MAROKO133 Hot ai: Remember That Robot Olaf Disney Was So Proud of? It Just Wiped Out So Ha

📌 MAROKO133 Update ai: Remember That Robot Olaf Disney Was So Proud of? It Just Wi

Disney’s much-hyped Olaf robot just got a faceful of pavement.

In a viral video, the animatronic of the beloved character from the “Frozen” films suddenly froze in place and fell over while performing in front of Disneyland Paris guests on Monday. The impact of its tumble was so violent that it sent the snowman’s carrot nose clattering across the ground.

The reaction was as if someone fainted on stage. A few let out gasps, yelps, and even shrieks. Shock quickly gave way to disappointment, however, as a crew of on-hand technicians grimly ushered Olaf away — one of whom dexterously replaces Olaf’s nose — eliciting jeers from the crowd.

“Pov: you waited 30 minutes to see Olaf and then this happens…” reads the text in the video, which was uploaded to TikTok.

The footage gets more incredible with each watch. Before its crashout, the robot Olaf is animatedly talking to the crowd and waving its twig arms. Its movements are eerily true to the film, so much so that it doesn’t feel like it belongs in this reality. Then the freeze occurs, and as it precariously tips backwards, you can see the proverbial light go out of its eyes. For many a wide-eyed child, the illusion of Olaf come to life melted before their eyes.

Disney had only debuted Olaf at its Paris theme park on Sunday, making this incident an unfortunate first impression. The company has been hyping the robot snowman for months now. Earlier this month, it even joined the stage with Nvidia CEO Jensen Huang for a live demo at the company’s GTC 2026 conference. (It’s powered by three internal computers, including an Nvidia Jetson Orin NX.)

Its creators had good reason to be hyped. Built and designed by roboticists at Disney Imagineering, the entertainment conglomerate’s research hub, everything down to Olaf’s little waddle as he walks to his eyebrow movements are near-perfect emulations of how he looks in the blockbuster animated movies. You can even yoink off its carrot nose and it’ll gasp and cackle.

Designing the robot posed an unusual challenge to engineers because of its head that’s nearly as large as its torso, and no visible neck connecting them. Olaf also doesn’t have traditional legs, but two stumps for feet.

Its internal mechanics were also loud, threatening to dispel the illusion of a living cartoon character. To dampen its noise, the team trained the AI controlling the robot’s motor systems in a virtual environment using a technique called reinforcement learning. Across 100,000 simulations, the AI was “rewarded” whenever it achieved its goal of producing as little noise as possible.

Why the Olaf robot malfunctioned is unclear. Perhaps it overheated: one of the design challenges the engineers faced was the host of actuators in its tiny neck controlling its huge head getting too hot. Reinforcement learning was used to address this, too, but the real world is always more challenging than a simulation.

More on robots: Strange Modular Robots Are Writhing Across Landscapes

The post Remember That Robot Olaf Disney Was So Proud of? It Just Wiped Out So Hard That His Carrot Nose Went Clattering Across the Pavement appeared first on Futurism.

🔗 Sumber: futurism.com

📌 MAROKO133 Breaking ai: Salesforce rolls out new Slackbot AI agent as it battles

Salesforce on Tuesday launched an entirely rebuilt version of Slackbot, the company's workplace assistant, transforming it from a simple notification tool into what executives describe as a fully powered AI agent capable of searching enterprise data, drafting documents, and taking action on behalf of employees.

The new Slackbot, now generally available to Business+ and Enterprise+ customers, is Salesforce's most aggressive move yet to position Slack at the center of the emerging "agentic AI" movement — where software agents work alongside humans to complete complex tasks. The launch comes as Salesforce attempts to convince investors that artificial intelligence will bolster its products rather than render them obsolete.

"Slackbot isn't just another copilot or AI assistant," said Parker Harris, Salesforce co-founder and Slack's chief technology officer, in an exclusive interview with Salesforce. "It's the front door to the agentic enterprise, powered by Salesforce."

From tricycle to Porsche: Salesforce rebuilt Slackbot from the ground up

Harris was blunt about what distinguishes the new Slackbot from its predecessor: "The old Slackbot was, you know, a little tricycle, and the new Slackbot is like, you know, a Porsche."

The original Slackbot, which has existed since Slack's early days, performed basic algorithmic tasks — reminding users to add colleagues to documents, suggesting channel archives, and delivering simple notifications. The new version runs on an entirely different architecture built around a large language model and sophisticated search capabilities that can access Salesforce records, Google Drive files, calendar data, and years of Slack conversations.

"It's two different things," Harris explained. "The old Slackbot was algorithmic and fairly simple. The new Slackbot is brand new — it's based around an LLM and a very robust search engine, and connections to third-party search engines, third-party enterprise data."

Salesforce chose to retain the Slackbot brand despite the fundamental technical overhaul. "People know what Slackbot is, and so we wanted to carry that forward," Harris said.

Why Anthropic's Claude powers the new Slackbot — and which AI models could come next

The new Slackbot runs on Claude, Anthropic's large language model, a choice driven partly by compliance requirements. Slack's commercial service operates under FedRAMP Moderate certification to serve U.S. federal government customers, and Harris said Anthropic was "the only provider that could give us a compliant LLM" when Slack began building the new system.

But that exclusivity won't last. "We are, this year, going to support additional providers," Harris said. "We have a great relationship with Google. Gemini is incredible — performance is great, cost is great. So we're going to use Gemini for some things." He added that OpenAI remains a possibility as well.

Harris echoed Salesforce CEO Marc Benioff's view that large language models are becoming commoditized: "You've heard Marc talk about LLMs are commodities, that they're democratized. I call them CPUs."

On the sensitive question of training data, Harris was unequivocal: Salesforce does not train any models on customer data. "Models don't have any sort of security," he explained. "If we trained it on some confidential conversation that you and I have, I don't want Carolyn to know — if I train it into the LLM, there is no way for me to say you get to see the answer, but Carolyn doesn't."

Inside Salesforce's internal experiment: 80,000 employees tested Slackbot with striking results

Salesforce has been testing the new Slackbot internally for months, rolling it out to all 80,000 employees. According to Ryan Gavin, Slack's chief marketing officer, the results have been striking: "It's the fastest adopted product in Salesforce history."

Internal data shows that two-thirds of Salesforce employees have tried the new Slackbot, with 80% of those users continuing to use it regularly. Internal satisfaction rates reached 96% — the highest for any AI feature Slack has shipped. Employees report saving between two and 20 hours per week.

The adoption happened largely organically. "I think it was about five days, and a Canvas was developed by our employees called 'The Most Stealable Slackbot Prompts,'" Gavin said. "People just started adding to it organically. I think it's up to 250-plus prompts that are in this Canvas right now."

Kate Crotty, a principal UX researcher at Salesforce, found that 73% of internal adoption was driven by social sharing rather than top-down mandates. "Everybody is there to help each other learn and communicate hacks," she said.

How Slackbot transforms scattered enterprise data into executive-ready insights

During a product demonstration, Amy Bauer, Slack's product experience designer, showed how Slackbot can synthesize information across multiple sources. In one example, she asked Slackbot to analyze customer feedback from a pilot program, upload an image of a usage dashboard, and have Slackbot correlate the qualitative and quantitative data.

"This is where Slackbot really earns its keep for me," Bauer explained. "What it's doing is not just simply reading the image — it's actually looking at the image and comparing it to the insight it just generated for me."

Slackbot can then query Salesforce to find enterprise accounts with open deals that might be good candidates for early access, creating what Bauer called "a really great justification and plan to move forward." Finally, it can synthesize all that information into a Canvas — Slack's collaborative document format — and find calendar availability among stakeholders to schedule a review meeting.

"Up until this point, we have been working in a one-to-one capacity with Slackbot," Bauer said. "But one of the benefits that I can do now is take this insight and have it generate this into a Canvas, a shared workspace where I can iterate on it, refine it with Slackbot, or share it out with my team."

Rob Seaman, Slack's chief product officer, said the Canvas creation demonstrates where the product is heading: "This is making a tool call internally to Slack Canvas to actually write, effectively, a shared document. But it signals where we're going with Slackbot — we're eventually going to be adding in additional third-party tool calls."

MrBeast's company became a Slackbot guinea pig—and employees say they're saving 90 minutes a day

Among Salesforce's pilot customers is Beast Industries, the parent company of YouTube star MrBeast. Luis Madrigal, the company's chief information officer, joined the launch announcement to describe his experience.

"As somebody who has rolled out enterprise technologies for over two decades now, this was practically one of the easiest," Madrigal …

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🔗 Sumber: venturebeat.com