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⚙️ AI Sheriffs: The New Code Wranglers
Good morning. Today, we're embarking on a thrilling journey to the Wild West of AI-enhanced coding. Large language models, the new sheriffs in town, are sparking a revolution, turning self-healing code from dream to reality. So, saddle up and join us as we traverse through this frontier town, where code is being transformed to be cleaner, faster, and smarter, one algorithm at a time!
In today’s newsletter:
🤠 AI Sheriffs: The New Code Wranglers
🏫 AI: The Classroom Watchdog
💰 Gensyn AI: Pioneering Decentralized Machine Learning raises $43M
🏢 IBM Unveils WatsonX: A New AI Model to Revolutionize Businesses
🧹 Samsung Unveils AI Vacuum: Intelligent Cleaning Power in Your Hand
📢 Google's AI Training Contract Workers Seek Unionization
NEWS
AI Sheriffs: The New Code Wranglers
Midjourney
Large language models are the new sheriffs in town. They're bringing the idea of self-healing code to life, sparking a revolution in the world of Continuous Integration/Continuous Deployment (CI/CD).
Big guns like Google and Stack Overflow are saddling up with AI to streamline their operations. Google's speeding up its code review with GenAI, while Stack Overflow is aiming to hit the bullseye with LLM outputs. And let's not forget the trailblazers at CodiumAI, who are using AI bots to polish their code until it shines like a new sheriff's badge.
But every gold rush has its pitfalls. The surge in AI-generated code could pile up technical debt faster than a tumbleweed rolls in the desert. And we can't just let machine-written code run wild without checking its reliability. So, while GenAI is a promising frontier, it's calling for some new software engineering strategies to keep things in order.
Looking ahead, GenAI is poised to change the game in software development. It's like having a trusty deputy by your side, offering real-time coding support. It could breathe new life into legacy code management, sniffing out outdated sections and suggesting slicker alternatives. And the real kicker? GenAI could make self-healing code a reality, spotting and fixing bugs all by itself. This is the kind of human-AI teamwork that could redefine the software development landscape.
NEWS
AI: The Classroom Watchdog
Midjourney
We've got some mind-blowing news from the University of Kansas. They've cooked up an algorithm that can spot content whipped up by ChatGPT with a whopping 99% success rate. They fed ChatGPT with 64 legit scientific articles, and it churned out 128 news pieces. Then they put the algorithm to the test with more real and AI-generated articles, and voila! It nailed all 60 AI pieces when looking at the full text.
But hold on, it's not all smooth sailing. When the algorithm gets down to the paragraph level, its accuracy takes a dip to 92%. Plus, it's got a bit of a one-track mind, focusing mainly on scientific academic writing. So, it might not be the sharpest tool in the shed when it comes to high school essays or non-academic texts.
This breakthrough could be a game-changer for keeping things honest in the AI era. With AI tools like large language models becoming popular study buddies, it's a fine line between help and, well, cheating. An algorithm that can sniff out AI-generated content could keep things on the up and up, ensuring students really get to grips with their studies.
And the impact doesn't stop at the school gates. This could shake up the whole world of scientific writing. Being able to tell AI-generated content from human-written text could keep scientific literature real and authentic. While AI can lend a hand in scientific writing, it's crucial that we don't pass off its work as human effort.
RAPID-FIRE AI NEWS
💰 Gensyn AI: Pioneering Decentralized Machine Learning with a $43M Boost
Gensyn AI, a UK-based startup, has secured $43 million in Series A funding led by a16z crypto, aiming to democratize AI development with a pay-as-you-go model. The company's unique approach involves connecting all machine learning capable hardware globally, making it accessible to engineers, researchers, and academics. This funding will be used to expand the Gensyn AI team and cover production costs, including a test network launch later this year.
🏢 IBM Unveils WatsonX: A New AI Model to Revolutionize Businesses
IBM has introduced a new AI and data platform, IBM WatsonX, designed to help businesses scale and accelerate the impact of advanced AI with trusted data. The platform provides an AI development studio with access to trained foundation models, open-source models, and a data store for gathering and cleansing training data. The launch of WatsonX is expected to make AI deployment more scalable, affordable, and efficient, transforming businesses into AI-advantaged entities.
🧹 Samsung Unveils Bespoke Jet AI Vacuum: Intelligent Cleaning Power in Your Hand
Samsung has announced the Bespoke Jet AI Vacuum, an updated version of its handheld stick vacuum, designed to provide intelligent and efficient cleaning. The vacuum features a lightweight HexaJet 2.0 motor, offering a maximum suction of 280AW, and a removable battery pack that lasts up to 100 minutes per charge. The vacuum's All Cleaning Mode uses an AI algorithm to automatically detect floor characteristics for optimal cleaning. The product is set to start shipping on July 7, 2023, with a price tag of $999.
📢 Google's AI Training Contract Workers Seek Unionization
A group of contract workers at Alphabet Inc., who have been involved in training AI responses for Google's search engine and chatbot, are launching a unionization campaign. They argue that they need a greater voice within the company and are seeking to negotiate directly with Alphabet. The workers hope to bargain for increased paid time off, control over assignments, and competitive pay that reflects their skill sets. They are asking management to voluntarily recognize and negotiate with the union, contending that Alphabet is a "joint employer" and thus obligated to negotiate if they unionize.
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AI IMAGES OF THE DAY
Prompt: a cinematic action shot of a jet-ski jumping over a wave on the French Riviera, motion blur, water details --ar 16:9 --q 2 --s 750
Prompt: macro shot of an ant, shot with Nikon Z7 II and Nikon NIKKOR Z 105mm f/2.8 VR S lens, intricate details --ar 16:9 --q 2 --s 750