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for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/8daf7111-8eff-4e9e-9288-28ba76f96036/signal.json","required":true},{"label":"source","url":"https://www.baseten.co/blog/glm-52-with-vision/","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/baseten/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/baseten/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Baseten's writing signal \"Glm 52 With Vision\" for neocloud strategy."},"semantic_triples":[{"subject":"Baseten","predicate":"published","object":"Glm 52 With Vision","text":"Baseten published Glm 52 With Vision."},{"subject":"Glm 52 With Vision","predicate":"is classified as","object":"writing signal","text":"Glm 52 With Vision is classified as writing signal."},{"subject":"Glm 52 With Vision","predicate":"belongs to","object":"talking desk","text":"Glm 52 With Vision belongs to talking desk."},{"subject":"Glm 52 With Vision","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Glm 52 With Vision has evidence coverage 1 captured evidence page."},{"subject":"Glm 52 With Vision","predicate":"has captured page count","object":"1","text":"Glm 52 With Vision has captured page count 1."},{"subject":"Glm 52 With Vision","predicate":"has readable page count","object":"1","text":"Glm 52 With Vision has readable page count 1."},{"subject":"Glm 52 With Vision","predicate":"has related signal count","object":"6","text":"Glm 52 With Vision has related signal count 6."},{"subject":"Glm 52 With Vision","predicate":"has analysis playbook objective","object":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","text":"Glm 52 With Vision has analysis playbook objective Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.."},{"subject":"Glm 52 With Vision","predicate":"has source host","object":"baseten.co","text":"Glm 52 With Vision has source host baseten.co."},{"subject":"Glm 52 With Vision","predicate":"has lab","object":"Baseten","text":"Glm 52 With Vision has lab Baseten."},{"subject":"Glm 52 With Vision","predicate":"has signal desk","object":"talking","text":"Glm 52 With Vision has signal desk talking."},{"subject":"Glm 52 With Vision","predicate":"has source host","object":"baseten.co","text":"Glm 52 With Vision has source host baseten.co."},{"subject":"Glm 52 With Vision","predicate":"has watch term","object":"RL environments","text":"Glm 52 With Vision has watch term RL environments."},{"subject":"Glm 52 With Vision","predicate":"has watch term","object":"Eval methodology","text":"Glm 52 With Vision has watch term Eval methodology."},{"subject":"Glm 52 With Vision","predicate":"has watch term","object":"Data pipeline","text":"Glm 52 With Vision has watch term Data pipeline."},{"subject":"Glm 52 With Vision","predicate":"has watch term","object":"Infrastructure","text":"Glm 52 With Vision has watch term Infrastructure."},{"subject":"Glm 52 With Vision","predicate":"has watch term","object":"Safety and alignment","text":"Glm 52 With Vision has watch term Safety and alignment."}]},"intelligence":{"signal_desk":"talking","answer":"Baseten published Glm 52 With Vision. 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Learn more AI models GLM 5.2 With Vision Is it possible to post-train vision onto GLM 5.2 without having any impact on its raw text-only capabilities? Authors Harry Partridge Last updated July 16, 2026 Share TL;DR GLM 5.2 is one of the best currently available open source language models. However, unlike other flagship models like Qwen, Kimi and Minimax, GLM 5.2 does not support image inputs. We took this as a challenge: would it be possible to post-train vision onto GLM 5.2 without having any impact on its raw text-only capabilities? It turns out that the answer to this question is yes. Amazingly, by training only a tiny 2 layer MLP with just 50M parameters, we are able to give GLM 5.2 vision capabilities equivalent to Claude 4.5 Haiku on MMMU-Pro (55%). Along the way, we witnessed an incredible level of generalization: GLM is even able to identify people who were never mentioned in our dataset! How Do Language Models See? Open source language models like Qwen, Kimi and Minimax process images using a module called a vision tower . 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