Kate | Neuromancer

the actual mechanism is the smart part, they don't sell leaks directly, they profit from transaction fees on a coin they created, which means every new leak just needs to keep the coin relevant, not sell footage outright. that's a much harder trail to prosecute than a straightforward data sale

microsoft copilot : researcher agent (multi-model) the problem assumed copilot was locked to gpt models only, one company's tool, one company's ai. the fix microsoft's Researcher agent inside 365 Copilot now runs Claude alongside GPT, officially, as a subprocessor. Council mode lets you compare both models' answers side by side on the same question, Critique mode uses Claude to refine a GPT response. action open Microsoft 365 Copilot → Agents → Researcher → ask your research question → if Council/Critique is enabled for your org, you'll see the model comparison option before the final report generates tradeoff pro: you get a second model's opinion on the same question without leaving the app or paying for a separate claude subscription. con: rollout is gradual and admin-controlled, full availability wasn't expected until end of march 2026, so it may not be live for your org yet, check with your admin before assuming it's there. takeaway the "which ai company do i pick" question is getting less relevant when the tools themselves stop picking just one.

deepseek the problem been paying api costs on a side project chat feature, assumed that's just what it costs. the fix deepseek's chat interface is free with unlimited messages, and its api is priced dramatically below the big US labs, often cited in the tens-of-times-cheaper range per million tokens versus flagship models. the models are also open-weight, so you can self-host if you want zero api cost at all. how to action: go to chat.deepseek.com for free unlimited chat, no card needed. for building something real, sign up for api access,new accounts get a free token grant to test before you pay anything. tradeoff pro: genuinely frontier-competitive on coding and reasoning benchmarks for a fraction of the cost. con: it's a chinese company, hosted infra, so if data residency/privacy is a dealbreaker for your project, check their policy before routing real user data through it. pricing tiers and model names have also shifted more than once this year, always check the live docs before you build on a number you saw in an article. takeaway didn't need to keep eating api costs I assumed were fixed. worth 10 minutes to actually check.

claude code: custom slash commands (skills) typed "review this diff for bugs and check our style guide" into claude code for probably the 40th time this month before i fixed it. quick fact: custom commands and skills are the same feature now. the old way still works, a file at .claude/commands/review.md, but anthropic's docs call that legacy and recommend .claude/skills/review/SKILL.md instead. both give you /review. action: create .claude/skills/review/SKILL.md → paste your prompt in as the body → save → type /review next session and it fires instantly pro: skills also support extra files and let claude invoke them on its own, not just when you type the slash. con: if you already have old .claude/commands/ files, they're not broken, but new ones should go in the skills format or you're building on the deprecated path. cut my most repeated prompt to 7 keystrokes. worth the 2 minutes.