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  <title>Dataflow matrix machines (by Anhinga anhinga)</title>
  <link>https://dmm.dreamwidth.org/</link>
  <description>Dataflow matrix machines (by Anhinga anhinga) - Dreamwidth Studios</description>
  <lastBuildDate>Thu, 03 Aug 2023 13:20:18 GMT</lastBuildDate>
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    <title>Dataflow matrix machines (by Anhinga anhinga)</title>
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  <guid isPermaLink='true'>https://dmm.dreamwidth.org/74583.html</guid>
  <pubDate>Thu, 03 Aug 2023 13:20:18 GMT</pubDate>
  <title>Mastodon</title>
  <link>https://dmm.dreamwidth.org/74583.html</link>
  <description>I updated my Mastodon for the first time since I created it in November: &lt;a href=&quot;https://dmm.dreamwidth.org/65045.html&quot;&gt;dmm.dreamwidth.org/65045.html&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;It turns out I follow this cool account: &lt;span&gt;arXiv Highlights AI/ML &lt;a href=&quot;https://sigmoid.social/@arxiv@creative.ai&quot;&gt;sigmoid.social/@arxiv@creative.ai&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;Twitter seems to gradually becoming somewhat less effective as a source of information; I should probably read Mastodon more...&lt;br /&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;img src=&quot;https://www.dreamwidth.org/tools/commentcount?user=dmm&amp;ditemid=74583&quot; width=&quot;30&quot; height=&quot;12&quot; alt=&quot;comment count unavailable&quot; style=&quot;vertical-align: middle;&quot;/&gt; comments</description>
  <comments>https://dmm.dreamwidth.org/74583.html</comments>
  <category>conference</category>
  <category>program synthesis</category>
  <category>sparsity</category>
  <category>my talks</category>
  <category>differentiable programming</category>
  <category>compact ml models</category>
  <category>artificial intelligence</category>
  <category>twitter</category>
  <category>julia</category>
  <lj:security>public</lj:security>
  <lj:reply-count>2</lj:reply-count>
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  <guid isPermaLink='true'>https://dmm.dreamwidth.org/66461.html</guid>
  <pubDate>Tue, 20 Dec 2022 16:32:04 GMT</pubDate>
  <title>CodeGeeX, Riffusion, etc.</title>
  <link>https://dmm.dreamwidth.org/66461.html</link>
  <description>CodeGeeX seems to be a reasonably competitive free and open source alternative to GitHub Copilot. It might be a good thing to be aware of (although we do have ChatGPT these days).&lt;br /&gt;&lt;br /&gt;Riffusion is a free and open source app which generates spectrograms via stable diffusion and converts them to music.&lt;br /&gt;&lt;br /&gt;Links are in the comments.&lt;br /&gt;&lt;br /&gt;&lt;img src=&quot;https://www.dreamwidth.org/tools/commentcount?user=dmm&amp;ditemid=66461&quot; width=&quot;30&quot; height=&quot;12&quot; alt=&quot;comment count unavailable&quot; style=&quot;vertical-align: middle;&quot;/&gt; comments</description>
  <comments>https://dmm.dreamwidth.org/66461.html</comments>
  <category>computer art</category>
  <category>computer music</category>
  <category>artificial intelligence</category>
  <category>github copilot</category>
  <category>program synthesis</category>
  <category>ai art</category>
  <lj:security>public</lj:security>
  <lj:reply-count>7</lj:reply-count>
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  <guid isPermaLink='true'>https://dmm.dreamwidth.org/65388.html</guid>
  <pubDate>Sun, 04 Dec 2022 16:18:56 GMT</pubDate>
  <title>update on AI progress and AI safety</title>
  <link>https://dmm.dreamwidth.org/65388.html</link>
  <description>AI-safety-wise, the write-up, &lt;a href=&quot;https://scottaaronson.blog/?p=6823&quot; rel=&quot;bookmark&quot; title=&quot;Permanent Link: My AI Safety Lecture for UT Effective Altruism&quot;&gt;My AI Safety Lecture for UT Effective Altruism&lt;/a&gt; by Scott Aaronson is  very nice reasonably objective and theory-friendly overview of the current state of AI safety as a field of science.&lt;br /&gt;&lt;br /&gt;AI-progress-wise, ChatGPT based on roughly speaking GPT-3.5 has been released recently, with people doing tons of  interesting things with it, including meaningful writing and software  generation... This seems to be another major step-up.&lt;br /&gt;&lt;br /&gt;&lt;img src=&quot;https://www.dreamwidth.org/tools/commentcount?user=dmm&amp;ditemid=65388&quot; width=&quot;30&quot; height=&quot;12&quot; alt=&quot;comment count unavailable&quot; style=&quot;vertical-align: middle;&quot;/&gt; comments</description>
  <comments>https://dmm.dreamwidth.org/65388.html</comments>
  <category>ai safety</category>
  <category>artificial intelligence</category>
  <category>technological singularity</category>
  <category>program synthesis</category>
  <category>transformers</category>
  <lj:security>public</lj:security>
  <lj:reply-count>8</lj:reply-count>
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  <guid isPermaLink='true'>https://dmm.dreamwidth.org/62501.html</guid>
  <pubDate>Tue, 09 Aug 2022 03:13:17 GMT</pubDate>
  <title>Open source code generator (an alternative to OpenAI Codex)</title>
  <link>https://dmm.dreamwidth.org/62501.html</link>
  <description>&lt;a href=&quot;https://github.com/salesforce/CodeGen&quot;&gt;github.com/salesforce/CodeGen&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;One can also run one of these models via HuggingFace; it is based on &amp;quot;A Conversational Paradigm for Program Synthesis&amp;quot; paper, &lt;a href=&quot;https://arxiv.org/abs/2203.13474&quot;&gt;arxiv.org/abs/2203.13474&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;Someone has even created a fake GitHub Copilot based on that (useful for those who prefer VSCode): &lt;a href=&quot;https://github.com/moyix/fauxpilot&quot;&gt;github.com/moyix/fauxpilot&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;img src=&quot;https://www.dreamwidth.org/tools/commentcount?user=dmm&amp;ditemid=62501&quot; width=&quot;30&quot; height=&quot;12&quot; alt=&quot;comment count unavailable&quot; style=&quot;vertical-align: middle;&quot;/&gt; comments</description>
  <comments>https://dmm.dreamwidth.org/62501.html</comments>
  <category>artificial intelligence</category>
  <category>transformers</category>
  <category>github copilot</category>
  <category>program synthesis</category>
  <category>machine learning</category>
  <category>openai codex</category>
  <category>understanding internals of ai</category>
  <lj:security>public</lj:security>
  <lj:reply-count>6</lj:reply-count>
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<item>
  <guid isPermaLink='true'>https://dmm.dreamwidth.org/60734.html</guid>
  <pubDate>Wed, 22 Jun 2022 03:20:15 GMT</pubDate>
  <title>GitHub Copilot general availability</title>
  <link>https://dmm.dreamwidth.org/60734.html</link>
  <description>&lt;a href=&quot;https://github.blog/2022-06-21-github-copilot-is-generally-available-to-all-developers/&quot;&gt;github.blog/2022-06-21-github-copilot-is-generally-available-to-all-developers/&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&amp;quot;We&amp;rsquo;re making GitHub Copilot, an AI pair programmer that suggests code in  your editor, generally available to all developers for $10 USD/month or  $100 USD/year. It will also be free to use for verified students and  maintainers of popular open source projects.&amp;quot;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;img src=&quot;https://www.dreamwidth.org/tools/commentcount?user=dmm&amp;ditemid=60734&quot; width=&quot;30&quot; height=&quot;12&quot; alt=&quot;comment count unavailable&quot; style=&quot;vertical-align: middle;&quot;/&gt; comments</description>
  <comments>https://dmm.dreamwidth.org/60734.html</comments>
  <category>program synthesis</category>
  <category>github copilot</category>
  <category>github</category>
  <lj:security>public</lj:security>
  <lj:reply-count>8</lj:reply-count>
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<item>
  <guid isPermaLink='true'>https://dmm.dreamwidth.org/47121.html</guid>
  <pubDate>Thu, 12 Aug 2021 15:35:14 GMT</pubDate>
  <title>OpenAI Codex (next generation) - it looks like we are finally &quot;there&quot;</title>
  <link>https://dmm.dreamwidth.org/47121.html</link>
  <description>There was a live demo of the next generation of OpenAI&amp;nbsp;Codex code-generating software on August 10.&lt;br /&gt;&lt;br /&gt;My impression from it is that &amp;quot;we have finally arrived&amp;quot; - this is a programming tool which seems to be more useful than an extra entry-level software engineer on the team. This starts to address the key bottleneck of our times: our limited ability to create software.&lt;br /&gt;&lt;br /&gt;This was always my threshold: can we create an AI software which can be &amp;quot;hired instead of a junior software engineer&amp;quot;? That was the main temporal uncertainty for me: how long would it take to reach that level? It looks like this has been accomplished.&lt;br /&gt;&lt;br /&gt;We are rapidly approaching the situation when AI will actively participate in programming AI software, for better or for worse...&lt;br /&gt;&lt;br /&gt;OpenAI&amp;nbsp;Codex is now a part of OpenAI&amp;nbsp;API&amp;nbsp;(which is still a closed beta with a waitlist), and it will be possible to participate in an informal competition today from 10am Pacific time (1pm Eastern) till 1pm Pacific (4pm Eastern) and try it a bit.&lt;br /&gt;&lt;br /&gt;Links are in the comments.&lt;br /&gt;&lt;br /&gt;&lt;img src=&quot;https://www.dreamwidth.org/tools/commentcount?user=dmm&amp;ditemid=47121&quot; width=&quot;30&quot; height=&quot;12&quot; alt=&quot;comment count unavailable&quot; style=&quot;vertical-align: middle;&quot;/&gt; comments</description>
  <comments>https://dmm.dreamwidth.org/47121.html</comments>
  <category>program synthesis</category>
  <category>transformers</category>
  <category>openai codex</category>
  <lj:security>public</lj:security>
  <lj:reply-count>26</lj:reply-count>
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<item>
  <guid isPermaLink='true'>https://dmm.dreamwidth.org/44860.html</guid>
  <pubDate>Tue, 29 Jun 2021 16:23:30 GMT</pubDate>
  <title>GitHub Copilot (&quot;we are getting there&quot;)</title>
  <link>https://dmm.dreamwidth.org/44860.html</link>
  <description>&lt;a href=&quot;https://github.blog/2021-06-29-introducing-github-copilot-ai-pair-programmer/&quot;&gt;github.blog/2021-06-29-introducing-github-copilot-ai-pair-programmer/&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&amp;quot;Today, we are launching a technical preview of &lt;a href=&quot;http://copilot.github.com&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;GitHub Copilot&lt;/a&gt;,  a new AI pair programmer that helps you write better code. GitHub  Copilot draws context from the code you&amp;rsquo;re working on, suggesting whole  lines or entire functions. It helps you quickly discover alternative  ways to solve problems, write tests, and explore new APIs without having  to tediously tailor a search for answers on the internet. As you type,  it adapts to the way you write code&amp;mdash;to help you complete your work  faster. &lt;p&gt;Developed in collaboration with OpenAI, GitHub Copilot is powered by  OpenAI Codex, a new AI system created by OpenAI. OpenAI Codex has broad  knowledge of how people use code and is significantly more capable than  GPT-3 in code generation, in part, because it was trained on a data set  that includes a much larger concentration of public source code. GitHub  Copilot works with a broad set of frameworks and languages, but this  technical preview works especially well for Python, JavaScript,  TypeScript, Ruby and Go.&amp;quot;&lt;br /&gt;&lt;br /&gt;If you are using Visual Studio Code often, it might make sense to try to sign-up for the technical preview phase...&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;&lt;img src=&quot;https://www.dreamwidth.org/tools/commentcount?user=dmm&amp;ditemid=44860&quot; width=&quot;30&quot; height=&quot;12&quot; alt=&quot;comment count unavailable&quot; style=&quot;vertical-align: middle;&quot;/&gt; comments</description>
  <comments>https://dmm.dreamwidth.org/44860.html</comments>
  <category>artificial intelligence</category>
  <category>technological singularity</category>
  <category>program synthesis</category>
  <category>github copilot</category>
  <category>transformers</category>
  <category>openai codex</category>
  <lj:security>public</lj:security>
  <lj:reply-count>5</lj:reply-count>
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