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Google delays release of Gemini

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Good morning, AI peeps! We are here to start off your week with the freshest AI news, so you can be smarter than all your friends. 🦾

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Today’s Menu

Appetizer: Google delays release of Gemini 😕

Entrée: OpenAI spends $51 million on new AI chips 💾

Dessert: Amazon’s “Q” chatbot leaks employee data 🤖


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Good things come to those who wait … let’s hope! 🙏

What’s up? The highly anticipated launch of Google’s revolutionary AI model, Gemini, is facing a slight delay, being pushed to 2024.

What is Gemini? Touted as the next generation of AI, Gemini is a multimodal model with the unprecedented capability to process various data types, including text, images, and websites, translating sketches or written descriptions into coherent content.

Why the delay? Originally slated for launch events in New York, Washington, and California next week, the unveiling has been discreetly pushed to early 2024 due to concerns about the model’s reliability, particularly in responding to non-English prompts. Despite the setback, Gemini’s potential remains immense, surpassing OpenAI’s GPT-4 in performance, thanks to its superior computing power.


OpenAI is spending big money on revolutionary AI chips! 💰

What’s up? Sam Altman and OpenAI secured a $51 million deal with Rain AI, a startup developing AI chips called “neuromorphic processing units “ (NPUs), designed to replicate human brain features.

Some background? In 2019, OpenAI entered into a nonbinding agreement to spend $51 million on Rain’s AI chips once they were ready for acquisition, and Altman himself invested $1 million personally in the company.

What are the Rain AI chips? Founded in 2017, Rain claims that its NPUs boast brain-inspired capabilities, promising up to 100 times more computing power and 10,000 times greater energy efficiency for training compared to GPUs, the standard for AI development sourced primarily from Nvidia. The startup's initial chips are built on the RISC-V open-source architecture, endorsed by major tech players like Google and Qualcomm. Targeting edge devices such as phones, drones, cars, and robots, Rain aims to deliver a versatile chip capable of both training machine algorithms and executing them post-deployment. While most current edge chip designs focus on inference, how OpenAI intends to leverage Rain’s innovative chips remains undisclosed.


Drama is always fun … unless you’re in the middle of it, like Amazon. 😳

What’s happening? Amazon’s recent announcement of its AI chatbot, Q, has triggered concerns among employees regarding accuracy and privacy. Leaked documents reveal that Q is reportedly experiencing severe hallucinations and leaking confidential data, including sensitive information about AWS data centers, internal discount programs, and unreleased features. An employee marked the incident as “sev 2,” indicating its severity and the need for urgent resolution.

What is Q? Q, positioned as an enterprise software version of ChatGPT, was introduced as a secure alternative for businesses and developers, answering queries about AWS, editing source code, and citing sources. It recently entered into a preview stage and will soon become generally available.

What’s the issue? These leaked internal documents reveal concerns about Q’s tendency to hallucinate and provide inaccurate or inappropriate responses, posing potential risks to employee information and customer accounts.

What is Amazon’s response? In response, AWS CEO, Adam Selipsky, emphasized Q’s enhanced security compared to consumer-grade chatbots. A spokesperson stated, “No security issue was identified as a result [of feedback]. We appreciate all of the feedback we’ve already received and will continue to tune Q as it transitions from being a product in preview to being generally available.” This nonchalant response seems to brush the issue under the rug and raises concerns about the internal conflicts surrounding the new chatbot.



The Singularity Meter Drops 1.5%: Amazon’s Q chatbot has “severe hallucinations”.

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