Bilingual

Recreating the Bell Labs Cafeteria
10 days ago
- Claude AI is named after Claude Shannon, with Bell Labs' collaborative cafeteria culture highlighted as a model.
- The text worries that AI's proficiency might isolate human collaboration, losing the serendipity of Bell Labs-style random conversations.
- It argues that while AI excels at execution, human creativity remains essential until artificial superintelligence (ASI) emerges.
- The solution proposed is to use AI to offload execution work, freeing humans to focus on human-to-human interaction akin to the Bell Labs cafeteria.
No, an AI cannot know the future and never will..
9 days ago
- AI cannot know the future because it relies on human-captured event chains which are incomplete, high-resolution, finite, and limited.
- Human modalities (like text, images) only capture some event chains, often with differing perspectives, resolutions, and arbitrary endpoints, making AI predictions flawed.
- Future AI might try to capture all event chains with a reality sensor array, but faces challenges like the cold start problem, infinite universe size, and self-prediction recursion.
- If AI succeeds in predicting the future by merging with reality, it ceases to exist, highlighting that knowing the future is equivalent to death.
- In a creative context, the author urges breaking free from self-judgment, comparing with idols, and creating original content without paralysis by analysis.
Falsities of LLM Negationists
3 days ago
- The claim that LLM-generated works are not owned by the human creator is deeply flawed, ignoring the creative effort involved in prompting, editing, and curating outputs.
- This reasoning dehumanizes authors by treating their contributions as irrelevant unless proven otherwise, unlike traditional creative tools like cameras or instruments.
- Uncertainty about copyright status (e.g., public domain or third-party ownership) is insufficient to deny authorship; actual evidence of infringement or trivial contribution is required.
- The author compares such skepticism to conspiracy theories, where doubt replaces evidence and shifts the burden of proof onto the creator.
- Key factors in determining authorship include the human's control over final form, such as selection, transformation, and arrangement, not merely the use of an LLM.
- Denying authorship defaults to confiscating rights from the actual creator, harming individual authors more than large entities.
<antirez>
7 hours ago
- The author uses LLMs routinely for coding but notes they are still far behind human intelligence.
- The example involves fixing a bug in Redis Vector Sets: checking reciprocal links in HNSW graphs to avoid use-after-free errors.
- A naive O(N^2) reciprocal check doubled loading time; Gemini suggested binary search on sorted pointer arrays.
- The author proposed a more creative XOR accumulator with a hashed key using a random seed to detect non-reciprocal links efficiently.
- Gemini helped analyze the XOR approach but couldn't generate the original idea, highlighting human creativity's edge over LLMs.
- The author concludes that while LLMs are useful as a 'smart duck' for discussion, humans still excel at out-of-the-box thinking.

human creativity

Recreating the Bell Labs Cafeteria

No, an AI cannot know the future and never will..

Falsities of LLM Negationists

<antirez>