I often rant about how 99% of attention is about to be LLM attention instead of human attention. What does a research paper look like for an LLM instead of a human? It’s definitely not a pdf. There is huge space for an extremely valuable “research app” that figures this out.
LLMS
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Fundamental LLM Limitation: No Clear Solution Path
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This is the fundamental limitation of LLMs for which there isn't a clear path to solving.
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ChatGPT Prompt Engineering: 7 Actionable Tricks to Boost AI Results
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New video! ChatGPT Hacks: 7 Tricks to Instantly Boost Your AI Results Struggling to get nice, reliable answers from ChatGPT or other LLMs? Here's a 15-minute video that walks through the seven most actionable prompt engineering moves you can start using today:
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Grok 4 Delivers Strong Results for Product Growth Strategy
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First Grok 4 impressions: It’s really, really smart. We were just using it to come up with product growth ideas in a team meeting. Fed it tons of @nikitabier content, and asked it to figure out what he would do if he were in our shoes. The results were really great! The model is
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AI Breakthroughs: Five Years of Scaling Evolution
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AI breakthroughs in the last 5 years are all defined by finding the right axis to scale up 2021: scaling model parameters 2022: scaling data / tokens 2024: scaling inference time compute / CoT
2025: scaling ai researcher comp -
vLLM V1 Hybrid Cache Support Coming Soon
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We will add support soon, it's still W.I.P. due to the how hybrid cache support is handled by vLLM V1.
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Grok 4 Launch Reveals Critical AI Model Development Trends
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The reason the Grok 4 launch is interesting isn't because this model is so great that you should drop everything and use it instead (it isn't). It's interesting because of what it tells us about model trends. What we've learned:
– Grok 4 had no extra pre-train compute compared -
Complete Guide to Building an Agent with LangChain
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Read the full guide https://
blog.langchain.com/how-to-build-a
n-agent/?utm_medium=social&utm_source=twitter&utm_campaign=q3-2025_how-to-build-agent_co
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Merged Experts in MoE: Coordination Without Joint Training
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all experts are merged into an MoE. The anchor model ensures that all experts learn to coordinate, even though they are never trained on the joint dataset. this is rocket science wtf
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Grok 4 Now Available in Cursor IDE
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Grok 4 is available in Cursor! We're curious to hear what you think.