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LLMs Are Weird Computers

Honeycomb

Phillip goes over the different ways that LLMs fit the definition of computers - and why he now refers to them as "inverted" computers.

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Blogs Honeycomb

BlogsIt Can Only Goodhart HappenHoneycomb BlogsCan Claude Code Observe Its Own Code?Honeycomb BlogsVisualizing Session Flow With HoneycombHoneycomb BlogsEnhancements to Honeycomb Telemetry Pipeline Deliver Greater Visibility, Smarter Control, and LowerHoneycomb BlogsUnleash SaaS Data With the Webhookevent ReceiverHoneycomb BlogsThere Is Only One Key Difference Between Observability 1.0 and 2.0Honeycomb BlogsHow Ramp automated receipt processing with fine-tuned LLMsModal BlogsHow AI Assistants Can Decode GitHub Repos for UI WritersDocker BlogsHow to structure documentation for both AI and human readersMintlify BlogsSuperGLUE: Understanding a Sticky Benchmark for LLMsDeepgram BlogsChatGPT: Putting the “AI” in “Plagiarism” worldwide?Deepgram BlogsWhat is RetoolGPT? How we built an internal AI assistantRetool BlogsJust Enough SQL to Safely Use AI for Data AnalysisMotherduck ResourcesApple Safari - Glossary | MDNDeveloper Mozilla BlogsCerebras 2024 Predictions for Generative AI, LLMs, and HPCCerebras BlogsFree llms.txt generator: create AI-optimized documentation filesMintlify LearnEverything you need to know about Voice AI AgentsDeepgram BlogsNew Study Identifies 53 Slopsquatting Targets Across 5 Frontier LLMsSocket BlogsAgent architecture: How AI decision-making drives business impactRetool Resourcesllms.txt - MintlifyMintlify