Perplexity Pro just became the best $20/month I spend. I use it for market research, trend analysis, and competitive intelligence. Here are 12 prompts that replaced my $500/month research subscriptions:
MACHINE LEARNING
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The challenge of model transparency and black box neural networks
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Yeah, they open sourced it, but most of the work is done by a neural network and they didn't share the weights of that. So it's still 2/3rds a black box. And that black box is changing every month (I think it actually is changing faster than that).
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Test-Time Learning: RL Discovers Solutions During Inference
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Learning to Discover at Test Time This paper TTT-Discover shows that by replacing best-of-N prompting with RL at test time on a continuous verifiable reward (via LoRA), it can learn from its own attempts and reliably push past the prior performance. The “learn-while-solving”
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Humans and Machines Optimizing Reality Together
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Humachineology aims to inspire creativity and innovation in shaping reality by optimizing the role of humans and machines.
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Limitations of Intelligence: Laplace’s Gremlin and Irreducibility
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New blog post on some of the intuitions I have on ways of describing limitations on intelligence. https://
inverseprobability.com/2026/01/25/lap
laces-gremlin-and-irreducibility
… It also links to a new arXiv paper that continues to look at the inaccessible game … a sandbox for idea formalisation. -
Programmer’s passion for the new AI-powered world
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i always loved programming but am loving the new world even more
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DataAISummit: Showcase Your Data Engineering and AI Impact
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Speaking at #DataAISummit is a great way to showcase your impact, build credibility, and advance your career. If you’re working on real problems in data engineering, analytics, or AI, this is a chance to share your work with peers and grow your voice in the community. We’re
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Steal this prompt to turn any LLM into a context engineering expert
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Steal my prompt to turn any LLM into a context engineering expert
— God of Prompt (@godofprompt) 24 janvier 2026
Embeds:
→ Anthropic’s official research
→ arXiv taxonomy (1400+ papers)
→ Chroma’s context rot data
→ Claude Code production patterns
Here’s the prompt 👇 pic.twitter.com/S7bLZWSYRNSteal my prompt to turn any LLM into a context engineering expert Embeds:
→ Anthropic’s official research
→ arXiv taxonomy (1400+ papers)
→ Chroma’s context rot data
→ Claude Code production patterns Here’s the prompt -
Free Beginner’s Guide to Machine Learning Fundamentals
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A free beginner’s guide to machine learning: https://
bit.ly/45Ho2rS v/
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Qwen3-TTS Open-Source Real-Time Voice Stack Released
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Qwen3-TTS just cracked open-source TTS! Qwen3-TTS turns a Qwen3 LM into an instruction-steerable real-time voice stack by jointly training a speaker encoder + a dual-track text/acoustic token backbone Under the hood, it uses hierarchical multi-token prediction over RVQ