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Freshness: newest result fetched 26 d ago · median age of these results 26 d · 1 of 30 carry a fetch time
The query asks the model to recall the topic of an earlier conversation about Tesla; the gold answer is anchored in one specific session about Pooja’s dig site
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https://arxiv.org/html/2608.02613v1
6 Ingest Overhead: When Does Structured Memory Pay Off
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https://arxiv.org/html/2407.16741v3
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Barman is open source, and its code is distributed under GNU General Public License 3 terms
https://lemmy.ml/feeds/c/jellyfin.xml?sort=Active
com/jellyfin/jellyfin" rel="nofollow">GitHub</a></p> <p><a href="https://docs
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This is something interesting @[email protected]
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Source: https://github
https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
GitHub - wanshuiyin/Auto-claude-code-research-in-sleep: ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation
https://www.nature.com/articles/s41586-026-11030-4
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https://proit.org/u/otter@lemmy.ca
com/2025/11/18/mastodon-ceo-steps-down-as-the-social-network-restructures/
With the revamp, Mastodon has the potential to expand its business, product, and mission, without being dependent on a single person’s leadership
https://airflowsummit.org/program
Dag versioning moved Airflow beyond a “latest only” model, but it also introduced confusion around why Dag versions keep increasing, what disabling Dag bundle versioning actually does, what creates a new version, and how users should think about clears, reruns, and backfills after a Dag changes
https://huggingface.co/papers?q=companion
com/YutingHe-list/GEMINI","githubRepoAddedBy":"auto","ai_summary":"GEMINI improves dense contrastive representation learning for medical images by incorporating deformable homeomorphism learning and geometric semantic similarity to enhance correspondence discovery, performance, and learning efficiency
https://www.nature.com/articles/s41586-026-10950-5
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https://huggingface.co/datasets/microsoft/benchpress-score-matrix
com/eval-sys/mcpmark"},"canonical_setting_json":{"kind":"string","value":"{\"higher_is_better\": true, \"judge\": \"programmatic verification scripts\", \"metric_type\": \"pct\", \"multimodal_input\": false, \"notes\": \"Official sources are arXiv:2509
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https://nature.com/articles/s41586-026-10949-y
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https://www.nature.com/articles/s41586-026-11024-2
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https://nature.com/articles/s41586-026-10987-6
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https://dx.doi.org/10.1038/s41586-026-10876-y
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https://www.tensorflow.org/datasets/catalog/robo_set?authuser=0&hl=th
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https://airflowsummit.org/sessions/2026
Most agentic problem-solving, when you look at what it actually does, has pipeline structure: gather data, process each dimension independently, synthesize, evaluate
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With us, you’ll work on your own terms:</p> <ul class="simple"> <li>Contribute from wherever you like—we are fully remote</li> <li>Set your own time commitment, as long as it’s at least 30h per week</li> <li>See how we work in our handbook: github
https://dev3lop.com/blog/
com/et1-data-input-node-overview/) category
https://www.youtube.com/s/_/ytmainappweb/_/js/k=ytmainappweb.kevlar_base.en_US.cLV13sMXAOo.es5.O/am=AAAAABAAEAASAw/d=1/rs=AGKMywFDWAntsdaoU6l1X3Y75AsoOMjniQ/m=kevlar_base_module,kevlar_main_module,kevlar_base_sync_mod_chunk
com/dmoscrop/fold-case But in addition to case-folding, we also normalize whitespace
https://www.youtube.com/s/_/ytmainappweb/_/js/k=ytmainappweb.kevlar_base.en_US.cLV13sMXAOo.es5.O/am=AAAAgAAAEAASAw/d=1/rs=AGKMywE2apsPgVx45A7JH7cAsv-7Nlqb3A/m=kevlar_base_module,kevlar_main_module,kevlar_base_sync_mod_chunk
com/dmoscrop/fold-case But in addition to case-folding, we also normalize whitespace
https://www.youtube.com/s/_/ytmainappweb/_/js/k=ytmainappweb.kevlar_base.en_US.Lh3PSrPIW0c.es5.O/am=AAAAQAAAEAASAw/d=1/rs=AGKMywHPGrLhx2cZ20I9xF4ToTxUQBMjWA/m=kevlar_base_module,kevlar_main_module,kevlar_base_sync_mod_chunk
com/dmoscrop/fold-case But in addition to case-folding, we also normalize whitespace
https://news.ycombinator.com/item?id=49522897
It’s a high-scale, top-of-funnel product used across billions of site visits
Sites: arxiv.org (3) · www.nature.com (3) · lemmy.world (2) · airflowsummit.org (2)