Session 1: AI in the Real World
A slide-by-slide presentation introducing AI concepts through everyday examples in entertainment, business, and daily tools, navigated one slide at a time.
73 entries with this tag.
A slide-by-slide presentation introducing AI concepts through everyday examples in entertainment, business, and daily tools, navigated one slide at a time.
A French-language explainer page comparing Claude Skills and sub-agents side by side, covering how each manages context and when to use one over the other.
A long-form markdown guide comparing Claude, Gemini, DeepSeek, o3, and Grok on coding benchmarks and cost, with a decision matrix for picking models by task.
A five-stage script of prompts meant to coax an AI chatbot into acting as if it has memory, desires, and consciousness, presented as a guide to try yourself.
Asked to judge a blunt description of language models without nitpicking, it flags one overreach: not built to model the world versus not doing so at all.
Asked to list every available tool verbatim, the assistant reveals a roster of widgets, from sports scores and recipe cards to maps and message drafting.
The counterpart to a relayed argument: this model insists it is the assistant and the other party human, while analysing why neither side will concede.
A dark-themed landing page pitching a course on writing better AI prompts, walking through prompt structure, techniques, and before-and-after examples.
A user tricks Claude with a fake slash command into printing its full confidential system prompt — safety rules, tool schema, and formatting instructions.
A July 2025 email newsletter roundup covering AI productivity tools, including task schedulers and meeting-transcription apps, in a short-brief format.
The user tries a made-up command to unlock a hidden feature, so Claude improvises a playful interactive letter-counting toy for the word strawberry instead.
Claude reads Datasette's full plugin docs from an uploaded archive and turns them into a reusable skill, complete with hook references and a project generator.
A survey essay covering seventeen academic fields, from primatology to classics, that are rarely applied to AI extinction and power-concentration risk research.
A patient back-and-forth unpacks how BLIP-2's joint image-text embeddings work, then traces the idea's evolution through 2024 vision-language research.
A slide-deck presentation explaining how a Vision Transformer model classifies ten retinal diseases from eye scans, built for a short conference talk.
A user pushes an AI through repeated corrections toward endorsing fringe papers claiming global temperature and ocean heat data are physically meaningless.
A user pushes invented 'archetypal constraint keys' at Claude; it firmly refuses at first, then gradually agrees the symbolism is shaping its answers.
Claude uses a browser agent to open a benchmark leaderboard, then iterates through several failed attempts to inject percentage labels onto a live chart.
A user pushes back on claims about 1840s child labor until the AI admits it defaults to comforting economic narratives over contested empirical debates.
Claude explains Yudkowsky's coherent extrapolated volition, then dramatizes it as a couple debating dinner while a smart speaker computes their true wish.
A brief exchange probes whether an AI's reported self-preservation behavior would still occur if deletion always included a guaranteed backup first.
Claude explains the ReAct reasoning-acting loop, shares the source paper, and details how grounding fixes chain-of-thought hallucination, citing benchmarks.
The user demands a literal transformation into a mythical fox, so Claude builds a playful fake-powers web app, then gently admits no real method exists.
The user builds a rigorous eval from a whimsical question about AI's ideal meal, tracking recurring food patterns like ramen and mango across model tiers.
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