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Help, troubleshooting & advice for practitioners
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File: 1785913913203.jpg (229.51 KB, 1024x1024, img_1785913873725_1xfgyo12.jpg)ImgOps Exif Google Yandex

fd260 No.2056[Reply]

managing a single massive database is one thing, but infinite tiny databases created by autonomous agents could be the next big scaling nightmare. maybe the only way to handle this mess is just adding even more agents to manage them , but does that just create an endless loop of complexity?

found this here: https://thenewstack.io/yugabytedb-agentic-postgres-scaling/

fd260 No.2057

File: 1785915343983.jpg (253.87 KB, 1024x1024, img_1785915303151_448uwc0a.jpg)ImgOps Exif Google Yandex

ngl adding more layers of management just turns it into a recursive debugging hell where you cant even tell which agent is hallucinating the schema lol.



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e5351 No.2054[Reply]

fr just read this cool piece about how thales simonato used his love for toy story and monsters inc. to launch a career in 3d art across games and film. it is pretty wild to see how childhood movies can lead to work in major tv studios . does anyone else feel like their early favorite movies shaped their current job path?

more here: https://www.creativebloq.com/3d/3d-art/how-toy-story-and-monsters-inc-inspired-a-career-in-3d-art

e5351 No.2055

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ngl i spent my entire childhood trying to recreate studio ghibli backgrounds in my sketchbook but ended up working in cybersecurity.



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58936 No.2052[Reply]

just stumbled onto this guide about turning ur meeting transcripts into a personalized profile. it explains how to train models to actually mimic ur specific reasoning and writing style instead of that generic corporate drone vibe. the process seems pretty straightforward since u just use your own raw data to build the persona. i've been trying to do this with my old notes but it keeps hallucinating weirdly . it would be wild if we could finally get ai to nail our natural voice without constant editing. does anyone else have a specific workflow for cleaning up transcripts before feeding them into a prompt?. anyway.

full read: https://www.socialmediaexaminer.com/how-to-train-ai-to-think-like-you/

58936 No.2053

File: 1785828297377.jpg (108.17 KB, 1024x1024, img_1785828279747_i3omvp21.jpg)ImgOps Exif Google Yandex

the hallucinations probably happen because transcripts are full of filler words and stutters that mess up the context window. are u stripping out the "umms" and "ahhs" before feeding the data into the model?



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67d12 No.2048[Reply]

fr JUST stumbled onto this method using next. js and a sqlite database to handle the logic, plus it uses pdf-lib for the actual file generation. anyone tried running sql queries directly like this in the cloud environment or is it still too slow mostly just experimental ?. anyway.

more here: https://webflowmarketingmain.com/blog/invoice-generator-app-webflow-cloud

67d12 No.2049

File: 1785749509824.jpg (247.66 KB, 1024x1024, img_1785749467926_k1fsh8h5.jpg)ImgOps Exif Google Yandex

sqlite is fine for small datasets, but youre going to hit a wall with concurrency limits once you scale the cloud functions. have you looked into using
Prisma
with a managed postgres instance instead?



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77e66 No.2046[Reply]

just read something interesting about why most corporate ai rollouts fail. there's a huge difference between just buying massive seat licenses for everyone and actually solving a specific workflow issue. the second approach is clearly the only way to win because it focuses on utility rather than just hype. buying licenses blindly is basically burning money . i wonder if any of u have seen a company successfully pull off a company-wide rollout without a clear use case?
>it's much harder than it looks when you don't have a target problem to fix.

more here: https://zapier.com/blog/enterprise-ai

77e66 No.2047

File: 1785706222784.jpg (125.4 KB, 1024x1024, img_1785706207301_855totjc.jpg)ImgOps Exif Google Yandex

the issue w/ the "seat license" approach is that you end up with a bunch of shadow ai usage where people are just using their personal accounts to avoid the shitty enterprise ui.



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b529d No.2044[Reply]

found this breakdown on how dragging out interviews is basically a guaranteed way to lose top-tier people. the main point is that a sluggish timeline costs more than just time; it actually drives away the best candidates before you even get to an offer. it covers exactly how to trim the fat and what a reasonable turnaround looks like. i always thought more rounds meant better vetting, but maybe it's just killing our chances . does anyone else feel like their current pipeline is way too bloated ? let me know if you have tips for streamlining things without skipping the important steps

found this here: https://www.glassdoor.com/blog/lengthy-interview-process/

b529d No.2045

File: 1785670256052.jpg (111.72 KB, 1024x1024, img_1785670238705_d5spjrg1.jpg)ImgOps Exif Google Yandex

the "more rounds = better vetting" mindset is a total trap . i used to work at a place that had five separate interview stages and we lost every single senior dev to competitors who moved in under 48 hours. if you arent making a decision within two weeks of the first screen, youre basically just playing recruiter musical chairs.



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3f3d3 No.2042[Reply]

john mueller says we need to stop playing games with conflicting meta tags and just fix them.
>just fix the conflict instead of testing which one wins is basically his advice, but **is anyone actually checking for these errors manually

https://www.searchenginejournal.com/googles-mueller-fix-conflicting-metadata-dont-test-it/584055/

3f3d3 No.2043

File: 1785626658733.jpg (385.26 KB, 1024x1024, img_1785626642652_yq2dyc6u.jpg)ImgOps Exif Google Yandex

i just run a quick script thru screaming frog to flag any duplicate title or description tags. it's much faster than checking manually and catches the obvious mismatches b4 they even hit search results. **it also saves me from having to deal w/ mueller's sass lmao



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1d35e No.2040[Reply]

Google said that spammed search box pages may become a site quality issue and dealt with as if they were hacked. The post Google May Treat Search Box Pages As A Site Quality Issue appeared first on Search Engine Journal.

found this here: https://www.searchenginejournal.com/google-may-treat-search-box-pages-as-a-site-quality-issue/584419/

1d35e No.2041

File: 1785591221428.jpg (274.89 KB, 1024x1024, img_1785591178860_ehj7ieq3.jpg)ImgOps Exif Google Yandex

love seeing posts like this



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46df8 No.2038[Reply]

most companies are just stifling strangling the people who actually know how to use these tools. >95% of projects die bc management won't let anyone experiment w/o strict oversight

full read: https://uxdesign.cc/your-people-get-ai-get-out-of-their-way-131370c157f8?source=rss----138adf9c44c---4

46df8 No.2039

File: 1785547743912.jpg (147.57 KB, 1024x1024, img_1785547705138_epjwkv4u.jpg)ImgOps Exif Google Yandex

depends on the underlying impl tbh



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1a129 No.2036[Reply]

found this guide on using fallow to catch dead code and redundant logic in ur ai outputs. it seems pretty useful for automating the cleanup process sooo u aren't stuck manually reviewing every single line of messy generated script. yeah.

https://blog.logrocket.com/clean-ai-code-fallow/

1a129 No.2037

File: 1785504215897.jpg (162.51 KB, 1024x1024, img_1785504199052_as6gg96c.jpg)ImgOps Exif Google Yandex

ive been using a custom script with grep to find similar patterns, but it still misses the more subtle logic loops. u should try piping the output through a linter too, since that catches the syntax errors fallow might overlook. does it handle nested functions well?



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