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rockinghigh

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rockinghigh
·13 日前·議論
The US is also falling behind Chinese manufacturing. They had to ban Chinese cars because legacy American automakers couldn't compete.
rockinghigh
·29 日前·議論
Same here, I fine tune LLMs for specific use cases. How can I trust Anthropic models not to introduce bugs to preserve their moat?
rockinghigh
·29 日前·議論
Imagine if your IDE started injecting bugs into your project just because your code looked like it implemented a competing IDE.
rockinghigh
·2 か月前·議論
Consumers don't control zoning laws or risk mitigation details.
rockinghigh
·2 か月前·議論
Gemini tends to be faster and the Flash and Flash Lite models outperform ChatGPT's equivalent models.
rockinghigh
·2 か月前·議論
It may be a push from advertisers who want access to this format. Google Search competes for their money against the competition.
rockinghigh
·2 か月前·議論
They own tons of engagement data associated with that index from being the default search engine on most devices.
rockinghigh
·2 か月前·議論
Why wouldn't getting more customers the plan? Anthropic doesn't acquire companies to have a lower market share. There is clearly a consolidation and a rush to get as much of the developer market as possible.
rockinghigh
·3 か月前·議論
The MoE experts are quantized to int4, all other weights like the shared expert weights are excluded from quantization and use bf16.
rockinghigh
·3 か月前·議論
They could release data to back up that claim.
rockinghigh
·3 か月前·議論
Are there any protections from industrial espionage when using Anthropic, Cursor, Gemini, or OpenAI?
rockinghigh
·3 か月前·議論
Their revenue was $57.4 billion last year. Just in Q4; cloud revenue $6.7 billion, cloud infrastructure $3.0 billion, cloud application $3.7 billion, Fusion Cloud ERP $1.0 billion, NetSuite cloud ERP $1.0 billion.
rockinghigh
·4 か月前·議論
It's the number of attempts at answering the question.
rockinghigh
·4 か月前·議論
He founded the team that worked on fasttext, llama and other similarly impactful projects.
rockinghigh
·4 か月前·議論
He founded FAIR and the team in Paris that ultimately worked on the early Llama versions.
rockinghigh
·4 か月前·議論
It can also be used to simplify existing code bases.
rockinghigh
·5 か月前·議論
It's a lot simpler. These models are not optimized for ambiguous riddles.
rockinghigh
·5 か月前·議論
How is this riddle relevant to a coding model?
rockinghigh
·5 か月前·議論
They do. Pretty much all agentic models call linting, compiling and testing tools as part of their flow.
rockinghigh
·5 か月前·議論
It's called problem decomposition and agentic coding systems do some of this by themselves now: generate a plan, break the tasks into subgoals, implement first subgoal, test if it works, continue.