<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>FlowForest (Posts about AI-progress)</title><link>https://flowforest.eu/</link><description></description><atom:link href="https://flowforest.eu/categories/ai-progress.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><copyright>Contents by &lt;a href="mailto:rauni.lillemets@gmail.com"&gt;FlowForest&lt;/a&gt; </copyright><lastBuildDate>Fri, 21 Aug 2026 22:48:40 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Where is AI heading - part 1/3</title><link>https://flowforest.eu/posts/where-is-ai-heading-part1/</link><dc:creator>FlowForest</dc:creator><description>&lt;div&gt;&lt;embed&gt;
  &lt;p class="show_if_not_teaser" style="display:none;"&gt;&lt;em&gt;This is the first part of a 3-post series. See end of this post for a peek
  into the topics we will be covering later.&lt;/em&gt;&lt;/p&gt;
  &lt;p class="show_if_not_teaser" style="display:none;"&gt;&lt;strong&gt;Note&lt;/strong&gt;. &lt;em&gt;Most of the models we are discussing in this post are
  LLMs (Large Language Models). We will say 'LLM' when speaking about
  them specifically, and 'AI models' when we are talking more broadly and including other (current or future) architectures as well.
  If you are not familiar with the term 'LLM', don't worry - there will soon be a follow-up post where we explain what LLMs are.
  For now, just think of well-known examples of families of LLMs, like Chat-GPT, Claude, DeepSeek, Gemini, etc.&lt;/em&gt;&lt;/p&gt;
  &lt;h2 class="show_if_not_teaser" style="display:none;"&gt;Introduction&lt;/h2&gt;
&lt;/embed&gt;&lt;p&gt;Lately, AI seems to dominate the news. But how to discern truth from exaggerations? The news coverage is confusing and extremely polarized
about the AI topic.
For example, you might see videos with titles "AI will replace all jobs in next 2 years" next to a video titled "AI progress has hit a wall" or
"AI bubble is about to pop".
Of course, clickbait sells, and so do extreme titles - in either direction.&lt;/p&gt;
&lt;p&gt;And even from a perspective of an expert the progress can look very jagged - periods of rapid improvement alternate with periods of
relative stagnation. In order to get a clearer view, one must zoom out and look at the progress trends over a longer timeframe.
This is exactly what was done by &lt;a class="reference external" href="https://metr.org/"&gt;METR&lt;/a&gt; (a non-profit research institute in California).&lt;/p&gt;
&lt;p&gt;&lt;a href="https://flowforest.eu/posts/where-is-ai-heading-part1/"&gt;Read more…&lt;/a&gt; (13 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>AI</category><category>AI-progress</category><guid>https://flowforest.eu/posts/where-is-ai-heading-part1/</guid><pubDate>Thu, 06 Aug 2026 05:22:32 GMT</pubDate></item></channel></rss>