Readit NewsLike what? Deepseek?
> The researchers used epigenetic clocks to assess biological aging - sophisticated tools that identify patterns of DNA methylation, chemical tags that affect gene activity and shift predictably with age
Deleted Comment
Deleted Comment
It's like using an LLM to implement a red black tree. Red black trees are in the training data, so you don't need to explain or describe what you mean beyond naming it.
"Real engineering" with LLMs usually requires a bunch of up front work creating specs and outlines and unit tests. "Context engineering"
https://www.bloomberg.com/news/articles/2024-06-12/apple-to-...
- https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...
- https://www.theregister.com/2025/06/29/ai_agents_fail_a_lot/
But more importantly, it makes you stupid:
- https://www.404media.co/microsoft-study-finds-ai-makes-human...
And it's an unsustainable bubble and wishful thinking, much like crypto:
- https://dmitriid.com/everything-around-llms-is-still-magical...
So while it may be a fun toy for senior devs that know what to look for, it actually makes them slower and stupider, making them progressively less capable to do their job and apply critical thinking skills.
And as for juniors — they should steer clear from AI tools as they can't assess the quality of the output, they learn nothing, and they also get critical thinking skills impaired.
So with that in mind — Who is the product (LLM coding tools) actually for, and what is its purpose?
I'm not even going into the moral, ethical, legal, social and ecological implications of offloading your critical thinking skills to a mega-corporation, which can only end up like https://youtu.be/LXzJR7K0wK0
- print publications built reputations of spans of time that the internet still hasn't existed for, earning greater trust and authority, and helping to establish shared cultural touchstones and social cohesion
- copyright was clearer and more meaningful, piracy was more difficult
- selling physical copies and subscriptions was a more stable revenue source for creators and publishers than the tumult of selling ads in the 21st century
And all of this was nothing in the face of "receiving pages of text. Faster than one could read"
Also, when you step back and look at a few of those incremental improvements together, they're actually pretty significant.
But it's hard not to roll your eyes each time they trot out a list of meaningless benchmarks and promise that "it hallucinates even less than before" again