⚡🔋 Ilya Sutskever has raised $1 billion to AI systems safer for you

And more: You can get you AI security certification thanks to ProtectAI, Sedric takes care of the compliance issues in the finance industry in real time

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OpenAI co-founder Sutskever's new safety-focused AI startup SSI raises $1 billion

Safe Superintelligence (SSI), co-founded by OpenAI's former chief scientist Ilya Sutskever, has raised $1 billion to develop safe AI systems surpassing human capabilities. Key points include:

  • SSI valued at $5 billion, with only 10 employees currently

  • Funds to be used for computing power and top talent acquisition

  • Investors include Andreessen Horowitz, Sequoia Capital, DST Global, and SV Angel

  • Focus on building a small, highly trusted team in Palo Alto and Tel Aviv

  • Emphasis on AI safety and preventing potential harm from advanced AI

  • Regular for-profit structure, unlike OpenAI's unorthodox setup

  • Plans to partner with cloud providers and chip companies for computing needs

  • Sutskever to approach AI scaling differently from OpenAI

The significant funding highlights ongoing investor interest in foundational AI research, despite a general waning in the sector. SSI's launch and substantial backing underscore the growing importance of AI safety in the tech industry. Read more

Google expands AI-powered virtual try-on tool to include dresses

Google has expanded its AI-powered virtual try-on tool to include dresses, allowing users to virtually try on dresses from various brands. This update improves the tool’s ability to handle the complexities of dress patterns and designs, using a new technique called VTO-UNet Diffusion Transformer (VTO-UDiT) for more accurate portrayals. The technology helps shoppers visualize how dresses will look on them, supporting better online shopping experiences. Competing companies like Amazon and Walmart have similar tools, but Google aims to stand out with this more advanced solution. Read more

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Protect AI launches free MLSecOps Foundations course for AI security certification

Protect AI has launched a free four-part MLSecOps Foundations course, designed to teach AI and ML users, developers, and security teams how to build security into AI and machine learning lifecycles. The course includes 20 modules covering AI security threats and strategies for implementing security using the MLSecOps framework. Participants will learn to secure ML models, assess risks, and implement incident response plans, earning certification upon completion. Led by industry expert Diana Kelley, the program aims to address emerging AI threats and vulnerabilities. Read more

📔#1 Insights Today on AI. Click the Links to Read

AI is not just about creating intelligent machines, it's about using technology to enhance our understanding of intelligence itself.

Judea Pearl

Judea Pearl is an Israeli-American computer scientist and philosopher, best known for championing the probabilistic approach to artificial intelligence and the development of Bayesian networks. He is also credited for developing a theory of causal and counterfactual inference based on structural models.

ZipRecruiter has unveiled ZipIntro, an innovative AI-powered tool designed to streamline the hiring process by automatically matching and scheduling introductory calls between employers and potential candidates. This new feature allows employers to input job details and select a time slot for introductory calls, after which ZipIntro uses AI to match them with suitable candidates and send invitations.

The AI matching process considers factors such as employment history, education, skills, certifications, interests, and job preferences. Employers can review candidate responses, conduct further screening, and arrange back-to-back video calls directly on the platform. These intro sessions typically last 30 minutes to an hour, with each call taking about five minutes.

ZipIntro boasts rapid results, with employers receiving their first candidate RSVP within 20 minutes of posting a job requirement. The tool aims to accelerate the hiring process and allow job seekers to showcase their personality and soft skills more effectively.

As the job market embraces AI, ZipRecruiter joins other platforms like Indeed and LinkedIn in leveraging technology to enhance recruitment processes. These advancements reflect a growing trend towards more efficient, AI-assisted hiring practices across the industry.

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Sedric: AI-Powered Compliance Monitoring for Financial Institutions

Key Points:

  1. Company Overview:

    • Sedric is an AI-powered platform designed to help financial institutions implement compliance rules and flag potential issues.

    • Founded by Nir Laznik and Eyal Peleg, both with backgrounds in tech and AI.

  2. Core Functionality:

    • Monitors workforce communications across various channels (calls, chats, emails, social media, instant messages).

    • Flags compliance problems in real-time.

    • Can automatically mitigate issues and provide coaching to staff.

  3. Technology:

    • Uses generative AI and fine-tuned models trained on proprietary datasets.

    • Includes features to minimize bias and allow for customer feedback and model retraining.

  4. Privacy and Security:

    • Allows companies to configure data storage locations and implement controls to redact personal information.

  5. Market Position:

    • Focused specifically on financial institutions, setting it apart from general workplace monitoring competitors.

    • Claims "hundreds" of paying customers in the U.S. and Europe.

  6. Funding:

    • Raised $18.5 million in a Series A round led by Foundation Capital, with participation from Amex Ventures.

    • Total funding now at $22 million.

  7. Growth Plans:

    • Aims to double headcount in the next 12 months.

    • Will focus on expanding go-to-market and R&D teams in NYC and Tel Aviv.

Industry Context:

  • Financial services firms are facing increasing compliance costs, averaging around $10,000 per employee.

  • 76% of firms increased compliance expenditure from 2022 to 2023, largely due to new regulations.

Challenges and Considerations:

  • Potential concerns about employee privacy and intrusiveness of monitoring.

  • Need to balance compliance requirements with ethical considerations in AI deployment.

This platform represents a growing trend of using AI to address complex regulatory challenges in the financial sector, potentially reducing costs while improving compliance accuracy.

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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.

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