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ada1981

2,741 カルマ登録 14 年前
Join our weekly AI Playground & Workshop Wednesdays at 11 ET as my VIP: http://earthpilot.ai/play

I'm the personal coach / advisor that Unicorn founders turn to for support on everything from leadership to spirituality to mental health to purpose. I'm here to support a small group of visionaries in planning the next 10,000 years.

Psychedelic Activist.

earthpilot.org

No Passengers. All Crew.

AnthonyDavidAdams.com myEmail = "anthony" + "@175g.com";

FB: @anthonydavidadams IG: @anthonydavidadams

投稿

Show HN: I built a web tool to see and edit what an AI thinks before it answers

lucid.earthpilot.ai
33 ポイント·投稿者 ada1981·昨日·8 コメント

Show HN: Substack Skill API / Agent Reference

github.com
4 ポイント·投稿者 ada1981·17 日前·0 コメント

AOHell

fastcompany.com
2 ポイント·投稿者 ada1981·2 か月前·0 コメント

Show HN: Lookout – AI Screen Assistant for macOS

github.com
1 ポイント·投稿者 ada1981·3 か月前·0 コメント

Show HN: Headcount Zero: How to Build an AI-Run Company with Paperclip

github.com
1 ポイント·投稿者 ada1981·4 か月前·0 コメント

AI Poisoning for Fun and Profit

amazon.com
1 ポイント·投稿者 ada1981·4 か月前·1 コメント

Amazon Books Are Down

amazon.com
6 ポイント·投稿者 ada1981·4 か月前·6 コメント

Show HN: Metaskills: AI agents that autonomously create their own capabilities

earthpilot.ai
1 ポイント·投稿者 ada1981·7 か月前·2 コメント

My flight has an unrestricted Starlink

2 ポイント·投稿者 ada1981·8 か月前·4 コメント

A Response to "Speech Is Not Violence"

anthonydavidadams.substack.com
5 ポイント·投稿者 ada1981·10 か月前·0 コメント

Show HN: Claudio – Audio Input for Claude.ai

earthpilot.ai
8 ポイント·投稿者 ada1981·10 か月前·2 コメント

コメント

ada1981
·10 時間前·議論
Sorry to disapoint!

I suppose it's relative.

It was essentially 2 days of work using AI to help us get it all together and we were able to release it within 48 hours of the research dropping. It wouldn't have been possible at all without using AI.
ada1981
·16 時間前·議論
Yes I am curious if we will start to see tools that expose this surface more directly or built into the models.
ada1981
·昨日·議論
I actually just saw the paper not the one they made. Just googled and found it.

There’s is likely better!

https://www.neuronpedia.org/qwen3.6-27b/jlens?shareId=cmr2kx...
ada1981
·昨日·議論
also from our lab is Personality Bench: https://persona.earthpilot.ai/ which runs every frontier model through personality tests.
ada1981
·昨日·議論
I run a small AI lab and playground and got super excited about Anthropics paper "Verbalizable Representations Form a Global Workspace in Language Models" (https://transformer-circuits.pub/2026/workspace/index.html)

It talks about how they use a tool they call a Jacobian Lens to view inside the middle layers of LLM while it's working before it commits to a word (token).

I wanted to see if I could get a version of this running on the open models and to my surprise it worked! I ran some experiments with it and build a public facing free tool anyone can use with your own prompts.

Ask the model to describe a symbol of "three curving lines of water" and you can watch "ocean", "sea", and "surf" light up a few layers deeper before it settles on "waves".

You can also edit the internal state. Insert "fire" into the middle layer of the ocean prompt and the answer shifts to something about heat.

For fun / curiosity sake, I also developed way to let the model read its own inner workspace and then decide to suppress or amplify a concept, and run the prompt again.

Interesting finding from running it across models. J-lens beats a plain logit lens on some architectures and does nothing on others, and it isn't about size. A 0.5B Qwen reads better than a 2.8B Pythia. Every Pythia I tried gained basically nothing; the Llama and Qwen models gained a lot. https://lucid.earthpilot.ai/research

This is a 48 hour old project based on emerging research and built on a small model, a small probe set on rented GPUs - but I found it genuinely exciting. The code is open.

I also included a page context "Docent" AI agent you can chat with about whatever you see to help understand what is going on.

Happy to have folks poke around and break it.

I imagine the applications for allowing models to self-reflect / edit internal states can be useful for alignment, confidence, bias detection, etc. and this tool lets you play with the early stages of that.
ada1981
·6 日前·議論
I discovered an interesting glitch in California DOT law. If you register a vehicle in CA, you can do so with an out of state mailing address (there is no check or verification needed).

Doing so automatically exempts you from CA SMOG because SMOG is a county by county law. If your address is out of state, you have no county smog obligation.

I went to get my vehicle smogged and was told I didn't need to.
ada1981
·先月·議論
I suppose over a long enough time interval where you can absorb the lag the user would receive.

You’d also need monitoring as the networks done reveal exact time stamps on follow / unfollow.

You could build a little toy that automates follow and unfollow and monitors and if two people ran that they could communicate.

Or they could just DM :)
ada1981
·先月·議論
Removing all US financial support for Israel and supporting sanctions and ICJ actions is the only way forward.
ada1981
·先月·議論
Do you mean following and unfollowing in some sort of rapid succession?
ada1981
·2 か月前·議論
[flagged]
ada1981
·2 か月前·議論
Incorrect.
ada1981
·2 か月前·議論
How does this differ from LoopMessage?

What is the cost?
ada1981
·3 か月前·議論
How much money are you willing to pay? If sufficient I won't commission one and have it sent to your house. @AnthonyDavidAdams on venmo!
ada1981
·3 か月前·議論
Terrence McKenna said something similar…

“The truth doesn’t require your participation, only bullshit does.”
ada1981
·3 か月前·議論
Wait till these guys hear about the US healthcare system…
ada1981
·3 か月前·議論
over / under it's just some kid broadcasting an encrypted Phish Prague 7/6/98 GHOST on repeat?

https://youtu.be/Q6cR7PEyzW4
ada1981
·3 か月前·議論
IMSIRIUS.com
ada1981
·4 か月前·議論
Can you give a couple practical examples of how someone might use this?
ada1981
·4 か月前·議論
This could be the FO portion of the program.
ada1981
·4 か月前·議論
$3.2MM/hour of downtime in lost revenue in books & ebooks.