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  1. Hace 1 día · The Lazarus team is glad to announce the release of Lazarus 3.4 | Hacker News. The Lazarus team is glad to announce the release of Lazarus 3.4 (freepascal.org) 10 points by mariuz 1 hour ago | hide | past | favorite | discuss.

  2. Hace 2 días · But if you develop something non-standard (like a Lazarus LCL or Delphi VCL / FMX application using TCastleControl) then you may prefer to manage the project yourself, manually. That’s cool too, engine will work perfectly, you will just have to activate some features explicitly, like starting logging (by InitializeLog ) or debug features (by ApplicationProperties.InitializeDebug ).

  3. Hace 1 día · From the Parable of the Rich Man & Lazarus to the Story of the Rich Young Ruler: “Holy Church of Christ without Christ” We turn our attention now from a Parable of Jesus to an actual event. And here, as it were, in an object lesson we see in reality the life of the Rich Man on display.

  4. Hace 1 día · Daily macOS FPC + Lazarus snapshots (Cocoa - 64 bit - Intel and ARM64) IGNORE THE BIG GREEN DOWNLOAD BUTTON: choose file in Files area These macOS snapshots of the development branches are generated automatically. All I can say is that the compiler found the source good enough to compile. YOU ARE USING COMPLETELY UNTESTED SOFTWARE. Caveat ...

  5. Hace 13 horas · Crypto folks (hopefully) already know that Lazarus is one of the most prevalent threat actors targeting this industry. They rekt more people, companies, protocols than anyone else. But it's good to know exactly how they get in. Bc another smart contract audit won't save you. For example, one long-time fave method: - Contact employee via social ...

  6. When the world locks into a never-ending time loop that will ultimately end with the planet's complete extinction, the Lazarus team must race against time to find a solution before humanity is wiped out forever.

  7. Hace 3 días · We present Lazarus, a system for resilient and elastic training of MoE models. Lazarus adaptively allocates expert replicas to address the inherent imbalance in expert workload and speeds-up training, while a provably optimal expert placement algorithm is developed to maximize the probability of recovery upon failures.

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