CartaStudio

@cartastudio.bsky.social

A better second brain. Turn your expertise into a queryable decision graph. Share it with humans and machines alike. https://cartastudio.ai/?utm_source=bluesky&utm_medium=social&utm_campaign=profile

As OpenAI recently illustrated there is a lot of value that can be obtained by improving how you guide LLMs to decide and act. We don’t need to keep training bigger and bigger models that raises all sorts of of issues. We need to understand how to make good use of what we is already there.

A post from OpenAI that says that the improvised their benchmark score from 13.3 to 38.3 by improving the harness, not the underlying model

One of the biggest challenges with knowledge graphs is ensuring that they remain relevant. This is why in CartaStudio we are constantly building tooling that will enable us to track the health of the graph and put agents to work to fix it.

Image showing the "traceability" of a Carta graph and the distribution of content.

One of the biggest challenges with knowledge graphs is ensuring that they remain relevant. This is why in CartaStudio we are constantly building tooling that will enable us to track the health of the graph and put agents to work to fix it.

Image showing the "traceability" of a Carta graph and the distribution of content.

The most interesting developments with LLMs over then next 12 months will not be around bigger and more expensive models but around how you can do more with less in as tightly controlled an environment as possible.

Great job of revising and updating my 2023 Wired article, @eryk.bsky.social ! I especially prefer the title (though I never chose a Wired article title, those come from higher powers.) But also the more detailed account of the definition drift. #AIEthics @techpolicypress.bsky.social 1/2

How the UN’s Scientific Panel Erases Human Responsibility for AI

The UN Scientific Panel's report casts artificial intelligence as a system from nowhere, writes Eryk Salvaggio. The definition will shape policy for years.

techpolicy.press

The most interesting developments with LLMs over then next 12 months will not be around bigger and more expensive models but around how you can do more with less in as tightly controlled an environment as possible.

LLMs are marketed as these all-knowing machines. But they are unable to explain *how* they get to a decision and second they cannot know how *you*, as an expert, prefers to decide given a specific context and the organizational commitments you have.

We started 12vectors.com to understand how AI is really changing the way we work. Everyone's teaching agents to act. Far fewer ask how good decisions actually get made — the hard calls an expert makes by instinct. CartaStudio.ai is built to capture that judgment.

Screenshot of CartaStudio's curate screen.

We started 12vectors.com to understand how AI is really changing the way we work. Everyone's teaching agents to act. Far fewer ask how good decisions actually get made — the hard calls an expert makes by instinct. CartaStudio.ai is built to capture that judgment.

Screenshot of CartaStudio's curate screen.