Thibaud Colas :django:
thibaudcolas@fosstodon.org
<p>Volunteer <span class="h-card" translate="no"><a href="https://fosstodon.org/@django" class="u-url mention">@<span>django</span></a></span>, core team <span class="h-card" translate="no"><a href="https://fosstodon.org/@wagtail" class="u-url mention">@<span>wagtail</span></a></span>, engineering <span class="h-card" translate="no"><a href="https://mastodon.social/@torchbox" class="u-url mention">@<span>torchbox</span></a></span>. Accessibility, AI, security, climate action</p>
Posts
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@mirandah @django @jacob from one of Jacob’s interviews, https://www.youtube.com/watch?v=EqcuzSwySR4
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#DjangoLondon quiz time!
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RE: https://chaos.social/@carlton/116412998544478902 for the #DjangoConEurope attendee wondering about AI’s energy use / carbon footprint when coding - check out Neuralwatt: https://portal.neuralwatt.com/. You can code with Kimi K2.5 and benchmark exactly how much energy all your agentic engineering is using
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RE: https://fosstodon.org/@wagtail/116413291652019616 Months of research to arrive at the answer - the footprint of one AI inference query is roughly equivalent to one website pageview. Now we can extrapolate and figure out what to optimize!
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“Plato would have loved it” - @EvilDMP on the Django docs. strong endorsement there! #DjangoCon
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Step-by-step how to get a visa for DjangoCon Africa 2025 🇹🇿 ✨ https://thib.me/visa-to-djangocon-africa You can do it! Took 11 days for me, so there’s plenty of time still! #Django