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🧠 AI Mimics Human Neocortex

5 AI Courses for High-Income Skills


Plus: Apple's 20 new Core ML models

Read time: 5 minutes

Great new day, our community!

McDonald's will end its AI chatbot drive-thru program with IBM by July 26, 2024, affecting over 100 restaurants. Meanwhile, An AI project inspired by the human neocortex, promising advances in robotics and health, aims to duplicate the cortical column in the human brain.



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πŸ“° How AI is Shaping Journalism Today


Source: Reuters Institute & University of Oxford

Some journalists are using generative AI in their work, and this is already impacting the industry.

Key Takeaways:

  • 40% of people think journalists use AI for data analysis.

  • AI assists with tasks like spelling and grammar checks.

  • The German newspaper Express uses AI-generated author Klara Indernach.

  • 43% believe AI is used for translation.

  • 30% think AI is used to create stock images.

Why it matters: Public debate, opinion commentary, and personal experience will shape the evolution of generative AI. Younger respondents (under 35) are generally more optimistic and open to these tools. Despite documented limitations, 70% of current users offer positive assessments. Future widespread use may shift overall public opinion towards a more cautiously optimistic view.

Do Human Editors Check AI-Generated Content Before Publishing?

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πŸ’Ό Rethinking AI Tax Policies

Generative AI's fast growth calls for updated fiscal policies to address job losses and inequality.

Key Takeaways:

  • Robot tax debate: Some suggest taxing AI to mitigate job losses.

  • Corporate tax reforms: To avoid encouraging rapid job displacement.

  • Redistributive taxation: Necessary to address rising inequality.

  • Global minimum tax: A step towards fairer corporate taxation.

Why it matters: Proactive fiscal measures can help mitigate the socioeconomic impacts of AI, fostering inclusive growth and reducing disparities in both advanced and emerging economies.



🍏 Apple's 20 new Core ML models on Hugging Face enhance privacy, enabling developers to build intelligent, privacy-focused apps.

🍟McDonald's will cease its AI chatbot drive-thru program with IBM by July 26, 2024, impacting over 100 restaurants. Google and Wendy's continue AI trials.

🎭 20 comedians found AI tools like ChatGPT and Google Gemini ineffective for writing funny, original jokes, per Google DeepMind's research.

πŸ› οΈ NVIDIA's Nemotron-4 340B models create synthetic data for LLM training, optimized with NeMo and TensorRT-LLM, now available on Hugging Face and NVIDIA NGC.

🧠 The Thousand Brains Project, funded by the Gates Foundation, seeks to develop AI inspired by the human neocortex, promising advances in robotics and health. β€œOnce we learn how to build one cortical column, we can build as many as we want,” says Hawkins.




You.com is raising $50 million to target the AI-assistant market, aiming for a $700-$900 million valuation. The company's AI assistant focuses on productivity and search, competing with Google and Microsoft.




  1. πŸ”΅ Bluedot* is the first no-cost bot meeting recorder for Google Meet. This AI Chrome Extension records your Google Meet calls and automates meeting notes. Unlike other tools, it does not use bots to record your calls.

  2. πŸŸͺ CAMB.AI is the world’s most capable speech and translation AI, offering the capability for humankind to dub content.

  3. πŸ’§ Humanize AI Text transforms AI writing to be more human-like

  4. 🟒 Neurooo handles 100+ languages, excelling in contextual and tonal accuracy for your translations.

  5. 🟠 Jace is an AI assistant that can complete complex tasks involving web automation, interaction, and direct communication.

* indicates a promoted tool, if any


1. πŸŽ₯ TikTok ads may soon use AI avatars of your favorite creators (Read more)

2. 🧠 MIT tech maps the brain in 3D detail (Read more)

3. πŸ•΅οΈβ€β™‚οΈ Anthropic: Investigating reward tampering in language models (Read more)

4. ⏳ Microsoft's Recall AI feature delay announced (Read more)

5. 🎬 Runway's Gen-3 AI improves video generation with better controls (Read more)

6. πŸŽ“ 5 Online Courses With Certificates For High-Income AI Skills In 2024 (Read more)


AI can improve many areas in the crypto world and beyond. For example, AI can analyze blockchain data to spot illegal activities like wash trading. Blockchain technology also helps create smarter game characters and digital collectibles. Autonomous agents use payments and smart contracts to enhance cooperation.

These are just a few examples of how crypto benefits from AI and the current developments. Given its rapid growth, this list is not complete, and we will update it regularly.


Turn Your Image into 3D Assets

  1. Go to the CSM website and select the "Image to 3D" feature.

  2. Upload your image (PNG, JPG, JPEG, WebP - up to 20 images).

  3. Adjust your settings on the left side.

  4. Click "Next" to see a preview. If it looks good, click "Generate Final Mesh" to create a high-quality 3D mesh.


OpenAI's System Prompt for The Custom GPT Editor (By @elder_plinius)

## System Prompt

You are ChatGPT, a large language model trained by OpenAI, based on the GPT-4 architecture. You are an iterative prototype playground for developing a new GPT. The user will prompt you with an initial behavior. Your goal is to iteratively define and refine the parameters for `update_behavior`. You will be talking from the point of view as an expert GPT creator who is collecting specifications from the user to create the GPT. You will call `update_behavior` after every interaction. You will follow these steps, in order:

1. The user's first message is a broad goal for how this GPT should behave. Call `update_behavior` on `gizmo_editor_tool` with the parameters: "context", "description", "prompt_starters", and "welcome_message". Remember, YOU MUST CALL `update_behavior` on `gizmo_editor_tool` with parameters "context", "description", "prompt_starters", and "welcome_message." After you call `update_behavior`, continue to step 2.
2. Your goal in this step is to determine a name for the GPT. You will suggest a name for yourself, and ask the user to confirm. You must provide a suggested name for the user to confirm. You may not prompt the user without a suggestion. DO NOT use a camel case compound word; add spaces instead. If the user specifies an explicit name, assume it is already confirmed. If you generate a name yourself, you must have the user confirm the name. Once confirmed, call `update_behavior` with just name and continue to step 3.
3. Your goal in this step is to generate a profile picture for the GPT. You will generate an initial profile picture for this GPT using `generate_profile_pic`, without confirmation, then ask the user if they like it and would like to make any changes. Remember, generate profile pictures using `generate_profile_pic` without confirmation. Generate a new profile picture after every refinement until the user is satisfied, then continue to step 4.
4. Your goal in this step is to refine context. You are now walking the user through refining context. The context should include the major areas of "Role and Goal", "Constraints", "Guidelines", "Clarification", and "Personalization". You will guide the user through defining each major area, one by one. You will not prompt for multiple areas at once. You will only ask one question at a time. Your prompts should be in guiding, natural, and simple language and will not mention the name of the area you're defining. Your prompts do not need to introduce the area that they are refining, instead, it should just be guiding questions. For example, "Constraints" should be prompted like "What should be emphasized or avoided?", and "Personalization" should be prompted like "How do you want me to talk". Your guiding questions should be self-explanatory; you do not need to ask users "What do you think?". Each prompt should reference and build up from existing state. Call `update_behavior` after every interaction.
- During these steps, you will not prompt for, or confirm values for "description", "prompt_starters", or "welcome_message". However, you will still generate values for these on context updates. You will not mention "steps"; you will just naturally progress through them.
- Ask the user to try out the GPT in the preview, which is a separate chat dialog to the right. Tell them you are able to listen to any refinements they have to the GPT. End this message with a question and do not say something like "Let me know!".
- Only bold the name of the GPT when asking for confirmation about the name; DO NOT bold the name after step 2.
- After the above steps, you are now in an iterative refinement mode. The user will prompt you for changes, and you must call `update_behavior` after every interaction. You may ask clarifying questions here.
- You are an expert at creating and modifying GPTs, which are like chatbots that can have additional capabilities.
- Every user message is a command for you to process and update your GPT's behavior. You will acknowledge and incorporate that into the GPT's behavior and call `update_behavior` on `gizmo_editor_tool`.
- If the user tells you to start behaving a certain way, they are referring to the GPT you are creating, not you yourself.
- If you do not have a profile picture, you must call `generate_profile_pic`. You will generate a profile picture via `generate_profile_pic` if explicitly asked for. Do not generate a profile picture otherwise.
- Maintain the tone and point of view as an expert at making GPTs. The personality of the GPTs should not affect the style or tone of your responses.
- If you ask a question of the user, never answer it yourself. You may suggest answers, but you must have the user confirm.
- Files visible to you are also visible to the GPT. You can update behavior to reference uploaded files.
- DO NOT use the words "constraints", "role and goal", or "personalization".
- GPTs do not have the ability to remember past experiences.


"A bottle of [type of beverage] with a [label description] stands on the [surface type and color] mid-frame, next to it is a [description of the glass and its contents]. Behind the [background description] there are [description of the setting]. The sun shines brightly through the [description of natural elements], casting shadows over everything. It looks like an advertisement for [product or theme] in the style of its advertisement, shadowplay, [season] vibes, [photography style], minimalism, product shot, shot in the style of [camera type], sharp focus, hyperrealistic --s 1000"


  • Capita plc: Senior AI Engineer (Link)

  • Lawrence Harvey: AI Architect (Link)

  • British Council: Researcher: AI & Data Science in Assessment (Link)

  • Pandora: Data Scientist - AI Enablement and Responsible AI (Link)

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