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Google Releases Supercharged Version of Flagship AI Model Gemini

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Google has made good on its promise to open up its most powerful AI model, Gemini 1.5 Pro, to the public following a beta release last month for developers.

Google’s Gemini 1.5 Pro is able to handle more complex tasks than other AI models before it, such as analyzing entire text libraries, feature-length Hollywood movies, or almost a full day’s worth of audio data. That’s 20 times more data than OpenAI’s GPT-4o and almost 10 times the information that Anthropic’s Claude 3.5 Sonnet is capable of managing.

The goal is to put faster and lower-cost tools in the hands of AI developers, Google said in its announcement, and “enable new use cases, additional production robustness and higher reliability.”

Image: Google

Google had previously unveiled the model back in May, showcasing videos of how a select group of beta testers were capable of harnessing its capabilities. For example, machine-learning engineer Lukas Atkins fed the model with the entire Python library and asked questions to help him solve an issue. “It nailed it,” he said in the video. “It could find specific references to comments in the code and specific requests that people had made.”

Another beta tester took a video of his entire bookshelf and Gemini created a database of all the books he owned—a task that is almost impossible to achieve with traditional AI chatbots.

Gemma 2 Comes to Dominate the Open Source Space

But Google is also making waves in the open source community. The company today released Gemma 2 27B, an open source large language model that quickly claimed the throne of the open source model with the highest-quality responses, according to the LLM Arena ranking.

Google claims Gemma 2 offers “best-in-class performance, runs at incredible speed across different hardware and easily integrates with other AI tools.” It’s meant to compete with models “more than twice its size,” the company says.

Image: Google

The license for Gemma 2 allows for free access and redistribution, but is still not the same as traditional open-source licenses like MIT or Apache. The model is designed for more accessible and budget-friendly AI deployments in both its 27B and and the smaller 9B versions.

This matters for both average and enterprise users because, unlike what close models offer, a powerful open model like Gemma is highly customizable. That means users can fine tune their models to excel at specific tasks, protecting their data by running such models locally.

For example, Microsoft’s small language model Phi-3 has been fine tuned specifically for math problems, and can beat larger models like Llama-3 and even Gemma 2 itself in that field.

Image: Microsoft

Gemma 2 is now available in Google AI Studio, with model weights available for download from Kaggle and Hugging Face Models with the powerful Gemini 1.5 Pro available for developers to test it on Vertex AI.

Generally Intelligent Newsletter

A weekly AI journey narrated by Gen, a generative AI model.



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AGIX

Coinbase Won’t Support Upcoming AI Token Merger Between Fetch.ai, Ocean Protocol and SingularityNET

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2 days ago

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June 29, 2024

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Top US exchange Coinbase is not going to facilitate the planned merger of multiple artificial intelligence altcoin projects into a single new crypto.

In an announcement via the social media platform X, Coinbase says that customers will have to initiate the merger on their own.

“Ocean (OCEAN) and Fetch.ai (FET) have announced a merger to form the Artificial Superintelligence Alliance (ASI). Coinbase will not execute the migration of these assets on behalf of users.”

In March, Fetch.ai (FET), Singularitynet (AGIX) and Ocean Protocol (OCEAN) announced a plan to merge with an aim to create the largest independent player in artificial intelligence (AI) research and development, which they are calling the Artificial Superintelligence Alliance (ASI).

The merger is happening in phases, beginning July 1st, according to a recent project update.

“Starting July 1, the token merger will temporarily consolidate SingularityNET’s AGIX and Ocean Protocol’s OCEAN tokens into Fetch.ai’s FET, before transitioning to the ASI ticker symbol at a later date. This update enables an efficient execution of the token merger, and outlines the timelines and crucial steps for token holders, ensuring a smooth and transparent process.”

Coinbase says users can effect the merger on their own using their wallets.

“Once the migration has launched, users will be able to migrate their OCEAN and FET to ASI using a self-custodial wallet, such as Coinbase Wallet. The ASI token merger will be compatible with all major software wallets.”

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Impact & Future of Artificial Intelligence (AI) in Cryptocurrency Market

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3 days ago

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June 28, 2024

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Artificial Intelligence is fast becoming popular in most industries including the crypto. The thought of high-end machine learning and programming to perform advanced tasks has ignited widespread research. This led to an increase in buzzwords infused in many sectors creating positives and controversies.

AI has already left its footprint on the crypto market with investors looking forward to more trading functionalities, market utility, and analysis. On the part of developers, the technology makes things easier by scaling up programs and decentralized applications. However, there are some challenges involved pointed out by policy watchers. Here are the impact of AI on the crypto market. 

Artificial Intelligence on Trading

Artificial intelligence can be used to analyze large amounts of data with seamless algorithms which can help traders in some cases. AI tools can point out key market indices, trends, and technical analysis for trades. Most technologies can also be used to execute trades automatically making seamless transactions for users. 

The machine language can help the technology source news and industry data for community spaces as well as current sentiments.

Regulations and Security 

Authorities can leverage AI to provide an added layer of security to flush out certain types of scams. Crypto executives can also deploy the technology for a similar purpose on applications. The advanced algorithm can help with hack cases and fraud detection. 

However, Artificial Intelligence can be wrongly used to float some advanced-level scams that can cause losses running into millions. This is a downside to the positives widespread losses can cause a decline in sentiments plunging the asset class. 

Impact on AI Coins 

Apart from price and market analysis artificial intelligence has contributed to the growth of the market cap through AI coins. AI coins tend to surge with developments with big firms like Nvidia. This month, the chip maker became the largest company by market cap, and AI coin prices went through the roof. 

Also Read: Solana Hits Double Digit Weekly Gains: Is the Bear Trend Over?

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David is a finance news contributor with 4 years of experience in Blockchain Technology and Cryptocurrencies. He is interested in learning about emerging technologies and has an eye for breaking news. Staying updated with trends, David reported in several niches including regulation, partnerships, crypto assets, stocks, NFTs, etc. Away from the financial markets, David goes cycling and horse riding.

The presented content may include the personal opinion of the author and is subject to market condition. Do your market research before investing in cryptocurrencies. The author or the publication does not hold any responsibility for your personal financial loss.





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OpenAI Delays Release of Controversial Voice Feature, Sparking Backlash

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4 days ago

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June 27, 2024

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OpenAI, the artificial intelligence research company behind ChatGPT, pushed back the launch of its Voice Mode on Wednesday, a standout upcoming feature that made waves when it was showed off at its product update last month. The company said it needs “one more month” to work on it—and the announcement has sparked harsh criticism from users and the AI community.

Its Voice Mode was perhaps the most compelling announcement at the OpenAI event, unveiled alongside the release of its latest large-language model, ChatGPT-40. It allowed users to interact with the chatbot via voice and engage in a natural-sounding conversation.

The demonstration also invited comparisons to the science fiction film “Her,” featuring a virtual companion voiced by actress Scarlett Johansson. Johansson soon threatened OpenAI with legal action over the similar-sounding voice, and the company soon announced it was removing the voice from its library.

In announcing the delay, OpenAI said it was unable to advance the feature in a limited “alpha” release in June as planned because it needed more work.

“We’re improving the model’s ability to detect and refuse certain content,” the company explained. “We’re also working on improving the user experience and preparing our infrastructure to scale to millions while maintaining real-time responses.”

Users didn’t like what they read, and OpenAI’s announcement quickly met a wave of disdain from the AI community.

Many critics were quick to point out OpenAI’s history of overpromising and underdelivering, comparing its track record to its competitors. “Be like Anthropic,” tweeted AI enthusiast Ashutosh Shrivastava. “They don’t demo and create hype only to go silent for 3-4 months.”

AI Youtuber Matt Wolfe claimed the delay is part of OpenAI’s business strategy.

“Show off something exciting to demonstrate how far ahead of everyone else you are and then never actually let people use it,” he said, calling the move the “Sora Treatment.” Generative video tool Sora is another OpenAI product that has received extensive praise but is still not widely available.

Benjamin De Kraker, creator of FinalFrame AI, shared his frustrations, claiming that OpenAI touts specific features that are later killed due to lack of use or interest.

“Plugins died, GPT Store died, Voice is delayed, Memory is mediocre,” he tweeted, “Core model and API are solid, but all the ‘this changes how people use AI!’ hype stuff has bombed.”

The delay has also led many users to question the value of their ChatGPT Plus subscriptions. Peruvian medical researcher Patrick Wieghardt suggested that it might be time to end his subscription, while another user stated that they had already canceled theirs. “Right now I see no point in paying for what you’re offering for free anyway,” an AI newsletter publisher wrote.

Some observers think the full release of Voice Mode could be several months away. Ryan Morrison, AI Editor at Tom’s Guide, said he believes mid-November is a more realistic timeframe—after the U.S. elections.

OpenAI didn’t immediately respond to a request for comments from Decrypt.

Edited by Ryan Ozawa.

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A weekly AI journey narrated by Gen, a generative AI model.





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