Newest

All articles, most recently crawled first.

Cards List

@BenjaminDEKR: Instead of wailing about how American public opinion of datacenters is so low, what is being done to actually fix it? "…

X AI KOLs Following · yesterday Cached

The post advocates for using AI to improve public opinion on datacenters by educating people about their benefits.

0 favorites 0 likes

@maximelabonne: Nature healed: LFM2.5-2.6B is free on OpenRouter and has good throughput! Try it in your favorite agentic harness today.

X AI KOLs Following · 15h ago Cached

The LFM2.5-2.6B AI model is free to use on OpenRouter with good throughput, and is promoted for agentic harness applications.

0 favorites 0 likes

@ChineseWSJ: US Treasury Secretary Bessent's latest efforts to control US long-term Treasury yields collapsed after just one day. 'It's like putting down a few sandbags after the flood has already broken out.' Some investors have begun to question whether they should consider selling some bonds in their portfolios and investing in other asset classes like gold or Bitcoin.

X AI KOLs Following · 10h ago Cached

US Treasury Secretary Bessent's efforts to control long-term Treasury yields failed within a day, prompting investors to consider shifting to gold or Bitcoin.

0 favorites 0 likes

@GitHub_Daily: Want to understand Claude Code's underlying design? Looking at the source code directly can be overwhelming, and blogs are often too fragmented. Recently discovered harness-books on GitHub that uses two books to clearly dissect the architecture, with a structure clearer than expected. The first book focuses on runtime structure, permission management, context...

X AI KOLs Timeline · 19h ago Cached

This article introduces two books found on GitHub that detail Claude Code's underlying architecture and design philosophy, compare Claude Code with Codex, and help developers understand the design logic of AI coding agents.

0 favorites 0 likes

@TeksEdge: A localmaxxer hit ~381 tok/s on a SINGLE RTX 3090 with Qwen3.8-27B. This developer has turned a 24GB RTX 3090 into a mo…

X AI KOLs Timeline · 23h ago Cached

A developer achieved up to 381 tok/s inference speed on a single RTX 3090 with the Qwen3.8-27B model using optimized techniques like DFlash2 and prefix caching, particularly effective for document-based tasks like RAG and coding assistants.

0 favorites 0 likes

AGENTS.md, SOUL.md and SKILL.md Aren't the Same File

Reddit r/AI_Agents · 9h ago

The article clarifies the differences between AGENTS.md, SKILL.md, and related files in AI agent development, emphasizing their roles in cost efficiency and context management to prevent drift.

0 favorites 0 likes

@themahis: One comparison to end the @bot vs @NousResearch debate once and for all...

X AI KOLs Timeline · yesterday Cached

The article compares Grok Bot and Hermes Agent, highlighting their architectural differences: Grok Bot offers a managed computer environment for AI teammates, while Hermes provides an open, configurable agent runtime for developers.

0 favorites 0 likes

@tom_doerr: Skills-4-SE provides 180+ coding skills for requirements, design, implementation, testing, and maintenance. https://git…

X AI KOLs Timeline · 18h ago Cached

Skills-4-SE is a comprehensive repository providing 180+ coding skills for software engineering tasks, including requirement analysis, design, implementation, testing, and maintenance, with a web-based skill manager.

0 favorites 0 likes

Graph workflows vs. agent loops on a local 9B model: same accuracy, a lot less tokens

Reddit r/AI_Agents · 9h ago

An experiment comparing graph workflows and ReAct-style agent loops for email triage using a local 9B model found that graph workflows significantly reduce token usage with similar accuracy.

0 favorites 0 likes

@GitTrend0x: Hermes Must-Install List 42-evey's All-in-One Plugin Suite, outsourc-e's Web Command Center, jdtimothy's Model-Switching Wizard, AMAP-ML's Skill Self-Evolution, tlehman's Literate Programming... Turning Hermes into the Next-Gen 'Goal-Driven...'

X AI KOLs Timeline · 22h ago Cached

This article introduces the Hermes Must-Install List, featuring plugins like the all-in-one plugin suite, Web Command Center, model-switching wizard, and skill self-evolution tools, aimed at enhancing Hermes' autonomy and productivity.

0 favorites 0 likes

Giving an agent a typed tool per website beat giving it a generic scraper — writeup

Reddit r/AI_Agents · 9h ago

This writeup describes how giving an AI agent typed tools per website, with extraction schemas derived and cached via an LLM, outperforms generic scrapers by making calls deterministic, cheaper, and more reliable, while grounding data in source HTML to prevent hallucinations.

0 favorites 0 likes

@mervenoyann: interesting talk by @willcb

X AI KOLs Timeline · yesterday Cached

This talk by Will Brown of Primordial AI discusses techniques for scaling Reinforcement Learning to complex, real-world tasks where rewards are not verifiable, using methods like anchoring, LLM judges, and simulation.

0 favorites 0 likes

@0x0SojalSec: The most aggressive Cyber Qwen3.8-27B uncensored released yet from bro @elder_plinius - 18/18 AI Red Team - Locally rea…

X AI KOLs Timeline · yesterday Cached

A new uncensored AI model, Qwen3.8-27B-OBLITERATED, is released with zero refusal on harmful prompts, optimized for cybersecurity tasks and jailbreaking, featuring a novel abliteration blending technique.

0 favorites 0 likes

@N01ennn: MICROSOFT QUIETLY SHIPPED THE RAG PIPELINE EVERYONE KEEPS TRYING TO BUILD FROM SCRATCH it is called Kernel Memory, and …

X AI KOLs Timeline · yesterday Cached

Microsoft has released an archived reference implementation called Kernel Memory for building RAG pipelines, which ingests data, embeds it, and provides cited answers, but it is intended as a learning resource, not production software.

0 favorites 0 likes

@elonmusk: https://x.com/elonmusk/status/2090403660756865445

X AI KOLs Timeline · yesterday Cached

Elon Musk quotes a tweet from Justine Moore expressing amusement at watching Grok Bot set up a home printer, showcasing the AI's practical applications in a lighthearted context.

0 favorites 0 likes

@noisyb0y1: He is 17 and already launched an AI agent farm for Anthropic making his first million - and at Stanford shares how: 00:…

X AI KOLs Timeline · 13h ago Cached

A 17-year-old launched an AI agent farm for Anthropic, making his first million, and shared his methods at Stanford on building AI-driven businesses efficiently.

0 favorites 0 likes

@no_stp_on_snek: Woot woot, latest contribution to Hermes for bots. Found when developing my ios/android app to access my Hermes session…

X AI KOLs Timeline · 8h ago Cached

A contribution to the Hermes Agent, a self-improving AI agent by Nous Research, featuring memory, skill creation, and multi-platform support for developers.

0 favorites 0 likes

Same retrieval, different answers: 32 of 500 LongMemEval results flipped

Reddit r/AI_Agents · 10h ago

This article highlights that benchmark scores for Engrava, a memory layer tool, can vary due to reader or judge stage variance even when retrieval results are unchanged, using LongMemEval results to illustrate the issue.

0 favorites 0 likes

@FinanceYF5: If you were to look for a job today, which 100 companies would you most want to join? Someone created 'The Lenny 100', selecting only companies with high talent density, ambitious problems to solve, large growth opportunities, and that are currently hiring. Compared to blindly sifting through thousands of job postings, this regularly updated list is more suitable for setting job search priorities.

X AI KOLs Timeline · 19h ago Cached

This article introduces 'The Lenny 100', a curated list of 100 companies with high talent density, ambitious problems, large growth opportunities, and currently hiring, aimed at helping job seekers set their job search priorities.

0 favorites 0 likes

The quiet regressions are the real cost of building agents on someone else's model

Reddit r/AI_Agents · 9h ago

The article highlights the hidden costs of building AI agents on external models, specifically unannounced behavioral regressions after updates that can disrupt automated workflows, and suggests strategies like version pinning to mitigate risks.

0 favorites 0 likes
← Previous
Next →
← Back to home

Submit Feedback