openai

Is OpenAI about to drop a new ChatGPT upgrade? Sam Altman says ‘nah’

A screenshot circulating on Reddit and X suggested that OpenAI could be releasing its latest large language model GPT4.5 soon. Sam Altman later confirmed the “leak” was fake.

OpenAI CEO Sam Altman has denied the company is about to roll out a new version of its ChatGPT large language model, GPT4.5.

A purportedly “leaked” screenshot, which made the rounds on social media, including X on Dec. 14, showed a description of “GPT 4.5” that read:

However, many started to speculate the “leaked” screenshot was a hoax. A Reddit thread on r/OpenAI that was posted around Dec. 14 at 10:30 am UTC — the possible source of the “leak” — has been removed by the moderators. Some comments on the thread slammed the original poster for the “fake” post. 

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Google slashes price of Gemini AI model, opens up to developers

Google parent company Alphabet said it was slashing prices for its pro version of AI model Gemini and plans to make its tools more accessible to developers to create their own versions.

Alphabet, the parent company of Google, announced on Dec. 13 that it plans to slash the cost of a version of its most advanced artificial intelligence (AI) model, Gemini, and make it more accessible to developers.

According to reports, the company said the price for the Pro model of Gemini has been cut by 25%–50% from what it was in June.

Gemini was introduced in three variations on Dec. 6, with its most sophisticated version being able to reason and understand information at a higher level than other Google technology, along with computing video and audio.

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French startup Mistral AI closes $415M funding round

The French artificial intelligence startup Mistral AI closed a funding round worth around $415 million as it strives to be the EU’s rival to OpenAI.

French artificial intelligence (AI) startup Mistral AI has announced it raised €385 million ($415 million) in its latest funding round to develop its technology and open-source software.

Andreessen Horowitz and the company’s initial backers, Lightspeed Ventures, led the round, which closed on Dec. 11. This follows a previous funding round in June where Mistral raised $113 million in seed funding. The company is currently valued at around $2 billion.

Mistral AI focuses on open-source technology for generative AI tools, chatbot development and customizable features. It aims to make its products available to the general public in early 2024.

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Nirvana bassist Krist Novoselic led failed shareholder proposal asking Microsoft to study AI safety

“Proposal 13” asked Microsoft to consider the potential for shareholder harm if its AI products created legal issues for the company over the long term.

Krist Novoselic, co-founder and bass guitarist for the seminal rock band Nirvana, recently led a shareholder proposal presentation urging Microsoft to reevaluate its approach to generative artificial intelligence (AI).

Called Shareholder Proposal 13: Report on AI Misinformation and Disinformation, per a press release, the proposal was submitted by Arjuna Capital “on behalf of Krist Novoselic” and several other shareholder groups.

The proposal cited several key shareholder concerns, including the potential for Microsoft-developed or -backed models to participate in the spread of mass disinformation and misinformation.

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Microsoft faces UK antitrust probe over OpenAI deal structure

The regulator’s examination will assess whether the collaboration constitutes an “acquisition of control,” implying the substantial influence of one party over another.

The United Kingdom’s antitrust regulator is considering initiating a merger investigation into Microsoft’s multibillion-dollar collaboration with OpenAI.

This announcement resulted in a response from Microsoft, declaring that it only plays a non-voting observer role on the board of the ChatGPT maker.

The investigation announcement follows the ChatGPT maker’s disclosure that the United States tech giant would hold a non-voting board seat. The examination will assess whether the collaboration constitutes an “acquisition of control,” implying the substantial influence of one party over another, as stated by the Competition and Markets Authority (CMA) on Friday, Dec. 8.

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Google’s Gemini, OpenAI’s ChatGPT go head-to-head in Cointelegraph test

Comparisons of Google’s Gemini and OpenAI’s ChatGPT continue to flood internet social spaces, so we decided to put them to the test with questions of our own.

On Dec. 6, Google launched its latest artificial intelligence (AI) model, Gemini, which it claimed is the most advanced model currently available on the market — even better than the popular model developed by OpenAI, ChatGPT-4. 

This bold claim was treated like a challenge by community sleuths across the internet, who swiftly moved to examine the methods and benchmarks used by Google to assert Gemini’s supposed superiority and poke fun at the company’s marketing of the product.

David Gull, CEO of AI-powered wellness startup Vital, told Cointelegraph that each model, be it ChatGPT-4, Llama 2, or now Gemini, has its own set of strengths and challenges.

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Is Google’s Gemini smarter than OpenAI's Chatgpt? Community sleuths find out

After Google launched its new high-performance AI model Gemini and claimed it to be far superior to OpenAI’s GPT-4 users on social media began to challenge those claims.

Google launched its latest artificial intelligence (AI) model Gemini on Dec. 6, announcing it as the most advanced AI model currently available on the market, surpassing OpenAI’s GPT-4. 

Gemini is multimodal, which means it was built to understand and combine different types of information. It comes in three versions (Ultra, Pro, Nano) to serve different use cases, and one area in which it appears to beat GPT-4 is its ability to perform advanced math and specialized coding.

On its debut, Google released multiple benchmark tests that compared Gemini with GPT-4. The Gemini Ultra version achieved “state-of-the-art performance” in 30 out of 32 academic benchmarks that were used in large language model (LLM) development.

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Is Google’s Gemini really smarter than OpenAI's GPT-4? Community sleuths find out

After Google launched its new high-performance AI model Gemini and claimed it to be far superior to OpenAI’s GPT-4 users on social media began to challenge those claims.

Google launched its latest artificial intelligence (AI) model Gemini on Dec. 6, announcing it as the most advanced AI model currently available on the market, surpassing OpenAI’s GPT-4. 

Gemini is multimodal, which means it was built to understand and combine different types of information. It comes in three versions (Ultra, Pro, Nano) to serve different use cases, and one area in which it appears to beat GPT-4 is its ability to perform advanced math and specialized coding.

On its debut, Google released multiple benchmark tests that compared Gemini with GPT-4. The Gemini Ultra version achieved “state-of-the-art performance” in 30 out of 32 academic benchmarks that were used in large language model (LLM) development.

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Singapore releases National AI Strategy 2.0, plans for 15,000 AI experts

Singapore released an updated version of its National AI Strategy, including plans for boosting government competency, building a smart nation and increasing compute capacity.

The Singaporean government released its updated National AI Strategy 2.0 on Dec.

Singapore structured its AI strategy into three distinct systems consisting of 10 “enablers” that drive those systems and 15 action steps to make the system work.

The updated plan’s systematic approach focuses on three main areas of its society, including what it calls “activity drivers,” “people and communities,” and “infrastructure and environment.”

Building a smart nation

Among the action steps is Singapore’s plan to develop new AI “Centers of Excellence” across companies operating in the country to foster “sophisticated AI value creation and usage in key sectors.”

The updated AI plan also has benchmarks of equipping governmental agencies with “specialized knowledge, technical capabilities, and regulatory tools” and “sharpening” AI proficiency in all Singaporean public officers.

According to the vision, Singapore plans to use its government capacity to create resources to support AI adoption in the public sector.

Additionally, it said it plans to boost its quantity of “AI practitioners” or local experts to 15,000 through scaling up AI-specific training programs, technology and AI talent pipelines, and that it “remains open” to global talent.

The report said that various tech training programs centered around AI development have placed over 2,700 individuals in “good jobs” to date.

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How generative AI allows one architect to reimagine ancient cities

Cointelegraph spoke with architect and designer Tina Marinaki about her work using generative AI and text-to-image prompts to reimagine the ancient Athenian cityscape.

The emergence of generative artificial intelligence (AI) has presented modern society with new means for understanding and visualizing the world.

Meta, the parent company of social media platforms Facebook and Instagram, recently introduced new AI video and image-generating tools for creators, while OpenAI updated the premium version of its popular AI model ChatGPT to include powerful text-to-image generating capabilities. 

As the pace of AI development continues to accelerate rapidly, many artists are faced with the challenge of embracing the new tools as a part of their workflow while still managing to keep their unique vision. 

One such artist is the New York-based Greek architect Tina Marinaki, who has incorporated AI tools into her creative work and, in the process, created an online community of nearly 20,000 users on Instagram through “Athens Surreal,” which follows her reimagination of the ancient Athenian cityscape.

Cointelegraph spoke with Marinaki about incorporating AI into her work and how she reenvisions her home city using emerging technology.

She explained that the concept of Athens Surreal stemmed from the desire to understand “the way the different AI tools work” while testing ideas for a “different, sometimes romantic, sometimes utopian, futuristic Athens.”

Technical difficulties 

According to Marinaki, one of the primary difficulties working with text-to-image AI systems is “translating” an image description to communicate a vision with the AI systems.

“Other challenges are found in algorithmic ethnicity, gender or other biases when algorithms are trained using biased data.”

For example, she reported that a greater number of men can appear in AI-generated images even when a user’s parameters have no mention of gender, and in some cases, AI can create “racist or stereotypical images.”

Despite its biases in text-to-image generation, these weaknesses can lead to strengths if trained correctly.

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