Technology
Researchers say OpenAI’s Whisper transcription tool has problems with hallucinations

According to. software engineers, programmers, and academic researchers have serious concerns about transcription from OpenAI’s Whisper report within the Associated Press.
While there has been no shortage of debate about generative AI’s tendency to hallucinate – essentially make things up – it’s somewhat surprising that that is a problem in transcription, where one would expect the transcription to closely follow the transcribed audio.
Instead, investigators told the AP that Whisper planted every part from racist comments to imaginary treatments within the transcripts. And this could possibly be especially devastating because Whisper is adopted into hospitals and other medical facilities.
A University of Michigan researcher examining public meetings found hallucinations in eight out of 10 audio transcripts. A machine learning engineer studied greater than 100 hours of Whisper transcripts and located hallucinations in greater than half of them. The developer reported finding hallucinations in almost the entire 26,000 transcripts he created using Whisper.
An OpenAI spokesman said the corporate is “continuously working to improve the accuracy of our models, including reducing hallucinations,” and noted that its terms of use prohibit the usage of Whisper “in certain high-stakes decision-making contexts.”
“We thank the researchers for sharing their findings,” they said.
Technology
Anysphere, which makes the cursor supposedly collect USD 900 million with a valuation of USD 9 billion

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.
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
Technology
This is the shipping of products from China to the USA

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.
“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
Technology
One of the last AI Google models is worse in terms of safety

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.
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.”
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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