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

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

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

📌 MAROKO133 Hot ai: US Navy taps Anduril’s Dive-XL autonomous submarine for long-r

The U.S. Navy and the Defense Innovation Unit have selected Anduril to participate in a program aimed at advancing autonomous undersea warfare.

Anduril will contribute its prototype extra-large autonomous underwater vehicle (XL-AUV), called Dive-XL, to the Combat Autonomous Maritime Platform Project (CAMP).

The initiative seeks to rapidly prototype and deploy long-range robotic submarines capable of operating in contested maritime environments.

The program reflects growing U.S. interest in autonomous systems that extend naval reach without putting sailors at risk.

The Defense Innovation Unit selected Anduril through a competitive Commercial Solutions Opening process.

The decision followed a demonstration that validated the vehicle’s endurance and range in operational conditions.

According to the company, its autonomous underwater vehicles have already accumulated more than 42,355 kilometers of travel and 6,752 mission hours.

CAMP aims to quickly prototype and field extra-large autonomous underwater vehicles for the U.S. Navy.

These systems can carry large payloads and travel long distances underwater.

Anduril will now conduct a long-duration demonstration of the Dive-XL within four months of receiving the contract.

The company already operates several Dive-XL vehicles in the United States. The demonstration will test their performance in operationally relevant scenarios.

For the Navy, the program offers a pathway to experiment with XL-AUVs at scale.

It also lays groundwork for potential future deployment across the fleet.

Autonomous fleets strategy

The Dive-XL prototype closely resembles the Ghost Shark XL-AUV that Anduril currently builds for the Royal Australian Navy.

In 2025, the company secured a program with Australia to deliver Ghost Shark vehicles and build a dedicated production facility.

That effort demonstrated the company’s ability to move faster than traditional defense procurement programs.

Today, Anduril manufactures Dive-XL systems in Sydney and operates a purpose-built facility in Quonset Point, Rhode Island. The facility can produce dozens of Dive-XL systems annually.

Andrew Nuss, who leads growth and strategy for Anduril’s maritime division, said the program aligns with new naval guidance.

“I think this is a great example of how these kinds of systems, through the Ghost Shark program in Australia and now the CAMP program here in the US, maybe can help accelerate that Hedge Strategy with this reliance on allies and partners,” Nuss told reporters.

Nuss referenced guidance from Chief of Naval Operations Adm. Daryl Caudle that calls for a “hedge force” strategy built around robotic systems.

Speaking about the strategy, Nuss said, “In CNO’s Hedge Strategy, he’s really trying to drive these robotic and autonomous systems towards interoperability, not just interoperability within his own platforms and systems, but interoperability with allies and partners.” (Breaking Defense)

Future of underwater warfare

Long-range autonomous undersea systems could reshape how navies operate beneath the ocean’s surface.

These vehicles allow forces to operate persistently and extend reach across vast maritime areas.

They can also integrate with crewed ships or other unmanned systems.

Shane Arnott, senior vice president of Anduril’s maritime division, said the system supports flexible operations.

For the United States and its allies, such systems offer a new way to project power underwater.

They also strengthen surveillance and deterrence capabilities in contested waters.

🔗 Sumber: interestingengineering.com