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Apple Suspends AI News Summaries After Accuracy Issues Surface

Colossal Biosciences Secures $200M for De-Extinction Efforts

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Top story: Apple has temporarily suspended its AI-generated news summary feature following a series of inaccurate and misleading notifications.

_ _ _ _ _ _ _ _ _ _ _ _

  1. πŸ“Š Apple Suspends AI News Summaries After Accuracy Issues Surface

  2. πŸ“ž How to Automate business calls with Auto Calls AI?

  3. πŸ’° Colossal Biosciences Secures $200M for De-Extinction Efforts

  4. πŸ”₯ Trending AI Automation Tools

  5. πŸš€ OpenAI Ventures into Longevity Science with Retro Biosciences

πŸ•’ Estimated Reading Time: 5 minutes

Apple Suspends AI News Summaries After Accuracy Issues Surface

What's happening?

Apple has temporarily suspended its AI-generated news summary feature following a series of inaccurate and misleading notifications. This decision comes after mounting criticism from news organizations and press freedom groups regarding the feature's tendency to generate false information.

πŸ” Essential Details:

  • Widespread feature suspension: Apple has disabled notification summaries for news and entertainment apps across multiple platforms, including the latest beta versions of iOS 18.3, iPadOS 18.3, and macOS Sequoia 15.3, indicating the seriousness of the issue.

  • Significant misrepresentations: The feature had misrepresented headlines from various reputable news outlets, including BBC, Sky News, and The New York Times, raising concerns about the reliability of AI-generated content summaries.

  • Critical errors in sensitive topics: Notable errors included false reports about a murder suspect's suicide and incorrect sports results, highlighting the potential real-world consequences of AI-generated misinformation.

  • Planned refinement and reintroduction: Apple plans to reintroduce the feature after refining it and implementing improvements, demonstrating the company's commitment to addressing the issue rather than abandoning the technology.

  • Enhanced transparency and user control: The company will now display AI-generated summaries in italics and allow users to disable the feature for specific apps directly from the lock screen, providing greater transparency and control over AI-generated content.

🧐 Why It Matters:

This incident highlights the ongoing challenges in deploying AI for content curation and summarization. It underscores the importance of accuracy and reliability in AI-generated information, especially in the context of news dissemination. Apple's response demonstrates the need for tech companies to remain vigilant and responsive to concerns about AI-generated content.

How to Automate business calls with Auto Calls AI?

Step 1: Sign Up and Log In

  1. Visit the Autocalls.ai website.

  2. Create an account by signing up with your business email or log in if you already have an account.

  3. Verify your email if prompted.

Step 2: Set Up Your Business Profile

  1. Navigate to Profile Settings:

    • Go to the Settings or Business Profile section.

  2. Add Business Information:

    • Fill in your business name, contact details, and any other necessary information.

    • Upload your company logo for branding purposes (optional).

  3. Configure Caller ID:

    • Choose a dedicated business number or integrate an existing number to appear as the caller ID for automated calls.

Step 3: Define Call Campaign Objectives

  1. Identify Use Cases:

    • Decide the purpose of your calls (e.g., customer feedback, appointment reminders, marketing campaigns, collections, or lead generation).

  2. Prepare Call Scripts:

    • Write a concise, professional script for your calls. Autocalls.ai allows dynamic fields like <CustomerName> to personalize messages.

Step 4: Upload Contact Lists

  1. Go to the Contacts or Campaigns section.

  2. Upload CSV/Excel File:

    • Ensure your file includes columns like Name, Phone Number, Email (if needed), and any other relevant data fields.

    • Map the columns correctly (e.g., assign the "Phone Number" column to the phone number field).

  3. Segment Your Contacts:

    • Organize your contacts into groups or segments based on demographics, interests, or previous interactions.

Step 5: Create an Automated Call Campaign

  1. Access Campaigns:

    • Navigate to the Campaigns tab and click Create New Campaign.

  2. Choose Campaign Type:

    • Select from pre-built templates or create a custom campaign. Common options include:

      • Voice Broadcast: Send pre-recorded messages to a list of contacts.

      • Interactive Voice Response (IVR): Allow recipients to respond via keypad (e.g., "Press 1 to confirm").

      • Scheduled Calls: Reminders or follow-ups at specific times.

  3. Set Up Call Flow:

    • Use the drag-and-drop interface to design the call workflow. Include:

      • Call introduction.

      • Dynamic variables (e.g., "Hello <CustomerName>").

      • Responses or actions (e.g., "Press 1 to connect").

  4. Upload Voice Messages:

    • Record a message or use the built-in Text-to-Speech (TTS) feature to create voice content.

  5. Schedule or Launch:

    • Choose a schedule for your campaign (immediate or future start).

    • Review and launch.

Step 6: Configure Call Settings

  1. Set Call Retries:

    • Define how many retries should be made for unanswered calls.

  2. Time Zones and Call Limits:

    • Ensure calls are made within business hours of the recipient's time zone.

  3. Enable Call Recording (Optional):

    • Record calls for quality assurance or legal compliance.

Step 7: Integrate with CRM or Tools

  1. API Integration:

    • Use Autocalls.ai's API to integrate with your CRM (e.g., Salesforce, HubSpot) for seamless data flow.

  2. Zapier Integration:

    • Automate workflows by connecting Autocalls.ai to tools like Slack, Google Sheets, or Trello.

  3. Webhooks:

    • Set up webhooks to trigger real-time updates in your system.

Step 8: Monitor and Optimize Campaigns

  1. Track Metrics:

    • Use the Dashboard to monitor key metrics like:

      • Number of calls made.

      • Call duration.

      • Conversion rates.

      • Customer responses.

  2. Analyze Call Data:

    • Download reports for deeper insights into performance.

  3. A/B Testing:

    • Test different scripts, call times, or voice tones to optimize engagement.

Step 9: Comply with Legal Requirements

  1. Consent Management:

    • Ensure you have recipients' consent for automated calls.

  2. DND (Do Not Disturb):

    • Filter out numbers registered under "Do Not Disturb" lists.

  3. Data Security:

    • Follow GDPR, CCPA, or other regional regulations for data privacy.

Step 10: Expand and Automate Further

  1. Automate Follow-Ups:

    • Schedule automatic follow-up calls or emails based on call outcomes.

  2. Use Advanced Features:

    • Implement AI-based sentiment analysis for call quality.

    • Enable multi-language support for diverse audiences.

β€” β€” β€” β€” β€” β€” β€”

Colossal Biosciences Secures $200M for De-Extinction Efforts

Overview:

Colossal Biosciences, the ambitious biotech startup aiming to resurrect extinct species, has raised $200 million in Series C funding, bringing its valuation to a staggering $10.2 billion. This latest investment round, led by TWG Global, marks a significant milestone in the company's quest to bring back long-lost creatures like the woolly mammoth.

πŸ” Key Details:

  • Unprecedented valuation growth: Colossal's valuation has skyrocketed from $1.5 billion just two years ago, reflecting the growing investor confidence in de-extinction technology and its potential applications.

  • Multi-species de-extinction portfolio: The company is simultaneously working on three flagship de-extinction projects: the woolly mammoth, Tasmanian tiger (thylacine), and dodo bird, demonstrating the breadth of their ambitions in resurrecting diverse extinct species.

  • Technological breakthroughs driving investment: Colossal attributes the massive funding to significant progress across all three projects, suggesting tangible advancements in genetic engineering and cloning technologies.

  • Expansion of research and development: The investment will support team growth, new technological developments, and an expanded list of species targeted for de-extinction, potentially accelerating the pace of breakthroughs in this field.

  • Innovative genomic approach: Colossal's approach involves mapping entire genomes of extinct species and comparing them to their closest living relatives, pushing the boundaries of genomic research and synthetic biology.

πŸ€“ Why It's Important: 

This unprecedented funding and valuation demonstrate growing confidence in de-extinction technology. If successful, Colossal's work could revolutionize conservation efforts and potentially restore lost ecosystems, while also advancing genetic engineering technologies with far-reaching implications for biodiversity and human health.

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  4. Living Comments

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  5. Superjoin.ai

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OpenAI Ventures into Longevity Science with Retro Biosciences

  • Specialized AI model for biological research: OpenAI has trained a new AI model called GPT-4b micro in collaboration with Retro Biosciences, specifically designed to tackle complex biological problems.

  • Focus on cellular reprogramming: The model focuses on re-engineering proteins called Yamanaka factors, which can turn human skin cells into stem cells, potentially unlocking new approaches to regenerative medicine and anti-aging treatments.

  • Significant financial backing: Retro Biosciences, backed by OpenAI CEO Sam Altman with a $180 million investment, aims to extend human lifespan by 10 years, highlighting the substantial resources being directed towards longevity research.

  • AI outperforming human scientists: The AI model has reportedly outperformed human scientists in suggesting protein redesigns, demonstrating the potential of AI to accelerate scientific discovery in complex biological domains.

  • Expansion of OpenAI's research scope: This project represents OpenAI's first model custom-built for biological research, signaling a potential shift in the company's focus beyond language models and general AI.

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