Why IBM's Granite name became shorthand for built-in AI guardrails

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IBM's open Granite family of enterprise AI models has become a metaphor for guardrails, with the name meant to evoke durability and structural integrity. The article says Granite models ship with alignment layers, configurable output filters, and safety mechanisms built in during pretraining, rather than added afterward. It draws a comparison to granite's geological formation, describing safety as embedded in the material instead of bolted on. The metaphor reportedly appears in IBM documentation, technical briefings, and Brazilian regulatory discussions on AI governance. The piece also notes that the models support fine-tuning and retrieval-augmented generation while keeping core safety constraints intact.

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Nasdaq Falls 5% as Investors Pull Back from AI Stocks Following Election

The Nasdaq composite dropped about 5% in a sharp selloff as investors retreated from artificial intelligence-related trades. The decline followed the election, according to a Wall Street Journal live coverage report. The source material provided is limited to the headline and article link, so further details on specific causes and individual stock moves could not be confirmed. Market participants appeared to reassess AI-linked valuations in the wake of the vote. The item was shared on Hacker News, where it drew modest attention.

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ProgrammingDEV Community ·

Moving a Lovable Cloud App to Your Own Supabase Project: Step-by-Step

A new guide explains how to migrate an app built on Lovable Cloud to a Supabase project the owner controls. Because Lovable Cloud runs on a Supabase project managed by Lovable, it cannot be linked to a personal account, so the move requires creating a new project, copying the database and files, and switching the app's connection settings. The process covers exporting and restoring the database, which carries user accounts and password hashes, while sessions end and files, secrets, sign-in provider settings and connectors must be transferred manually. The guide advises keeping the old backend running until the new one passes all checks, and deleting nothing in Lovable until verified copies are held.

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ProgrammingDEV Community ·

How Freelancers Can Deduct AI Subscriptions and API Costs at Tax Time

Self-employed people can generally deduct AI services they pay for as business expenses, though rules differ by country and a local tax authority or accountant should confirm the treatment. Subscriptions like ChatGPT are typically filed under internet or software services, with service fees also commonly accepted, and the same category should be used consistently across years. For accounts used for both work and personal purposes, only the business-use share should be deducted, based on a documented basis such as periodic review of chat history. Pay-as-you-go API charges usually fall under the same category, with foreign-currency costs converted at payment time. Costs like courses, books, and equipment have their own treatment, and avoiding a catch-all miscellaneous category keeps records clearer.

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ProgrammingDEV Community ·

agentgc queues heavy builds for parallel Claude Code agents via a hook

A developer describes running several Claude Code agents on one laptop, where simultaneous heavy jobs such as test runs and builds can overload the machine. They built agentgc, a CLI whose Claude Code hook rewrites heavy commands like cargo test or npm run build to run through a queue. By default, a quarter of the logical cores (at least one) run heavy work at once, and the rest wait for a free slot. The hook asks for approval before rewriting commands, with an --allow option to skip that prompt, and it only rewrites plain single commands, not those with shell syntax. The release notes say tests pass on Windows, Linux and macOS in GitHub Actions, but the full flow was only tested by hand on Windows, and unsigned binaries may trigger OS warnings.

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