<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AGI &amp; Frontier — The Latent Daily</title><description>Scaling, reasoning and the road to general intelligence.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/agi-frontier.xml" rel="self" type="application/rss+xml"/><item><title>Chinchilla explained: why AI models needed more data, not just more parameters</title><link>https://thelatentdaily.com/research/chinchilla-compute-optimal-training-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/research/chinchilla-compute-optimal-training-explained/</guid><description>DeepMind&apos;s 2022 Chinchilla paper found that most large language models were undertrained. The 20-tokens-per-parameter rule, its impact and why labs now go beyond it.</description><pubDate>Sun, 18 Oct 2026 05:19:00 GMT</pubDate><category>NLP &amp; LLMs</category><category>research</category><category>scaling</category><category>chinchilla</category><category>training-data</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>&quot;Sparks of AGI&quot; explained: what Microsoft claimed about GPT-4, and the critiques</title><link>https://thelatentdaily.com/research/sparks-of-agi-gpt-4-paper-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/research/sparks-of-agi-gpt-4-paper-explained/</guid><description>Microsoft researchers argued that GPT-4 showed early signs of general intelligence. What they tested, why critics objected and what it teaches about AGI claims.</description><pubDate>Sun, 18 Oct 2026 05:11:00 GMT</pubDate><category>AGI &amp; Frontier</category><category>research</category><category>agi</category><category>gpt-4</category><category>evaluation</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Levels of AGI explained: DeepMind&apos;s framework for measuring progress toward AGI</title><link>https://thelatentdaily.com/research/levels-of-agi-deepmind-framework-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/research/levels-of-agi-deepmind-framework-explained/</guid><description>Google DeepMind proposed rating AI systems by performance and generality, like levels of self-driving cars. The six levels, the principles behind them and the debate.</description><pubDate>Sun, 18 Oct 2026 05:10:00 GMT</pubDate><category>AGI &amp; Frontier</category><category>research</category><category>agi</category><category>deepmind</category><category>frameworks</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>AI trends to watch: agents, reasoning, on-device AI and regulation</title><link>https://thelatentdaily.com/articles/ai-trends-to-watch-agents-reasoning-and-beyond/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-trends-to-watch-agents-reasoning-and-beyond/</guid><description>The structural trends shaping AI — agents, reasoning models, falling costs, multimodality, on-device AI and regulation — and the signals that show which are real.</description><pubDate>Sun, 18 Oct 2026 02:42:00 GMT</pubDate><category>Predictions &amp; Trends</category><category>trends</category><category>agents</category><category>reasoning-models</category><category>regulation</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>