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  • 💫 LATEST: ChatGPT 3.5 Returns: Stealing the Show from GPT4!

💫 LATEST: ChatGPT 3.5 Returns: Stealing the Show from GPT4!

Discover the latest in AI: AI-Driven ChatGPT Botnet Spreads Crypto Misinformation on X Platform, Google Boosts African Startups with New AI Accelerator!

Plus: 25 Essential Prompts to Elevate Your Google Ads

Read time: 5 minutes

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What are on FIREEE 🔥:

🆕 OpenAI Boosts Customization: Fine-Tune ChatGPT and Outperform GPT-4!

💡 ILO: AI Tools Like ChatGPT May Enhance Jobs, Not Eradicate Them

💻 Google Boosts African Startups with New AI Accelerator!

💸 AI-Driven ChatGPT Botnet Spreads Crypto Misinformation on X Platform

🔄 Meta Launches Powerful Multi-Language AI Translation Tool

🔎 AI Designs Dynamic Proteins, Mimicking Biological "Transistors”

🛠️ 25 Essential Prompts to Elevate Your Google Ads 🎁 2 Free AI Cheat Sheets 💼 4 AI jobs

Source: Decrypt

OpenAI continues its innovation spree with new fine-tuning features, allowing users to enhance the performance of GPT-3.5 Turbo for specialized tasks, possibly even surpassing GPT-4 in certain areas.

Key Takeaways:

  • AI Customization Trend: OpenAI has introduced upgrades enabling users to customize their AI models, following their recent "custom instructions" feature.

  • GPT-3.5 Turbo Gets an Upgrade: OpenAI has rolled out fine-tuning for GPT-3.5 Turbo, which can help it achieve performance levels matching or even surpassing GPT-4 for specific tasks.

  • Specialized Performance: Fine-tuning allows developers to mold GPT-3.5 Turbo to particular needs, from generating specific code to flawless document summaries in languages like German.

  • Tailored Experiences for Businesses: Companies can align the AI model with their brand voice, ensuring the chatbot complements their brand persona.

  • Cost-Effectiveness: Fine-tuning benefits include increased steerability, consistent output, and smaller prompt sizes, translating to faster API responses and reduced expenses.

  • Pricing Details: While base GPT-3.5 Turbo is priced at $0.0004 per 1,000 tokens, fine-tuned versions cost more due to their enhanced capability.

  • Safety Measures: OpenAI ensures that fine-tuning adheres to safety standards by using its Moderation API and a GPT-4 powered system to sift through training data.

  • User Control with Fine-Tuning: The combined power of fine-tuning and custom instructions grants users unprecedented control over AI models, customizing them as per their unique needs.

Source: Internet

The International Labour Organization (ILO) indicates that generative AI tools, like ChatGPT, could potentially enhance jobs by taking over certain tasks, instead of eliminating entire roles.

Key Takeaways:

  • AI’s Role in Jobs: The ILO's research suggests that generative AI, especially tools like ChatGPT, will more likely complement roles rather than render them obsolete.

  • ChatGPT's Influence: Since its debut, ChatGPT has garnered global attention, aiding in diverse areas like workflow management, code writing, quick responses, and personalized content creation.

  • Occupations and AI Exposure: Clerical jobs are the most susceptible to AI's influence. However, in roles like management or technical jobs, only a fraction of tasks are at automation risk.

  • Country-based Exposure: Wealthier nations have 5.5% of their employment potentially affected by AI automation, in contrast to just 0.4% in low-income countries. However, the opportunity for job enhancement via AI is almost uniform across nations.

  • Gender Dynamics: Generative AI may impact women more than men, mainly because of their dominance in clerical roles, especially in middle and high-income countries.

  • AI Adoption’s Socioeconomic Influence: The ILO report emphasizes that the real-world impact of AI will hinge on its adoption strategy and implementation.

  • Importance of Human Oversight: The study concludes that humans play a pivotal role in deciding the integration of such technologies and should be at the forefront of the transition.

Source: Internet

Google introduces a supportive program for African startups eager to tap into artificial intelligence solutions, fostering innovation and addressing local challenges.

Key Takeaways:

  • Google's AI Push: The tech giant announces "Google for Startups Accelerator: AI First", targeting African startups keen to explore AI's vast potential.

  • Inspiration from Previous Ventures: This initiative gleans insights from earlier successful programs, including Google's endeavors in Africa and support for Black and Women founders.

  • Vision for African Tech: Recognizing Africa's dynamic tech environment, Google believes in empowering startups that utilize AI to tackle regional challenges and set global standards.

  • No Equity Involved: The 10-week program doesn't take a stake in participating startups. Eligible participants are those up to the series A stage, either based in Africa or crafting AI-driven solutions tailored for the continent.

  • Perks for Participants: Startups in the program will gain:

    • Access to Google's in-depth AI expertise.

    • A whopping Sh50.6 million ($350,000) worth of Google Cloud Credits.

    • Guidance from seasoned AI professionals.

    • A platform to forge crucial industry connections.

  • Call for Applications: Startups have until September 6, 2023, to apply. Google's previous accelerator in Africa, since 2018, has backed 106 startups across 17 countries, helping raise Sh38 million ($263 million) and creating 2,800+ direct jobs.

Source: Protos

Researchers have exposed a ChatGPT-based botnet, named 'Fox8,' that deceives users on X (previously Twitter) into exploring counterfeit cryptocurrency sites, hinting at a potential surge in AI-fueled disinformation campaigns.

Key takeaways:

  • Botnet Discovery: Indiana University Bloomington experts identified ‘Fox8’ in May, connected with fake crypto web domains and comprising over 1,140 accounts.

  • Varied Content: The botnet broadcasts a blend of original tweets, retweets, and pictures, focusing on crypto, blockchain, and NFT topics while also promoting dubious sites.

  • Just the Beginning: Researcher Micah Musser mentions that the botnets seen might only represent a fraction of AI-led disinformation tactics out there.

  • Easy Detection: Despite the botnet's vast presence, researchers identified it through basic search methods, indicating its "sloppy" tactics.

  • A Future Threat: While 'Fox8' has detectable flaws, perfectly-configured botnets could evade discovery and serve more sinister agendas than just promoting fake sites.

  • Double Deception: Professor Filippo Menczer emphasized that such bots deceive both the platform and its users and are likely tools in development for disinformation campaigns by governments.

Source: REUTERS

Meta Platforms, Facebook's parent company, has unveiled an AI model, SeamlessM4T, that promises advanced speech translation across many languages, setting the stage for enhanced global communication in the metaverse.

Key takeaways:

  • Multi-Tasking AI: Meta's SeamlessM4T can convert text and speech in almost 100 languages and offers complete speech-to-speech translation for 35 languages.

  • Vision for the Metaverse: Mark Zuckerberg sees such innovations enabling smoother interactions between global users in the emerging metaverse realm.

  • Open for Public: While Meta is releasing this model for non-commercial public usage, the firm has been launching several free AI tools lately.

  • Challenging the Giants: Their new language model, Llama, is seen as competition for other tech giants like Microsoft-backed OpenAI and Google.

  • Freebies with Strategy: Zuckerberg believes in an open AI system, suggesting it's more beneficial for Meta to crowd-source tool creation rather than charge for model access.

  • Legal Hurdles: Copyright issues loom over Meta and other AI companies for using content without explicit permissions for model training.

  • Training Data Origins: For SeamlessM4T, audio data comes from a vast bank of "raw audio" from web data, while text information has been sourced mainly from Wikipedia.

Source: Singularityhub

Scientists have harnessed AI to design proteins that can switch between two configurations, a breakthrough comparable to creating biological transistors. This may lead to new insights and potential medical solutions.

Key takeaways:

  • Dynamic Proteins: Unlike static models, some proteins can alter their shapes based on biological needs, functioning like on-off switches in a cellular “computer”.

  • AI's Role: Recent deep learning techniques have made predicting protein structures possible. Advanced algorithms are now generating completely novel protein designs.

  • Limitation Overcome: A new study introduces flexibility to these AI-designed proteins, allowing them to stabilize in two different forms akin to a computer’s “0” or “1”.

  • Potential Uses: Dr. David Baker, lead author, envisions applications like environment-responsive nanostructures and drug delivery mechanisms.

  • Protein Basics: DNA translates genetic info into amino acids, which fold into intricate 3D protein shapes. By understanding this, scientists aim to engineer new proteins to combat diseases.

  • The AI Challenge: While creating a protein with one shape is difficult, making one that can change between two shapes is exponentially harder. Yet, the team was able to achieve this using a combination of AI tools.

  • Implication: With this capability, AI can potentially design proteins acting like biological transistors, leading to innovations in synthetic biology.

🛠️ 25 Essential Prompts to Elevate Your Google Ads

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📝 2 FREE AI Cheatsheets

1. Top 12 AI Speech Generation Tools

2. Dive into The Anatomy of Effective ChatGPT Prompts

💼 AI Jobs

  • LinkedIn: Machine Learning & Artificial Intelligence Manager (Link)

  • LinkedIn: Sr. Product Manager, Data and AI (Link)

  • LinkedIn: Post-doctoral research associate in artificial intelligence (AI) and machine learning (Link)

  • Google: Research Fellow in Trustworthy Robotics and AI (Link)

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