AI displacing jobs is a red herring, how we self-organize is the more fundamental trend

• stanford_alpaca

  108 28,761 2.0 Python

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  

but back to the point: what does a highly exposed, self-regulating software ecosystem mean on its own terms? why are Alpaca & Langchain so significant in this context? the answer is how catalyzed dogfooding becomes over a matter of months. the cost of finetuning a small, "run on your Raspberry Pi" LLM on any subdivision of knowledge (especially codebases) just dropped to retail levels. the next cost that drops is discovery of high-level SOPs with low-level daisy-chaining of these diverse models. and given the preexisting, battletested examples of n-tiered application architecture on blockchains, the marginal cost of smart policy development, testing, and auditing also drops as well over the next few years. that's the market for arbitrary executive function of any group of market participants. with respect to ML frameworks like sparsely-gated MoE, world models, multimodality, and adaptive agents: we won't see how the shoe drops if the costs haven't met the critical threshold, but it should be clear that we can assume they will and guess as to when they drop to that threshold. and I haven't even described the potential impact of Learning@Home in that respect.

• Default

  2 198 10.0 Solidity

  Protocol Development & Upgradability Framework (by fullyallocated)

but back to the point: what does a highly exposed, self-regulating software ecosystem mean on its own terms? why are Alpaca & Langchain so significant in this context? the answer is how catalyzed dogfooding becomes over a matter of months. the cost of finetuning a small, "run on your Raspberry Pi" LLM on any subdivision of knowledge (especially codebases) just dropped to retail levels. the next cost that drops is discovery of high-level SOPs with low-level daisy-chaining of these diverse models. and given the preexisting, battletested examples of n-tiered application architecture on blockchains, the marginal cost of smart policy development, testing, and auditing also drops as well over the next few years. that's the market for arbitrary executive function of any group of market participants. with respect to ML frameworks like sparsely-gated MoE, world models, multimodality, and adaptive agents: we won't see how the shoe drops if the costs haven't met the critical threshold, but it should be clear that we can assume they will and guess as to when they drop to that threshold. and I haven't even described the potential impact of Learning@Home in that respect.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• LibreOffice

  584 2,423 10.0

  Read-only LibreOffice core repo - no pull request (use gerrit instead https://gerrit.libreoffice.org/) - don't download zip, use https://dev-www.libreoffice.org/bundles/ instead (by LibreOffice)

  

I think that LibreOffice & Collabora will stack nicely on Open Assistant. for every software that interfaces via natural language with the user, there is probably an opensource LLM and an open repo that acts as its client.

• Open-Assistant

  329 36,622 9.1 Python

  OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

  

I think that LibreOffice & Collabora will stack nicely on Open Assistant. for every software that interfaces via natural language with the user, there is probably an opensource LLM and an open repo that acts as its client.

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