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@wraithe@mastodon.social
2026-05-15 18:01:45

Also worth noting that cellular/mobile phones still provided an actual working service.
Yes there were trade-offs, but the core functions that people wanted were there.
beige.party/@FeloniousPunk/116

@kexpmusicbot@mastodonapp.uk
2026-04-16 00:44:16

🇺🇦 #NowPlaying on KEXP's #DriveTime
Flyying Colours:
🎵 Goodtimes
#FlyyingColours
flyyingcolours.bandcamp.com/tr
open.spotify.com/track/5OK5Ayd

@Techmeme@techhub.social
2026-05-17 04:50:55

Filings: in Q1, Trump traded $220M-$750M in NVDA, MSFT, AMZN, META, ORCL, and others; millions of dollars of NVDA were bought shortly before major news (Kevin Breuninger/CNBC)
cnbc.com/2026/05/15/trump-stoc

@zudn@theres.life
2026-06-16 00:07:17

7 but each one short.
#blogging

@berlinbuzzwords@floss.social
2026-05-15 13:08:43

Flink gets talked about a lot. Where does it actually make a difference? Naci Simsek is at #bbuzz26 to share real-world cases where Apache Flink solved concrete, hard problems in production.
Learn more: 2026.berlinbuzzwords.de/sessio

@servelan@newsie.social
2026-04-15 15:33:38

UK:
Afghan women fleeing Talbian denied protection as asylum approvals collapse - Canary
thecanary.co/global/world-news

@cowboys@darktundra.xyz
2026-05-16 22:21:34

Dak Prescott Shares Strong Feelings on Cowboys Rookie Caleb Downs heavy.com/sports/nfl/dallas-co

@marcel@waldvogel.family
2026-05-16 04:55:24

"With so much focus historically on spacecraft being made from the lightest, strongest and most heat-resistant materials available, it may seem counterintuitive to intentionally make some materials weaker. The key is making materials smarter, so they maintain their strength during their mission but weaken under the heat of reentry."

@memeorandum@universeodon.com
2026-04-16 20:15:56

Trump DOT yanks $73M funding from NY for 'failing' to vet foreign truck drivers (New York Post)
nypost.com/2026/04/16/us-news/
memeorandum.com/260416/p96#a26

@Techmeme@techhub.social
2026-05-15 15:35:50

A profile of AI video generation startup Runway, which is training models directly on observational data, is now valued at $5.3B, and added $40M in ARR in Q2 (Rebecca Bellan/TechCrunch)
techcrunch.com/2026/05/15/runw