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- 🧠 AI Agent Memory Design
🧠 AI Agent Memory Design
🦾Plus: ⏸️ OpenAI's chief scientist asks for an AI slowdown
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: Here is roundup of eval engineering, R Packages, Claude Code mistakes 👇
🛍️Shopify’s Tiny AI Model Beat GPT-5.6 at One Job
📊44 LLMs Tested: No Single Model Wins Everything
🐘The startup's Postgres survival guide
🧮 Claude closed a 350 year old math problem in 11 Days
💡 AI Tutorial: How to shop any outfit from a photo using ChatGPT
🤖AI Tools and Data Tools to checkout
In this article, you will learn how to design reliable memory systems for AI agents, covering both the patterns that work and the common architectural mistakes that cause persistent, hard-to-trace failures. Topics we will cover include: What agent memory actually means and how it differs from context, prompts, and static knowledge bases.
Shopify CEO Tobi Lütke revealed that a fine-tuned Qwen3.5 0.8B model beat GPT-5.6 Sol xhigh at generating buyer profiles. The task was narrow, but the results were huge: Shopify uses a similar feedback loop for its Sidekick GraphQL agent. When Sidekick produces a weak answer, frontier models review the failure, suggest a fix, and replay the task. Successful repairs become training data for the smaller model.
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Martian has launched AI Frontier, an interactive dashboard comparing 44 LLMs across quality, real-world cost, and reliability. One of the most useful metrics is Model Reliability, which measures how consistently a model solves the same type of problem across repeated runs. Scores currently range from about 0.74 to 0.96.
Alexander shares practical lessons from running Postgres in a growing startup. He explains how to design schemas, write efficient queries, manage connections, handle migrations, and tune autovacuum. He also covers query planning, batching, partitioning, locking, and large data migrations. The goal is to help engineers keep Postgres fast, reliable, and stable as their applications scale.
AI made PMs faster. Multiplayer mode is still broken.
A PM can summarize research, draft a PRD, and mock up a prototype before lunch. The hard part starts when the team has to decide what actually gets built.
Jira Product Discovery gives product teams one place to capture insights, prioritize ideas with consistent frameworks, and build living roadmaps stakeholders can rally around.
And because it’s connected to Jira, the context behind every decision stays with the work—so developers and their agents know not just what to build, but why.
AI helps PMs move faster. Jira Product Discovery helps the whole team build with confidence.
👨💻 Data Tools, Libraries
Moyai - Stop guessing if your agents are failing and start monitoring them for failures. We surface agent failures by looking for behavioural anomalies your your agent traces and classify failures with RCA and remediation steps.
DriftDB
A real-time data backend for browser-based applications.
Jampack
Optimizes static websites for best user experience and best Core Web Vitals scores.
Promptable is a library that enables users to build AI applications using LLMs, Embeddings providers, databases, and APIs.
AI News:
OpenAI’s Jakub Pachocki published an essay asking the industry to slow down until rules exist for how far a model can be pushed, warning that “no lab has solved alignment and monitoring” well enough “to continue responsibly scaling.” In the essay, titled "An Alien Mind,” Pachocki wrote that he expects the coming years to deliver leaps as big as the last three, with AI itself handling more research.
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Wiles proved Fermat in 1995 and Claude just got a machine to confirm every step. Claude proved 29,500 supporting theorems before the final one went through. The finished file is the largest Lean proof ever written. Kevin Buzzard reviewed it and called the result extraordinary.
OpenAI believes that Artificial General Intelligence must be democratically governed for it to benefit all humanity. This can only happen through an informed public debate on the capabilities, risks, and safeguards of highly capable AI systems. The company has released details of its progress towards Recursive Self-Improvement (RSI) in recent months. It plans to continue to be transparent about its progress with RSI and believes that other companies should be required to publicly track their progress as well.
Tim Cook remains a powerful center of gravity at Apple. He will play an especially crucial role in certain areas, such as the company's dealings with the US and China, and its handling of the memory shortage. Cook will get a base salary of $2 million, twice the typical base salary of senior vice presidents and members of the C-suite. He will also receive cash bonuses and stock units that vest over time. The salary clearly shows that Cook's role will be very active.
The Seattle Times and Newsday filed a lawsuit in the Southern District of New York accusing OpenAI and Microsoft of scraping paywalled articles without permission to train ChatGPT, Microsoft Copilot, and AI-powered Bing. The publishers claim the AI systems reproduced entire passages and closely paraphrased reporters' work, demanding the companies destroy all copies of their content and any models trained on it.
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AI Tutorial
How to shop any outfit from a photo using ChatGPT
See an outfit you like online? You can now upload the photo to ChatGPT and use the Remode plugin to find similar clothes and where to buy them.
Open ChatGPT.
Go to Plugins or Apps and install Remode.
Upload a photo of the outfit you want.
Call Remode in the chat.
Ask: “Find this outfit for me.”
Remode finds similar items and shows you where to buy them.
Most "hybrid" analytics setups still mean replicating data into the cloud first. AIStor skips that step. Watch a live walkthrough: import a share into Unity Catalog, query on-prem Iceberg and Delta tables directly, and get results back in seconds—no copy, no downsampling, no pipeline to maintain.
Jobs:
This week's Data & Analytics jobs: I have updated my curated list with fresh openings. Browse and apply in one click: jobs
Machine Learning Engineer – Hybrid – Boston
Lead Machine Learning Engineer – Texas
Senior Data Engineer – Analytics – Boston
Data scientist - NY
🔥Top AI tools to increase productivity:
Archie: AI social content that sounds link you
Alice - A native app that offers fast and reliable experience with models (OpenAI, Perplexity, Claude and more)
Linktopia - Community link-building for bloggers, entrepreneurs and startup brands to grow
VerifactAI is an AI fact-checking tool that allows you to fact-check your articles within a minute.
Undress AI Tool is a website that offers a deepnude application, allowing users to create modified images
Screenloop is the ultimate Talent Operations Platform, seamlessly integrating a next-gen ATS
Postlyy - All in one platform to create, schedule, and analyze content on X and LinkedIn
AirRankPilot helps local businesses get discovered by Google and AI tools like ChatGPT and Perplexity
View our database of all the best AI tools for your needs: aitoolsup.com
Have cool resources to share? Submit AI tool
A.I. Generated Image of the Day
👀 a synthesis of a huge fantasy art collection
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