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cross-posted from: https://lemmy.smeargle.fans/post/67654

HN Discussion

cross-posted from: https://psychedelia.ink/post/696271

BLOODALCHEMY is a new, actively developed, backdoor that leverages a benign binary as an injection vehicle, and is a part of the REF5961 intrusion set.

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Cisco on Thursday announced an agreement to buy cybersecurity and observability company Splunk for about $28 billion.

The big picture: Legacy tech giants are usually the last to recognize they're being disrupted, but that doesn't seem to be the case with AI.

Expect a lot more of these sorts of mergers, even if the targets aren't AI-native. Details: The $157 per share offer represents over a 31% premium to Wednesday's closing price for Splunk shares.

The last time Splunk traded above $157 per share was in early 2021. It's the networking giant's largest acquisition. Cisco says the merger will add roughly $4 billion in ARR, boosting its subscription and recurring revenue efforts. The purchase price will be financed via a combination of cash and debt, with a final closing by the end of Q3 2024, the company said. What they're saying: "This will help our customers move from threat detection and response to threat prediction and prevention," said Cisco CEO Chuck Robbins during a conference call Thursday morning.

"In terms of observability, our complimentary capabilities will offer observability for the full IT stack, from the application to the network, across hybrid and multi-cloud environments." Editor's note: This story was updated with additional details about the deal.

On Wednesday, OpenAI announced DALL-E 3, the latest version of its AI image synthesis model that features full integration with ChatGPT. DALL-E 3 renders images by closely following complex descriptions and handling in-image text generation (such as labels and signs), which challenged earlier models. Currently in research preview, it will be available to ChatGPT Plus and Enterprise customers in early October.

Like its predecessor, DALLE-3 is a text-to-image generator that creates novel images based on written descriptions called prompts. Although OpenAI released no technical details about DALL-E 3, the AI model at the heart of previous versions of DALL-E was trained on millions of images created by human artists and photographers, some of them licensed from stock websites like Shutterstock. It's likely DALL-E 3 follows this same formula, but with new training techniques and more computational training time.

Judging by the samples provided by OpenAI on its promotional blog, DALL-E 3 appears to be a radically more capable image synthesis model than anything else available in terms of following prompts. While OpenAI's examples have been cherry-picked for their effectiveness, they appear to follow the prompt instructions faithfully and convincingly render objects with minimal deformations. Compared to DALL-E 2, OpenAI says that DALL-E 3 refines small details like hands more effectively, creating engaging images by default with "no hacks or prompt engineering required."

If you noticed something funky going on with Salesforce and its software-as-a-service empire today, it's not you: it's recovering from an hours-long outage.

As of writing, Salesforce said at 1829 UTC (1130 PT) in a status update that all of its clouds are returning to normal after suffering about a four-hour downtime.

Well, all except for Salesforce's Tableau and Mulesoft, which remain down or affected to some extent.

The IT breakdown started at 1448 UTC, and we're told by the enterprise software giant this hit "customers across multiple clouds including, Commerce Cloud, Mulesoft, Tableau, Core, Marketing Cloud Account Engagement, Marketing Cloud Intelligence, and Omni Channel."

As a result, "users are unable to log into Salesforce or access any of their services," the biz admitted.

Two hours later, the team said its ClickSoftware, Trailblazer, and Data Cloud products were also affected. At first a third-party cloud provider was thought to be to blame for intermittent networking issues causing Salesforce services to fail.

Then the tech titan said, actually, a cloud provider wasn't at fault, and Salesforce engineers "successfully executed a rollback to mitigate the issue." By 1752 UTC, the biz said its cloud systems were getting back on track, and customers should be able to log in and use their applications as usual, as long as those apps weren't Tableau or Mulesoft.

Philip Paxson's family are suing the company over his death, alleging that Google negligently failed to show the bridge had fallen nine years earlier.

Mr Paxson died in September 2022 after attempting to drive over the damaged bridge in Hickory, North Carolina.

A spokesperson for Google said the company was reviewing the allegations.

The case was filed in civil court in Wake County on Tuesday.

Mr Paxson, a father of two, was driving home from his daughter's ninth birthday party at a friend's house and was in an unfamiliar neighbourhood at the time of his death, according to the family's lawsuit.

His wife had driven his two daughters home earlier, and he stayed behind to help clean up.

"Unfamiliar with local roads, he relied on Google Maps, expecting it would safely direct him home to his wife and daughters," lawyers for the family said in a statement announcing the lawsuit.

"Tragically, as he drove cautiously in the darkness and rain, he unsuspectingly followed Google's outdated directions to what his family later learned for nearly a decade was called the 'Bridge to Nowhere,' crashing into Snow Creek, where he drowned."

Local residents had repeatedly contacted Google to have them change their online maps after the bridge collapsed in 2013, the suit claims.

The Climate of Misinformation report by Climate Action Against Disinformation looked at Meta, Pinterest, YouTube, TikTok and Twitter for their content moderation policies and efforts to mitigate inaccurate information such as climate denialism. The group, which is made up of dozens of international climate and anti-disinformation organizations including Greenpeace and Friends of the Earth, released the report to draw attention towards climate misinformation on major platforms and makes the claim that big tech has become a “complicit actor” in accelerating the spread of climate denial.

Twitter’s low rank in the survey was because it failed to meet almost any of the organization’s criteria for climate misinformation policies, which ranged from having clear and publicly available information on climate science to having clearly articulated policies on what actions the company will take against the spread of misinformation. The report noted that billionaire tech mogul Elon Musk’s purchase of the company last year added to the confusion over how policies are enforced and how the company makes content decisions.

“Elon Musk’s acquisition of the company has created uncertainty about which policies are still standing and which are not,” the report stated.

Twitter received its only point in the report for fulfilling one of the researchers’ requirements that platforms have an easily accessible and readable privacy policy. Twitter was also the only platform to lack a clear reporting process for flagging harmful or misleading content for higher review.

Tech platforms have long struggled with creating effective or coherent policies on content moderation, while events such as the Covid-19 pandemic and the 2020 US presidential election resulted in swaths of misinformation circulating online. Amid conservative backlash and labor cuts in the tech industry, many companies have also deprioritized content moderation and opened the door to potential surges in misinformation on their platforms.

Although the other platforms fared better, none ranked especially high on the report’s scale – Pinterest scored highest with 12 points out of a possible 21. Issues ranged from a lack of clear definitions of what constituted climate misinformation, failure to enforce existing policies in a transparent way and a lack of proof that companies apply these policies equally across different languages. None of the companies release public reports on how their algorithmic changes affect climate misinformation, according to the report.

The organization’s authors advocate for a number of changes to big tech’s policies, including establishing clear guidelines on climate and updating privacy policies to show when private data is being sold to advertisers that could be linked to the fossil fuel industry.