most important problems of our time!! A well written explanation of the existential issues and risks that interpretability plans to solve, and a peek into the promise and excitement felt by many in the field right now

• @clementdelangue Clem on x

  Best way to push interpretability: open science and open-source AI for all to learn & inspect!

• @nxthompson @nxthompson on x

  The most interesting thing in tech: a terrific new paper from @DarioAmodei on why models remain black boxes and what we can do to understand them. I'd also add that we should know what they trained on. [video]

• @davidmanheim David Manheim on x

  Interpretability is critical for safety now, but woefully inadequate for dealing with smarter- and faster-than-human systems, which we will not be able to meaningfully oversee. The race to ASI - which Anthropic is accelerating - means this isn't enough. They have no safety plan.

• @neelnanda5 Neel Nanda on x

  Mood. Great post, highly recommended! The world should be investing far more into interpretability (and other forms of safety). As scale makes many parts of AI academia increasingly irrelevant, I think interpretability remains a fantastic place for academics to contribute [image]

• r/ArtificialSentience r on reddit

  Anthropic's Latest Research Challenges Assumptions About AI Consciousness

• r/artificial r on reddit

  Anthropic's Dario Amodei on the urgency of solving the black box problem: “They will be capable of so much autonomy that it is unacceptable for humanity to be totally ignorant of how they work.”

• r/technews r on reddit

  Anthropic finds alarming ‘emerging trends’ in Claude misuse report |  Claude was used to create advanced malware and push paid political agendas on social media.

• r/technology r on reddit

  Anthropic finds alarming ‘emerging trends’ in Claude misuse report |  Claude was used to create advanced malware and push paid political agendas on social media.

• r/singularity r on reddit

  New Essay from Dario Amodei: The Urgency of Interpretability