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PLUS: AI-powered drone beats human champion pilots
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Happy Thursday, fellow humans. 👋
We’ve got an action-packed edition for y’all today, with OpenAI hitting the Billie revenue mark, another open-source model, and AI drones.
Let’s dive straight into it…
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🧵 In today's edition:
💸 $1 Billion
🛩️ AI-powered drone beats human champion pilots
💻️ UAE's open-source Arabic AI model
🤑 AI Fundraising News

🤖 Top AI News
💸 $1 Billion
Dang, things change fast around here.
Back in April, there were questions about how long OpenAI could keep its doors open, considering they were burning ~$700,000 daily.
Now, things have taken a quickkkk 180. OpenAI is propelling towards a remarkable milestone with a projected annual revenue of $1 billion, fueled by a monthly revenue of around $80 million.
Despite a reported loss of $540 million in 2022 during the development of GPT-4 and ChatGPT, OpenAI has emerged as a leader in generative AI, teaming up with startups and corporate giants to integrate this innovation into their operations seamlessly.
OpenAI's latest move involves the introduction of ChatGPT Enterprise, designed to cater to businesses with enhanced features and privacy protections.
This marks a significant stride in OpenAI's journey to monetize its popular chatbot, which demands substantial computing power due to the resource-intensive nature of robust AI models.
Overall: As OpenAI continues to revolutionize AI's landscape, its ascent from substantial losses to a billion-dollar revenue stands as a testament to its prowess in reshaping the future of technology.
Plus, this $1B run rate is just the start. Barring any major setbacks, we expect Google/Apple/Microsoft/even Nvidia revenue levels in the next few years.
“WAGMI!” - OpenAI, probably
Read more: Yahoo Finance
🛩️ AI-powered drone beats human champion pilots
AI continues its astonishing conquests, now venturing into the real-world realm of sports. In a groundbreaking feat, an algorithm named Swift, created by University of Zurich researchers, triumphed over three world-champion drone racers.
Swift navigated a 3D race course at dazzling speeds, emerging victorious in 15 out of 25 races and clocking the fastest lap.
Utilizing deep reinforcement learning, Swift perfected its flight strategy through trial and error, crashing countless times in simulations before race day.
During the competition, Swift's onboard camera streamed visuals to a neural network, which, combined with data from an inertial sensor, determined its position, orientation, and speed. These calculations then informed Swift's maneuvers via another neural network.
As you can imagine, tech like this was met with awe and trepidation from observers and participants, who acknowledged the dawn of a transformative era while grappling with the notion of racing against machines.
Overall: Beyond racing, Swift's adaptability to real-world challenges like turbulence and varying illumination holds promise for applications such as search and rescue operations.
Despite potential military applications, experts urge caution, emphasizing the ethical considerations of integrating AI into critical systems like autonomous weapons.
Read more: The Guardian
💻️ UAE's open-source Arabic AI model
Tech minds from Abu Dhabi-based G42 and Silicon Valley chip company Cerebras Systems have launched an open-source AI model called Jais, a colossal Arabic language model flaunting a staggering 13 billion parameters.
Its biggest feature is its bilingual nature and logical thinking. Jais marries English and Arabic, courtesy of a super batch of data, with a little bit of coding prowess, that turbocharges the model's reasoning skills, giving it a logical edge.
As the AI race accelerates, concerns about ethical implications surface. While cutting-edge AI models like GPT-4 and Google's PaLM flirt with Arabic, their grasp often wavers.
Jais, however, stands tall. It outperforms Falcon, an earlier Arabic model, and rivals English-focused models, exhibiting superior Arabic accuracy thanks to its unique training and understanding of cultural nuances, allowing it to stay within the realms of cultural sensitivity.
Overall: The world now has another open-source model to tinker with, directly helping reshape the landscape for over 400 million Arabic speakers worldwide.
Read more: The Financial Times

🤑 AI Fundraising News
QuantHealth raises $15M in Series A funding to bring AI-informed clinical drug trials to the US.
Sales intelligence startup Apollo raises $100M in a Series D round.

🗞️ AI Quick-Bytes
What else is going on?
MPs criticize UK government’s handling of copyright policy related to AI
Betaworks goes all-in on augmentative AI in latest camp cohort: ‘We’re rabidly interested’
'Call of Duty: Modern Warfare III' will use AI to clamp down on toxic voice chats
Runway CEO: AI could usher in new ‘golden era’ of cinema
Samsung launched its AI-powered recipe app called Food
Dating Apps Offer New Discounts, Premium Tiers in Effort to Court Paying Users

🐦️ Tweet of the day
A quick demo of Autoblocks’ functionality!
Prompt playgrounds are useful for quickly prototyping prompts, but for more complex LLM products (with processing, chaining, etc.) they can be limiting.
Here's how you can use @AutoblocksAI Simulate to test changes to any part of your LLM product pipeline:
— Haroon Choudery (@haroonchoudery)
7:36 PM • Aug 30, 2023

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And that does it for today's issue.
As always, thanks for reading. Have a great day, and see you next time! ✌️
— Haroon: (definitely) Not A Robot and @haroonchoudery on Twitter
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