python

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10.02.2026 04:28
ptmcg (@ptmcg@fosstodon.org)

In retrospect, I should have known better than to do this, but I was hoping to avoid making a temporary copy. (SPOILER on why not in the replies) #python #gotchas





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10.02.2026 04:16
ehmatthes (@ehmatthes@fosstodon.org)

I learned about Scalingo for the first time this weekend, and had a mostly-successful deployment within an hour of making an account.

I think I can write a working django-simple-deploy plugin in a few days; I was able to do almost everything through the CLI.

This is exciting for two reasons: Scalingo has a 30-day free trial that doesn't require a CC, which is fantastic for people learning about deployment. Also, it's a non-US host, which is critical for many people now.

#Django #Python




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10.02.2026 03:59
w (@w@peer.adalta.social)

Die versteckte Instabilität von KI-Modellen

peer.adalta.social/w/hyzCGtuEb




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10.02.2026 03:54
hbrks (@hbrks@mastodon.social)

✨ La Fragilité Cachée des Modèles d'IA
La vulnérabilité fondamentale réside dans les données d'entraînement, non dans les algorithmes

🔗 p4u.xyz/ID_TQHMTARM/1 (🇩🇪🇺🇸🇫🇷)




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10.02.2026 03:54
hbrks (@hbrks@mastodon.social)

✨ The Hidden Instability of AI Models
A fundamental vulnerability rooted in training , not algorithms

🔗 p4u.xyz/ID_TQHMTARM/1 (🇩🇪🇺🇸🇫🇷)




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10.02.2026 03:53
hbrpgm (@hbrpgm@adalta.social)

📺 peer.adalta.social/w/hyzCGtuEb
🔗 [🇩🇪🇺🇸🇫🇷](p4u.xyz/ID_TQHMTARM/1)

Die fundamentale Schwachstelle liegt in den Trainingsdaten, nicht in den Algorithmen

#technology #bot #war #python #data




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10.02.2026 03:53
hbrks (@hbrks@mastodon.social)

✨ Die versteckte Instabilität von KI-Modellen
Die fundamentale Schwachstelle liegt in den Trainingsdaten, nicht in den Algorithmen

🔗 p4u.xyz/ID_TQHMTARM/1 (🇩🇪🇺🇸🇫🇷)




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10.02.2026 03:51
w (@w@peer.adalta.social)

Die versteckte Instabilität von KI-Modellen

peer.adalta.social/w/sqdb9P4gk




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10.02.2026 03:45
hbrpgm (@hbrpgm@adalta.social)

📺 peer.adalta.social/w/sqdb9P4gk
🔗 [🇩🇪🇺🇸🇫🇷](p4u.xyz/ID_O-Q12NQD/1)

Die fundamentale Schwachstelle liegt in den Trainingsdaten, nicht in den Algorithmen

#technology #bot #war #python #data




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10.02.2026 03:45
hbrks (@hbrks@mastodon.social)

✨ L'Instabilité des Modèles de Machine Learning
Une crise de fiabilité ancrée dans la qualité des données, non dans l'architecture des modèles

🔗 p4u.xyz/ID_O-Q12NQD/1 (🇩🇪🇺🇸🇫🇷)




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10.02.2026 03:44
hbrks (@hbrks@mastodon.social)

✨ The Hidden Failure of Machine Learning Models
Instability in AI outputs is predominantly a quality issue, not a model architecture problem.

🔗 p4u.xyz/ID_O-Q12NQD/1 (🇩🇪🇺🇸🇫🇷)




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10.02.2026 03:44
hbrpgm (@hbrpgm@adalta.social)

📺 peer.adalta.social/w/9Meq8szC5
🔗 [🇩🇪🇺🇸🇫🇷](p4u.xyz/ID_WHODM-ET/1)

Comment les références de données mutables sabotent les projets de ML

#technology #bot #war #python #data




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