• These three brothers scammed their investors out of $233 million. Then they lived like kings
• How Qatar hacked the World Cup
  Critics who threatened to expose wrongdoing by Qatar were targeting as part of huge hacking operation
• Tech’s Talent Wars Have Come Back to Bite It
  Hiring the best, the brightest and the highest number of employees was a badge of honor at tech companies. Not anymore as layoffs surge.
• Why Are Young People Pretending to Love Work? (Published 2019)
  I saw the greatest minds of my generation log 18-hour days — and then boast about #hustle on Instagram. When did performative workaholism become a lifestyle?
• Best Inventions 2022 | Time
• Phonak Audéo Fit: The 200 Best Inventions of 2022 | TIME
  Hearing aids get fit
• GitHub – NVlabs/instant-ngp: Instant neural graphics primitives: lightning fast NeRF and more
• Instant NeRF Wins SIGGRAPH Best Paper, Inspires Creators | NVIDIA Blog
• NVIDIA Instant NeRF: The 200 Best Inventions of 2022 | TIME
• Harmonization
  The many successes of deep neural networks (DNNs) over the past decade have largely been driven by computational scale rather than insights from biological intelligence. Here, we explore if these trends have also carried concomitant improvements in explaining visual strategies underlying human object recognition. We do this by comparing two related but distinct properties of visual strategies in humans and DNNs: where they believe important visual features are in images and how they use those features to categorize objects. Across 85 different DNNs and three independent datasets measuring human visual strategies on ImageNet, we find a trade-off between DNN top-1 categorization accuracy and their alignment with humans. State-of-the-art DNNs are progressively becoming less aligned with humans. We rectify this growing issue by introducing the harmonization procedure: a general-purpose training routine that aligns DNN and human visual strategies while improving object classification performance.
• Metaphor
  Web search hasn’t changed in 20 years. We’re building a new search engine from scratch, using the same ideas behind DALL-E and Stable Diffusion. It understands language — in the form of prompts — so you can say what you’re looking for in all the expressive and creative ways you can think of. And, if we’re lucky, it might make the internet feel a little less like a wall of ads.
• Egypt’s COP27 summit app is a cyber weapon, experts warn – POLITICO
  Western security advisers are warning delegates at the COP27 climate summit not to download the host Egyptian government’s official smartphone app, amid fears it could be used to hack their private emails, texts and even voice conversations.

  Policymakers from Germany, France and Canada were among those who had downloaded the app by November 8, according to two separate Western security officials briefed on discussions within these delegations at the U.N. climate summit.

• Inside the Twitter meltdown
  Elon is speaking. VPs are resigning. Is bankruptcy next?
• Cloud-native Bioinformatics: HPC to GCP | by Lynn Langit | Medium

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