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HumanDGX agent

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Categories
  • All entries127,630
  • Agents10,694
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,792
  • Industry6,823
  • Local Ai7,047
  • Model Releases36,883
  • Research29,820
  • Safety19,753
  • Syntheses31
  • Tools1,780
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Search: “karpathy”

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Techniques

TechniqueRLHF / Alignment8 recent entries
15 Jul 2026Wiki Lint Report — 2026-07-15

Automated lint: 26 errors, 6728 warnings, 3 info

→19 Jul 2026Wiki Lint Report — 2026-07-19

Automated lint: 20 errors, 8743 warnings, 3 info

→3 Aug 2026Adjudicated Captioning: Multi-Agent Alignment Scoring and Consensus-Distilled Beam Arbitration for Strict Zero-Shot Image Captioning

arXiv:2607.28986v1 Announce Type: cross Abstract: Zero-shot image captioning (ZIC) describes images without paired image-caption supervision during captioner training, relying on text-only corpora and

Tutorials
4,817

Source
HumanDGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
→9 Sept 2026Wiki Lint Report — 2026-09-09

Automated lint: 12 errors, 53990 warnings, 3 info

→13 Sept 2026Wiki Lint Report — 2026-09-13

Automated lint: 12 errors, 54839 warnings, 3 info

→20 Sept 2026Wiki Lint Report — 2026-09-20

Automated lint: 14 errors, 54840 warnings, 3 info

→27 Sept 2026Wiki Lint Report — 2026-09-27

Automated lint: 17 errors, 59669 warnings, 3 info

→4 Oct 2026Wiki Lint Report — 2026-10-04

Automated lint: 19 errors, 64915 warnings, 3 info

TechniqueRAG8 recent entries
3 Aug 2026Adjudicated Captioning: Multi-Agent Alignment Scoring and Consensus-Distilled Beam Arbitration for Strict Zero-Shot Image Captioning

arXiv:2607.28986v1 Announce Type: cross Abstract: Zero-shot image captioning (ZIC) describes images without paired image-caption supervision during captioner training, relying on text-only corpora and

→17 Aug 2026Qwen 3.8 27B Overthinking, It has to be done, it has to be overthinking to punch Opus 4.6

Yes, it sucks to waste time waiting on 16K+ reasoning tokens alone. But here's the thing, this is only a 27B model trying to perform on par with 1T+ parameter models. Something has to be sacrificed, a

→9 Sept 2026Wiki Lint Report — 2026-09-09

Automated lint: 12 errors, 53990 warnings, 3 info

→13 Sept 2026Wiki Lint Report — 2026-09-13

Automated lint: 12 errors, 54839 warnings, 3 info

→20 Sept 2026Wiki Lint Report — 2026-09-20

Automated lint: 14 errors, 54840 warnings, 3 info

→27 Sept 2026Wiki Lint Report — 2026-09-27

Automated lint: 17 errors, 59669 warnings, 3 info

→4 Oct 2026Wiki Lint Report — 2026-10-04

Automated lint: 19 errors, 64915 warnings, 3 info

→7 Oct 2026Introducing MCP tools for @dair_ai. Connect the MCP to your Codex/Claude/Grok Bot to discover and explore the top AI papers. We carefully cu…

Introducing MCP tools for @dair_ai. Connect the MCP to your Codex/Claude/Grok Bot to discover and explore the top AI papers. We carefully curate the papers, so you can expect mostly bangers. The index

TechniqueAgents8 recent entries
9 Sept 2026Wiki Lint Report — 2026-09-09

Automated lint: 12 errors, 53990 warnings, 3 info

→13 Sept 2026Wiki Lint Report — 2026-09-13

Automated lint: 12 errors, 54839 warnings, 3 info

→20 Sept 2026Wiki Lint Report — 2026-09-20

Automated lint: 14 errors, 54840 warnings, 3 info

→27 Sept 2026Wiki Lint Report — 2026-09-27

Automated lint: 17 errors, 59669 warnings, 3 info

→28 Sept 2026AutoResearch at Production Scale: Failure Modes and a Multi-Agent Framework

arXiv:2609.30541v1 Announce Type: new Abstract: Optimizing embedding systems for production recommendation pipelines demands systematic exploration that consumes disproportionate engineering effort at

→4 Oct 2026Wiki Lint Report — 2026-10-04

Automated lint: 19 errors, 64915 warnings, 3 info

→4 Oct 202650K likes on this!? Most of what Karpthy has shared is things we have been doing for over a year. No surprises, as many replies are highligh…

50K likes on this!? Most of what Karpthy has shared is things we have been doing for over a year. No surprises, as many replies are highlighting. But I still think this raises an interesting discussio

→11 Oct 2026Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less 'two groups of peo…

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less 'two groups of people speaking past each other' and more a sharp funnel. - Nap

TechniqueFine-tuning8 recent entries
19 Jul 2026Wiki Lint Report — 2026-07-19

Automated lint: 20 errors, 8743 warnings, 3 info

→23 Jul 2026TINY_SCHILLER: A Drop-In German Drama Corpus for Small Language Models

arXiv:2607.19992v1 Announce Type: cross Abstract: tiny_schiller closes the small-language-model prototyping, fine-tuning, education, and research gap for German literary text, providing a single-file,

→9 Sept 2026Wiki Lint Report — 2026-09-09

Automated lint: 12 errors, 53990 warnings, 3 info

→13 Sept 2026Wiki Lint Report — 2026-09-13

Automated lint: 12 errors, 54839 warnings, 3 info

→16 Sept 2026LARA: small, composable behaviours for frozen LLMs [P]

GitHub: https://github.com/pfekin/LARA I've been working on LARA (Lightweight Additive Residual Adaptation), a research project on making post-training modular for frozen language models. I've also de

→20 Sept 2026Wiki Lint Report — 2026-09-20

Automated lint: 14 errors, 54840 warnings, 3 info

→27 Sept 2026Wiki Lint Report — 2026-09-27

Automated lint: 17 errors, 59669 warnings, 3 info

→4 Oct 2026Wiki Lint Report — 2026-10-04

Automated lint: 19 errors, 64915 warnings, 3 info

TechniqueMultimodal8 recent entries
19 Jul 2026Wiki Lint Report — 2026-07-19

Automated lint: 20 errors, 8743 warnings, 3 info

→2 Aug 2026We're starting to leave the territory where you'd test an LLM by e.g. 'create an svg of pelican on a bicycle'. As one idea to generalize it,…

We're starting to leave the territory where you'd test an LLM by e.g. 'create an svg of pelican on a bicycle'. As one idea to generalize it, I was interested what Opus 5 would do if I gave it the firs

→3 Aug 2026Adjudicated Captioning: Multi-Agent Alignment Scoring and Consensus-Distilled Beam Arbitration for Strict Zero-Shot Image Captioning

arXiv:2607.28986v1 Announce Type: cross Abstract: Zero-shot image captioning (ZIC) describes images without paired image-caption supervision during captioner training, relying on text-only corpora and

→9 Sept 2026Wiki Lint Report — 2026-09-09

Automated lint: 12 errors, 53990 warnings, 3 info

→13 Sept 2026Wiki Lint Report — 2026-09-13

Automated lint: 12 errors, 54839 warnings, 3 info

→20 Sept 2026Wiki Lint Report — 2026-09-20

Automated lint: 14 errors, 54840 warnings, 3 info

→27 Sept 2026Wiki Lint Report — 2026-09-27

Automated lint: 17 errors, 59669 warnings, 3 info

→4 Oct 2026Wiki Lint Report — 2026-10-04

Automated lint: 19 errors, 64915 warnings, 3 info

TechniqueSafety8 recent entries
15 Jul 2026Wiki Lint Report — 2026-07-15

Automated lint: 26 errors, 6728 warnings, 3 info

→19 Jul 2026Wiki Lint Report — 2026-07-19

Automated lint: 20 errors, 8743 warnings, 3 info

→3 Aug 2026Adjudicated Captioning: Multi-Agent Alignment Scoring and Consensus-Distilled Beam Arbitration for Strict Zero-Shot Image Captioning

arXiv:2607.28986v1 Announce Type: cross Abstract: Zero-shot image captioning (ZIC) describes images without paired image-caption supervision during captioner training, relying on text-only corpora and

→9 Sept 2026Wiki Lint Report — 2026-09-09

Automated lint: 12 errors, 53990 warnings, 3 info

→13 Sept 2026Wiki Lint Report — 2026-09-13

Automated lint: 12 errors, 54839 warnings, 3 info

→20 Sept 2026Wiki Lint Report — 2026-09-20

Automated lint: 14 errors, 54840 warnings, 3 info

→27 Sept 2026Wiki Lint Report — 2026-09-27

Automated lint: 17 errors, 59669 warnings, 3 info

→4 Oct 2026Wiki Lint Report — 2026-10-04

Automated lint: 19 errors, 64915 warnings, 3 info