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- Tue 3 December, 2024 - Build a chart-topping AI song
Tue 3 December, 2024 - Build a chart-topping AI song
WELCOME
Hey all, welcome back to The Frontier — our weekly newsletter covering the hottest new launches in AI and industry trends. This week, we’re spotlighting some amazing generative art platforms. Let’s dive in.
TOP LAUNCHES
Infinite generative canvas, AI for VCs, and a build-your-own song platform
Top launches
Magic Patterns: An infinite, generative AI canvas for design inspiration
Magic Pattern’s goal is to help you design faster. You can prompt it, reference designs you’ve already created, and link screens together to create working prototypes.
VelaOS: Invest in startups with the help of data and insights from AI agents
Vela leverages a “swarm” of AI agents to highlight growing markets, companies, and people to investors. The basic idea is to facilitate quantitatively driven decisions to maximize investment returns.
ACE Studio: AI vocal workstation for music professionals
ACE claims it lets you generate “studio quality” natural singing vocals from MIDI [Musical Instrument Digital Interface] and lyric inputs. At first glance, the possibilities here seem pretty amazing — you can choose between over 80 royalty-free AI voices across styles as far-ranging as R&B, opera, Jpop, and soul, and the UI gives you lots of flexibility to modify the output as you go.
TwinMind: An AI sidebar that listens, sees tabs, and helps proactively.
TwinMind is an AI sidekick that understands context. It gives you real-time ideas on what to say next during meetings and interviews, and you can search the web or ask anything about your browser tabs, PDFs, and YouTube videos.
FAANG: Build your custom AI interviewer “Buddy”
FAANG lets you build a customized AI copilot for helping you with job interviews. It provides tips tailored to your specific goals, judgement-free mock interviews, and even has an AI video character to help you practice.
NEW ON THE SITE
How to Improve Your AI Agent: A Guide for Founders
By Pranav Raja, Co-founder, and CTO of Foundry.
As AI becomes increasingly embedded in business operations, more founders are adopting agents—automated systems powered by large language models (LLMs) or task-specific components.
However, launching an agent is just the beginning. Continuous improvement is key to ensuring it delivers real value. Here’s a practical, non-technical guide to setting up a robust evaluation and improvement process for your AI agent.
Overheard in the discourse
Amazon levels up in the AGI arms race
“Amazon’s cloud computing arm Amazon Web Services Tuesday announced plans for an “Ultracluster,” a massive AI supercomputer made up of hundreds of thousands of its homegrown Trainium chips, as well as a new server, the latest efforts by its AI chip design lab based in Austin, Texas.”
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