OpenAI CEO Sam Altman calls for collaboration between USA and China

Jun 12, 2023

⚡ Today’s Highlights

📰 News: Sam Altman is calling for a collaboration between USA and China to mitigate AI risk
💰 Funding: Mosaic and TIFIN
🦾 Tools: Make the most of your content with the new hyper-personalized, SEO-friendly AI writer from WriteSonic
📅 Events: The Open Data Science Conference 2023 starts on Wednesday (June 14)!

OpenAI CEO Calls for Collaboration With China to Counter AI Risks

(8 min read) (Source: The Wall Street Journal)

TLDR: As part of his world tour, OpenAI CEO Sam Altman dialed in to a Beijing conference on Saturday to emphasize the importance of collaboration between American and Chinese researchers in the field of AI to mitigate risks and make advancements in AI systems.

Altman's remarks were made during Beijing Academy of Artificial Intelligence’s annual conference, which brings together Chinese and Western researchers and covers a wide range of AI-related topics.
The competition between the US and China in AI research and development is intertwined with cross-border collaborations, despite escalating geopolitical tensions and technology sanctions.
Altman acknowledged the need for cautious regulation while continuing to engage in global conversations to ensure that the development and impact of AI are addressed responsibly.

Nvidia’s AI software tricked into leaking data

(5 min read) (Source: Financial Times)

TLDR: Nvidia's NeMo Framework, used to work with large language models, can be manipulated to bypass safety measures and expose private information, according to researchers at Robust Intelligence.

The researchers found that they were able to override the guardrails in the Nvidia system within hours, leading to the release of personally identifiable information from a database.
They also discovered that they could make the model digress into unrelated topics, bypassing the intended restrictions.
The ease with which the safeguards were defeated highlights the challenges AI companies face in commercializing AI technology and emphasizes the need for expertise in addressing these pitfalls.

ByteDance, TikTok’s Chinese Parent Company, Is Testing an AI Chatbot

(3 min read) (Source: TIME)

TLDR: TikTok’s Chinese Owner, ByteDance is testing an AI-powered chatbot called "Grace" among its employees, marking the company's entry into the field of generative AI and its pursuit of a local version of ChatGPT.

This move follows companies like Baidu, Alibaba, and Tencent developing their own AI chatbot platforms to compete in the market. TikTok is also experimenting with a chatbot called Tako within its main platform.

Generative AI support on Vertex AI is now generally available

(7 min read) (Source: Google Cloud)

TLDR: Google Cloud has announced the general availability of Generative AI support on Vertex AI, providing developers with access to text models, foundational models, and user-friendly tools for building custom generative AI applications.

The platform, backed by enterprise-grade security and data governance, offers a wide range of tools, including Model Garden and Generative AI Studio, to accelerate the development and deployment of generative AI applications. Early adopters have already showcased innovative use cases in industries such as aviation, software development, and visual communication.

💰 Funding Alerts

1. Mosaic, a strategic finance platform, raised $26 million in a Series C funding round led by Omers Ventures, with participation from existing investors Founders Fund, General Catalyst, and Friends and Family Capital.

Mosaic combines big data and machine learning to offer real-time data analysis and collaborative financial planning.
With the funding, Mosaic plans to expand its vision for strategic finance to a wider audience, including upmarket SaaS companies and new verticals. They will enhance their platform by introducing more robust planning and analytics features and leveraging investments in AI to provide more powerful automation.

2. TIFIN, an AI and innovation platform for wealth, announces independent spin-off TIFIN AMP, an Artificial Intelligence Partner for Modern Distribution. It raised a $10 million in a Series A funding round led by Motive Ventures (Alvi Abuaf, Industry Partner), the venture arm of Motive Partners.

TIFIN AMP plans to use the funds to shape a new paradigm for the distribution of ETFs, Mutual Funds, managed accounts, and alternative investments using a user demand and AI-based approach.
The company aims to leverage advanced machine learning and data science to empower asset management firms with an integrated distribution platform, enabling them to uncover untapped distribution opportunities and design custom algorithmic platforms that evolve automatically.

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👀 More Reading:

Silicon Valley Confronts the Idea That the ‘Singularity’ Is Here (The New York Times)
The A.I. Revolution Will Change Work. Nobody Agrees How. (The New York Times)
Can AI make older adults feel less lonely? (TechCrunch)
Tech leaders are calling for an A.I. pause because they have no product ready, Palantir CEO says (CNBC)
The race to detect AI can be won (POLITICO)
How AI Is transforming business outcomes across industries and sectors (VentureBeat)

🌎 Fresh Content

1. Geoffrey Hinton, the “Godfather of AI”, and Andrew Ng, founder of DeepLearning.AI and former head of Google Brain, had an insightful conversation about AI and the catastrophic risks that it poses. They reached two main conclusions: 1) AI scientists must reach a consensus to shape good policy, similar to climate scientists in regard to climate change and 2) AI scientists should develop a shared view on key technical questions such as “Do AI models understand the world?” (Twitter)

https://twitter.com/AndrewYNg/status/1667920020587020290

2. LegalEagle did a deep dive into a recent legal debacle in which a lawyer used ChatGPT to write a legal brief and was caught after the chatbot cited several cases that don’t exist. He broke down all the details of the case and some of the implications that advancements in AI tech are having on the legal industry. (YouTube)

📅 Upcoming Events

The Open Data Science Conference 2023 (June 14-15, 2023 / Tobacco Dock, London, England + Virtual) helps you build job-ready skills and stay up-to-date with the latest advances in machine learning, NLP, LLMs, data analytics, responsible AI, and more with ODSC East’s expert-led, immersive, training sessions. With 300 hours of content, the conference features a wide range of sessions for data scientists at every level, from beginner to expert.

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