2) This is partly VC's fault but governments are their own worst enemies on digital transformation. Slow procurement, low risk tolerance, and reliance on lame incumbents. This makes it very hard to build sustainable new defense businesses.
MARKET TRENDS
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Digital Era Ends Salaried Work as Top Talent Leaves Companies
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@NicolasDOZE le vrai sujet c'est la fin du salariat avec le tabou que c'est les plus compétents qui quittent le salariat (thèse de Ronald Coase avec baisses des coûts dû au numérique). Danger pour les entreprises avec ceux qui restent.
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AI Revolution Transforming FMCG and Retail Industries
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Curious about the AI-driven revolution in FMCG & retail sectors? Discover how Artificial Intelligence is reshaping the industry landscape, boosting sales, optimising inventory, & creating personalised experiences: https://
rb.gy/hx533 -
ChatGPT Revolution: Economist Nicolas Bouzou’s Key Insights
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Excellente synthèse des bouleversements induits par #ChatGPT par @nbouzou Nicolas Bouzou est l’un des TRÈS rares économistes qui a compris cette révolution
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Ginni Rometty Discusses AI Growth and Impact
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Former IBM CEO Ginni Rometty on the tremendous growth and impact of artificial intelligence.#AI #stem #machinelearning #nlp #iot #genai #hr #AIethics #chatgpt #openai #jobs #futureofwork #aiforgood pic.twitter.com/unE93CWVm3
— Sean Gardner (@2morrowknight) 25 mai 2023Former IBM CEO Ginni Rometty on the tremendous growth and impact of artificial intelligence. #AI #stem #machinelearning #nlp #iot #genai #hr #AIethics #chatgpt #openai #jobs #futureofwork #aiforgood
→ View original post on X — @2morrowknight, 2023-05-25 03:57 UTC
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Generative AI and the Future of Creative Jobs
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Generative #AI and The Future of Creative #Jobs https://
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AI Startups Automating Legal Paperwork Attract Major Investment
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Money pours into #AI startups that save countless hours of legal paperwork https://
semafor.com/article/05/24/
2023/investors-back-ai-startups-that-save-hours-of-legal-paperwork
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AI adoption expected to follow internet growth trajectory but faster
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trying to get a better sense of what the coming wave of AI might look like… one perspective: in 1996, 36m people used the internet; in 2023 it is 5 billion. that’s the kind of trajectory we should expect for AI tools, only much, much faster.
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Apple PyTorch Support Could Reshape AI Model Development
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Realistically the biggest wild card would be some kind of extensive PyTorch support from Apple, which could alter model development workflows—but would not break Nvidia’s grip on foundation models.
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Foundation Models Converging on Nvidia Hardware Dependency
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Foundation model developers—including at least one beyond Google/FB/OpenAI that I know of—will all be relying on Nvidia hardware going forward. The OSS/smaller model devopers might swerve (maybe w/ Apache TVM) but will also most likely rely on cuda-enabled hardware.