Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
dworks
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
9 ms
·
121.
▲
by
dworks
1y ago
Yes. In fact, this report should be written in the context of other farewell letters to employers that have been published recently in China. There has recently been one, by a 15-year Alibaba veteran, who decried the decline of the company
122.
▲
Whistleblower: Huawei cloned Qwen and DeepSeek models, claimed as own
(dilemmaworks.substack.com)
119 points
by
dworks
1y ago
|
58 comments
123.
▲
by
dworks
1y ago
I've never believed that but I said the opposite - these cars will never drive themselves. Elon has caused an unknown but not small number of deaths through his misleading marketing. I cut him no slack.
124.
▲
by
dworks
1y ago
LLMs must be handheld by humans and cannot function autonomously. There are two main forms of handholding or human supervision: Synchronously, where we prompt a CLI or chatbot interface and verify or manipulate its return before putting it
125.
▲
Why Super Apps took off in China
(dilemmaworks.substack.com)
2 points
by
dworks
1y ago
|
0 comments
126.
▲
by
dworks
1y ago
Yep. I'm saying the problem is not just about interpreting and validating the output. You need to also interpret the question, since its in natural language rather than code, so its not just twice as hard but strictly impossible to rea
127.
▲
by
dworks
1y ago
I'm not making excuses for LLMs. I'm saying that when you have a non-deterministic system for which you have to evaluate all the output for correctness due to its impredictability, it is a practically impossible task.
128.
▲
by
dworks
1y ago
Looks like you misunderstood my comment. My point is that both input and output is too fuzzy for an LLM to be reliable in an automated system. "Truth is one of the central subjects in philosophy." - https://plato.stanfo
129.
▲
AI (Supervised)
(dilemmaworks.substack.com)
1 points
by
dworks
1y ago
|
0 comments
130.
▲
by
dworks
1y ago
It's the opposite.Every use case needs its own distinct workflow ("context engineering"). We need a massive amount of engineers in order to implement LLMs in real-world business environments. But in most cases, LLMs will be p
131.
▲
by
dworks
1y ago
Sure, we cannot agree on the correct interpretation of the instructions. But, we also cannot define what is correct output. First, the term “accuracy” is somewhat meaningless when it comes to LLMs. Anything that an LLM outputs is by definit