Google decides open-source AI ain't so bad after all
Google decides open-source AI ain't so bad after all
Elon Musk Is Right About OpenAI’s Hypocrisy
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Google decides open-source AI ain't so bad after all
Elon Musk Is Right About OpenAI’s Hypocrisy
US Used AI to Help Find Middle East Targets for Airstrikes
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Google decides open-source AI ain't so bad after all
Google has introduced Gemma, a new family of open-source AI models, marking a significant shift in its approach to sharing artificial intelligence technology. Gemma models are built on the same research and technology as Google's flagship Gemini models, offering a lightweight, state-of-the-art alternative for developers and researchers.
Gemma models are designed for a variety of language-based tasks, such as text generation, summarization, and chatbots. They are particularly suited for developers looking for state-of-the-art performance in smaller, more cost-efficient models. Google claims that despite their smaller size, Gemma models surpass significantly larger models on key benchmarks.
The release of Gemma represents a strategic shift for Google towards embracing open-source AI models. Tris Warkentin, director of product management at Google DeepMind, which developed the new Gemma models, said that the company was responding to software programmers telling it that they often used a combination of proprietary and open-source models in creating AI applications. The developers, he said, tended to rely on the more expensive proprietary models only when they really needed to use the extra capabilities—such as composing text about what is happening in an image—at which those models excelled….
Originally by Jeremy Kahn of Fortune
AI brews beer and your big ideas
What’s your biggest business challenge? Don’t worry about wording it perfectly or describing it just right. Brain dump your description into AE Studio’s new tool and AI will help you solve that work puzzle.
Describe your challenge in three quick questions. Then AI churns out solutions customized to you.
AE Studio exists to solve business problems. They build great products and create custom software, AI and BCI solutions. And they once brewed beer by training AI to instruct a brewmeister and then to market the result. The beer sold out – true story.
Beyond beer, AE Studio’s data scientists, designers and developers have done even more impressive things working 1:1 with founders and executives. They’re a great match for leaders wanting to incorporate AI and just generally deliver outstanding products built with the latest tools and tech.
If you’re done guessing how to solve work problems or have a crazy idea in your back pocket to test out, ask AI Ideas by AE Studio for free solutions, right now.
Elon Musk Is Right About OpenAI’s Hypocrisy
Call it an epic troll by Elon Musk if you want, but the billionaire’s lawsuit against OpenAI puts a refreshing spotlight on the endless humanitarian posturing by AI businesses.
Musk has sued the world-leading AI company and its chief executive officer, Sam Altman, for breaking their founding agreement about building powerful AI systems “for the benefit of humanity.” OpenAI still touts that mission on its website, but Musk is calling BS: “In reality… OpenAI Inc. has been transformed into a closed-source de facto subsidiary of the largest technology company in the world: Microsoft,” his lawsuit, filed in a San Francisco court on Thursday night, says.
He’s right. But first, let’s bear in mind why Musk might be suing. The billionaire is notoriously thin-skinned and known for holding a grudge. In the years after he invested in and then failed to buy a rival AI company called DeepMind, he trash-talked its founder Demis Hassabis. After he backed OpenAI, he then tried to buy the company, and then when he was rejected, started his own AI firm, called X-ai.
Even so, Musk’s lawsuit points to an exasperating phenomenon among the world’s leading AI companies of starting life with promises to harness the transformative potential of artificial intelligence for the public good, only to end up falling under the sway of tech giants.
Just this week for instance, Mistral, one of the world’s hottest AI startups, looked destined to follow the same pattern. Based in Paris, Mistral has built AI models nearly as capable as ChatGPT for a fraction of the price and, crucially, made them open source, meaning anyone can use them for free if they have the computing resources. The company, which touts “fierce independence” and “a strong commitment to open, portable” AI on its website, has even put its models on torrent sites that people use to download pirated content.
But the latest AI system it announced on Monday is now closed source, and only available to customers of Microsoft’s Azure cloud service….
AI brews beer and your big ideas
What’s your biggest business challenge? Don’t worry about wording it perfectly or describing it just right. Brain dump your description into AE Studio’s new tool and AI will help you solve that work puzzle.
Describe your challenge in three quick questions. Then AI churns out solutions customized to you.
AE Studio exists to solve business problems. They build great products and create custom software, AI and BCI solutions. And they once brewed beer by training AI to instruct a brewmeister and then to market the result. The beer sold out – true story.
Beyond beer, AE Studio’s data scientists, designers and developers have done even more impressive things working 1:1 with founders and executives. They’re a great match for leaders wanting to incorporate AI and just generally deliver outstanding products built with the latest tools and tech.
If you’re done guessing how to solve work problems or have a crazy idea in your back pocket to test out, ask AI Ideas by AE Studio for free solutions, right now.
US Used AI to Help Find Middle East Targets for Airstrikes
The US used artificial intelligence to identify targets hit by air strikes in the Middle East this month, a defense official said, revealing growing military use of the technology for combat.
Machine learning algorithms that can teach themselves to identify objects helped to narrow down targets for more than 85 US air strikes on Feb. 2, according to Schuyler Moore, chief technology officer for US Central Command, which runs US military operations in the Middle East. The Pentagon said those strikes were conducted by US bombers and fighter aircraft against seven facilities in Iraq and Syria.
“We’ve been using computer vision to identify where there might be threats,” Moore said in an interview with Bloomberg News. “We’ve certainly had more opportunities to target in the last 60 to 90 days,” she said, adding the US is currently looking for “an awful lot” of rocket launchers from hostile forces in the region.
The military has previously acknowledged using computer vision algorithms for intelligence purposes. But Moore’s comments mark the strongest known confirmation that the US military is using the technology to identify enemy targets that were subsequently hit by weapons’ fire.
The US strikes, which the Pentagon said destroyed or damaged rockets, missiles, drone storage and militia operations centers among other targets, were part of the Biden administration’s response to the killing of three US service members in a Jan. 28 attack against….
By Katrina Manson of Bloomberg
Cheers! SBalley Team