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Investments in generative AI startups reached $3.9 billion in the third quarter of 2024

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Is OpenAI worth $100B?

Not everyone seems to be convinced about the return on investment in generative artificial intelligence. But many investors do, judging by the latest data from funding tracker PitchBook.

According to PitchBook, in the third quarter of 2024, VCs invested $3.9 billion in generative AI startups across 206 deals. (Not counting OpenAI’s $6.6 billion round). $2.9 billion of this financing went to U.S.-based corporations across 127 deals.

Big winners in the third quarter included coding assistant Magic ($320 million in August), enterprise search provider Glean ($260 million in September) and business intelligence company Hebbia ($130 million in July). Chinese company Moonshot AI raised $300 million in August, and Sakana AI, a Japanese startup focused on scientific discoveries, closed a $214 million tranche last month.

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Generative AI, a broad cross-section of technologies that features text and image generators, coding assistants, cybersecurity automation tools and more, has its detractors. Experts query the reliability of this technology and – in the case of generative artificial intelligence models trained without permission on copyrighted data – its legality.

However, VCs are effectively betting that generative AI will gain a foothold in large and profitable industries and that the challenges it faces now is not going to impact its long-term development.

Perhaps they’re right. AND The Forrester report predicts 60% of generative AI skeptics will use this technology – consciously or unconsciously – for tasks starting from summarization to creative problem solving. This is a rather rosier result than Gartner’s forecast earlier this 12 months that 30% of generative AI projects can be abandoned after proof of concept by 2026.

“Large customers are deploying production systems that use startup tools and open source models,” Brendan Burke, senior emerging technology analyst at PitchBook, told TechCrunch in an interview. “The latest wave of models shows that new generations of models are possible that can excel in scientific domains, data mining and code execution.”

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An enormous obstacle to the widespread adoption of generative AI is the enormous computational requirements of the technology. Bain analysts project in a recent release test that generative AI will drive corporations to construct gigawatt data centers – data centers that devour 5 to twenty times more energy than the average data center today – putting strain on an already strained labor and electricity supply chain.

There is already a requirement for data center power powered by generative AI extension life of coal power plants. Morgan Stanley estimates that if this trend continues, global greenhouse gas emissions by 2030 could possibly be thrice higher than they might be without the development of generative AI.

Several of the world’s largest data center operators, including Microsoft, Amazon, Google and Oracle, have announced investments in nuclear power to offset growing demand for non-renewable energy. (In September, Microsoft announced that it will draw power from the infamous Three Mile Island nuclear power plant.) But it could take years before these investments bear fruit.

Investment in generative AI startups shows no signs of slowing down – negative externalities be damned. ElevenLabs, the viral voice cloning tool, is reportedly searching for to lift $3 billion in funding, while Black Forest Labs, the company behind the notorious X image generator, is reportedly in talks for a $100 million funding round.

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This article was originally published on : techcrunch.com

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The latest model AI Google Gemma can work on phones

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It grows “open” AI Google, Gemma, grows.

While Google I/O 2025 On Tuesday, Google removed Gemma 3N compresses, a model designed for “liquid” on phones, laptops and tablets. According to Google, available in a preview starting on Tuesday, Gemma 3N can support sound, text, paintings and flicks.

Models efficient enough to operate in offline mode and without the necessity to calculate within the cloud have gained popularity within the AI ​​community lately. They will not be only cheaper to make use of than large models, but they keep privacy, eliminating the necessity to send data to a distant data center.

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During the speech to I/O product manager, Gemma Gus Martins said that GEMMA 3N can work on devices with lower than 2 GB of RAM. “Gemma 3N shares the same architecture as Gemini Nano, and is also designed for incredible performance,” he added.

In addition to Gemma 3N, Google releases Medgemma through the AI ​​developer foundation program. According to Medgemma, it’s essentially the most talented model to research text and health -related images.

“Medgemma (IS) OUR (…) A collection of open models to understand the text and multimodal image (health),” said Martins. “Medgemma works great in various imaging and text applications, thanks to which developers (…) could adapt the models to their own health applications.”

Also on the horizon there may be SignGEMMA, an open model for signaling sign language right into a spoken language. Google claims that Signgemma will allow programmers to create recent applications and integration for users of deaf and hard.

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“SIGNGEMMA is a new family of models trained to translate sign language into a spoken text, but preferably in the American sign and English,” said Martins. “This is the most talented model of understanding sign language in history and we are looking forward to you-programmers, deaf and hard communities-to take this base and build with it.”

It is value noting that Gemma has been criticized for non -standard, non -standard license conditions, which in accordance with some developers adopted models with a dangerous proposal. However, this didn’t discourage programmers from downloading Gemma models tens of tens of millions of times.

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(Tagstransate) gemma

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Trump to sign a criminalizing account of porn revenge and clear deep cabinets

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President Donald Trump is predicted to sign the act on Take It Down, a bilateral law that introduces more severe punishments for distributing clear images, including deep wardrobes and pornography of revenge.

The Act criminalizes the publication of such photos, regardless of whether or not they are authentic or generated AI. Whoever publishes photos or videos can face penalty, including a advantageous, deprivation of liberty and restitution.

According to the brand new law, media firms and web platforms must remove such materials inside 48 hours of termination of the victim. Platforms must also take steps to remove the duplicate content.

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Many states have already banned clear sexual desems and pornography of revenge, but for the primary time federal regulatory authorities will enter to impose restrictions on web firms.

The first lady Melania Trump lobbyed for the law, which was sponsored by the senators Ted Cruz (R-TEXAS) and Amy Klobuchar (d-minn.). Cruz said he inspired him to act after hearing that Snapchat for nearly a 12 months refused to remove a deep displacement of a 14-year-old girl.

Proponents of freedom of speech and a group of digital rights aroused concerns, saying that the law is Too wide And it will probably lead to censorship of legal photos, similar to legal pornography, in addition to government critics.

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Microsoft Nadella sata chooses chatbots on the podcasts

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Satya Nadella at Microsoft Ignite 2023

While the general director of Microsoft, Satya Nadella, says that he likes podcasts, perhaps he didn’t take heed to them anymore.

That the treat is approaching at the end longer profile Bloomberg NadellaFocusing on the strategy of artificial intelligence Microsoft and its complicated relations with Opeli. To illustrate how much she uses Copilot’s AI assistant in her day by day life, Nadella said that as a substitute of listening to podcasts, she now sends transcription to Copilot, after which talks to Copilot with the content when driving to the office.

In addition, Nadella – who jokingly described her work as a “E -Mail driver” – said that it consists of a minimum of 10 custom agents developed in Copilot Studio to sum up E -Mailes and news, preparing for meetings and performing other tasks in the office.

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It seems that AI is already transforming Microsoft in a more significant way, and programmers supposedly the most difficult hit in the company’s last dismissals, shortly after Nadella stated that the 30% of the company’s code was written by AI.

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