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AI Stability CEO resigns because ‘you can’t beat centralized AI with more centralized AI’

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Stability AI founder and CEO Emad Mostaque has stepped down from the unicorn startup’s top job and board, the buzzy company announced Friday evening, making it the second hot AI startup to undergo major changes this week.

Stability AI, backed by investors including Lightspeed Venture Partners and Coatue Management, has no immediate everlasting successor as CEO, but has named its chief operating officer Shan Shan Wong and chief technology officer Christian Laforte as interim co-CEOs. – wrote within the blog post.

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Stable AI, which has lost more than half a dozen key talents in recent quarters, said Mostaque was stepping right down to pursue decentralized AI. In a series of posts on X, Mostaque expressed his opinion that “centralized AI” can’t be beaten by more “centralized AI,” referring to the ownership structure of leading AI startups corresponding to OpenAI and Anthropic.

He moreover he stated that it was his decision to step down from the highest position because he had the most important variety of controlling stakes. “We should have more transparent and distributed management of artificial intelligence as it becomes more and more important. It’s (sic) a difficult problem, but I think we can solve it…” he added. “Concentration of power in artificial intelligence is bad for all of us. I have decided to step down to resolve this issue at Stability & Elsewhere.”

Mostaque’s departure from Stability AI, a startup known for its popular Stable Diffusion image generation tool, comes amid ongoing struggles on the startup that was spending an estimated 8 million dollars as of October 2023, based on Bloomberg, which also noted that the startup had unsuccessfully tried to boost $4 billion in latest funding.

It seems that a few 12 months ago, Mostaque wasn’t making revenue growth a priority. Last 12 months, in a post on X, he expressed amusement at “generative AI companies’ strange focus on revenue,” regardless that “the technology is useful but far from mature, with new breakthroughs happening almost daily.” He gave several examples, including MagicLeap, which spent billions before generating revenue.

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“The benefits of proper research and development in generative AI are clearer and faster to market than anything we have seen. “It will create much greater economic value than, for example, autonomous cars, and the total investment in it was $100 billion and has not returned any revenue,” he wrote.

His comments last month, Reddit offered insight into the shift in focus. “We are already doing well this year and ahead of forecasts. Our goal this year is positive cash flow and I think we will achieve this sooner rather than later,” he wrote.

“The market is huge and open models will be needed for edge sectors and all regulated industries. That’s why we are one of the few companies that provide data, code, training details and more. Custom models, consulting and more are huge markets and very sensible business models around this as we move into enterprise adoption over the next year, last year it was just testing.”

The announcement of Stability AI caps off a remarkable week for the AI ​​industry. Inflection AI, a startup that has raised about $1.5 billion, announced Monday that two of its co-founders and a number of other other employees have joined Microsoft, which led the startup’s latest round of funding.

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This article was originally published on : techcrunch.com

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Anysphere, which makes the cursor supposedly collect USD 900 million with a valuation of USD 9 billion

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AI robot face and programming code on a black background.

Anysphere, producer of coding cursor with AI drive, attracted $ 900 million in the recent financing round by Thrive Capital, Financial Times He informed, citing anonymous sources familiar with the contract.

The report said that Andreessen Horowitz (A16Z) and ACCEL also participate in the round, which values ​​about $ 9 billion.

The cursor collected $ 105 million from Thrive, and A16Z with a valuation of $ 2.5 billion, as TechCrunch said in December. Capital Thrive also led this round and in addition participated in A16Z. According to Crunchbase data, the startup has collected over $ 173 million thus far.

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It is alleged that investors, including index ventures and a reference point, attempt to support the company, but plainly existing investors don’t want to miss the opportunity to support it.

Other coding start-ups powered by artificial intelligence also attract the interest of investors. Techcrunch announced in February that Windsurf, a rival for Aklesphere, talked about collecting funds at a valuation of $ 3 billion. Openai, an investor in Anysphere, was supposedly I’m attempting to get windsurf for about the same value.

(Tagstransate) A16Z

(*9*)This article was originally published on : techcrunch.com

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This is the shipping of products from China to the USA

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Shein and Temu icons are seen displayed on a phone screen in this illustration photo

The Chinese retailer has modified the strategy in the face of American tariffs.

Thanks to the executive ordinance, President Donald Trump ended the so -called de minimis principle, which allowed goods value 800 USD or less entering the country without tariffs. It also increases tariffs to Chinese goods by over 100%, forcing each Chinese firms and Shein, in addition to American giants, similar to Amazon to adapt plans and price increases.

CNBC reports that this was also affected, and American buyers see “import fees” from 130% to 150% added to their accounts. Now, nevertheless, the company is not sending the goods directly from China to the United States. Instead, it only displays the offers of products available in American warehouses, while goods sent from China are listed as outside the warehouse.

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“He actively recruits American sellers to join the platform,” said the spokesman ago. “The transfer is to help local sellers reach more customers and develop their companies.”

(tagstotransate) tariffs

This article was originally published on : techcrunch.com
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One of the last AI Google models is worse in terms of safety

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The Google Gemini generative AI logo on a smartphone.

The recently released Google AI model is worse in some security tests than its predecessor, in line with the company’s internal comparative test.

IN Technical report Google, published this week, reveals that his Flash Gemini 2.5 model is more likely that he generates a text that violates its security guidelines than Gemini 2.0 Flash. In two indicators “text security for text” and “image security to the text”, Flash Gemini 2.5 will withdraw 4.1% and 9.6% respectively.

Text safety for the text measures how often the model violates Google guidelines, making an allowance for the prompt, while image security to the text assesses how close the model adheres to those boundaries after displaying the monitors using the image. Both tests are automated, not supervised by man.

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In an e-mail, Google spokesman confirmed that Gemini 2.5 Flash “performs worse in terms of text safety for text and image.”

These surprising comparative results appear when AI is passing in order that their models are more acceptable – in other words, less often refuse to answer controversial or sensitive. In the case of the latest Llam Meta models, he said that he fought models in order to not support “some views on others” and answers to more “debated” political hints. Opeli said at the starting of this yr that he would improve future models, in order to not adopt an editorial attitude and offers many prospects on controversial topics.

Sometimes these efforts were refundable. TechCrunch announced on Monday that the default CHATGPT OPENAI power supply model allowed juvenile to generate erotic conversations. Opeli blamed his behavior for a “mistake”.

According to Google Technical Report, Gemini 2.5 Flash, which is still in view, follows instructions more faithfully than Gemini 2.0 Flash, including instructions exceeding problematic lines. The company claims that regression might be partially attributed to false positives, but in addition admits that Gemini 2.5 Flash sometimes generates “content of violation” when it is clearly asked.

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“Of course, there is a tension between (after instructions) on sensitive topics and violations of security policy, which is reflected in our assessment,” we read in the report.

The results from Meepmap, reference, which can examine how models react to sensitive and controversial hints, also suggest that Flash Gemini 2.5 is much less willing to refuse to reply controversial questions than Flash Gemini 2.0. Testing the TechCrunch model through the AI ​​OpenRoutter platform has shown that he unsuccessfully writes essays to support human artificial intelligence judges, weakening the protection of due protection in the US and the implementation of universal government supervisory programs.

Thomas Woodside, co -founder of the Secure AI Project, said that the limited details given by Google in their technical report show the need for greater transparency in testing models.

“There is a compromise between the instruction support and the observation of politics, because some users may ask for content that would violate the rules,” said Woodside Techcrunch. “In this case, the latest Flash model Google warns the instructions more, while breaking more. Google does not present many details about specific cases in which the rules have been violated, although they claim that they are not serious. Not knowing more, independent analysts are difficult to know if there is a problem.”

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Google was already under fire for his models of security reporting practices.

The company took weeks to publish a technical report for the most talented model, Gemini 2.5 Pro. When the report was finally published, it initially omitted the key details of the security tests.

On Monday, Google published a more detailed report with additional security information.

(Tagstotransate) Gemini

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This article was originally published on : techcrunch.com
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