📌 TOPINDIATOURS Eksklusif ai: Salesforce rolls out new Slackbot AI agent as it bat

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

📌 TOPINDIATOURS Hot ai: Structures 3D printed inside living human cells that has o

Human cells are extremely small and tightly packed – at about 20 micrometers across, roughly one-fifth the width of a human hair, each cell contains a dense mix of proteins, organelles, and molecular machinery. Being able to place tiny structures inside this space could allow scientists to track cells over time, measure chemical changes, or study how cells respond to physical forces.

Doing this has been difficult. Most cells cannot take in solid objects larger than about one micrometer. Immune cells can engulf foreign material, but this traps it inside membrane-bound compartments rather than releasing it into the cytoplasm, where it could interact freely with the cell. 

Other methods, such as microinjection or temporarily opening the cell membrane, work well for delivering molecules, but they have not been used to place solid, free-standing structures directly inside the cell.

Building functional structures inside living cells

Printing structures inside a living cell introduces a unique set of constraints though. The laser and the printing materials must function in a space smaller than the objects being created, all while avoiding toxic effects and preserving the cell’s internal structure.

Researchers in Slovenia have now shown that this can be done. In a study published in Advanced Materials, the team demonstrated that custom polymer microstructures can be fabricated directly inside living human cells using a laser-based method known as two-photon polymerization. The results point to a new way of building functional structures within cells, effectively turning the cellular interior into a site for precise biofabrication.

The process starts by placing the printing material inside the cell. Using ultra-fine glass needles, the researchers injected tiny droplets of a commercial photoresist, known as IP-S, into HeLa cells, a common human cell line. The material was carefully chosen to be compatible with living cells, remain non-toxic once hardened, and dissolve away if it was not fully solidified, Nanowerk reports.

After injection, each droplet, measuring about 10 to 15 micrometers across, was exposed to an ultrafast laser through a high-precision microscope. The laser triggered polymerization only at its focal point, enabling accurate three-dimensional shaping inside the cell. By scanning the focus through the material layer by layer at high speed, the team was able to build solid microstructures while leaving the surrounding cellular environment intact.

Cells adapt to printed structures within their interior

To demonstrate the method, the team printed a range of tiny shapes, including a 10-micrometer elephant, laboratory logos, hollow spheres, and lattice-like structures. Imaging confirmed that these objects were located inside the cell membrane, with cell nuclei visibly shifting shape to make room for the printed material.

The impact on cell survival was comparable to other invasive techniques. After 24 hours, about 55 percent of cells containing printed structures were no longer viable, similar to the roughly 50 percent mortality seen when the cell membrane was punctured without printing.

Cells that retained printed structures generally behaved normally. They maintained typical shape and continued to divide, and time-lapse imaging showed the printed objects being passed on to daughter cells during mitosis. Larger structures, however, had a measurable effect: objects bigger than 5 micrometers delayed cell division by at least an hour, suggesting that foreign bodies inside the cell can subtly alter its behavior.

At present, the method relies on individual cell injection, limiting it to small-scale use, though better materials and delivery techniques could improve scalability. Even so, the ability to print solid, precisely shaped objects inside the cytoplasm opens new possibilities, from applying controlled mechanical forces to enabling localized sensing or drug release.

🔗 Sumber: interestingengineering.com