Tis an entirely fair summarization...
We know we suck....
Today we just answer how much🤷♀️
We know we suck....
Today we just answer how much🤷♀️
America's always been stupid, America will always be stupid & today we just find out if we are still dick- in-the-frying-pan stupid or just tonguing-a-9-volt- battery stupid.
November 3, 2026 at 7:20 PM
Tis an entirely fair summarization...
We know we suck....
Today we just answer how much🤷♀️
We know we suck....
Today we just answer how much🤷♀️
macfarlanenews.substack.com/p/day-ahead-...
Great summarization
Great summarization
DAY AHEAD - My Daily Editorial Note
November 4, 2026
macfarlanenews.substack.com
November 4, 2026 at 1:55 PM
macfarlanenews.substack.com/p/day-ahead-...
Great summarization
Great summarization
Part of the reason that it won't be trivial is that all the major search providers are moving to using llm-like technology for more than just summarization. They're using it to disclose information from links, provide figures, and even do ranking.
November 3, 2026 at 10:43 PM
Part of the reason that it won't be trivial is that all the major search providers are moving to using llm-like technology for more than just summarization. They're using it to disclose information from links, provide figures, and even do ranking.
local models are useful for certain specialized tasks (OCR, transcription, translation, summarization, etc.) but I would much rather someone else be running the smarter and more expensive models
sama is right about local inference being quite wasteful but thats why you socialize inference or at the very least start treating it as a utility
October 30, 2026 at 10:39 PM
local models are useful for certain specialized tasks (OCR, transcription, translation, summarization, etc.) but I would much rather someone else be running the smarter and more expensive models
Using the complete work of Rands™, you can now ask your favorite leadership questions: randsinrepose.com/archives/ask...
Ask Rands
I continue to avidly build with the robots on a daily basis. One of the more continually helpful use cases is summarization. Plop in the long, useless marketing
randsinrepose.com
November 3, 2026 at 4:18 PM
Using the complete work of Rands™, you can now ask your favorite leadership questions: randsinrepose.com/archives/ask...
📰 **Using LLM Summarization in Your Scikit-Learn Pipelines with Scikit-LLM**
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for […]
[Original post on igeek.gamer-geek-news.com]
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for […]
[Original post on igeek.gamer-geek-news.com]
November 5, 2026 at 3:17 PM
📰 **Using LLM Summarization in Your Scikit-Learn Pipelines with Scikit-LLM**
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for […]
[Original post on igeek.gamer-geek-news.com]
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for […]
[Original post on igeek.gamer-geek-news.com]
Maybe when you use them they entrench OBNs. When I use them they enable me to route around them. Perhaps you should rethink how you are using your search and summarization tools?
November 3, 2026 at 10:26 PM
Maybe when you use them they entrench OBNs. When I use them they enable me to route around them. Perhaps you should rethink how you are using your search and summarization tools?
im triangulating on a combination of these approaches
some sort of iterative summarization and synthesis is basically required if the model is going have a mental map to pattern match on beyond just an embedding db
some sort of iterative summarization and synthesis is basically required if the model is going have a mental map to pattern match on beyond just an embedding db
November 2, 2026 at 4:35 PM
im triangulating on a combination of these approaches
some sort of iterative summarization and synthesis is basically required if the model is going have a mental map to pattern match on beyond just an embedding db
some sort of iterative summarization and synthesis is basically required if the model is going have a mental map to pattern match on beyond just an embedding db
📰 **Using LLM Summarization in Your Scikit-Learn Pipelines with Scikit-LLM**
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for […]
[Original post on igeek.gamer-geek-news.com]
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for […]
[Original post on igeek.gamer-geek-news.com]
November 3, 2026 at 3:08 PM
📰 **Using LLM Summarization in Your Scikit-Learn Pipelines with Scikit-LLM**
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for […]
[Original post on igeek.gamer-geek-news.com]
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for […]
[Original post on igeek.gamer-geek-news.com]
AI Models for RFP Scraping & Summarization #AIModelsComparison
AI Models for RFP Scraping & Summarization
nimblox.com
November 1, 2026 at 7:21 AM
AI Models for RFP Scraping & Summarization #AIModelsComparison
A paper becomes genuinely reusable when its code, data and workflow survive the handoff from author to agent.
Most AI paper assistants stop at retrieval and summarization.
agientry.com/en/articles/...
Most AI paper assistants stop at retrieval and summarization.
agientry.com/en/articles/...
Reimagining Research Papers as Interactive
Stanford's Paper2Agent turns papers, code and data into tested MCP tools, then measures reproducibility…
agientry.com
November 3, 2026 at 2:58 AM
A paper becomes genuinely reusable when its code, data and workflow survive the handoff from author to agent.
Most AI paper assistants stop at retrieval and summarization.
agientry.com/en/articles/...
Most AI paper assistants stop at retrieval and summarization.
agientry.com/en/articles/...
He's taking about Jesus but his summarization of why is way off. Might be using AI for this speech 😂
November 4, 2026 at 6:02 AM
He's taking about Jesus but his summarization of why is way off. Might be using AI for this speech 😂
AI Email Summarization: How to Turn Long Threads Into Clear Action Items
mailtwine.com/blog/ai-emai...
mailtwine.com/blog/ai-emai...
November 2, 2026 at 5:10 PM
AI Email Summarization: How to Turn Long Threads Into Clear Action Items
mailtwine.com/blog/ai-emai...
mailtwine.com/blog/ai-emai...
youtube.com/shorts/2Qi6L...
A smooth summary can bury the one date you needed — my Gemini Masterclass (Ch. 18) teaches extraction, not summarization: pull every date, amount, and action item as a clean list you can check.
#AIinEducation #GeminiMasterclass #gemini #EducationReform #Education #AI
A smooth summary can bury the one date you needed — my Gemini Masterclass (Ch. 18) teaches extraction, not summarization: pull every date, amount, and action item as a clean list you can check.
#AIinEducation #GeminiMasterclass #gemini #EducationReform #Education #AI
Extraction Is Not Summarization | Gemini Masterclass
YouTube video by Education Reform in AI Age
youtube.com
November 4, 2026 at 10:24 PM
youtube.com/shorts/2Qi6L...
A smooth summary can bury the one date you needed — my Gemini Masterclass (Ch. 18) teaches extraction, not summarization: pull every date, amount, and action item as a clean list you can check.
#AIinEducation #GeminiMasterclass #gemini #EducationReform #Education #AI
A smooth summary can bury the one date you needed — my Gemini Masterclass (Ch. 18) teaches extraction, not summarization: pull every date, amount, and action item as a clean list you can check.
#AIinEducation #GeminiMasterclass #gemini #EducationReform #Education #AI
no, and nobody else's has been for a pretty long time now. it's a mix of mechanical scavenging, LLM summarization, and additional agent-operated information tooling
October 30, 2026 at 3:08 PM
no, and nobody else's has been for a pretty long time now. it's a mix of mechanical scavenging, LLM summarization, and additional agent-operated information tooling
arxiv.org/abs/2610.34073
been sayin this; straightforward naive RAG search over a corpus reliably outperforms complex memory systems, with summarization, fact extraction, dreaming etc mostly hurting rather than improving effectiveness
been sayin this; straightforward naive RAG search over a corpus reliably outperforms complex memory systems, with summarization, fact extraction, dreaming etc mostly hurting rather than improving effectiveness
Memory Tax: Dissecting the Net Value of Agent Memory
Memory is increasingly used in long-horizon agents, yet the net value of building memory over direct retrieval from raw history remains largely unclear. Through a large-scale evaluation across multipl...
arxiv.org
October 30, 2026 at 10:32 AM
arxiv.org/abs/2610.34073
been sayin this; straightforward naive RAG search over a corpus reliably outperforms complex memory systems, with summarization, fact extraction, dreaming etc mostly hurting rather than improving effectiveness
been sayin this; straightforward naive RAG search over a corpus reliably outperforms complex memory systems, with summarization, fact extraction, dreaming etc mostly hurting rather than improving effectiveness
When you use AI summarization to reach out to me - to sell me service like game trailers? For my 3 year old game?
I am just going to assume you use lots of AI slop in your work as well...
I am just going to assume you use lots of AI slop in your work as well...
October 29, 2026 at 7:12 AM
When you use AI summarization to reach out to me - to sell me service like game trailers? For my 3 year old game?
I am just going to assume you use lots of AI slop in your work as well...
I am just going to assume you use lots of AI slop in your work as well...
Damage control
Have a quick summarization by me in the replies ⬇️
Have a quick summarization by me in the replies ⬇️
October 30, 2026 at 5:32 PM
Damage control
Have a quick summarization by me in the replies ⬇️
Have a quick summarization by me in the replies ⬇️
Haiku 5.5 now available on Kiro in AWS GovCloud (US)
Claude Haiku 5.5, the fastest Claude 5.5 model, is now available in Kiro IDE/CLI for AWS GovCloud (US). It excels at high-volume tasks like summarization, classification, and bulk processing with adaptive thinking across 5 effort levels.
Claude Haiku 5.5, the fastest Claude 5.5 model, is now available in Kiro IDE/CLI for AWS GovCloud (US). It excels at high-volume tasks like summarization, classification, and bulk processing with adaptive thinking across 5 effort levels.
November 2, 2026 at 9:04 PM
Haiku 5.5 now available on Kiro in AWS GovCloud (US)
Claude Haiku 5.5, the fastest Claude 5.5 model, is now available in Kiro IDE/CLI for AWS GovCloud (US). It excels at high-volume tasks like summarization, classification, and bulk processing with adaptive thinking across 5 effort levels.
Claude Haiku 5.5, the fastest Claude 5.5 model, is now available in Kiro IDE/CLI for AWS GovCloud (US). It excels at high-volume tasks like summarization, classification, and bulk processing with adaptive thinking across 5 effort levels.
They started doing the summarization/cards thing like 10 years ago and it was just as baffling then
October 29, 2026 at 3:38 PM
They started doing the summarization/cards thing like 10 years ago and it was just as baffling then
Steffen Castle, Nils Feldhus, Christopher Ebert, Leonhard Hennig, Sebastian M\"oller: Training-Free Character-Length Control in Summarization with Diffusion Language Models https://arxiv.org/abs/2611.06371 https://arxiv.org/pdf/2611.06371 https://arxiv.org/html/2611.06371
November 5, 2026 at 6:40 AM
Steffen Castle, Nils Feldhus, Christopher Ebert, Leonhard Hennig, Sebastian M\"oller: Training-Free Character-Length Control in Summarization with Diffusion Language Models https://arxiv.org/abs/2611.06371 https://arxiv.org/pdf/2611.06371 https://arxiv.org/html/2611.06371
When you run your summarization job at exactly midnight in Europe 😅
#opencode #go #llm #buildinpublic
#opencode #go #llm #buildinpublic
October 29, 2026 at 3:57 AM
When you run your summarization job at exactly midnight in Europe 😅
#opencode #go #llm #buildinpublic
#opencode #go #llm #buildinpublic
Theoretically, they could have used a locally installed LLM to do the summarization. That's unlikely because many Acrobat users wouldn't have the local CPU/GPU power required.
November 2, 2026 at 4:57 PM
Theoretically, they could have used a locally installed LLM to do the summarization. That's unlikely because many Acrobat users wouldn't have the local CPU/GPU power required.