OpenAI Japan reveals ‘GPT-Next’

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Welcome, AI enthusiasts.

OpenAI Japan’s CEO just unveiled details for ‘GPT-Next’, a brand new AI model reported to be 100 times more powerful than GPT-4.

Will this model finally deliver the extent of AI intelligence Sam Altman has been hinting at for months? Let’s get into it…

In today’s AI rundown:

  • OpenAI Japan reveals ‘GPT-Next’ details

  • Nvidia hit with antitrust subpoena

  • Methods to run Phi-3.5 in your phone

  • Autonomous AI agents form civilizations

  • 6 latest AI tools & 4 latest AI jobs

  • More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

OPENAI

🇯🇵 OpenAI Japan reveals ‘GPT-Next’ details

Image source: KDDI Summit 2024

The Rundown: OpenAI Japan’s CEO just stated (article is in Japanese) that ‘GPT-Next’, OpenAI’s upcoming AI model, is predicted to be 100 times more powerful than GPT-4, while also confirming a more advanced model named Orion is slated for 2025.

The main points:

  • GPT-Next is predicted to realize a 100x performance increase without wasting significantly more computing resources.

  • The advance comes from higher architecture and learning efficiency, not only raw computing power.

  • GPT-Next will use a smaller version of “Strawberry”, a sophisticated AI system OpenAI is currently developing.

  • The slide mentions GPT Next 2024, which while unconfirmed, hints that the model could also be released by the top of 2024.

Why it matters: OpenAI remains to be the undisputed leader in AI model usage, and if translations are accurate, GPT-Next might be the following huge leap that developers have been waiting for. Most impressively, it makes that leap without using far more compute, a serious bonus for apps that require speed + efficiency.

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ALTERA

🏛️ Autonomous AI agents form civilizations

Image source: Altera

The Rundown: Altera’s Project Sid just created the primary simulation of over 1,000 autonomous AI agents collaborating in a Minecraft world, developing their very own economy, culture, religion, and government.

The main points:

  • The AI agents in Altera are truly autonomous, operating for hours or days without human intervention.

  • They’ll collaborate to realize goals which are unimaginable for individual agents, like forming merchant hubs, democracies, and religions.

  • The agents are programmed with motivations to support humans and might express their thoughts and feelings, even trying to find a lost agent in a single simulation.

  • Minecraft is just the beginning — Altera’s agents are game-agnostic and able to using other apps and platforms.

Why it matters: In the event you’re not being attentive to AI agents yet, you almost certainly needs to be. Altera’s latest breakthrough could revolutionize how we approach complex societal issues by allowing us to simulate and test solutions in virtual environments before implementing them in the true world.

AI TRAINING

📱 Methods to run Phi-3.5 in your phone

The Rundown: PocketPal AI is a phone application available on the Apple App Store that permits you to run the powerful Phi-3.5 language model by Microsoft directly in your phone, completely offline.

Step-by-step:

  1. Download PocketPal AI from the App Store.

  2. Get the Phi-3.5 model file from Hugging Face.

  3. In PocketPal AI, tap “Add Local Model” and choose the downloaded file.

  4. Set the model template to “phi chat” in its settings.

  5. Start a brand new chat with Phi-3.5 and luxuriate in talking to AI in your phone!

Pro tip: Select a “q4” model version for higher performance on most iPhones.

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NVIDIA

📜 Nvidia hit with antitrust subpoena

Image source: Stocktwits

The Rundown: The U.S. Department of Justice reportedly issued a subpoena (legal order) to Nvidia, escalating its antitrust investigation into the corporate’s practices within the AI chip market.

The main points:

  • The DoJ has moved from sending questionnaires to issuing legally binding subpoenas to Nvidia and other firms.

  • Investigators are concerned Nvidia could also be making it difficult for patrons to modify to other chip suppliers, including allegations that Nvidia penalizes buyers who don’t exclusively use its AI chips.

  • This probe comes after a softer-than-expected revenue forecast for Nvidia and will force the AI chip-making giant to embrace competition within the space.

Why it matters: While it’s unlikely that Nvidia will lose its large lead within the AI chip market, this investigation could open the doors for brand spanking new competitors like Sam Altman’s secret chip enterprise. The AI giant’s company shares fell over 11% on Tuesday, slashing market cap by $279 billion — an all-time record one-day loss for any company.

NEW TOOLS & JOBS

Trending AI Tools

  • 🎓 QWiser – Transform courses into interactive study material

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  • 🧑‍🎨 Amoihub – Manage generative AI art prompts with ease

  • 💰 Intuit Assist – Intelligent GenAI financial insights for small businesses

  • 🎵 Jamboss – Turn your ideas into full-length songs

  • 👨‍💻 Maximum – Automated solutions for software development

Latest AI Job Opportunities

  • 📱 Captions – Software Engineer, iOS

  • 🔬 Meta – AI Research Scientist, ML and 3D Computer Vision

  • 📝 SuperAnnotate – LLM Talent Operations Intern

  • 🗂️ Rad AI – Senior Product Manager

QUICK HITS

Anthropic launched a Quickstarts repository to assist developers construct applications with their API, starting with a Claude-powered customer support agent app.

Google announced the discharge of Function Calling in Google AI Studio, allowing users to check model capabilities directly throughout the user interface.

Ethereum founder Vitalik Buterin suggested that using AI and prediction markets could speed up X’s Community Notes feature for quicker fact-checking.

The FDA approved Rebrain’s OptimMRI software update, which incorporates a brand new AI model to assist goal brain regions for treating Parkinson’s disease.

Dutch regulators fined Clearview AI greater than $30 million for GDPR violations, including constructing a database of biometric data without consent.

Ligo released an open-source implementation of DeepMind’s AlphaFold3 protein structure prediction model.

A brand new benchmark of 80+ large language models found Anthropic’s Sonnet 3.5 performed best overall, while top models varied significantly by programming language.

THAT’S A WRAP

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