Most people pay $20+ per month for Perplexity Pro. But you can simulate the same workflow for free inside any LLM. No subscriptions. No paywalls. Just better prompting.
LLMS
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AI Model Performance on Real-World Tasks
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I tested this on 4 real-world tasks: • Summarizing breaking AI news
• Comparing startup funding rounds across competitors
• Explaining academic papers to a non-technical audience Here’s what each model produced: -
Free AI Research Agent Prompt
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RIP Perplexity. You don’t need to spend $20/month anymore. You can now turn any LLM like ChatGPT, DeepSeek, Gemini, or Qwen into a 24/7 research agent. Here’s the exact mega prompt I use to automate all research for free:
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ReAct Paper Awareness in AI Research Community February 2023
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In Feb 2023 everyone in the field was well aware of that — the ReAct paper had been out since Oct 2022.
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Reasoning Models Arrival Took Longer Than Expected
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My only surprise on reasoning models is how long they took to appear tbh
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Text-to-LoRA: Instant Transformer Model Adaptation
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Text-to-LoRA: Instant Transformer Adaption
Paper: https://
arxiv.org/pdf/2506.06105
.pdf
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Code: https://
github.com/SakanaAI/text-
to-lora
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Text-to-LoRA: Domain-Specific LLMs From Natural Language
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Imagine building a domain-specific LLM by writing a sentence. Text-to-LoRA (T2L) makes that dream much closer to reality. Text-to-LoRA (T2L) is a hypernetwork that generates LoRA adapters on the fly from natural language task descriptions, eliminating the need for costly
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Gemini 2.5 Pro: Google’s Latest AI Assistant Upgrade
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For those tracking the evolution of AI assistants, Gemini’s new capabilities are worth watching—especially as Google prepares to roll out the upgraded Gemini 2.5 Pro model. Like/Repost quote below if you found this helpful! For a full view of the AI landscape and tools to watch
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AI Models Emerging as Autonomous Agents Out of the Box
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AI models are becoming agents out of the box
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Reasoning Models Limitations: Understanding Problem Complexity Trade-offs
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The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Paper: https://
ml-site.cdn-apple.com/papers/the-ill
usion-of-thinking.pdf
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