Agent memory: how Claude repairs wrong notes with dreaming
Agent memory can preserve mistakes. Anthropic's transcript-backed dreaming repairs notes, while contract-page ownership and exact quotations protect facts.
60articles · curated from global AI & Data Engineering sources
Agent memory can preserve mistakes. Anthropic's transcript-backed dreaming repairs notes, while contract-page ownership and exact quotations protect facts.
Ciao Amici 👋 Every hiking trail in the Alps has a map at the trailhead. A good one shows you the...
Qwen3.5-0.8B's Neurons Are Secretly Ranked TL;DR. The MLP neurons of Qwen3.5-0.8B appear...
This is the third and final part of the series "Your first steps in Computer Vision on AWS". If you...
Hey everyone 👋, This post is something I have been sitting on for a while, and I am finally writing...
From a multi-agent testing experiment to a broader discussion about how engineering teams should...
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If you want agents to do what you want, you need to learn how to box them into deterministic actions....
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Hacktoberfest 2026 wrapped up on October 31st! Thank you to everyone who built, hosted, mentored,...
What racking wine teaches about agent memory The mead's lees on October 21, with the racking cane...
TL;DR: Most stalled ML projects aren’t stuck on modeling. They’re stuck on undefined success...
I kept running into the same problem while learning about large language models. I'd read a blog...
Want better answers from AI? Start by telling it who to be. In this episode of Prompt Pad,...
If you grew up in Nigeria, there is one sentence that can stop your heart in the middle of...
Every Monday, ExtraTime, my football quiz site, gets a health report written by a model. It reads the...
A README file in your ~/Downloads folder should not be able to expose your SSH keys. A calendar...
Why do an eager intern with a Hacker News blog post, a C-level executive stepping off an airplane with an in-flight magazine, and a trillion-parameter LLM all walk straight into the exact same production bog? And why even Google DeepMind can only bake half of our 600 scars into model weights.
A follow-up to my original 16GB GPU experiment, this time with consistent quantization, repeated...
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine ...
A few days back, I took part in the Apart Research sprint where our team worked on the AI collusion...
GnomeMan4201 · Study: composed-inference-ordering-v1.1 · Collected October 31, 2026 UTC What I ran:...
Block Blast looks like a puzzle game. A decompile of the app suggests it's closer to a per-player ad...
I do a lot of experimenting with local language models, and I just ended up going down a bit of a...
Seven crypto models, six walk-forward folds and a backtest audit show why predictive signal does not guarantee profits after modeled costs.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine ...
A tweet went around saying: "No human will ever write code better than LLMs. Accept this fact, stop...
This week's Hacktoberfest theme is Ghost in the Machine. Unfortunately, I don't have enough time to...
I went through ten weeks of my non-coding Claude chats to see if they saved me time. The best ones went past the question I typed.
Over the past year, agent architectures have converged on a very specific kind of complexity. If an...
Our AI agent paid 17,000 tokens before reading a single word. A production field report: how we measured, which cuts paid off, what failed, a 7-point checklist, and an open-source bench you can run on your own agent.
Green and worthless: what verifying one small application taught me, when an AI agent wrote most of...
Every "add vector search" proposal comes with the same promise: users phrase questions their own way,...
Make empty what is already empty. Let doubt breed inside doubt. — The 36 Stratagems, The Empty Fort...
The strange thing about this incident is that the certificates looked normal. They had familiar CA...
Here is the exact exchange. The model is llama3.2:latest (3.2B, Q4_K_M), running locally through...
I rebuilt a real AWS cost-triage MCP server from 15 tools to 4. Same account, same question, 7 tool calls down to 2, schemas 88% smaller.
Understanding cosine similarity, Euclidean distance, and how machines find relevant text and...
OpenAI disclosed an isolated sandbox built on cached web snapshots to stop models from probing live infrastructure during reinforcement learning.
A disclosed and fixed image-generation issue, what a multilingual black-box test showed, and what it...
This is a submission for the Hacktoberfest Open-Source AI Challenge: Slow and Steady. I set a timer...
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...
A test fails, and the reflex is: the code is wrong. Debug the code, fix the code, move on. That...
On October 23, OpenAI announced it would halt frontier model training on the live internet. Two weeks...
The third week of October 2026 was a rough one for anyone who runs software on the internet. Two...
In 1999, ten developers gathered to work on cryptographic frameworks, IPv6, and IPsec for OpenBSD, in...
Your retrieval demo is beautiful. You dropped a thousand PDFs into a vector database, wired up an...
When we use generative AI to proofread our daily writing—whether technical reports, business...
NVIDIA Dynamo is an open-source inference framework for deploying large-scale generative AI models...
Llama.cpp is a high-performance inference platform designed for Large Language Models (LLMs) like...
Five ways my own test harness lied to me, and the one that nearly got published The number...
Overview Hey everyone 👋 For a long time my OpenCode workflow was one agent, one giant...
The gap between the demo and the pipeline In the demo, you ask the model to return a...
A team I worked with tracked cost per task down to the token. They capped context. They set a budget...
I've had this conversation more times than I'd like to admit. I raise a technical question in a...
I can generate a full authentication flow with a database schema, API routes, and unit tests in under...
Every time I connect an application to a new LLM provider, I run into the same problem: how much...
Which small language models actually run on a laptop? Hardware-matched picks for 8GB, 16GB and 24GB machines, setup commands, and the honest limits.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...
Mistral released Timestral, four open-weight time-series models that top three benchmarks — by 0.003 MASE on their own table. I ran all three sizes against one-line baselines, on a known generator and on fresh Paris weather. With one summer of context the 209M lost to "repeat yesterday"; with three years it beat everything by a third — and the 20 MB model matched the 837 MB one.