Here is your today’s AI Dev Brief from Marktechpost, covering core research, models, infrastructure tools, and applied updates for AI developers and researchers. See if you can apply for this wonderful opportunity at TinyFish Accelerator: a $2Million program backed by Mango Capital (the firm behind HashiCorp and Netlify). The application process: build a working app using the TinyFish Web Agent API, record a 2–3 min raw demo, and post it publicly on social media.

See if you can apply for this wonderful opportunity at TinyFish Accelerator: a $2Million program backed by Mango Capital (the firm behind HashiCorp and Netlify). The application process: build a working app using the TinyFish Web Agent API, record a 2–3 min raw demo, and post it publicly on social media.

If you're building a business solving a real problem that requires web interaction - scraping, finding specific data-points, form-filling, navigating complex UIs, executing workflows - you're already ahead. Plug in the TinyFish API, record your app working, and apply.

15+ partners (ElevenLabs, v0 by Vercel, Fireworks .ai, Google for Startups, MongoDB, AG2, Composio, Dify, and more) provide free credits and engineering support. Plus, business mentorship sessions with AI entrepreneurs and thought leaders...… Applications open through March-end

^*sponsored

Uni-1 is a foundational image model that shifts the generative paradigm from traditional diffusion to a decoder-only autoregressive transformer architecture. By treating text and visual data as interleaved token sequences, Uni-1 performs a "reasoning" phase to plan compositions and apply spatial logic before synthesizing pixels, effectively bridging the gap between human intent and high-fidelity execution. Outperforming rivals like Flux Max and Gemini in human preference rankings and benchmarks like RISEBench, the model excels at complex tasks such as character consistency and sketch-to-final workflows without the need for intricate prompt engineering. Currently available for approximately $0.10 per image with an API rollout on the horizon, Uni-1 marks a significant move toward multimodal general intelligence for professional engineering and creative pipelines..… Read the full analysis/article here.

NVIDIA’s Nemotron-Cascade 2 is an open 30B Mixture-of-Experts (MoE) model with 3B activated parameters designed to deliver high intelligence density in reasoning and agentic tasks. It achieved Gold Medal-level performance in the 2025 International Mathematical Olympiad (IMO), International Olympiad in Informatics (IOI), and the ICPC World Finals, utilizing 20x fewer parameters than some frontier-scale models. The model’s performance is driven by a post-training pipeline that integrates Cascade RL—a sequential, domain-wise reinforcement learning framework—with Multi-Domain On-Policy Distillation (MOPD) to stabilize training and recover performance regressions.… Read the full analysis/article here.

See if you can apply for this wonderful opportunity at TinyFish Accelerator: a $2Million program backed by Mango Capital (the firm behind HashiCorp and Netlify). The application process: build a working app using the TinyFish Web Agent API, record a 2–3 min raw demo, and post it publicly on social media.

Apply here ➡️

▶ How to Design a Production-Ready AI Agent That Automates Google Colab Workflows Using Colab-MCP, MCP Tools, FastMCP, and Kernel Execution Codes Tutorial

▶ Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent Codes Tutorial

▶ A Coding Implementation Showcasing ClawTeam's Multi-Agent Swarm Orchestration with OpenAI Function Calling Codes Tutorial

▶ A Coding Implementation to Design an Enterprise AI Governance System Using OpenClaw Gateway Policy Engines, Approval Workflows and Auditable Agent Execution Codes Tutorial

200+ more open codes/notebooks here ➡️