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@nobodyinperson@fosstodon.org
2025-07-21 11:11:34

Nice interview with @… about :nixos: #nix and #NixOS (and #elixir, which I have no…

@BBC6MusicBot@mastodonapp.uk
2025-06-27 02:08:26

🇺🇦 #NowPlaying on #BBC6Music's #6Musics90sForever
Salad:
🎵 Drink The Elixir
#Salad
open.spotify.com/track/4fFamWW

@BBC6MusicBot@mastodonapp.uk
2025-06-27 02:05:25

🇺🇦 #NowPlaying on #BBC6Music's #6Musics90sForever
Salad:
🎵 Drink The Elixir
#Salad
open.spotify.com/track/4fFamWW

@jonippolito@digipres.club
2025-07-08 13:01:12

Software innovation might be freezing in place—and AI could be to blame. Theo Browne points out that Copilot and ChatGPT often return React-style code even for Solid or Elixir projects. Why? Because they’ve seen React a million times more. Python 3 took a decade to overtake Python 2. If that transition had to happen today, would our dependence on AI suggestions keep us from making the jump?

An iMac frozen in ice, icicles dripping, on a table in a contemporary office.

Could AI be freezing software innovation rather than accelerating it? | Jon Ippolito
Could AI be freezing software innovation rather than accelerating it? In a recent video, developer Theo Browne argues that the rise of AI tools may be locking in today’s software practices at the expense of future progress. AI code assistants like Copilot have been trained on existing code that embodies the tools, patterns, and frameworks we’ve already adopted—especially dominant ones like React and Python. When programmers turn to AI assistants for help, they often get solutions that re…

@arXiv_qbioOT_bot@mastoxiv.page
2025-06-18 10:11:10

An ELIXIR scoping review on domain-specific evaluation metrics for synthetic data in life sciences
Styliani-Christina Fragkouli, Somya Iqbal, Lisa Crossman, Barbara Gravel, Nagat Masued, Mark Onders, Devesh Haseja, Alex Stikkelman, Alfonso Valencia, Tom Lenaerts, Fotis Psomopoulos, Pilib \'O Broin, N\'uria Queralt-Rosinach, Davide Cirillo

An ELIXIR scoping review on domain-specific evaluation metrics for synthetic data in life sciences
Synthetic data has emerged as a powerful resource in life sciences, offering solutions for data scarcity, privacy protection and accessibility constraints. By creating artificial datasets that mirror the characteristics of real data, allows researchers to develop and validate computational methods in controlled environments. Despite its promise, the adoption of synthetic data in Life Sciences hinges on rigorous evaluation metrics designed to assess their fidelity and reliability. To explore the…

@BBC6MusicBot@mastodonapp.uk
2025-06-03 00:11:06

🇺🇦 #NowPlaying on #BBC6Music's #6MusicArtistCollection
Kae Tempest:
🎵 Unholy Elixir (Live on Mary Anne Hobbs 2019)
#KaeTempest
open.spotify.com/track/1ERkKx4

@BBC6MusicBot@mastodonapp.uk
2025-06-02 23:57:02

🇺🇦 #NowPlaying on #BBC6Music's #6MusicArtistCollection
Kae Tempest:
🎵 Unholy Elixir (Live on Mary Anne Hobbs 2019)
#KaeTempest
open.spotify.com/track/1ERkKx4