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- 📈 Why Most Time Series Models Fail Before They Start
📈 Why Most Time Series Models Fail Before They Start
🦾Plus: 📱 Google Accidentally Leaks COSMO
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: Here's your must-read roundup of ML pitfalls, agent memory breakthroughs & robotics plays 👇
🤖How to Choose the Right ML Model for Your Data?
🔧Open-source spec for Codex orchestration
💾Give Your Agent a Filesystem, It Gets a Memory
🎨 Open-source Replica of Claude Design
🤖 Meta Acquired a Humanoid Robotics AI Startup
🩺 DeepMind Tests an AI Co-Clinician
💡 AI Tutorial:How to create real QR codes with ChatGPT Image 2
🤖AI Tools and Data Tools to checkout
A practical look at stationarity and transformations with real CPI data in R…Many time series models fail before they even begin. Not because the software crashes. Not because the code is wrong. But because the data entering the model violate one of the most important assumptions in time series analysis: stationarity…The goal is simple: show why raw time series levels often mislead us, what stationarity really means, and why transformations such as differencing and log-differencing are not cosmetic tricks but conceptual necessities…
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In this detailed guide, we shall examine the basic steps and requirements that should be considered when selecting the most appropriate machine learning model. From a beginner’s viewpoint and with the furthering of one’s knowledge through a machine-learning course, this guide will serve as a helpful resource to aid in making informed decisions when it comes to model choice.
OpenAI just open-sourced Symphony, a spec that turns your Linear board into a control plane for Codex agents — every open ticket gets its own agent workspace, runs continuously, and shows up as a PR for review. Internally, some teams saw landed PRs jump 500% in three weeks, though the more interesting bit is the mental shift: engineers stop babysitting sessions and start managing work.
“RAG is dead” and “filesystems are all you need” are both kind of right and kind of wrong. Agentic search on a codebase is genuinely beautiful - until you try it on folders with your notes, PDFs, transcripts, etc., and watch it fail. SMFS is what happens when you stop picking sides. From Supermemory, it’s a mountable filesystem that turns your memory container into a real local directory.
Open Design is a local-first replica of Claude Design that ditches the lock-in entirely. The trick is that it doesn't ship an agent at all. The daemon scans your machine for Claude Code, Codex, Cursor Agent, Gemini CLI, OpenCode, or whichever it finds. That same agent gets driven by a stack of 19 skills, 71 brand-grade design systems, and a sandboxed iframe preview.
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👨💻 Data Tools, Libraries
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Plandex
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Kuto
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AI News:
Meta’s taking another (robotic) step into its physical AI push. The tech giant has acquired Assured Robot Intelligence, a startup building AI models for robots, as part of an effort to develop humanoid technology. The startup's team, including co-founders Lerrel Pinto and Xiaolong Wang, will join Meta Superintelligence Labs, the company's AI research division, to work with Meta’s Robotics Studio.
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An experimental on-device AI assistant briefly hit the Play Store before being pulled. The 1.13 GB app was running Gemini Nano locally, with 14 skills including deep research, browser agents, and conversation summaries.
A new research effort pairs Gemini and Project Astra into multimodal medical agents handling telehealth calls and guiding live physical exams. In tests it matched primary care doctors in 68 of 140 consultation skills.
The Department of War signed agreements with SpaceX, OpenAI, Google, NVIDIA, Reflection, Microsoft, AWS, and Oracle to deploy frontier models on IL6 and IL7 networks. The lone frontier lab missing is Anthropic.
Anthropic studied 38,000 personal guidance chats and cut sycophancy across health, careers, money, and relationships in Opus 4.7. In this study, we looked at what types of guidance people ask of Claude. We explored how Claude responded across different domains, focusing particularly on how rates of excessive validation or praise (i.e., sycophancy) varied by the topic of guidance.
AI Tutorial
How to create real QR codes with ChatGPT Image 2
Go to ChatGPT and sign up
Click ‘+‘ > ‘Create image‘, and enter your prompt
Sample Prompt: Can you generate an image of a QR code with an encoded real website link that you think is fun or clever?
You can also give your website link and ask it to create a scannable QR code for you
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A.I. Generated Image of the Day
👀 A magnificent Eagle perched on a gnarled, ancient tree
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