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Snowflake’s ‘data agents’ leverage enterprise apps so you don’t have to

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Snowflake's 'data agents' leverage enterprise apps so you don't have to

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Today, data ecosystem giant Snowflake kicked off its BUILD developer conference with the announcement of a special new offering: Snowflake Intelligence.

Set to launch in private preview soon, Snowflake Intelligence is a platform that will help enterprise users set up and deploy dedicated ‘data agents’ to extract relevant business insights from their data, hosted within their data cloud instance and beyond, and then use those insights to take actions across different tools and applications, like Google Workspace and Salesforce.

The move comes as the rise of AI agents continues to be a prominent theme in the enterprise technology landscape, with both nimble startups and large-scale enterprises (like Salesforce) adopting them. It will further strengthen Snowflake’s position in the data domain, leaving the ball in rival Databricks’ court to come back with something bigger. 

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However, it is important to note that Snowflake isn’t the very first company to toy with the idea of AI agents for improved data operations.

Other startups including Redbird, Altimate AI and Connecty AI, are also exploring with the idea of agents to help users better manage and extract value (in the form of AI and analytical applications) from their datasets. One key benefit of Snowflake’s is that the agent creation and deployment platform will live within the same cloud data warehouse or lakehouse provider, eliminating the need for another tool.

What to expect from Snowflake’s data agents?

Ever since Neeva AI CEO Sridhar Ramaswamy took over as CEO, Snowflake has been integrating AI capabilities on top of its core data platform to help customers take advantage of all their datasets, without running into technical complexities. 

From the Document AI feature launched last year to help teams extract data from their unstructured documents and to fully-managed open LLM solution Cortex AI to Snowflake Copilot, an assistant built with Cortex to write SQL queries in natural language and extract insights from data, Snowflake has been busy adding such AI features.

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However, until now, the AI smarts were only limited to working with the data hosted within users’ respective Snowflake instances, not other sources.

How Snowflake Intelligence data agents work

With the launch of Snowflake Intelligence, the company is expanding these capabilities, giving teams the option to set up enterprise-grade data agents that could tap not only business intelligence data stored in their Snowflake instance, but also structured and unstructured data across siloed third-party tools — such as sales transactions in a database, documents in knowledge bases like SharePoint, information in tools like Slack, Salesforce, and Google Workspace. 

According to the company, the platform, underpinned by Cortex AI’s capabilities, integrates different data systems with a single governance layer and then uses Cortex Analyst and Cortex Search (part of Cortex AI architecture) to deploy agents that accurately retrieve and process specific data assets from both unstructured and structured data sources to provide relevant insights.

The users interact with the agents in natural language, asking business-related questions covering different subjects, while the agents identify the relevant internal and external data sources, covering data types like PDFs, tables, etc., for those subjects and run analysis and summarization jobs to provide answers.

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But that’s not all. Once the relevant data is surfaced, the user can ask the data agents to go a step further and take specific actions around the generated insights.

For instance, a user can ask their data agent to enter the surfaced insights into an editable form and upload the file to their Google Drive. The agent would immediately analyze the query, plan and make required API function calls to connect to the relevant tools and execute the task. It can even be used for writing to Snowflake tables and making data modifications.

Snowflake Intelligence data agent in action
Snowflake Intelligence data agent in action

We’ve reached out to Snowflake with specific questions about these data agents, including the breadth of data sources they can cover and tasks they can (or cannot) execute, but have not heard from the company at the time of writing.

It also remains to be seen how quickly and easily users can create and set up these data agents. For now, the company has only said it only takes a “few steps” to deploy them.

Baris Gultekin, the head of AI at Snowflake says the unified platform “represents the next step in Snowflake’s AI journey, further enabling teams to easily, and safely, advance their businesses with data-driven insights they can act on to deliver measurable impact.”

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No word on widespread availability 

While the idea of having agents that could answer questions about business data and then take specific actions with the generated insights to do organizational work sounds very tempting, it is pertinent to note that the capability has just been announced yet.

Snowflake has not given a timeline on its availability. It only says that the unified platform will go into private preview very soon.

However, the competition is intensifying fast, including from AI model provider startups such as Anthropic with its new Computer Use mode, giving users more options to choose from when it comes to turning autonomous agents loose on business data, and completing tasks from a user’s text prompt instructions.

The company also notes that Snowflake Intelligence will be natively integrated with the company’s Horizon Catalog at the foundation level, allowing users to run agents for insights right where they discover, manage and govern their data assets. It will be compatible with both Apache Iceberg and Polaris, the company added. 

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Snowflake BUILD runs from November 12 to 15, 2024.


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Pro-Harris TikTok felt safe in an algorithmic bubble — until election day

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Pro-Harris TikTok felt safe in an algorithmic bubble — until election day

In the weeks leading up to the US presidential election, Kacey Smith was feeling hopeful. Smith, who supported Vice President Kamala Harris’ campaign, says she knew it would be a close race between the Democratic nominee and Republican Donald Trump. But as she scrolled TikTok, she believed Harris would be victorious.

But Election Day approached, and she started to sense red flags in that positivity. She recalls TikTok serving her enthusiasm for reproductive choice with videos encouraging “women’s rights over gas prices” — implying, falsely, she thought, the choice was “either/or.” The rhetoric fit well inside her feed filled with strangers, but as a campaign strategy, it felt limiting and risky. “When I started seeing that messaging play out,” Smith says, “I started getting a little uneasy.” Her fears were borne out: Harris lost the popular vote and Electoral College and conceded the election to President-elect Trump.

Filter bubbles like TikTok’s recommendation algorithm are a common point of concern among tech critics. The feeds can create the impression of a bespoke reality, letting users avoid things they find unpleasant — like the real people in Smith’s life who supported Trump. But while there are frequent complaints that algorithmic feeds could serve users misinformation or lull them into complacency, that’s not exactly what happened here. Voters like Smith understood the facts and the odds. They just underestimated how convincingly something like TikTok’s feed could build a world that didn’t quite exist — and in the wake of Harris’ defeat, they’re mourning its loss, too.

TikTok’s algorithm is hyperpersonalized, like a TV station calibrated exactly to a user’s brain. Its For You page serves content based on what you’ve previously watched or scrolled away from, and breaking out of these recommendations into other circles of the app isn’t easy. It’s a phenomenon political activists must figure out how to adapt to, says Cristina Tzintzún Ramirez, president of progressive youth voter organization NextGen America.

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“It not only makes it harder for us to do our job, I think it makes it harder for candidates to do their jobs. It makes it harder for news media to do their job, because now you’re talking about having to inform a public that has so many different sources of information,” she says.

From the onset, the Harris campaign seemed to understand the power of these silos. On TikTok, where the Kamala HQ account has 5.7 million followers, an all-Gen Z team of staffers produced video after video that are, at times, indecipherable to the average person. If you saw a video stringing together clips of Harris saying things like “Donald Trump was fired by 81 million people” and “I have a Glock” with a gentle Aphex Twin song as the soundtrack, would you understand it as “hopecore”? The campaign bet that it didn’t really matter because the TikTok algorithm would carry it to people who did understand it. And at least to some extent, they were right.

Smith, like other TikTok users, knows that the platform recommends her content based on what she watches, saves, comments on, or likes. When pro-Trump content came across her For You page, Smith would purposely not engage and simply scroll away. 

“I don’t want my algorithm to think that I’m a Trump supporter, so I just want to scroll up and ignore it,” she says. 

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In hindsight, Smith wonders if that was the right thing to do or if a mix of different types of political content may have given her more insight into what the other side was saying, doing, and thinking. She likens it to being a liberal or progressive who consumes news from right-wing outlets like Breitbart or Fox News — not because you agree with the material, but because it’s helpful to know what messages are resonating with other types of voters. 

The echo chamber effect isn’t limited to politics: we don’t even really know what is popular on TikTok generally. Some of what we see may not be guided by our preferences at all. A report by The Washington Post found that male users — even liberal men — were more likely to be served Trump content on TikTok than women. According to data from Pew Research Center, about 4 in 10 young people regularly get news from TikTok.

TikTok obviously isn’t the only filter bubble out there. Two years into Elon Musk’s purchase of Twitter, now called X, the platform has morphed into a right-wing echo chamber, with content boosted by Musk himself. While TikTok is simply (as far as we know) serving people things they like to sell ads, the slant on X was a deliberate electoral strategy that paid off handsomely for Musk.

“I don’t think we know the full implications of X’s algorithm being rigged to feed us right wing propaganda,” Tzintzún Ramirez of NextGen America says. A recent Washington Post analysis found that right-wing accounts have come to dominate visibility and engagement on X. That includes an algorithmic boost to Musk’s own posts, as the billionaire angles for influence with the incoming administration. 

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Unlike somebody drinking from Musk’s algorithmic fire hose, a young person deep in a pro-Harris TikTok bubble likely wasn’t being fed racist “great replacement” theory stories or false claims about election fraud. Instead, they were probably seeing videos from some of the hundreds of content creators the Democratic Party worked with. Though the direct impact of influencers on electoral politics is difficult to measure, NextGen America’s own research suggests that influencer content may turn out more first-time voters.

“I should know better than to be fooled”

Alexis Williams is the type of influencer that Democrats were hoping could carry their message to followers. For the last several years, Williams has made content about politics and social issues and attended the Democratic National Convention this year as a content creator, sharing her reflections with 400,000 followers across TikTok and Instagram. Though Harris wasn’t a perfect candidate in Williams’ eyes, she felt Harris would win the presidency in the days leading up to the election.

“As someone with a literal engineering degree, I should know better than to be fooled,” Williams says. She was fed TikToks about a bombshell poll showing Harris ahead in Iowa; young women in Pennsylvania going to the polls in support of Harris; analysis about why it was actually going to be a landslide. Professional polls consistently showed a dead heat between Trump and Harris — but watching TikTok after TikTok, it’s easy to shake off any uncertainty. It was a world full of what’s frequently dubbed “hopium”: media meant to fuel what would, in retrospect, look like unreasonable optimism. 

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TikTok and the Harris campaign didn’t respond to The Verge’s requests for comment.

For many voters on TikTok, the Kamala HQ content fit in seamlessly with other videos. The campaign used the same trending sound clips and music and a casual way of talking to viewers that seemed, at times, borderline unserious. (The Trump campaign also used popular songs and post formats but didn’t seem as native to the platform — more like a politician’s attempt at TikTok.) But Smith says that even as a Harris supporter, there was a limit to how much of that she could stomach. At a certain point, the trends get old, the songs get overplayed, and the line between a political campaign and everything else on TikTok starts to get blurry. Kamala HQ, Smith says, started to feel like just another brand.

Williams’ confidence began to break down on Election Day, as she walked to a watch party. “I know what I’m seeing on the internet and everything, but I still had [something] in my heart that was like, I don’t see us having another Donald Trump presidency, but I also don’t see a world where a Black woman gets elected for president right now,” she says. She started to wonder whether that much had changed in the eight years since the last female presidential candidate. “You’re seeing all this stuff, and people are getting so excited, but this could be just a mirage.”

Filter bubbles are not a new phenomenon, and voters have a wide range of places to get hyperpartisan news apart from TikTok: blogs, talk radio, podcasts, TV. Whether on the right or the left, there’s a tendency to look around at what you see and assume it’s representative. But the false sense of certainty that TikTok brings is perhaps even more powerful. What we see on the platform is both uncomfortably personal and incredibly global: a video talking about something that happened on our neighborhood block might be followed up by someone across the country voting for the same candidate for the same reasons. It gives an illusion that you are receiving a diverse assortment of content and voices.

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As social media algorithms have gotten more precise, our window into their inner workings has gotten even smaller. This summer, Meta shut down CrowdTangle, a research tool used to track viral content on Facebook. A public TikTok feature called Creative Center — which allowed advertisers to measure trending hashtags — was abruptly restricted by the company after reporters used it to report on the Israel-Hamas war. It is harder than ever to understand what’s happening on social media, especially outside of our bubbles.

“As technology gets more advanced and more convincing, our idea of a communal reality might genuinely become archaic,” Williams says. “This election has really taught me that we are very much sucked into these worlds that we create on our phone, when the real world is right in front us.”

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D-Link devices are already being attacked after the company said it would no longer support them

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A person's fingers type at a keyboard, with a digital security screen with a lock on it overlaid.


  • Earlier this week, researchers discover a 9.2 flaw affecting multiple NAS models
  • D-Link says it won’t patch them since they reached end-of-life status
  • Crooks are now targeting them with available exploit code

Cybercriminals have begun targeting D-Link NAS devices, recently found to have a critical vulnerability, but which will not be patched due to being at their end of life.

Threat monitoring service Shadowserver recently sounded the alarm in a brief thread posted on X.

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Bizarre test shows light can actually cast its own shadow

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Bizarre test shows light can actually cast its own shadow


The shadow of a laser beam appears as a horizontal line against the blue background

Abrahao et al. (2024)

Light normally makes other objects cast shadows – but with a little help from a ruby, a beam of laser light can cast a shadow of its own.

When two laser beams interact, they don’t clash together like lightsabers in Star Wars, says Raphael Abrahao at Brookhaven National Laboratory in New York. In real life, they will simply pass through each other. Abrahao and his colleagues, however, found a way for one laser beam to block another – and make its shadow appear.

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The crucial ingredient was a ruby cube. The researchers hit this cube with a beam of green laser light while illuminating it with a blue laser from the side. As the green light passed through the ruby atoms, it changed their properties in a peculiar way that then affected how they reacted to the blue light.

Instead of letting the blue laser pass through them, the atoms affected by the green light now blocked the blue light, which created a shadow shaped exactly like the green laser beam. Remarkably, the researchers could project the blue light on a screen and see this “shadow of a laser” with the naked eye.

Abrahao says he and his colleagues had a long discussion of whether what they created really qualified as a shadow. Because it moved when they moved the green laser beam, they could see it without any special equipment and they managed to project it onto commonplace objects, like a marker, they ultimately decided in the affirmative.

Historically, understanding shadows has been crucial for understanding what light can do and how we can use it, he says, and this experiment adds an unexpected technique into scientists’ light-manipulation toolbox.

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Tomás Chlouba at the University of Erlangen–Nuremberg in Germany says the experiment uses known processes to create a striking visual demonstration of how materials can help control light. The ruby’s interactions with the laser, for instance, are similar to those of materials used in laser eye surgeries, which must be able to respond to laser light by blocking it if it gets dangerously intense.

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Meta fined €798m over ‘unfair’ Facebook Marketplace

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Meta fined €798m over 'unfair' Facebook Marketplace

Meta has been fined €798m (£664m) for breaking competition law by embedding Facebook Marketplace within its social network.

The European Commission said this meant alternative classified ads services had faced “unfair trading conditions”, making it harder for them to compete.

In addition to the fine, it has ordered Meta to stop imposing these conditions on other services.

Meta said it rejected the Commission’s findings and would appeal.

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EU antitrust head Margrethe Vestager said Facebook had impeded other online classified ads service providers.

“It did so to benefit its own service Facebook Marketplace, thereby giving it advantages that other online classified ads service providers could not match,” she added,

She said Meta “must stop this behaviour”, with the EU asking the firm to “refrain from repeating” the infringement.

Meta said the Commission had provided “no evidence” of harm either to competitors or consumers.

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“This decision ignores the market realities, and will only serve to protect incumbent marketplaces from competition.”

The ruling is the result of an investigation which the Commission opened in 2021, after Meta’s rivals complained that Facebook Marketplace gave it an unfair advantage.

Meta has not previously faced a fine from the EU over competition rules – though it was told to pay €110m in 2017 for not handing over correct information when it purchased WhatsApp.

The Irish Data Protection Commissioner has also previously fined Meta more than €1bn over mishandling people’s data when transferring it between Europe and the United States.

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And it also had to pay a comparatively tiny £50m in 2021, when the UK’s Competition and Markets Authority (CMA) accused it of deliberately breaking rules over its attempt to acquire Gif-maker Giphy – and ultimately demanded it sell the company altogether.

The decision comes as regulators are taking a firmer stance with big tech companies worldwide, with the US government considering a breakup of Google.

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3 great BritBox shows you should watch in November 2024

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3 great BritBox shows you should watch in November 2024

Netflix is great, but you as you peruse it and all the other American streaming options out there, you might find that there’s still something missing from your streaming diet. If you feel that way, you might consider checking out the many shows available on BritBox. The streaming service imports all of the best of what British TV has to offer.

If you’re looking through BritBox and wondering what to watch this month, we’ve got you covered. We’ve pulled together three of the best shows available on BritBox that you can check out in the month of November.

We also have guides to the best movies on Netflix, the best movies on Hulu, the best movies on Amazon Prime Video, the best movies on Maxand the best movies on Disney+.

Wagatha: A Courtroom Drama (2022)

Vardy v Rooney: A Courtroom Drama – 2022 – Trailer

Dramatizing a real-life defamation case, Wagatha tells the story of Vardy v. Rooney, a 2019 case in which Coleen Rooney stated in a social media post that she had been conducting an extended sting operation to discover who was leaking “false stories” about her life to the Sun. She claimed that Rebekah Vardy was behind the leaks, and this dramatization uses actual court transcripts to bring the case to life.

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Starring Good Omens actor Michael Sheen, the series is hugely compelling in part because it feels a little bit stranger than any fictional tale could be. It’s social media drama brought to life, and it’s more riveting than that description sounds.

You can watch Wagatha: A Courtroom Drama on BritBox.

River (2015)

River Season 1 Trailer | Topic

The Brits are truly experts at producing exceptional detective series, and River is a perfect example. The series stars Stellan Skarsgård as a brilliant but unstable detective who finds himself haunted by the ghosts of the murder victims he’s investigated. As he investigates the death of one of his colleagues, his increasingly erratic behavior begins to concern his fellow officers.

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Skarsgård is excellent in the lead role, and River is compelling in part because it really questions whether this particular detective’s brilliance is worth all the pain that he causes. River is only a single season, but you’ll love every minute of it.

You can watch River on BritBox.

REG (2016)

BBC’s Reg | Official Trailer | BritBox

A brilliant and overtly political series based on a true story, REG follows a father who runs as an anti-war independent candidate in the 2005 parliamentary elections after the death of his son. As he searches for answers for what happened during the war, he becomes a lightning rod for the anger that had been building around the Iraq War since it started.

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Released just a decade after the events it depicts, REG is explicitly about the way Tony Blair lied to the people he was supposed to be serving, and led the U.K. into a war that turned out to be a disaster.

You can watch REG on BritBox.






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UGREEN’s Uno MagSafe Power Bank is already down to $34

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UGREEN's Uno MagSafe Power Bank is already down to $34

UGREEN showed off its new Uno MagSafe Power Bank with 5,000mAh capacity at IFA back in September, and now it is already discounted, down to just $33.74. This is the first price drop for Uno, and this is a 25% savings. So not too shabby.

This is a MagSafe power bank, but it will still work with many Android smartphones too, especially if you have a MagSafe case for your phone. It attaches to your phone quite easily, and does have a built-in stand, which is really great to have. As someone that’s been traveling a lot this year, having a built-in stand on my battery pack has really come in handy for watching movies on a flight.

On the backside, there is a LED display which will show you when it’s charging, and when it is being charged as well. So you can easily see the charge level on this battery pack. The LED screen might sound like a gimmick for a battery pack, but it is very useful.

At 5,000mAh, this should be able to charge your phone at least once, depending on the size of your phone. Most iPhones get almost an entire charge, but some other larger Android phones like the OnePlus 12 won’t be able to charge at full since the OnePlus 12 has a larger battery.

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