MAROKO133 Eksklusif ai: Mark Zuckerberg Is Realizing That When You Treat Your Workers Like

📌 MAROKO133 Eksklusif ai: Mark Zuckerberg Is Realizing That When You Treat Your Wo

The two key ingredients to Mark Zuckerberg’s all-in AI push? Money, and a heaping serving of misanthropy. 

As part of his AI-first regime, Meta has fired thousands of employees while forcing the ones that remain to use the tech as much as possible, speeding them towards burnout. The expectation now is that they run a whole posse of AI agents that work in the background so a single employee can tackle multiple projects at the same time. If an employee doesn’t use AI enough, they’ll get dinged on their performance review. And while Meta’s future looks more uncertain than ever, Zuckerberg has turned his attention towards building a photorealistic AI clone of himself to make his micromanaging presence omnipresent throughout the company.

Morale, in other words, has been low. But it can and has gotten worse, after an executive essentially told staffers to suck it up when they questioned a sweeping new data-tracking initiative that many perceived as a thinly-veiled act of workplace surveillance, according to new reporting from The New York Times.

Last month, Meta leadership announced it would start tracking the mouse and keyboard inputs on tens of thousands of employees’ computers, with the ostensible mission of teaching its AI models “how people actually complete everyday tasks using computers.”

Seeing this as a clear violation of their privacy, employees immediately revolted. In response to the announcement, one engineering manager commented that the program made them “super uncomfortable” and asked how to “opt out.”

“There is no option to opt-out on your corporate laptop,” replied Meta chief technology officer Andrew Bosworth. His response was bombarded with over 100 angry and surprised emojis from employees, per the NYT.

Others spoke out. “Your callousness to the concerns of your own employees is concerning,” another employee told Bosworth. Bosworth insisted that the data the company gathers “is very tightly controlled” and that there was no “leak risk.”

Things got even more bleak days later, when Meta said it was laying off around 8,000 employees, in cuts that would allow the company to “to offset the other investments we’re making,” Meta’s head of human resource Janelle Gale said in an internal message obtained by the NYT.

Those “other investments,” of course, are being poured into AI. Raising its previous estimates, Meta projected it would spend $145 billion by the end of this year, the lion’s share being spent on data centers and other AI related costs.

A self-help cliche goes that change starts from within, and Meta has kickstarted the promised revolution AI will bring to the world by forcing it everywhere in its company. In March, it held an “AI Transformation Weeks” — yes, plural — program to teach employees how to use AI coding tools and agents, according to the NYT, and it also launched an internal dashboard to track how much they use their AI tools. Feeling the pressure to adopt the tech, there’re now so many AI agents throughout the company that employees are building AI agents to find other AI agents, and even rate them.

Meta may see itself as embracing the tech of the future, but Zuckerberg’s AI obsession is causing employees to worry about their own. Some told the NYT they no longer saw Meta as a place for a long career, and others said they were exploring new options. Some are even trying to get fired so they can get severance pay.

“It’s incredibly demoralizing,” one Meta employee wrote in an internal post.

In a statement, Meta insisted that its data tracking program was simply to train its AI models, not a surveillance scheme.

“There are safeguards in place to protect sensitive content, and the data is not used for any other purpose,” a spokesperson told the NYT.

More on Meta: Meta Had the Worst Possible Response When Its Workers Were Watching Naked Footage of Its Ray-Ban AI Glasses Users

The post Mark Zuckerberg Is Realizing That When You Treat Your Workers Like Human Garbage, They Might Not Like You Anymore appeared first on Futurism.

🔗 Sumber: futurism.com

📌 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 …

Konten dipersingkat otomatis.

🔗 Sumber: venturebeat.com