<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Talent on Step Into Dev</title><link>https://stepinto.dev/tags/talent/</link><description>Recent content in Talent on Step Into Dev</description><generator>Hugo</generator><language>en-gb</language><lastBuildDate>Wed, 17 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://stepinto.dev/tags/talent/index.xml" rel="self" type="application/rss+xml"/><item><title>Compute Isn't the Constraint</title><link>https://stepinto.dev/posts/compute-isnt-the-constraint/</link><pubDate>Wed, 17 Jun 2026 00:00:00 +0000</pubDate><guid>https://stepinto.dev/posts/compute-isnt-the-constraint/</guid><description>&lt;p&gt;After &lt;a href="https://stepinto.dev/posts/when-the-api-gets-switched-off/"&gt;When the API Gets Switched Off&lt;/a&gt; went up, Bram De Buyser, an old friend, wrote back and put his finger on a line of thought I&amp;rsquo;d neglected. The frontier-lab ambition got one paragraph and a vague nod to &amp;ldquo;a serious compute commitment&amp;rdquo;, and that nod is where the strategy is thinnest. His point, roughly:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;The Sovereign AI fund is primarily about compute access, but labs like Anthropic, OpenAI and Mistral aren&amp;rsquo;t pumping out better models just because of compute access. They&amp;rsquo;re putting in core research the others don&amp;rsquo;t have yet, and that requires research staff and experimenting, not just training or inference compute. If the UK wants to compete on the frontier, it needs to come up with the actual frontier, not just train models based on papers from 2022 that the big labs already consider obsolete.&lt;/p&gt;</description></item></channel></rss>