Prompt: "Futuristic AI news podcast intro. Data transmission sounds, digital pulses at 128 bpm. Bass drop with notification ping. Tomorrow's technology today"
can be used for:
→ AI/Tech podcasts
→ Daily news briefings
They quietly dropped a feature that might reshape how songs are made.
• Studio Mode for end-to-end creation
• Voice Launcher trained on my voice
• AI agent that actually suggests good ideas
This is what surprised me most: 🧵
1/ Tried the new update from @ProducerAI today.
Studio Mode actually made it easier to get ideas out...no jumping between tools, no blank page stress.
I used the AI agent to shape a basic structure, added a melody, and tested the voice launcher with my own vocal tone. It worked better than I expected.
Not perfect, but it felt like something I’d use again when I want to sketch song ideas quickly.
Worth a try if you’re experimenting with AI in music.
2/ Studio Mode: Arrange, edit, and export music in one space
Voice Launcher: Train your own AI voice in minutes
Agent: Suggests melodies, chords, structure in real-time
It felt like jamming with a co-producer that doesn’t sleep.
A tiny AI model called HRM just beat Claude 3.5 and Gemini.
It doesn’t even use tokens.
They said it was just a research preview.
But it might be the first real shot at AGI.
Here’s what really happened and why OpenAI should be worried: 🧵
2/ Sapient Intelligence is a Singapore-based AI research startup focused on creating brain-inspired reasoning systems. They recently dropped HRM - a brain-inspired AI model that doesn’t think in tokens.
HRM (Hierarchical Reasoning Model) uses multi-timescale recurrence - a structure inspired by how humans reason, not how language models complete sentences.
One loop handles fast decisions. Another refines ideas over time. Together, they think, not just complete.
3/ Most AI models today "think" by writing one word at a time.
That’s called chain-of-thought.
It looks smart but if it makes a mistake early, everything after falls apart.
It’s fragile. It’s slow. And it’s not real thinking.
HRM works differently.
It doesn’t think out loud. It thinks silently like your brain.
Instead of writing words, it keeps ideas inside and improves them over time.
This is called chain-in-representation. A whole new way of reasoning.
Anthropic Academy just released free online courses.
No payment required.
Here are 6 courses you don't want to miss in 2025:
1/ Claude with Anthropic API
What you'll learn:
- Handle API requests and responses for Claude models
- Implement dialogues, streaming, and structured outputs
- Systematically build and test prompts
- Create tools and integrate Claude with external services
- Design RAG systems using hybrid search and reranking
- Use MCP to link Claude to data sources
- Understand workflows and agent architectures
- access Claude models on AWS Bedrock using boto3
- enable multi-turn chats, streaming, and data extraction
- develop/test prompts with automated scoring
- create tools and manage workflows
- design RAG systems with chunking and hybrid search
- connect Claude to services via MCP servers
- use Claude Code for automation and parallel tasks
- optimize prompt caching and image processing
- implement automated testing and UI interactions