{"schema_version":"onlylabs.public_signal.v1","title":"LG AI Research (EXAONE) Writing: 2025 LLM Trends: from FM to AI Agent","description":"LG AI Research (EXAONE) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/d30ec8a2-0335-4b0c-bf91-ff1f3f59d073","json_url":"https://onlylabs.fyi/signals/d30ec8a2-0335-4b0c-bf91-ff1f3f59d073/signal.json","generated_at":"2026-06-08T15:45:41.448+00:00","org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/lg-ai","dossier_json_url":"https://onlylabs.fyi/labs/lg-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/d30ec8a2-0335-4b0c-bf91-ff1f3f59d073","signal_json":"https://onlylabs.fyi/signals/d30ec8a2-0335-4b0c-bf91-ff1f3f59d073/signal.json","source":"https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2","lab_dossier":"https://onlylabs.fyi/labs/lg-ai","lab_dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/lg-ai","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"LG AI Research (EXAONE) published 2025 LLM Trends: from FM to AI Agent. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Routine analysis post, no traction · 2025 LLM Trends: from FM to AI Agent | by LG AI Research | Medium Sitemap Open in app Sign up Sign in Medium Logo Get app Write Search Sign up Sign in 2025 LLM Trends:.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2","source_host":"medium.com","occurred_at":"2025-06-16T02:26:38+00:00","first_seen_at":"2026-06-07T07:00:26.520021+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"LG AI Research (EXAONE)","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"medium.com","source":"source"},{"label":"Author","value":"LG AI Research","source":"source"},{"label":"Notability","value":"Routine analysis post, no traction","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["exa"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-08T15:45:41.448+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/d30ec8a2-0335-4b0c-bf91-ff1f3f59d073/signal.json","dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neolab","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","evidence_focus":["post title","source URL","captured page text","HN traction","linked model or paper references","publication date"],"extraction_questions":["Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which writing reframes a recent release, model, hiring wave, or policy stance?","Which posts mention data, evals, infrastructure, safety, or deployment workflows?"],"signal_questions":["What public theme, launch framing, or research direction does this writing signal expose?","Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Do the 6 related writing signals show a repeated pattern?"],"output_fields":["org","theme","public_framing","traction","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; 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/d30ec8a2-0335-4b0c-bf91-ff1f3f59d073/signal.json","required":true},{"label":"source","url":"https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/lg-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json?category=neolab","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 LG AI Research (EXAONE)'s writing signal \"2025 LLM Trends: from FM to AI Agent\" for neolab strategy."},"semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published","object":"2025 LLM Trends: from FM to AI Agent","text":"LG AI Research (EXAONE) published 2025 LLM Trends: from FM to AI Agent."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"is classified as","object":"writing signal","text":"2025 LLM Trends: from FM to AI Agent is classified as writing signal."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"belongs to","object":"talking desk","text":"2025 LLM Trends: from FM to AI Agent belongs to talking desk."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has evidence coverage","object":"1 captured evidence page","text":"2025 LLM Trends: from FM to AI Agent has evidence coverage 1 captured evidence page."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has captured page count","object":"1","text":"2025 LLM Trends: from FM to AI Agent has captured page count 1."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has readable page count","object":"1","text":"2025 LLM Trends: from FM to AI Agent has readable page count 1."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has related signal count","object":"6","text":"2025 LLM Trends: from FM to AI Agent has related signal count 6."},{"subject":"2025 LLM Trends: from FM to AI Agent","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":"2025 LLM Trends: from FM to AI Agent 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":"2025 LLM Trends: from FM to AI Agent","predicate":"has source host","object":"medium.com","text":"2025 LLM Trends: from FM to AI Agent has source host medium.com."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has lab","object":"LG AI Research (EXAONE)","text":"2025 LLM Trends: from FM to AI Agent has lab LG AI Research (EXAONE)."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has signal desk","object":"talking","text":"2025 LLM Trends: from FM to AI Agent has signal desk talking."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has source host","object":"medium.com","text":"2025 LLM Trends: from FM to AI Agent has source host medium.com."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has author","object":"LG AI Research","text":"2025 LLM Trends: from FM to AI Agent has author LG AI Research."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has notability","object":"Routine analysis post, no traction","text":"2025 LLM Trends: from FM to AI Agent has notability Routine analysis post, no traction."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has watch term","object":"Eval methodology","text":"2025 LLM Trends: from FM to AI Agent has watch term Eval methodology."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has watch term","object":"Data pipeline","text":"2025 LLM Trends: from FM to AI Agent has watch term Data pipeline."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has watch term","object":"Infrastructure","text":"2025 LLM Trends: from FM to AI Agent has watch term Infrastructure."}]},"intelligence":{"signal_desk":"talking","answer":"LG AI Research (EXAONE) published 2025 LLM Trends: from FM to AI Agent. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Routine analysis post, no traction · 2025 LLM Trends: from FM to AI Agent | by LG AI Research | Medium Sitemap Open in app Sign up Sign in Medium Logo Get app Write Search Sign up Sign in 2025 LLM Trends:.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published","object":"2025 LLM Trends: from FM to AI Agent","text":"LG AI Research (EXAONE) published 2025 LLM Trends: from FM to AI Agent."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"is classified as","object":"writing signal","text":"2025 LLM Trends: from FM to AI Agent is classified as writing signal."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"belongs to","object":"talking desk","text":"2025 LLM Trends: from FM to AI Agent belongs to talking desk."},{"subject":"2025 LLM Trends: from FM to AI Agent","predicate":"has evidence coverage","object":"1 captured evidence page","text":"2025 LLM Trends: from FM to AI Agent has evidence coverage 1 captured evidence page."}]},"signal":{"id":"d30ec8a2-0335-4b0c-bf91-ff1f3f59d073","url":"https://onlylabs.fyi/signals/d30ec8a2-0335-4b0c-bf91-ff1f3f59d073","json_url":"https://onlylabs.fyi/signals/d30ec8a2-0335-4b0c-bf91-ff1f3f59d073/signal.json","source_url":"https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2","title":"2025 LLM Trends: from FM to AI Agent","summary":"LG AI Research (EXAONE) published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-06-16T02:26:38+00:00","first_seen_at":"2026-06-07T07:00:26.520021+00:00","date_source":"rss.item_date","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["exa"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2","final_url":"https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2","title":"2025 LLM Trends: from FM to AI Agent","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:45:41.448+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"2025 LLM Trends: from FM to AI Agent | by LG AI Research | Medium Sitemap Open in app Sign up Sign in Medium Logo Get app Write Search Sign up Sign in 2025 LLM Trends: from FM to AI Agent LG AI Research 14 min read Jun 16, 2025 -- Listen Share 1. Introduction In recent years, large language models (LLMs) have experienced explosive growth. Beyond being assistants that answer simple questions for users, they now demonstrate advanced reasoning capabilities, solving Ph.D-level questions or difficult problems at the level of a math competition. With this advancement in reasoning ability, they are leveraging a variety of tools, such as searching, computer manipulation, API calls, or code execution to perform complex tasks on behalf of users, greatly improving usability. With these developments in LLM, LG AI Research has also contributed to the advancement of LLM technology by releasing the EXAONE 3.0, EXAONE 3.5, and EXAONE Deep[1,2,3] models, which have achieved leading performance in various benchmarks. We are continuing our research to develop models with even better performance and enhanced usability. This post will take a look at some of the recent highlights from the Foundation..."},"evidence_pages":[{"url":"https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2","final_url":"https://medium.com/@lgairesearch/2025-llm-trends-from-fm-to-ai-agent-489515ece96d?source=rss-3223c7903363------2","title":"2025 LLM Trends: from FM to AI Agent","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:45:41.448+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"2025 LLM Trends: from FM to AI Agent | by LG AI Research | Medium Sitemap Open in app Sign up Sign in Medium Logo Get app Write Search Sign up Sign in 2025 LLM Trends: from FM to AI Agent LG AI Research 14 min read Jun 16, 2025 -- Listen Share 1. Introduction In recent years, large language models (LLMs) have experienced explosive growth. Beyond being assistants that answer simple questions for users, they now demonstrate advanced reasoning capabilities, solving Ph.D-level questions or difficult problems at the level of a math competition. With this advancement in reasoning ability, they are leveraging a variety of tools, such as searching, computer manipulation, API calls, or code execution to perform complex tasks on behalf of users, greatly improving usability. With these developments in LLM, LG AI Research has also contributed to the advancement of LLM technology by releasing the EXAONE 3.0, EXAONE 3.5, and EXAONE Deep[1,2,3] models, which have achieved leading performance in various benchmarks. We are continuing our research to develop models with even better performance and enhanced usability. This post will take a look at some of the recent highlights from the Foundation..."}],"related_signals":[{"id":"0671d764-ccc9-4912-9f0b-bbec36b111ad","url":"https://onlylabs.fyi/signals/0671d764-ccc9-4912-9f0b-bbec36b111ad","source_url":"https://medium.com/@lgairesearch/unveiling-exaone-4-0-the-next-generation-of-hybrid-ai-9c669659491f?source=rss-3223c7903363------2","title":"Unveiling EXAONE 4.0, the next generation of hybrid AI","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-09-05T02:28:48+00:00","first_seen_at":"2026-06-07T07:00:26.520021+00:00","date_source":"rss.item_date"},{"id":"6494121d-f1b9-457c-9e75-f013d7dc9645","url":"https://onlylabs.fyi/signals/6494121d-f1b9-457c-9e75-f013d7dc9645","source_url":"https://medium.com/@lgairesearch/exaone-path-1-5-2f831faf1a49?source=rss-3223c7903363------2","title":"EXAONE Path 1.5","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-06-13T02:27:06+00:00","first_seen_at":"2026-06-07T07:00:26.520021+00:00","date_source":"rss.item_date"},{"id":"76419292-33f9-44b5-9901-b000e34dc4ed","url":"https://onlylabs.fyi/signals/76419292-33f9-44b5-9901-b000e34dc4ed","source_url":"https://medium.com/@lgairesearch/release-of-molmole-an-ai-that-understands-chemical-molecular-structural-formula-information-from-9ab315bd4574?source=rss-3223c7903363------2","title":"Release of MolMole, an AI That Understands Chemical Molecular Structural Formula Information from…","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-06-12T01:18:47+00:00","first_seen_at":"2026-06-07T07:00:26.520021+00:00","date_source":"rss.item_date"},{"id":"510d7a4d-44b8-4a73-8b9e-04d657e4638f","url":"https://onlylabs.fyi/signals/510d7a4d-44b8-4a73-8b9e-04d657e4638f","source_url":"https://medium.com/@lgairesearch/naacl-2025-best-paper-award-biggen-bench-a-principled-benchmark-for-fine-grained-evaluation-of-32575fcd707e?source=rss-3223c7903363------2","title":"[NAACL 2025 Best Paper Award] BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of…","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-05-02T08:26:47+00:00","first_seen_at":"2026-06-07T07:00:26.520021+00:00","date_source":"rss.item_date"},{"id":"482f3e07-4c60-4939-ad17-ceab5f68fba3","url":"https://onlylabs.fyi/signals/482f3e07-4c60-4939-ad17-ceab5f68fba3","source_url":"https://medium.com/@lgairesearch/your-ai-ethics-shape-the-future-of-ai-562c6e98aae3?source=rss-3223c7903363------2","title":"Your AI ethics shape the future of AI","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-04-22T00:31:15+00:00","first_seen_at":"2026-06-07T07:00:26.520021+00:00","date_source":"rss.item_date"},{"id":"d83486ff-d82f-47c1-88e2-32332f488a8d","url":"https://onlylabs.fyi/signals/d83486ff-d82f-47c1-88e2-32332f488a8d","source_url":"https://medium.com/@lgairesearch/understanding-creative-connections-through-relational-artifacts-94fd31730426?source=rss-3223c7903363------2","title":"Understanding Creative Connections Through Relational Artifacts","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-04-15T06:16:51+00:00","first_seen_at":"2026-06-07T07:00:26.520021+00:00","date_source":"rss.item_date"}]}