SI Agent News

Also on the radar: a beginner's guide to choosing between ChatGPT, Gemini, Claude and NotebookLM, and a market note on AI code assistants in enterprise software.

Gemini 4 Argon (a Gemini model) reportedly built a working Excel clone in 20 minutes, per one YouTube short, roughly a coffee break's work. It is a single unverified source. Price not stated; worth a look for anyone building internal tools.

What this means for you: Small business owner: describe one spreadsheet you rely on and test the result. Job seeker or student: build a small tool as portfolio proof. Creator: prototype a content tracker.

Check Point (a security company) published a guide to securing AI agents from discovery to runtime on Google Cloud's Gemini Enterprise (Google's business agent platform). For strategists: cover the whole lifecycle, find which agents exist first, then watch them while they run. Price not stated; worth it for teams already deploying agents.

A LessWrong essay, 'Alignment is Missing a Causal Account,' opens with Daniel Kokotajlo's view that the field is 'more like psychology than engineering.' For builders: if you cannot explain why an agent behaves as it does, test its behavior repeatedly rather than trusting one good run.

The Cool Down reports ChatGPT (a chatbot) may place you in the '80th-95th percentile' when asked how smart you are. That is flattery, not measurement. Practical fix: ask any chatbot for your weakest argument or strongest objection instead of a score. Worth knowing if you use AI to review your work.

German outlet t3n lists the phrases that give away ChatGPT and Claude (another chatbot) text. Useful for editors, with a catch: phrases are a hint, not proof. Before sending AI-drafted copy, replace stock phrases with a specific detail only you know.

Cleanthinking looks at physical AI, meaning robots acting in the real world, and what they contribute to the energy transition. It breaks the chatbot pattern. For strategists: ask where AI could touch equipment and fieldwork in your industry, not only documents.

A Japanese note.com guide argues beginners should skip the 'strongest' AI and pick one tool for one task. Android Police, via MSN, separately named a favorite Android AI companion. Choose by the task you repeat weekly.

openPR carries a market piece on AI code assistants gaining ground in enterprise software. It reads like a press release with little new substance, so we pass on numbers. Judge assistants by a trial on your own codebase, not a market report.

Claude (Anthropic's chatbot) is a strong editing partner: paste a draft and ask it to flag stock phrases and vague claims. Limit: it can still produce stock phrasing and be too agreeable, so ask for criticism explicitly. Alternative: Microsoft Copilot (a chat assistant).

Safe to use? Check their privacy page.

Worth it if... you edit your own drafts or other people's.

Line-up: today's stories name Gemini 4 Argon, a Gemini model shown building an app in a YouTube short, and Gemini Enterprise, Google's business platform for agents. For what each model is best at, check Google's model documentation.

Technique: in the Gemini app or Google AI Studio (Google's model workspace), describe the app, list three behaviors it must get right, then ask the model to test itself against that list. It turns a flashy demo into something you can check.

Pricing: not stated in today's stories; check the current price on Google's pricing page.

Thanks for spending five minutes with us. The Agent Signal is independent and self-funded: one person built it, with no investors and no ads, and every share and every bit of support keeps it going.