<p>In the world of artificial intelligence (AI), a new tool has emerged that could radically change the theorem proving process - Lean Copilot. This tool represents a collaboration between humans and a large language model (LLM) to create mathematical proofs.</p>
<p>Traditionally, mathematical proofs require careful verification and are often done manually. AI has not been used in this process before due to insufficient reliability, especially in tasks related to mathematics and logic. However, Lean Copilot changes this by offering an approach where the LLM helps suggest proof tactics, while a human can intervene and make adjustments.</p>
<p><strong>Main features of Lean Copilot:</strong></p>
<ul>
<li>LLM suggests proof steps, assists in finding proofs, and selects useful lemmas from an extensive mathematical library.</li>
<li>Lean Copilot easily integrates into the VS Code development environment using Lean.</li>
<li>You can use built-in models from LeanDojo or apply your own, which work both locally (using GPU or not) and in the cloud.</li>
</ul>
<p>Lean Copilot, distributed under the MIT license, makes LLMs more accessible to Lean users, which is expected to lead to the creation of better data for improving LLMs in the field of mathematics.</p>
<p>Github: <a href="https://github.com/lean-dojo/LeanCopilot">https://github.com/lean-dojo/LeanCopilot</a><br />
Demo: <a href="https://leandojo.org">https://leandojo.org</a></p>;
<p>P.S. Interestingly, Sam Altman discussed in one of his recent <a href="https://podcasts.apple.com/us/podcast/sam-altman/id1710609544?i=1000637793241">podcasts</a>; what AGI is, noting that everyone defines it differently, etc. For himself, he defines the emergence of AGI as the moment when AI can create some new proof in science.</p>
<p>#ai #llm #math #copilot #science #agi #sam_altman</p>
<p>МР.</p>