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πŸ” OpenAI takes on Google: SearchGPT unveiled

Plus: AI spending skyrockets to billions.

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OPENAI

πŸ”“ OPENAI COUNTERS META'S MOVE?

OpenAI announced customization features for GPT-4o Mini, hours after Meta launched Llama 3.1, the most powerful open-source model to date.

Image: Ideogram

What's new with GPT-4o Mini?

  • Developers can now customize and fine-tune the model

  • Available to those already paying for access

  • Aims to provide a balance between security and flexibility

How does this compare to Meta's approach?

  • OpenAI traditionally guards its models, while Meta is more open

  • The move signals OpenAI's willingness to compromise

  • Seeks to maintain security while offering more tools for developers

Where do these models rank?

  • Llama 3.1's exact ranking is yet to be determined

  • GPT-4o and GPT-4o Mini currently top the LMSYS leaderboard

  • GPT-4o Mini is now nearly tied with the base model in performance

Why is efficiency becoming important?

  • GPT-4o Mini is about 20 times cheaper than the base model

  • AI startups face increasing energy costs

  • Efficiency could become as crucial as overall performance

What's the potential impact?

  • Could help OpenAI maintain its competitive edge against Meta

  • May influence the balance between open and closed-source AI development

  • Efficiency-focused models might become more prevalent in the industry

Today`s Pick

  • OpenAI announces its much-anticipated entry into the search market, SearchGPT, an AI-powered search engine with real-time access to information across the internet

  • Roboburger launched vending machine that makes the hamburgers in less than 6 minutes.

  • Google is rolling out updates to the no-fee tier of Gemini, its AI-powered chatbot focused on making the platform more performant β€” and more widely available.

  • Google DeepMind's AI systems, AlphaProof and AlphaGeometry 2, achieved a significant milestone in AI’s math reasoning capabilities, attaining a silver medal-equivalent score at this year's International Mathematical Olympiad (IMO).

  • Bing and DuckDuckGo will no longer be able to surface new Reddit posts due to the site’s exclusive AI partnership with Google.

  • Sam Altman revealed in a tweet reply that the GPT-4o-Voice Alpha rollout will begin next week for Plus subscribers, expanding OpenAI's voice generation capabilities.

  • Anthropic's web crawler allegedly violated website terms of use, with iFixit reporting nearly a million hits in 24 hours, raising concerns about AI companies' data collection practices.

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META

πŸ’ΈTHE AI MONEY PIT: HYPE OR HOPE?

Tech giants and VCs are pouring unprecedented amounts of money into AI development, with Alphabet's Q2 report showing a 91% surge in capital expenditures to $13.2B, including $2.2B for AI alone.

Image Credit: Meta

Are these investments paying off?

Not yet. Returns are far from showing a positive ROI, with one analyst suggesting we won't see "material" AI revenue until 2025 or even 2026.

How bad are the numbers?

  • OpenAI: Operating costs could hit $8.5B, with projected losses up to $5B this year

  • Anthropic: Making 1/5 to 1/10 of OpenAI's revenue while burning $2.5B in compute costs

Why keep spending?

Tech CEOs like Zuckerberg and Pichai argue it's necessary to avoid falling behind, likening the situation to a prisoner's dilemma.

What's at stake?

The AI hype is propping up the tech sector and, by extension, the broader economy. A lack of returns could trigger a significant market correction.

How volatile is the market?

Very. Nvidia's recent three-day stock plunge wiped out more value than 96% of the S&P 500 companies.

What's the bottom line?

While Big Tech bets big on AI's future, the lack of immediate returns raises questions about sustainability and potential market impacts. The race is on, but will the finish line meet expectations?

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