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- ⚡🔋 Microsoft's AI Star Jumps Ship to OpenAI
⚡🔋 Microsoft's AI Star Jumps Ship to OpenAI
And more: Nvidia just hit another record high; Google Signs Deal with Kairos Power for Nuclear Micro-Reactors
Supercharged With AI
October 15, 2024
Good morning, aspiring leader of the next generation! ☀️
🚀 Here is the most impactful AI news today. Enjoy and we wish you an amazing day:
OpenAI poaches Microsoft's generative AI research lead. The AI talent carousel keeps spinning - place your bets on the next surprise move!
Adobe unveils Firefly's video generator, urging us to 'embrace the tech'. Hollywood, brace for impact - the robots are coming for your Oscars.
Nvidia stock hits another record high. Printing money is easier when you're making AI chips.
Gladia bets big on real-time audio transcription. Because waiting 0.5 seconds for your transcript is so last year.
Concourse is building AI to automate financial tasks. Soon, even your spreadsheets will have an existential crisis.
A new AI scam targets Gmail users with fake account recovery. Scammers are evolving - now with added artificial intelligence!
OpenAI snatches up Microsoft generative AI research lead
In a significant move that highlights the intense competition for AI talent, Sebastian Bubeck, Microsoft's Vice President of generative AI research, has left the tech giant to join OpenAI. This transition, first reported by The Information and confirmed by Reuters, marks a notable shift in the AI research landscape.
Key points:
Sebastian Brubeck's role: Known for his work on Microsoft's Phi models, a series of small-scale language and vision models designed for edge devices.
Significance of Phi models: These models aim to push AI applications to edge devices, enabling quick, private, and offline operations.
Potential impact on OpenAI: Bubeck's expertise could boost OpenAI's capabilities in developing efficient, small-scale models - an area where the company is currently less prominent.
Industry trends: This move reflects the growing importance of on-device AI models as alternatives to large, centralized models like GPT-4o.
OpenAI's strategy: While Bubeck's specific role at OpenAI remains undisclosed, it's likely he'll focus on efficiency and small-model development.
Implications for the AI industry:
Talent competition: Highlights the fierce battle for top AI researchers among tech giants and AI-focused companies.
Shifting focus: Indicates a growing emphasis on edge AI and efficient, small-scale models across the industry.
Microsoft's loss: Potentially impacts Microsoft's edge AI research and development efforts.
OpenAI's gain: This could significantly enhance OpenAI's capabilities in developing more efficient and versatile AI models.
Future of AI: Suggests a trend towards more diverse AI applications, balancing large-scale models with efficient, specialized ones.
This high-profile move underscores the dynamic nature of the AI research field and the strategic importance companies place on acquiring top talent. As the competition in AI development intensifies, such talent shifts could play a crucial role in shaping the future direction of AI technology and its applications.
The industry will be watching closely to see how this move affects both Microsoft's and OpenAI's AI strategies and products in the coming months.
Adobe invites you to ’embrace the tech’ with Firefly’s new video generator
Adobe has launched new video generation capabilities for its Firefly AI platform. Key points include:
Users can now test a text-to-video model and an image-to-video model on Adobe's website, producing up to 5 seconds of AI-generated video.
A new Generative Extend feature in Premiere Pro beta can extend video clips by up to 2 seconds, including background audio.
Adobe is focusing on AI editing features rather than full video generation to cater to its creative user base.
The company is trying to balance innovation with concerns from creatives about AI replacing their work.
Adobe is paying photographers and artists for content used to train Firefly and includes "AI-generated" watermarks in video metadata.
The platform is designed to generate "commercially safe" media, avoiding content with drugs, nudity, violence, or copyrighted materials.
Adobe's VP of generative AI encourages creatives to embrace AI technology as a tool to enhance productivity and meet growing content demands.
The launch represents Adobe's effort to compete in the AI video space while maintaining its relationship with professional creatives.
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Nvidia, the AI chipmaker, just hit another record high
Nvidia's stock reached a new record high on Monday, closing at $138.07. The AI chipmaker's shares have surged nearly 180% this year, reflecting its dominant position in the AI chip market. Key points include:
Nvidia now controls 70% to 95% of the AI chip market, according to Mizuho Securities estimates.
With a market cap of $3.4 trillion, Nvidia is now the second-most valuable U.S. company, behind only Apple.
CEO Jensen Huang's net worth has risen to an estimated $121.5 billion.
The company is seeing high demand for its upcoming Blackwell chips, set to launch in Q4.
Morgan Stanley reports that Blackwell chips are already sold out for the next 12 months.
Wall Street is anticipating earnings updates from major tech companies regarding their AI infrastructure spending, which could further impact Nvidia's stock.
The company's continued growth and market dominance suggest that its impressive stock performance may continue in the near future.
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Joanna Joy Bryson is a professor at Hertie School in Berlin. She works on Artificial Intelligence, ethics, and collaborative cognition. She has been a British citizen since 2007.
⬆️ ️ Trends: How Businesses Implement AI
Google Signs Deal with Kairos Power for Nuclear Micro-Reactors
Key Points:
The Deal:
Google to build 7 small nuclear reactors with Kairos Power
Total capacity: ~500 megawatts of carbon-free electricity
Planned completion: By 2030
Context:
Follows similar moves by Microsoft and Amazon
Addresses surging energy demand for data centers and AI
Kairos Power Technology:
Small Modular Reactors (SMR)
Uses molten salt cooling instead of water
35-megawatt demonstration reactor approved by NRC
Challenges:
Ambitious 2030 timeline (previously targeted "early 2030s")
No commercial SMRs commissioned yet
Economics remain unproven
Public opinion on nuclear power still mixed (56% favor, 44% opposed)
Industry Context:
Traditional nuclear plants face delays and cost overruns
SMRs aim for faster, cheaper construction through mass production
Competition from fusion startups targeting pre-2035 operation
Implications:
Potential shift in data center power sourcing
Could accelerate SMR development and adoption
May impact renewable energy adoption rates
This deal represents a significant move in the tech industry's pursuit of carbon-free energy sources, but faces technological, economic, and public opinion challenges.
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I hope you find these resources helpful. Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.
Have an amazing day!
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