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š Neurons, Networks, and New Knowings
Mechanistic Interpretability, You've Been Solved
Gm. Last Friday I asked for some NY Tech Week events, and now I have one to share with you all. Homescreen is co-hosting a party on Wednesday, October 18th. If youāre looking to mingle with some tech compatriots, RSVP here.
ā Stephen Flanders
BROUGHT TO YOU BY:
š AI
Anthropicās 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 humanityās best interests.
Weāve seen this mission manifest before with Constitutional AI, and now weāre seeing it again with mechanistic interpretability.
In English, we understand the math behind neural networks (AI models), but we donāt 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 donāt even truly understand?
If this sounds similar to the problem neuroscientists face with understanding how neurons affect human behavior, well, thatās because itās the same problem. Except, thankfully, AI researchers can run experiments much easier. And thatās 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. Thatās 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 modelās 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 Socherās fund AIX ventures.
A big revolution is coming. And itās 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 āAI assistants & HMIsā category, along with Anthropic, Inflection, and Adept AI.
If youāre 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]
š¤ THE LATEST INā¦
TECH
Apple is working to make the next Vision Pro more comfortable.
But Meta is still planning to beat them through affordability.
Nvidia is becoming a major player in robotics.
X is testing new paid membership tiers to make up for the lack of ad revenue.
AI
Microsoft is working on its own AI chips.
As is OpenAI.
OpenAI is also planning to release its Python SDK.
AI might be able to solve computer scienceās greatest unsolved problem.
SCIENCE
The cure for advanced rabies is near.
Scientists have discovered the highest energy gamma-rays ever from a pulsar.
We can turn on or off any brain region without surgery thanks to ultrasound neuromodulation.
Google open-sourced a wearable keyboard hat.
CRYPTO
Bored Ape creators Yuga Labs are laying people off.
Coinbase is shifting its focus abroad.
MoonPay now supports crypto swaps.
Taiwan crypto laws are getting closer.
šāāļø QUICKIES
Raise: Osmoses raised a $11M seed round to bring its molecular-scale membranes to the hydrogen market.
Stat: $3-4.5B: How much FTXās 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)
š§ POLL
I actually am in the minority here and think Googleās going to win this case, but weāll see:
Letās stay on the monopoly theme this week:
Will Amazon lose its monopoly case? |
š ļø FOUNDERS CORNER
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š DOPAMINE HIT
Tobey Maguire sighting!
@evahfourevah Sorry #fitcheck
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