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| Here’s a look at today's AI briefing: - OpenAI and Meta to launch latest LLMs soon.
- Google, Intel unveil new chips for AI era.
- U.S. bill would force AI companies to disclose copyrighted training data.
- Microsoft to invest $2.9B in AI data centers in Japan.
- AI startups dominate Wing's list of enterprise tech companies.
Beth
p/beth-duckett | |
| 1 | | OpenAI and Meta are nearing the release of their latest large language models, reports the Financial Times. Meta will release Llama 3 within the next month, while OpenAI indicates that its upcoming model, likely GPT-5, will be released "soon." GPT-5: - Brad Lightcap, OpenAI's COO, told FT that the next GPT generation will show advancements in complex tasks and reasoning.
- OpenAI will have more to share "soon," he said.
- Sources recently told Insider that OpenAI could release GPT-5 around mid-year, possibly in the summer.
- One CEO, who was not named, said GPT-5 is "really good, like materially better" than GPT-4.
Llama 3: - Meta will launch Llama 3 in various sizes for different uses and devices over the coming months.
- The model will be integrated into Meta products, including WhatsApp and its Ray-Ban smart glasses.
- For example, the glasses' Llama-3 AI assistant could guide users on how to fix a broken machine using its onboard cameras.
- Joelle Pineau, Meta's VP of AI research, said the company is focused on making models that not only converse but reason, plan, and remember.
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| 2 | | Google and Intel each unveiled new chips on Tuesday. Google unveiled its first custom Arm-based CPU for data centers, while Intel announced the AI chip "Gaudi 3" to compete with Nvidia. Google's chip: - Axion, already powering Google services like YouTube Ads in Google Cloud, will launch to its cloud customers later this year.
- Google claims Axion outperforms the fastest Arm-based cloud instances by up to 30%.
- It targets Google's cloud rivals, Microsoft and Amazon, who have also developed Arm-based CPUs.
Intel's chip: - Gaudi 3 can train AI models and run AI software.
- Intel claims the accelerator can train large language models 50% faster and perform inference 1.5 times faster than Nvidia's H100.
- Gaudi 3 will launch to manufacturers like Dell in Q2, with broader availability later this year.
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| 3 | | U.S. Rep. Adam Schiff (D-Calif.) introduced a bill requiring AI companies to disclose the copyrighted works used to train their models or face fines. The Generative AI Copyright Disclosure Act would require the disclosure for both new and existing AI models. More: - The bill would require companies to disclose copyrighted works in their AI training datasets to the Copyright Register before launching new models.
- The companies would have to include URLs for any publicly available works.
- The Copyright Register would create a public online database with all the information.
Zoom out: - Schiff said the bill fosters innovation while protecting creators' rights, letting them know when their work is used in AI training datasets.
- The bill is supported by many entertainment organizations and unions, such as the Recording Industry Association of America, Professional Photographers of America, Writers Guild of America, and SAG-AFTRA.
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| 4 | | Microsoft plans to invest $2.9B in AI data centers in Japan by 2025, marking its largest investment in the country. The investment will expand Microsoft's cloud and AI infrastructure in Japan, train 3 million in AI, and create a Tokyo research lab. More: - The investment will also add advanced AI semiconductors to two existing data centers in Japan.
- The Tokyo AI and robotics lab will fund research projects worth nearly $10M over five years.
- Microsoft and the Japanese government will also work together to strengthen cybersecurity.
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| 5 | | AI startups are featured prominently in this year's Enterprise Tech list, featuring the top companies selling tech to businesses. The list was compiled by VC firm Wing and reported by Axios. 
Background: The ET30 list features 40 startups categorized into early-stage, mid-stage, late-stage, and "giga," with the early-stage group having the most AI companies. Large players like OpenAI and Anthropic made the list, as did earlier stage ones like Perplexity, ElevenLabs, Hugging Face, Modal Labs, Braintrust, and others. What the numbers show: 40% of this year's companies are "generative AI-native," with core founding principles centered on LLMs and foundational models. This is a big jump from only 3% in 2021. Another 13% are "generative AI-launch," meaning they recently rolled out major new generative AI features or products. Quotable: "This year's ET30 is heavily weighted towards AI, especially those companies building AI's infrastructure, tooling, and core model technologies," Wing founding partner Peter Wagner told Axios. What else: Close to half of this year's founders are from major tech players like Google, Meta, Microsoft, and OpenAI, with 29% originating from Google alone. | | | |
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- South Korea plans to invest nearly $7B in AI by 2027, with an additional $1B fund for AI semiconductor companies, President Yoon Suk Yeol announced.
- Tesla settled a lawsuit related to the 2018 death of an Apple engineer, whose car crashed while in Autopilot.
- Google unveiled two AI add-on packages for Google Workspace: one for AI meetings and messaging, and another for AI security. Each is priced at $10 per user per month.
- eBay introduced a GenAI "shop the look" feature in its iOS app, offering personalized fashion suggestions based on a user's shopping history.
- Dove reaffirmed its commitment to using only real photos of women in its ads, rejecting AI-generated imagery.
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 | AI and technology writer | | Beth is a contributing editor and writer of Inside's AI and Tech newsletters. She has written for publications including USA Today, the Arizona Business Gazette, and The Arizona Republic, where she received recognition with a Pulitzer Prize nomination and a First Amendment Award for collaborative reporting on state pension cost increases. You can reach her at Beth.Duckett@yahoo.com. | | This newsletter was edited by Beth Duckett | |
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