Baseten vs Supabase

Baseten, Hugging Face, Goodfire Partner for AI Safety

Baseten's research arm, Base Labs, announced a partnership with Hugging Face and Goodfire AI to establish a safety standard for open-weight AI models. The collaboration aims to develop and publish methods for training and monitoring these models, making safety an integrated feature rather than an afterthought. This comes amid rising concern over 'abliteration,' a technique that removes safeguards from open models, with Hugging Face listing over 6,000 such models. The companies have not detailed technical specifics, but Goodfire's expertise in AI interpretability is expected to play a key role. This initiative seeks to leverage openness as an advantage for safety, providing transparent controls and encouraging community contributions.

• Baseten launched a safety infrastructure standard via Base Labs.
• Partnership with Hugging Face and Goodfire AI announced.
• Hugging Face hosts over 6,000 abliterated models.

Blaxel is joining Baseten to build the future of agentic infrastructure

Baseten announces that Blaxel is joining the company to build the future of agentic cloud infrastructure. The blog post highlights this strategic move, which is a major corporate announcement.

DeepSeek Launches V4.1 Flash with Novel Encoder-Decoder Architecture

DeepSeek released DeepSeek-V4.1-Flash, a 763B-parameter mixture-of-experts model employing a novel causal encoder-decoder architecture with 8B active parameters for prefill and 16B for decode. It features native vision understanding, 1M token context, an MIT license, and extreme inference efficiency, claiming up to 1/8 KV cache footprint versus V4 Flash. Independent evals (Artificial Analysis Index 40, Vals Index #1 open-weight) show it surpasses V4 Pro at lower cost. API pricing is $0.30/1M input and $1.20/1M output tokens. DeepSeek has soft-retired V4 Pro, routing traffic to V4.1 Flash. The model supports SSD offload and local deployment, with Ollama and Baseten offering day-0 support. Technical discussions highlight the architecture's novelty and potential impact on long-context agents.

• DeepSeek launched V4.1-Flash with a causal encoder-decoder architecture, 763B total params (8B prefill/16B decode active).
• Artificial Analysis Index scores V4.1-Flash at 40, above V4 Pro and below GLM-5.3-Flash.
• API pricing: $0.30 per 1M input tokens, $1.20 per 1M output tokens, cached input $0.006 per 1M.

Supabase is now available in Gemini Enterprise

Connect Supabase to Gemini Enterprise and query your Supabase projects with natural language, right inside the platform.

Build SaaS Apps with Claude Code, Clerk, and Supabase

This technical walkthrough guides product managers on how to build, secure, and monetize a full-stack B2B2C SaaS application using AI agents without writing code. Using a case study called AskOne—a live Q&A alternative to Slido—the tutorial details a universal, multi-step workflow. The process utilizes Anthropic's Claude Code to generate design layouts, establish design system tokens, and implement functional React components. The system integrates Clerk for user authentication and recurring subscription billing configuration, alongside Supabase as the backend database connected securely via Claude's Model Context Protocol (MCP) server framework.

• The author developed Grok Build for VS Code, achieving over 105,000 installations and 37,000 monthly active users (MAU).
• AI agents autonomously wrote 5,094 automated end-to-end integration and unit tests for the software in three months.
• The workflow utilizes a recommended B2B stack consisting of Next.js, Clerk, and Supabase.

Safely Drop All PostgreSQL Tables (2026)

A technical how-to describing safe methods to drop all tables in a PostgreSQL database. The article shows a one-command reset (DROP SCHEMA public CASCADE; CREATE SCHEMA public; GRANT ...), explains PostgreSQL 15 default changes that revoke CREATE from PUBLIC and set public's owner to pg_database_owner (which can cause permission errors), and details Supabase-specific risks (Dropping public can remove Supabase-managed schemas and extensions). It gives variants to preserve extensions (reinstall extensions or drop tables only via a DO-block loop), recommends wrapping resets in transactions for local dev, and provides a production safety checklist: take backups, confirm connection, block connections, and restore from pg_dump/pg_restore rather than dropping schema in prod.

• DROP SCHEMA public CASCADE removes the public schema and all dependent objects (tables, views, sequences, functions, triggers).
• PostgreSQL 15 defaults: PUBLIC no longer has CREATE by default, and the owner of public is pg_database_owner, which can cause 'permission denied for schema public' after recreating the schema.
• On Supabase, DROP SCHEMA public CASCADE can cascade into Supabase-managed schemas (auth, storage, realtime, graphql) and break the project; use 'supabase db reset' for dev and restore from backups for production.