OpenAI plans its own AI chip

Welcome, AI enthusiasts.

OpenAI is gearing up to interrupt free from Nvidia’s chip stranglehold, eyeing its latest enterprise into developing its very own custom AI chips.

Is that this just one other tech innovation race — or does the trail toward AGI face a serious compute / supply challenge? Let’s investigate…

In today’s AI rundown:

• OpenAI wants its own AI chip

• The state of AI humanoids and robotics

• The best way to test and customize GPT-4o mini

• Apple’s latest 7B open-source AI model

• 6 latest AI tools & 4 latest AI jobs

• More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

OPENAI

🤖 OpenAI wants its own AI chip

The Rundown: OpenAI is reportedly in talks with chip designers like Broadcom to develop its own AI chip, aiming to scale back dependence on scarce and expensive GPUs from Nvidia.

The small print:

• OpenAI has already hired former Google employees who worked on Google’s tensor processing unit (Google’s AI chip).

• The ChatGPT maker has been talking to chip designers including Broadcom, nevertheless production of the brand new chip is not expected until 2026 on the earliest.

• The corporate is exploring various chip packaging and memory components to optimize performance.

• OpenAI can also be considering creating latest corporations with outside investors to finance infrastructure like data centers.

Why it matters: This move is not only about OpenAI playing chip designer — it’s an influence play. By developing its own chips, OpenAI could break free from the GPU shortage bottleneck, potentially supercharging its mission towards AGI.

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• AI generated drafts you may edit before sending

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COATUE

🤖 The state of AI humanoids and robotics

The Rundown: Coatue Management, an investment firm with over $70B assets under management, has released a comprehensive report on the present state and future prospects of AI humanoids and robotics.

The small print:

• Coatue argues that robotics won’t have a sudden “ChatGPT-like” moment on account of restricting aspects similar to physical limitations to adoption, high upfront costs, and a nascent ecosystem.

• 2023 saw a surge in latest robotics corporations, with over 20 launching humanoid initiatives since 2021 — which is predicted to proceed in 2024.

• The report predicts that AI and quality training data, fairly than hardware, will probably be the important thing differentiator for humanoids.

• Coatue envisions robots going through a progression from warehouse and store automation to more complex tasks like firefighting, surgery, and in-home assistance.

Why it matters: While we may not see a robot butler in every home overnight, Coatue’s evaluation suggests we’re on the cusp of a gradual yet profound transformation. As AI and robotics capabilities increase, many industries, from manufacturing to healthcare, will probably be completely reshaped.

AI TRAINING

⚙️ The best way to test and customize GPT-4o mini

The Rundown: Last Thursday, OpenAI revealed the GPT-4o mini, a compact version of its flagship GPT-4o model. While the model is slowly rolling out into ChatGPT accounts, the OpenAI Playground permits you to access and customize the model immediately.

Step-by-step:

1. Go to OpenAI’s Playground and sign up together with your credentials.

2. On the left side, click where it says “Chat”.

3. Click on the Models dropdown menu and choose “gpt-4o-mini”.

4. Enter a prompt where it says “User,” mess around with the various parameters (e.g., system prompt, temperature, or maximum length), and personalize your outputs.

Get more AI tutorials →

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APPLE

🍎 Apple’s latest 7B open-source AI model

The Rundown: Apple just unveiled a brand new 7 billion parameter open-source AI model, dubbed DCLM-7B, that outperforms Mistral 7B and closes in on other leading open models like Llama 3 and Gemma across key benchmarks.

The small print:

• The DCLM-7B model achieves 63.7% 5-shot accuracy on MMLU, surpassing Mistral 7B and nearing performance of Llama 3 and Gemma.

• Apple open-sourced not only the model weights and training code, but in addition the whole pretraining dataset.

• The model was trained on 2.5 trillion tokens using pretraining recipes based on the OpenLM framework.

• The model was released alongside the family of DCLM models, and can be found on Hugging Face.

Why it matters: While Apple has been a bit slow to the open-source hype train, developers from world wide will still appreciate the unexpected open dataset. What this implies is that researchers and developers now have open access to not only the model, but your complete process behind its creation.

NEW TOOLS & JOBS

Trending AI Tools

• 💬 GPT-4o mini – OpenAI’s latest model that tops GPT-3.5 turbo in efficiency and pricing

• 🔎 Cohesive AI – AI-powered web scraping and research in Google Sheets

• 🖼️ Immersity AI – Convert 2D images to 3D motions and videos

• 📧 Proton Scribe – Privacy-first email writing assistant with end-to-end encryption

• 🚀 Shaped – Increase engagement and conversion with adaptive recommendations

• 🎬 Kapkap – AI-powered dynamic video subtitle editor

Browse more AI tools →

Recent AI Job Opportunities

• 🎨 Character AI – Brand Designer

• 🔬 Waymo – Research Scientist, Foundation Models for Simulation and Planning

• 🌐 Glean – Community Manager

• 🤖 Fiddler AI – Machine Learning Engineer

Browse more AI jobs →

QUICK HITS

Anthropic is reportedly working on a brand new screenshot tool for Claude, potentially allowing users to seamlessly take screenshots from other screens or tabs.

Electronic Arts created digital clones of 11,000 college football players for his or her upcoming video game in 3 months — using AI to create the avatars using athletes’ headshot photographs.

California state legislators are pushing for a proposed bill that will require big tech corporations to check AI for “catastrophic” risks before public release.

Ukraine is reportedly developing AI-enabled war drones, aiming to beat Russian signal jamming and enable swarm operations on the battlefield.

AMD claims its latest laptop chips can outperform Apple’s M3 — boasting improved performance in multitasking, image processing, and gaming.

Google is reportedly developing a ‘Prompts Gallery‘ to permit users to curate a group of favorite prompts and get inspiration from other users inside it’s Gemini chatbots.

Perplexity rolled out Voice Mode to it’s AI assistant on its iOS app, allowing Pro users to talk and ask inquiries to the AI search engine through various voice modes.

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