<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Open Source — The Latent Daily</title><description>Open models, libraries and community projects.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/open-source.xml" rel="self" type="application/rss+xml"/><item><title>Meta releases Muse Spark Open, an 816B open-weight multimodal model for coding</title><link>https://thelatentdaily.com/news/meta-muse-spark-open-weights/</link><guid isPermaLink="true">https://thelatentdaily.com/news/meta-muse-spark-open-weights/</guid><description>Meta published Muse Spark Open, a mixture-of-experts model with roughly 816B parameters, 42B active per token, multimodal input and a 1M-token context window.</description><pubDate>Sun, 18 Oct 2026 08:00:00 GMT</pubDate><category>Model Releases</category><category>meta</category><category>muse-spark-open</category><category>open-weights</category><category>multimodal</category><category>coding</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Reflection releases Beam, a 501B open-weight coding model under Apache 2.0</title><link>https://thelatentdaily.com/news/reflection-beam-open-weight-model/</link><guid isPermaLink="true">https://thelatentdaily.com/news/reflection-beam-open-weight-model/</guid><description>Reflection, a new US lab, put out Beam: a 501B mixture-of-experts model with 23B active parameters, a 1M-token context and an Apache 2.0 license.</description><pubDate>Sun, 18 Oct 2026 07:30:00 GMT</pubDate><category>Model Releases</category><category>reflection-ai</category><category>beam</category><category>open-weights</category><category>coding</category><category>agents</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>LLaVA explained: how to give a language model eyes cheaply</title><link>https://thelatentdaily.com/research/llava-visual-instruction-tuning-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/research/llava-visual-instruction-tuning-explained/</guid><description>The 2023 LLaVA paper connected a vision encoder to an open language model and trained it on AI-generated visual instructions, creating an open multimodal assistant.</description><pubDate>Sun, 18 Oct 2026 05:15:00 GMT</pubDate><category>Multimodal AI</category><category>research</category><category>llava</category><category>multimodal</category><category>open-source</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The Pile explained: the open dataset that helped democratize language models</title><link>https://thelatentdaily.com/research/the-pile-dataset-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/research/the-pile-dataset-explained/</guid><description>EleutherAI&apos;s 825 GB Pile combined 22 diverse text sources into an open training set. What it contained, why diversity mattered and the copyright questions it raised.</description><pubDate>Sun, 18 Oct 2026 05:09:00 GMT</pubDate><category>Datasets</category><category>research</category><category>datasets</category><category>training-data</category><category>eleutherai</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Open-source alternatives to popular AI tools</title><link>https://thelatentdaily.com/articles/open-source-alternatives-to-popular-ai-tools/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/open-source-alternatives-to-popular-ai-tools/</guid><description>Free and open-source options for chat, image generation, transcription, automation and coding assistance — what they are, what you need to run them, and the trade-offs.</description><pubDate>Sun, 18 Oct 2026 04:59:00 GMT</pubDate><category>Alternatives</category><category>alternatives</category><category>open-source</category><category>local-ai</category><category>self-hosted</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to run a local LLM with Ollama: installation to first chat</title><link>https://thelatentdaily.com/guides/run-local-llm-with-ollama-guide/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/run-local-llm-with-ollama-guide/</guid><description>Install Ollama, download an open model, chat in the terminal or a web interface, pick a model that fits your memory and use the local API from your own code.</description><pubDate>Sun, 18 Oct 2026 04:47:00 GMT</pubDate><category>Local &amp; On-device AI</category><category>local-ai</category><category>ollama</category><category>open-weights</category><category>privacy</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>10 open-source AI projects every developer should know</title><link>https://thelatentdaily.com/articles/open-source-ai-projects-every-developer-should-know/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/open-source-ai-projects-every-developer-should-know/</guid><description>From Hugging Face Transformers to llama.cpp, vLLM, Ollama, LangChain and ComfyUI: the open-source projects that form the backbone of today&apos;s AI development.</description><pubDate>Sun, 18 Oct 2026 04:41:00 GMT</pubDate><category>Open-source Projects of the Week</category><category>open-source</category><category>developers</category><category>tools</category><category>github</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Editorial: Open and closed AI both matter — the debate needs nuance</title><link>https://thelatentdaily.com/articles/editorial-open-and-closed-ai-both-matter/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/editorial-open-and-closed-ai-both-matter/</guid><description>Open-weight models bring transparency, competition and access; closed models offer control and safety layers. Why framing it as a binary fight serves no one.</description><pubDate>Sun, 18 Oct 2026 04:08:00 GMT</pubDate><category>Opinion &amp; Editorials</category><category>opinion</category><category>editorial</category><category>open-source</category><category>policy</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>AI communities worth joining: online and in person</title><link>https://thelatentdaily.com/articles/ai-communities-to-join/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-communities-to-join/</guid><description>Where to learn, share and collaborate on AI: Hugging Face, Kaggle, research forums, open-source collectives, Discord and Reddit communities, meetups and affinity groups.</description><pubDate>Sun, 18 Oct 2026 03:00:00 GMT</pubDate><category>Communities</category><category>communities</category><category>open-source</category><category>learning</category><category>networking</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Open vs. closed AI models: the full debate</title><link>https://thelatentdaily.com/articles/open-vs-closed-ai-models-the-full-debate/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/open-vs-closed-ai-models-the-full-debate/</guid><description>A deep dive into open-weight versus closed AI models: definitions, arguments on innovation, safety and competition, business strategies and the policy debate.</description><pubDate>Sun, 18 Oct 2026 02:49:00 GMT</pubDate><category>Deep Dive</category><category>open-source</category><category>open-weights</category><category>ai-policy</category><category>safety</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>