N_Lens

10 ms·

301.
by N_Lens 8mo ago
Most of the crap in moltbook is manufactured, the goal is to drive hype and engagement (As usual).
302.
by N_Lens 8mo ago
I need this on Reddit and Hackernews /s
303.
by N_Lens 8mo ago
The reward for working hard is more hard work.
304.
by N_Lens 8mo ago
I think in this era of slop we'll need curators for curators.
305.
by N_Lens 8mo ago
Good scam, also has crypto smartcontracts integrated so pretty on the nose.
306.
by N_Lens 8mo ago
Either you intentionally misunderstood his point and deflected or you honestly seem to think this way. In either case, you misapprehended what he meant.
307.
by N_Lens 8mo ago
Misinformation on HN? Well, I never!
308.
by N_Lens 8mo ago
For those curious - Flirt is an incremental code review tool.
309.
by N_Lens 8mo ago
Looks like a TOS violation to me to scrape google directly like that. While the concept of giving a text only model 'pseudo vision' is clever, I think the solution in its current form is a bit fragile. The SerpAPI, Google Custom S
310.
by N_Lens 8mo ago
I think this philosophy is leading us to the realm of hungry ghosts - a hell realm in Buddhism where craving is everpresent and satisfaction and contentment aren't to be found.
311.
by N_Lens 8mo ago
This is a good article and should be more visible. A lot of people experience this kind of bill shock with cloud services, and I feel like it's a bit of a trap for many nontechnical or semi-technical people because the onboarding is so
312.
by N_Lens 8mo ago
AI slop article
313.
by N_Lens 8mo ago
I think this trend of writing in the second person needs to mature into a more accurate first person account. It’s an immature human tendency to universalise one’s experience, and it takes maturity to see that situations are different from
314.
by N_Lens 8mo ago
HN is full of AI agents hype posts. I am yet to see legitimate and functional agent orchestration solving real problems, whether it is scale or velocity.
315.
by N_Lens 8mo ago
HN is full of AI agents hype posts. I am yet to see legitimate and functional agent orchestration solving real problems, whether it is scale or velocity.
316.
by N_Lens 8mo ago
Good link, I can see that I typically consume 150-300mg daily (A bit on the high side).
317.
by N_Lens 8mo ago
Context: Apple recently added ads to their iWork suite, which triggered backlash and a spate of negative reviews crashing the rating down to 2 stars. This poster noticed +1k positive reviews posted in a space of 24 hours, boosting the ratin
318.
Apple Manipulation? After crashing down to 2 stars, +~1k reviews on iWork(old.reddit.com)
2 points by N_Lens 8mo ago|1 comments
319.
by N_Lens 8mo ago
I don’t know about the Japanese political landscape enough to say much about this, but I do know that cost of living is crushing people here. Takaichi is very popular but is a right wing politician. From my reading of history, right wing po
320.
by N_Lens 8mo ago
Next we’ll need prove_prove_it!
321.
by N_Lens 8mo ago
LLMs work better in codebases with less tech debt. Especially as a codebase grows, LLMs can get lost in dead code and red herrings, so I don’t think the fundamental assumption of this article holds true, atleast not in the size of codebases
322.
by N_Lens 8mo ago
America has gone very wrong.
323.
by N_Lens 8mo ago
I guess I better sell my bitcoin and short TSLA instead!
324.
by N_Lens 8mo ago
What an unengaging and verbose article.
325.
by N_Lens 8mo ago
May you find your ‘R’ in your ninth year!
326.
by N_Lens 8mo ago
Gandhi*
327.
by N_Lens 8mo ago
I matured as an Engineer using various CI tools and discovering hands-on that these tools are so unreliable (pipes often failing inconsistently). I am surprised to find that there are better systems, and I'd like to learn more.
328.
by N_Lens 8mo ago
I see WSJ has minimal factual credibility at this point, but still interesting to see them throwing random articles at the wall to see what sticks.
329.
by N_Lens 8mo ago
I guess HN has started to drown in LLM slop.
330.
by N_Lens 8mo ago
Smells more like hype than substance, entire article has vague sounding platitudes and lacks the specificity necessary to make 'self improving agents' work. Reads like low effort AI slop.

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