Good morning. It’s Wednesday, September eleventh.
Did you realize: On this present day in 1990, Archie, considered to be the primary Web search engine, was launched. It allowed users to look for files on public FTP servers that supported anonymous login.
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OpenAI’s Strawberry Dropping Soon
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Apple’s AI Just Google Lens Copy?
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Google Founder’s AI Obsession
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AI Forecaster Beats Human Experts
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5 Recent AI Tools
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Latest AI Research Papers
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Today’s trending AI news stories
OpenAI to launch latest logic-focused AI model “Strawberry” soon
OpenAI’s forthcoming AI model, “Strawberry,” is now expected to launch inside the subsequent two weeks, ahead of the originally planned fall release, in line with testers cited by The Information.
This model, noted for its concentrate on enhanced logical reasoning, will introduce a 10-20 second “considering” period before generating responses, allowing it to deal with complex tasks in mathematics, coding, and business planning with greater accuracy. Unlike its predecessors, Strawberry employs a specialized post-training technique for fine-tuning pre-trained models, potentially reducing the necessity for extra user prompts.
Strawberry might be a standalone option inside ChatGPT, accessible via a brand new pricing structure that will include rate limits and a higher-tier option for quicker responses. Nonetheless, early feedback highlights some limitations, comparable to slower processing times for easy queries and challenges in personalized response delivery. Strawberry is predicted to support software development and research while paving the best way for OpenAI’s next model, “Orion.” Read more.
Apple’s Visual Intelligence is a built-in tackle Google Lens
Apple’s latest Visual Intelligence, a part of iOS 18’s Apple Intelligence suite, turns the iPhone’s camera right into a pocket-sized know-it-all. By holding the capacitive Camera Control button on the iPhone 16 models and pointing the camera at an object, users can immediately uncover details about their surroundings.
Powered by on-device intelligence and Apple’s services — without storing your images — the feature can pull information from signs, flyers, and even restaurant hours with a fast snap. It also plays nice with third-party models for tasks like product searches or study help. Expected later this yr, it’s Apple’s quiet step into AI-driven object recognition. Read more.
Sergey Brin says he’s working on AI at Google ‘just about every single day’
Sergey Brin, Google co-founder and former Alphabet president, has confirmed he’s actively involved in AI projects at Google, stating he works on them nearly every single day. During an interview on the All-In Summit in Los Angeles, Brin emphasized his excitement about AI advancements and his commitment to staying engaged with the sector.
He challenged the notion that significantly increasing computational power is obligatory, arguing that recent improvements in algorithms could also be advancing faster than the rise in computing resources. That is the primary time Brin has publicly confirmed his return to Google, following earlier reports of his involvement in AI projects. Read more.
next up from @allinsummit: google co-founder sergey brin!
(0:00) @friedberg intros sergey
(1:41) what sergey is working on at @Google
(5:45) is google chasing a “god model”?
(8:49) thoughts on the large ai chip buildout
(12:54) way forward for human-ai interaction
(14:58)… x.com/i/web/status/1…
— The All-In Podcast (@theallinpod)
7:58 PM • Sep 10, 2024
CAIS claims their AI forecaster “FiveThirtyNine” beats human experts at predicting future events
The Center for AI Safety (CAIS) has launched FiveThirtyNine, an AI forecasting system based on GPT-4o, claiming it surpasses human experts in prediction accuracy. In tests conducted on the Metaculus platform, FiveThirtyNine achieved 87.7% accuracy, outperforming human forecasters who scored 87.0%. This AI generates probability estimates for user-defined questions on topics comparable to politics and global events.
Despite its advancements, FiveThirtyNine has limitations, including its reliance on pre-existing training data, lack of optimization for specific use cases, and weaker performance on very recent or short-term events. The developers see broad potential for FiveThirtyNine in decision support and risk assessment. Read more.
It’s price noting that previously published papers this yr have also shown that AIs can approach crowd-level (“superhuman”) performance.
From a previous work’s abstract: “the system nears the gang aggregate of competitive forecasters, and in some settings surpasses it.”The… x.com/i/web/status/1…
— Dan Hendrycks (@DanHendrycks)
6:50 AM • Sep 10, 2024
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