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šŸ  Neurons, Networks, and New Knowings

Mechanistic Interpretability, You've Been Solved

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šŸ  AI

Anthropicā€™s Breakthrough

Anthropic was founded as a responsible AI startup. Basically, they want to create cool AI products, but what they really want is to make sure AI is aligned with humanityā€™s best interests.

Weā€™ve seen this mission manifest before with Constitutional AI, and now weā€™re seeing it again with mechanistic interpretability.

In English, we understand the math behind neural networks (AI models), but we donā€™t understand why the math makes neural networks do the things we see. This makes it difficult to both advance onwards and certify that a model is safe. After all, how do you diagnose something you donā€™t even truly understand?

If this sounds similar to the problem neuroscientists face with understanding how neurons affect human behavior, well, thatā€™s because itā€™s the same problem. Except, thankfully, AI researchers can run experiments much easier. And thatā€™s exactly what Anthropic did.

Through these tests, they found that individual neurons do not come with individual roles. For example, the same neuron can play a part in academic citations, English dialogue, and Korean text. Thatā€™s a problem, but Anthropic found a clever fix. Instead of examining individual neurons, they built machinery that bunches up similar neurons into units called features.

The result is that we now have the ability to understand exactly why a model is behaving the way it is, and, perhaps more importantly, the ability to change the modelā€™s behavior.

Does this mean that an aligned superintelligence is now guaranteed? Not quite.

But does it mean that we took a large step forward in the quest for responsible AI? Definitely.

The Big Picture: A safe and controllable AI seems to be rapidly approaching.

Mobile apps = iPhone. AI apps = Wispr

Wispr is building a wearable brain-computer interface that lets you communicate at the speed of thought. This is the next leap in personal computing ā€“ a consumer hardware platform for AI-first applications.

While AI has evolved with LLMs, we still interact with them with interfaces from the 90s - primitive textboxes and chat interfaces. To redesign input interfaces, Wispr has raised close to 15M from NEA and 8VC in addition to Stanford AI professors like Chris Manning & Richard Socherā€™s fund AIX ventures.

A big revolution is coming. And itā€™s going to be spearheaded by innovation throughout the stack.

Wispr is recognized as one of the top 100 AI companies by CBInsights ā€“ top 4 in the ā€œAI assistants & HMIsā€ category, along with Anthropic, Inflection, and Adept AI.

If youā€™re building LLMs or AI-first apps, you need to have a hardware partner. You can learn more about Wispr here or reach out directly to [email protected]

šŸ¤ THE LATEST INā€¦

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šŸƒā€ā™€ļø QUICKIES

Raise: Osmoses raised a $11M seed round to bring its molecular-scale membranes to the hydrogen market.

Stat: $3-4.5B: How much FTXā€™s stake in Anthropic could now be worth, which is enough to make the exchange whole. The SBF hail mary succeeds!

Rabbit hole: Making Hard Things Easy (Julia Evans)

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