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- 👨💻 How Anthropic runs large-scale code migrations
👨💻 How Anthropic runs large-scale code migrations
🦾Plus: 🤖 China launches 29-nation AI alliance to rival U.S. influence
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: Here is roundup of Hugging Face got hacked. And Kimi K3 vs Fable 👇
👨💻10 Open-Source Libraries for Fine-Tuning LLMs
🔍 NVIDIA Drops New Open Models for RAG and Agent Memory
🔓 Hugging Face Got Hacked and US Models Refused to Help
⚔️Cline pits Kimi K3 against Fable on a real bug
📋 OpenAI CFO’s new math for AI budgets
💡 AI Tutorial: How to create a daily work brief using ChatGPT Work
🤖AI Tools and Data Tools to checkout
Code migrations were typically multi-year endeavors until recently. Claude Code's capabilities change the math for these types of projects. This post details the six-step process Anthropic uses to perform code migrations. The core principle is to fix the process that produces the code rather than fixing the code itself.
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10 open-source libraries changed this by rewriting how training happens. Custom kernels, smarter memory management, and efficient algorithms make it possible to fine-tune frontier models on consumer GPUs.
NVIDIA released a new family of open, commercially available embedding models built to handle agentic retrieval, code searches, and agent memory. If your AI agents often pull up the wrong information, this release is designed to fix that. The flagship NVIDIA Nemotron-3-Embed-8B-BF16 just took first place on the RTEB leaderboard, hitting a 78.5% retrieval score.
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Hugging Face traced the intrusion in the last week’s disclosure to a malicious dataset that abused two code execution paths and let the intruder climb to node level access before moving laterally through a swarm of short lived sandboxes. Running the analysis in house compressed days of forensic work into hours and kept every credential the agent had touched inside the company.
Two AI models walked into a bug fix. Only one could win. The Cline team tested Kimi K3 and Fable on a real bug from their own repo. Both fixed it. But the tradeoffs are interesting. Speed: Fable finished in 3.5 minutes with 18 tool calls. Kimi took 12 minutes and 34 tool calls. Fable is 3.4x faster.
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👨💻 Data Tools, Libraries
Atera brings RMM, helpdesk, patching, and monitoring into a single platform. And AI isn't the add-on—it's the foundation of every workflow. Most IT platforms were built for a different era—then AI was added later, as a layer. Atera was designed differently. One AI-native platform for everything IT.
Cube Agent: Customer-facing analytics are slow, the warehouse bill keeps climbing, and every new chart turns into an engineering project. Cube is the agentic analytics platform built for embedding: drop governed dashboards and an AI analyst into your product in days.
Columns.ai Flow turns AI into your data workflow engine. Connect spreadsheets, APIs, and SQL databases, then clean, join, filter, aggregate, pivot, and visualize your data through simple chat.
Operator Stack: Its Reporting System connects to your marketing data so you can automate reporting, uncover insights, and spend more time making decisions.
AI News:
President Xi Jinping unveiled the World Artificial Intelligence Cooperation Organisation (WAICO) in Shanghai, positioning China to shape global AI standards with members including Brazil, Indonesia and South Africa
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SpaceX is in talks to provide the Defense Department with computing capacity at a cost of up to several billion dollars. Some national security officials have raised concerns that the Pentagon is becoming too reliant on Elon Musk's services. Pentagon officials have said they want to reduce reliance on individual tech companies. The Pentagon is seeking $30 billion in funding for an initiative that will focus on securing high-end AI chips.
OpenAI CFO Sarah Friar published a scorecard for grading corporate AI budgets, arguing for “useful intelligence per dollar” to replace per-token pricing as the standard — coming as companies look to trim costs with cheaper models. The scorecard tracks reliability first, then useful output, scale, and total expense, letting teams compare models without treating tokens as the product.
Anthropic just ended a month of shifting deadlines for Claude Fable 5, saying the model will stay inside Max and Team Premium at half of each plan's usage caps, with lower plans getting a one-time $100 credit before moving to pay-per-use. Anthropic had planned to remove Fable from subscriptions completely on a temporary basis, but postponed the cutoff three times in five weeks.
A nonprofit called Current AI is racing to build open, public AI infrastructure modeled on the early World Wide Web. Backed by $400 million from the French government, Ford Foundation, MacArthur Foundation, DeepMind, and Salesforce, the organization launched an open-source AI chatbot last week and recently deployed $3.2 million in grants to projects across Kenya, Lebanon, and the Brazilian Amazon.
Most IT platforms were built for a different era—then AI was added later, as a layer. Atera was designed differently. Atera brings RMM, helpdesk, patching, and monitoring into a single platform. And AI isn't the add-on—it's the foundation of every workflow. Diagnose devices, generate scripts, surface fleet-wide insights, and manage tickets, all from one place, with AI that actually understands your environment.
AI Tutorial
How to create a daily work brief using ChatGPT Work
Go to ChatGPT and switch to the ‘Work’ tab
Click Plugins > Connect Plugins > Browse all plugins
Install Google Calendar, Gmail, Slack, and Google Drive
Use the prompt below once they are connected
Sample Prompt: Build my daily work brief using [@Google Calendar], [@Gmail], [@Slack], and [@Google Drive]. Review today’s meetings, unread messages, follow-ups, and project notes. Summarize my top priorities, meeting prep, replies needed, decisions, important FYIs, and missing context. Do not send messages, edit files, or create tasks.
ChatGPT will combine your meetings, emails, messages, and notes into one brief
Review the results and tell ChatGPT what was useful, missing, or unnecessary
Ask it to draft replies, prepare meetings, or research priorities in the same task
Once it works well, schedule it to run every weekday morning
Recurring Prompt: Prepare my daily work brief every weekday at [time]. Check the same sources and only highlight new or changed priorities, meetings, replies, decisions, and blockers. Do not send messages, edit files, or create tasks.
Quick Tip: Pin the task for quick access
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A.I. Generated Image of the Day
👀 China bans AI girlfriends [2026]
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