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TOOLS YOU CAN USE
Four items this week turn on the same variable: what you own outright versus what you use at another company's discretion.
X Corp sent cease-and-desist letters to two projects on Monday, and one of them shut down that afternoon. IBM put permissive licensing on a new 30B model. Apple put 512GB of memory in a box that sits under a desk. A fourth story asks the same question one layer down: whether the agent memory you're accumulating lives in a format you can read yourself or one only the tool that wrote it can open. Four different stories, same underlying variable: whether the thing your work depends on keeps working, and stays yours, when the party supplying it changes its mind.
This week's items
X Corp shuts down the Nitter mirrors (data-sourcing).
Nitter is a lightweight mirror that let software read public X posts without an X account or a paid API contract. X Corp sent cease-and-desist letters to the Nitter project, maintained by GitHub user zedeus, and to XCancel on August 24, and XCancel suspended service the same day. This matters at the procurement level because social listening dashboards, competitive-tracking tools, and internal automations frequently source X content through a Nitter-family frontend without saying so anywhere in their documentation. The failure mode is quiet: the feed thins out or goes empty rather than throwing an error anyone sees. Two enforcement letters on one day reads like a policy decision about the whole category, not two isolated disputes, so the surviving mirrors are likely on borrowed time too, though X Corp hasn't stated a blanket enforcement policy.
Apple puts 512GB under the desk (procurement).
The new M5 Max/Ultra Mac Studio configures to 512GB of unified memory, meaning memory the processor and graphics share, so a large model no longer has to be split across the ceiling of a single graphics card. Practical effect: even a 671-billion-parameter model like DeepSeek R1 fits at 4-bit quantization, which runs to roughly 400GB, leaving headroom in the 512GB configuration; only frontier-scale weights beyond that still force a rented multi-GPU server. For a team with steady, predictable inference volume, buy-versus-rent becomes an arithmetic comparison against a monthly cloud invoice rather than a rhetorical one. The number that still governs the answer is bandwidth, quoted at 1.2 terabytes per second. Capacity decides whether the model loads; bandwidth decides how fast it answers. Xiaomi quoted a nearly identical figure, 1.22 terabytes per second, for its AI Cube prototype 48 hours earlier, which puts both vendors on the same competitive axis. Independent throughput measurements have not landed yet.
Granite 4.2 ships with a clean license (procurement).
IBM released a 30B Granite checkpoint on Hugging Face under the same permissive licensing it applies across the Granite line. On capability it does not lead the current 30B field, and for most builders that ends the conversation. For anyone putting a model inside a product a customer pays for, the license is the term that reaches legal review, and the licensing on the Qwen and DeepSeek weights raises questions that take weeks to close. Granite wins the part of the procurement conversation that has nothing to do with benchmark position. When a deployment stalls in contract review rather than in testing, unambiguous commercial terms are the category of fix, and there are now more options in it.
Agent memory that stays readable (workflow).
Drop a document into an Obsidian vault and claude-obsidian reads it, links it to what is already there, and files it into a knowledge base made of plain Markdown files. Setup does not involve writing code. What separates it from the other agent-memory projects that appeared this week is the storage format: text files in folders, openable in any editor, searchable with any tool, and portable if the project stops being maintained. The alternatives keep the same context in a specialized database that only the tool that wrote it can read. For an operator accumulating durable context for an assistant, meaning client history, meeting notes, decisions and the reasoning behind them, the format question outranks the feature list, because those notes will outlive the tool by years. Two other agent-memory projects, openviking and ozbrain, landed the same week, and the split between all three is text versus database.
The Nitter shutdown is the only one of the four with a clock on it. Anything in the stack that reads public X content, whether that is a monitoring dashboard, a research tool, or a script someone wrote two years ago and left running, either has a paid data agreement underneath it or it went quiet on Monday. That answer takes an afternoon to find, and finding it does not require anyone technical.