Knowledge catalogue
arXiv:2604.12076v1 Announce Type: cross Abstract: The Identifiable Victim Effect (IVE) - the tendency to allocate greater resources to a specific, narratively described victim than to a statistically
This Reddit post from r/ChatGPT appears to be a user-reported discussion about a perceived decline in ChatGPT's logical reasoning capabilities over time. Based on the broader context of similar commun
Alex Heath / Sources: Sources: a Snap-Perplexity AI search deal calling for Perplexity to pay Snap $400M has fallen apart; Snap is set to announce significant layoffs on Wednesday — Mass layoffs land
arXiv:2604.12102v1 Announce Type: new Abstract: We introduce compute-grounded reasoning (CGR), a design paradigm for spatial-aware research agents in which every answerable sub-problem is resolved by
Washington Post: Survey: only 35% of Virginia voters are comfortable with new data center construction, down from 69% in 2023, and just 37% support data center tax breaks — Virginians previously embra
This r/ollama thread is a community discussion where users share their preferred cloud-based AI models for coding tasks and compare their reasoning capabilities. The conversation likely highlights pop
This Reddit thread reflects a wave of user complaints about noticeable changes to ChatGPT's image generation behavior following model updates in early-to-mid 2025, with users reporting that results be
As of April 2026, Latent Space published a curated ranking of the top locally-runnable AI models, providing a research-based overview of the best open-weight or self-hostable models available at that
This Reddit post from r/ChatGPT likely explores user questions and community discussion around the degree to which individuals can influence, direct, or customize ChatGPT's behavior — including topics
Catch Or Dagan, AI21's Chief Product & Strategy Officer, at #AIDev26 on April 29: 'An End to Manual Tinkering: Optimizing Accuracy, Cost & Latency in Real-World Agents'. We'll be at Booth 121. See you
Ollama is a local inference engine designed for running pre-built LLMs on your own machine, and it does not include fine-tuning capabilities — this distinction is correct. Unsloth (and its Unsloth Stu
A Reddit post from the r/ChatGPT community where a user inquires whether other users have access to a specific ChatGPT feature, likely a newly rolled-out or experimental capability not yet available t
arXiv:2604.09609v1 Announce Type: new Abstract: Human behavior models are essential as behavior references and for simulating human agents in virtual safety assessment of automated vehicles (AVs), yet
This Reddit post likely covers common troubleshooting steps for resolving performance issues with ChatGPT, such as clearing browser cache and cookies, disabling browser extensions, and starting a new
arXiv:2602.15019v3 Announce Type: replace Abstract: Bio-pharmaceutical innovation has shifted: many new drug assets now originate outside the United States and are disclosed primarily via regional, no
This r/ChatGPT Reddit post discusses users encountering image generation failure errors in ChatGPT, a widespread and recurring issue reported across the community. Common causes include server overloa
🚨 In 2 weeks, a final decision on amendments to the EU AI Act and the GDPR will be made. What is at stake is nothing other than the future of Europe. Many don't know, but the stream of events leading
Love seeing this open-sourced. Had a great chat with @nicoalbanese10 some weeks ago where he hinted to something like this. Great reference architecture for cloud coding agents. Open Agents gives you
arXiv:2603.22816v3 Announce Type: replace-cross Abstract: Language models increasingly show their work by writing step-by-step reasoning before answering. But are these steps genuinely used, or is the
arXiv:2604.11307v1 Announce Type: new Abstract: Leveraging Multi-modal Large Language Models (MLLMs) to accelerate frontier scientific research is promising, yet how to rigorously evaluate such system
This Reddit thread discusses user reports that ChatGPT's Projects feature was no longer accessible on the Free or Go plan. The Projects feature originally debuted in December 2024 and was available on
arXiv:2412.15803v2 Announce Type: replace-cross Abstract: Advancements in large language models (LLMs) have unlocked remarkable capabilities. While deploying these models typically requires server-gra
Who's coming to AI Engineer Miami? @swyx and @liamcbride will be there! Grab the last few available tickets and meet us there! We are 10 days away! Join us in Miami and see incredible speakers like: @
This Reddit post from r/ChatGPT is a user-generated discussion in which a member notices that ChatGPT's upgrade button visually resembles Google's Gemini logo — a star-like, multi-pointed sparkle icon
At this point, I assume that every internal memo at an AI lab is just written for public release. The labs are certainly capable of keeping secrets that don’t leak, so they must realize that all-hands
'Voiden' doesn't appear in any search results as a known model or tool in the Ollama ecosystem. Based on the Reddit source and the broader context of the r/ollama community, this post likely discusses
Hadas Gold / CNN: Daniel Moreno-Gama, a 20-year-old Texas man accused of throwing a Molotov cocktail at Sam Altman's home, is charged with attempted murder and attempted arson — The man who allegedly
This Reddit post on r/ChatGPT titled 'Gender bias' likely features a user-shared observation or experiment highlighting instances where ChatGPT exhibits gender-skewed responses, such as stereotyping o
This Reddit thread addresses privacy concerns when using ChatGPT with sensitive documents, noting that standard consumer plans (Free/Plus) may store conversations and use them for model training unles
A Reddit post on r/ollama in which a developer shares a self-built, free and open-source dashboard for managing and interacting with AI agents powered by Ollama, enabling fully local and private LLM-b
This r/ollama Reddit post discusses the combined use of a locally running LLM via Ollama alongside cloud-based AI APIs, exploring how users can leverage both approaches within the same workflow. The d
A Reddit post from the r/ollama community discussing a free alternative to paid AI API services, likely centered around using Ollama to run large language models locally. The post probably highlights
Open secret that the big AI labs see themselves as emergent state-like entities in the vein of the distributed polities in “Diamond Age” or “Terra Ignota”, which is pretty funny bc staff at said labs
This Reddit post discusses how open-source AI models have advanced to rival GPT-4-level performance and can be run locally for free using Ollama — a tool that lets users download and manage large lang
Auto-generated synthesis of 194 entries about harrison-chase--x
“Above the api line” Good phrase GBrain is my attempt to be in control of my own personal AI that could become my intentionally designed cognitive armor Open source open prompts means you aren’t under
Harrison Chase, co-founder of LangChain, shared or engaged with commentary emphasizing the importance of owning your own memory harness in AI applications rather than relying on third-party API-based
This Reddit thread discusses a referral feature spotted by some ChatGPT Plus subscribers, where an 'Invite a Friend' option appears in the lower-left corner of the ChatGPT UI, allowing eligible users
A Reddit user on r/ollama shared an early-stage personal project consisting of three JavaScript files — AuraPrime.js, AuraRuntime.js, and UniversalLearning.js — likely related to AI runtime or learnin
This post by Harrison Chase (or from his X feed) likely discusses the challenges and considerations around implementing proper memory management in AI agents or LLM-based applications. It reflects on
Ethan Mollick shares an assessment of an AI model (likely a newer or smaller model) that, while not matching the performance of the leading frontier models (likely referring to top offerings from Open
Harrison Chase, co-founder of LangChain, shared a post expressing agreement with content discussing the importance of 'not locking in' to specific decisions or commitments, likely in the context of AI
memory is just context -> the harness decides what gets remembered, how, and when memory ownership = agent ownership deepagents lets you own your memory: agent-scoped, user-scoped, or org-level, all i
Harrison Chase discusses the concept of 'memory lock-in' in AI agent frameworks, arguing that the switching cost doesn't occur at the point of adoption but rather accumulates over time as agents build
Memory features in AI platforms represent a strategic mechanism for increasing user retention and platform lock-in, as personalized context and learned preferences become increasingly difficult to mig
Model providers don’t lock you in with the API. They lock you in with your own data. Memory is the moat. If you don’t own your agent’s harness, you don’t own your agent’s memory. And switching means s
Most people building AI agents don't realize this until it's too late. Your agent's memory isn't a feature. It's your moat. 1. Closed harness = they own your memory 2. Switch models → lose all context
Harrison Chase, co-founder of LangChain, likely discusses the concept that AI agents and systems lacking persistent memory cannot truly learn, adapt, or maintain continuity across interactions — makin
Harrison Chase, co-founder of LangChain, discusses a trend in the AI industry where agent harnesses are becoming increasingly closed and proprietary, with memory systems locked behind vendor-specific
Jonah Owen Lamb / The San Francisco Standard: Police report: Sam Altman's home appears to have been targeted in a second attack after a gun appeared to have been fired at his home from a car early Sun
Harrison Chase (creator of LangChain) shared a concise architectural principle regarding AI agent design: memory and harness components should remain on the application side of the API boundary rather
Harrison Chase shared a post on X (formerly Twitter) describing a resource as a very helpful overview that also presents a clear framework for understanding Anthropic's recent positioning toward OpenC
This Reddit thread from r/ChatGPT discusses user frustration over a perceived shift in ChatGPT's behavior — specifically, the model seeming to push back on or challenge user statements more than expec
At this point how can anybody take seriously @sama’s claim that “Working towards prosperity for everyone, empowering all people, and advancing science and technology are moral obligations for me”, whe
Harrison Chase, co-founder of LangChain, wrote a post in a similar style to a piece by Sarah Wooders, focusing on the concept of 'your harness, your memory' in the context of AI agents and memory syst
For once I actually agree with the constructive argument here. There are more approaches that allow you to own your own destiny. Memory is just context after all and you can provide that at many place
Great breakdown of how model providers are platformizing their AI/agents. A lot of people will take the convenience of going all in on a provider, but they will be locked in and giving up data control
Great piece. The lock-in point is the one nobody talks about enough. If your agent’s memory lives behind someone else’s API, you don’t have a product. You have a dependency. Learned this early buildin
**llm-server v2** is a community-developed local LLM server tool that introduces AI-driven self-tuning capabilities, automatically identifying and applying optimal performance flags for **llama.cpp**
Relying on model providers' stateful APIs or harnesses creates lock-in: switching models means losing your agent's memory -- a cost that only grows as agents get better at learning a big part of agent