NEWS

WeWork-owned Meetup confirms restructuring, layoffs

Published

5 years ago

November 4, 2019

wework owned meetup confirms restructuring layoffs

WeWork’s efforts to cut costs following the ouster of its chief executive officer and a delayed initial public offering looks to be impacting its subsidiaries. Meetup, which WeWork acquired for a reported $200 million in 2017, announced a round of layoffs this morning, TechCrunch has learned.

The company, which helps people foster in-person connections by facilitating events across the globe, has shed as much as 25% of its workforce, most of which were employees of the company’s engineering department, sources tell TechCrunch.

“Meetup’s top priority is building the best possible product for our community of more than 44 million members around the world,” a representative of the company said in a statement provided to TechCrunch. “Today we made some organizational changes with that goal in mind, including restructuring across some of our departments.”

The news follows WeWork’s own well-documented attempts at restructuring its high-loss business. Late last month, SoftBank provided the over-valued co-working business a much-needed lifeline in the form of a $5 billion loan, a $3 billion tender offer and another $1.5 billion in equity funding, according to The Wall Street Journal. That’s in addition to the billions already invested by the Japanese telecom giant, which now owns a roughly 80% stake. SoftBank’s mountain of cash had previously valued WeWork at an eye-popping $47 billion; the latest investment package, however, valued the company at just $8 billion.

Understandably, WeWork’s new leadership (former vice chairman Sebastian Gunningham and former president and chief operating officer Artie Minson are serving as co-CEOs) seem to be hyper-focused on its new cost-cutting strategy. Multiple reports have indicated the business is weighing sales of several of its subsidiaries, including Meetup, Managed by Q and Conductor. We’ve asked Meetup whether its parent company enforced the staff cuts and will update this story if we hear back.

As for WeWork, it must make a concerted effort to boost its balance sheet in the next few months if it plans to stay committed to a 2020 IPO. The company initially revealed its IPO prospectus in August, disclosing revenue north of $1.5 billion in the six months ending June 30 on losses of $904.6 million. Shortly after, its co-founder and former CEO Adam Neumann’s misbehaviors were published in a number of incriminating stories by The Wall Street Journal and other outlets. Neumann’s trashed reputation coupled with WeWork’s mounting losses forced the company to replace its founding CEO and shelve its IPO, which would have been the second-largest offering of 2019 behind only Uber.

Meetup, founded in 2002, was one of the first IRL social networks. Today’s cuts are not the first since WeWork came into the picture, according to earlier reporting by Gizmodo. Meetup shed roughly 10% of its staff amid negotiations for the acquisition and underwent cultural changes as managers pushed for growth and “more aggressiveness in the workplace.”

The future of Meetup is unclear. WeWork may move forward with a sale of the business or pressure its own cost-cutting measures on the company. In a recent email to Meetup members, CEO David Siegel wrote that he appreciated the recent outpouring of support from the community, as it became apparent the company was in a precarious position because of its owner.

“As you may be aware, there has been significant news about our parent company, WeWork, and what this means for the future of Meetup,” Siegel wrote. “As Meetup’s CEO, I want to personally tell you we’re as committed as ever to bringing people together in person.

TechCrunch

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NEWS

OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

Published

3 weeks ago

August 21, 2024

Max

OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

OpenAI has today announced the release of fine-tuning capabilities for its flagship GPT-4 large language model, marking a significant milestone in the AI landscape. This new functionality empowers developers to create tailored versions of GPT-4 to suit specialized use cases, enhancing the model’s utility across various industries.

Fine-tuning has long been a desired feature for developers who require more control over AI behavior, and with this update, OpenAI delivers on that demand. The ability to fine-tune GPT-4 allows businesses and developers to refine the model’s responses to better align with specific requirements, whether for customer service, content generation, technical support, or other unique applications.

Why Fine-Tuning Matters

GPT-4 is a very flexible model that can handle many different tasks. However, some businesses and developers need more specialized AI that matches their specific language, style, and needs. Fine-tuning helps with this by letting them adjust GPT-4 using custom data. For example, companies can train a fine-tuned model to keep a consistent brand tone or focus on industry-specific language.

Fine-tuning also offers improvements in areas like response accuracy and context comprehension. For use cases where nuanced understanding or specialized knowledge is crucial, this can be a game-changer. Models can be taught to better grasp intricate details, improving their effectiveness in sectors such as legal analysis, medical advice, or technical writing.

Key Features of GPT-4 Fine-Tuning

The fine-tuning process leverages OpenAI’s established tools, but now it is optimized for GPT-4’s advanced architecture. Notable features include:

Enhanced Customization: Developers can precisely influence the model’s behavior and knowledge base.
Consistency in Output: Fine-tuned models can be made to maintain consistent formatting, tone, or responses, essential for professional applications.
Higher Efficiency: Compared to training models from scratch, fine-tuning GPT-4 allows organizations to deploy sophisticated AI with reduced time and computational cost.

Additionally, OpenAI has emphasized ease of use with this feature. The fine-tuning workflow is designed to be accessible even to teams with limited AI experience, reducing barriers to customization. For more advanced users, OpenAI provides granular control options to achieve highly specialized outputs.

Implications for the Future

The launch of fine-tuning capabilities for GPT-4 signals a broader shift toward more user-centric AI development. As businesses increasingly adopt AI, the demand for models that can cater to specific business needs, without compromising on performance, will continue to grow. OpenAI’s move positions GPT-4 as a flexible and adaptable tool that can be refined to deliver optimal value in any given scenario.

By offering fine-tuning, OpenAI not only enhances GPT-4’s appeal but also reinforces the model’s role as a leading AI solution across diverse sectors. From startups seeking to automate niche tasks to large enterprises looking to scale intelligent systems, GPT-4’s fine-tuning capability provides a powerful resource for driving innovation.

OpenAI announced that fine-tuning GPT-4o will cost $25 for every million tokens used during training. After the model is set up, it will cost $3.75 per million input tokens and $15 per million output tokens. To help developers get started, OpenAI is offering 1 million free training tokens per day for GPT-4o and 2 million free tokens per day for GPT-4o mini until September 23. This makes it easier for developers to try out the fine-tuning service.

As AI continues to evolve, OpenAI’s focus on customization and adaptability with GPT-4 represents a critical step in making advanced AI accessible, scalable, and more aligned with real-world applications. This new capability is expected to accelerate the adoption of AI across industries, creating a new wave of AI-driven solutions tailored to specific challenges and opportunities.

GOOGLE

This Week in Search News: Simple and Easy-to-Read Update

Published

3 months ago

June 30, 2024

Entireweb News Bot

This Week in Search News: Simple and Easy-to-Read Update

Here’s what happened in the world of Google and search engines this week:

1. Google’s June 2024 Spam Update

Google finished rolling out its June 2024 spam update over a period of seven days. This update aims to reduce spammy content in search results.

2. Changes to Google Search Interface

Google has removed the continuous scroll feature for search results. Instead, it’s back to the old system of pages.

3. New Features and Tests

Link Cards: Google is testing link cards at the top of AI-generated overviews.
Health Overviews: There are more AI-generated health overviews showing up in search results.
Local Panels: Google is testing AI overviews in local information panels.

4. Search Rankings and Quality

Improving Rankings: Google said it can improve its search ranking system but will only do so on a large scale.
Measuring Quality: Google’s Elizabeth Tucker shared how they measure search quality.

5. Advice for Content Creators

Brand Names in Reviews: Google advises not to avoid mentioning brand names in review content.
Fixing 404 Pages: Google explained when it’s important to fix 404 error pages.

6. New Search Features in Google Chrome

Google Chrome for mobile devices has added several new search features to enhance user experience.

7. New Tests and Features in Google Search

Credit Card Widget: Google is testing a new widget for credit card information in search results.
Sliding Search Results: When making a new search query, the results might slide to the right.

8. Bing’s New Feature

Bing is now using AI to write “People Also Ask” questions in search results.

9. Local Search Ranking Factors

Menu items and popular times might be factors that influence local search rankings on Google.

10. Google Ads Updates

Query Matching and Brand Controls: Google Ads updated its query matching and brand controls, and advertisers are happy with these changes.
Lead Credits: Google will automate lead credits for Local Service Ads. Google says this is a good change, but some advertisers are worried.
tROAS Insights Box: Google Ads is testing a new insights box for tROAS (Target Return on Ad Spend) in Performance Max and Standard Shopping campaigns.
WordPress Tag Code: There is a new conversion code for Google Ads on WordPress sites.

These updates highlight how Google and other search engines are continuously evolving to improve user experience and provide better advertising tools.

FACEBOOK

Facebook Faces Yet Another Outage: Platform Encounters Technical Issues Again

Published

6 months ago

March 20, 2024

Max

Uppdated: It seems that today’s issues with Facebook haven’t affected as many users as the last time. A smaller group of people appears to be impacted this time around, which is a relief compared to the larger incident before. Nevertheless, it’s still frustrating for those affected, and hopefully, the issues will be resolved soon by the Facebook team.

Facebook had another problem today (March 20, 2024). According to Downdetector, a website that shows when other websites are not working, many people had trouble using Facebook.

This isn’t the first time Facebook has had issues. Just a little while ago, there was another problem that stopped people from using the site. Today, when people tried to use Facebook, it didn’t work like it should. People couldn’t see their friends’ posts, and sometimes the website wouldn’t even load.

Downdetector, which watches out for problems on websites, showed that lots of people were having trouble with Facebook. People from all over the world said they couldn’t use the site, and they were not happy about it.

When websites like Facebook have problems, it affects a lot of people. It’s not just about not being able to see posts or chat with friends. It can also impact businesses that use Facebook to reach customers.

Since Facebook owns Messenger and Instagram, the problems with Facebook also meant that people had trouble using these apps. It made the situation even more frustrating for many users, who rely on these apps to stay connected with others.

During this recent problem, one thing is obvious: the internet is always changing, and even big websites like Facebook can have problems. While people wait for Facebook to fix the issue, it shows us how easily things online can go wrong. It’s a good reminder that we should have backup plans for staying connected online, just in case something like this happens again.