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- š¤ OpenAI Partners With Stack Overflow
š¤ OpenAI Partners With Stack Overflow
PLUS: Appleās AI Chips for Data Centers, Language Models Write Code to Train Robots?!

Welcome back AI enthusiasts!
In todayās AI Report:
š¤OpenAI Partners With Stack Overflow
šAppleās AI Chips for Data Centers
š¦¾Language Models Write Code to Train Robots?!
š 5 Trending Tools
š°Venture Capital Updates
š¼Whoās Hiring?
Read Time: 3 minutes
šRECENT NEWS
OPENAI
š¤OpenAI Partners With Stack Overflow

Image Source: Canva AI Image Generator
OpenAI partnered with Stack Overflow to provide ChatGPT users with accurate answers to programming-related questions, including API development and data analysis.
Key Details:
OpenAI will utilize Stack Overflowās OverflowAPI to access the platformās robust repository of trusted, attributed, accurate, and highly technical Q&A data from millions of developers.
Stack Overflow will utilize OpenAIās LLM frameworks to continue advancing OverflowAI and ensure developers find solutions faster within their workflows.
When ChatGPT responds to a userās coding query with Stack Overflow data, itāll offer sources for relevant posts.
OpenAIās COO Brad Lightcap explained: āLearning from as many languages, cultures, subjects, and industries as possible ensures that our AI models can serve everyone.ā
Why Itās Important:
Stack Overflow is the worldās largest developer community, hosting over 59 million Q&A forums filled with professional and enthusiast programmers.
OpenAIās ChatGPT will offer improved accuracy for developers by accessing Stack Overflowās massive dataset of high-quality, verified code and solutions.
š©ŗ PULSE CHECK
Should OpenAIās ChatGPT be required to cite Stack Overflow when using the platformās content to answer user queries?Vote Below to View Live Results |
APPLE
šAppleās AI Chips for Data Centers

Image Source: The Climate Group/Flickr
Apple has been developing chips designed to run artificial intelligence software in data-center servers to gain a competitive edge over Big Tech companies in the AI space.
Key Details:
Appleās Project ACDC (Apple Chips in Data Centers) has been developing for several years with no clear timeline.
The iPhone maker has been working with Taiwan Semiconductor Manufacturing Company (TSMC) to create the chipās design and outline production cycles. However, it remains uncertain whether the efforts have yielded any positive results.
The Wall Street Journal claims Appleās chips for data centers will focus on AI inference rather than training AI models.
AI inference refers to using a trained AI model to make predictions on new, unseen data. Itās essentially the AI model putting its learned knowledge to the test by generating an output, prediction, or classification based on unseen data.
Why Itās Important:
During Appleās Q2 Earnings Call last Thursday, Apple CEO Tim Cook told investors, āWe believe in the transformative power and promise of AI, and we believe we have advantages thatāll differentiate us in this new era.ā
GenAI systems like OpenAIās GPT-4 must crunch immense amounts of data using computer servers hosted in data centers to fuel ChatGPTās responses.
Most companies rely heavily on data center servers filled with Nvidia hardware. Apple is attempting to reduce its reliance on Nvidia to run AI models and potentially become an alternative for companies.
AI RESEARCH
š¦¾Language Models Write Code to Train Robots?!
Nvidia researchers developed DrEureka, a language-guided āSim-To-Realā AI algorithm that automates the steps to train robot skills in simulations and transfers them to the real world.
DrEureka writes C/C++ code to define robot skills in simulations, like general-purpose dexterity. Then, the AI algorithm transfers these defined robot skills into physical robots.
DrEureka leverages an LLMās physics knowledge to adjust parameters like friction and gravity, automating the labor-intensive manual design and tuning process.
DrEureka trained a simulated robot dog to balance and navigate paths on a yoga ball and successfully applied it to an actual robot dog.
š TRENDING TOOLS
š¦Adobe Acrobat interacts with your documents for quick answers and one-click summaries.
š„Playground is a Trustworthy Language Model (TLM) that offers reliable answers.
āļøNightCafe Studio unleashes AI-driven art creation with no skills required.
āļøn8n is an open-source workflow automation tool that connects tasks.
šøRiffusion transforms lyrics into complete songs.
š®Browse our always Up-To-Date AI Tools Database.
š°VENTURE CAPITAL UPDATES
Microsoft and OpenAI launch a $2M fund to counter election deepfakes.
HealWell AI Inc. secures $20M to develop data science healthcare technology.
Expresso AI emerges from stealth with $11M to tackle the cloud cost crisis.
š¼WHOāS HIRING?
Vendelux (New York City, NY): Data Analyst Intern, Summer 2024
Sony Pictures (Culver City, CA): Digital Disruption Intern, Summer 2024
LLNL (Livermore, CA): Computing Undergraduate Student Intern, Fall 2024
Skyworks (Irvine, CA): Enterprise Architecture/ML, Fall/Co-Op 2024
Apple (San Diego, CA): Software Development Engineer
š¤PROMPT OF THE DAY
PERFORMANCE
šPerformance Evaluation
Develop a concise monthly performance review system for my [Team Description], covering goal settings, performance metrics, data collection, feedback, evaluation, development planning, follow-up, and continuous improvement.
Team Description = [Insert Here]
šFINAL NOTE
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ā¤ļøTAIP Review of the Day
āCUREās ability to emulate randomized clinical trials is insane. Great share!ā
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