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Artificial Intelligence

Mozilla downsizes as it refocuses on Firefox and AI: Read the memo


After installing a new interim CEO earlier this month, Mozilla, the organization behind the Firefox browser, is making some major changes to its product strategy, TechCrunch has learned.

Specifically, Mozilla plans to scale back its investment in a number of products, including its VPN, Relay and, somewhat remarkably, its Online Footprint Scrubber, which launched only a week ago. Mozilla will also shut down Hubs, the 3D virtual world it launched back in 2018, and scale back its investment in its mozilla.social Mastodon instance. The layoffs will affect roughly 60 employees. Bloomberg previously reported the layoffs.

Going forward, the company said in an internal memo, Mozilla will focus on bringing “trustworthy AI into Firefox.” To do so, it will bring together the teams that work on Pocket, Content and AI/Ml.

Mozilla started expanding its product portfolio in recent years, all while its flagship product, Firefox, kept losing market share. And while the organization was often sharply criticized for this, its leadership argued that diversifying its product portfolio beyond Firefox was necessary to ensure Mozilla’s survival in the long run. Firefox, after all, provided the vast majority of Mozilla’s income, but it also meant the organization was essentially dependent on Google to continue this deal. With these changes, it now looks like Mozilla may refocus on Firefox once more, something that will surely make many hardcore Firefox fans quite happy.

Here is the full internal memo:

Scaling back investment mozilla.social: With mozilla.social, we made a big bet in 2023 to build a safer, better social media experience, based on Mastodon and the Fediverse. Our initial approach was based on a belief that Mozilla needed to quickly reach large scale in order to effectively shape the future of social media. It was a noble idea but one we struggled to execute. While we resourced mozilla.social heavily to pursue this ambitious idea, in retrospect a more modest approach would have enabled us to participate in the space with considerably greater agility. The actions we’re taking today will make this strategic correction, working through a much smaller team to participate in the Mastodon ecosystem and more rapidly bring smaller experiments to people that choose to live on the mozilla.social instance.

Protection Experimentation & Identity (PXI): We’re scaling back investment in some of our standalone consumer products in the Security and Privacy space. We are reducing investment in market segments that competitors crowd and where it is challenging to deliver a differentiated offering. Specifically, we plan to reduce our investments in VPN, Relay, and Online Footprint Scrubber. We will maintain investment in products addressing customer needs in growing market segments.Hubs: Since early 2023, we have experienced a shift in the market for 3D virtual worlds. With the exception of gaming, education, and a handful of niche use cases, demand has moved away from 3D virtual worlds. This is impacting all industry players. Hubs’ user and customer bases are not robust enough to justify continuing to dedicate resources against the headwinds of the unfavorable shift in demand. We will wind down the service and communicate a graceful exit plan to customers.

Right-sizing the People Team
Given the reduction in staffing and lower headcount budget moving forward in MozProd, some roles have been consolidated in the People and other support services orgs so that we are offering the right level of support to our product portfolio.Optimizing our org to sharpen focus
In 2023, generative AI began rapidly shifting the industry landscape. Mozilla seized an opportunity to bring trustworthy AI into Firefox, largely driven by the Fakespot acquisition and the product integration work that followed. Additionally, finding great content is still a critical use case for the internet. Therefore, as part of the changes today, we will be bringing together Pocket, Content, and the AI/ML teams supporting content with the Firefox Organization. More details on the specific organizational changes will follow shortly.Within MozProd, there are no changes within MDN, Ads, or Fakespot. There are also no changes to Legal/Policy, Finance & Business Operations, Marketing, or Strategy & Operations.



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by Team SNFYI

Facebook is testing a new feature that invites some users—mainly in the US and Canada—to let Meta AI access parts of their phone’s camera roll. This opt-in “cloud processing” option uploads recent photos and videos to Meta’s servers so the AI can offer personalized suggestions, such as creating collages, highlight reels, or themed memories like birthdays and graduations. It can also generate AI-based edits or restyles of those images. Meta says this is optional and assures users that the uploaded media won’t be used for advertising. However, to enable this, people must agree to let Meta analyze faces, objects, and metadata like time and location. Currently, the company claims these photos won’t be used to train its AI models—but they haven’t completely ruled that out for the future. Typically, only the last 30 days of photos get uploaded, though special or older images might stay on Meta’s servers longer for specific features. Users have the option to disable the feature anytime, which prompts Meta to delete the stored media after 30 days. Privacy experts are concerned that this expands Meta’s reach into private, unpublished images and could eventually feed future AI training. Unlike Google Photos, which explicitly states that user photos won’t train its AI, Meta hasn’t made that commitment yet. For now, this is still a test run for a limited group of people, but it highlights the tension between AI-powered personalization and the need to protect personal data.

by Team SNFYI

News Update Bymridul     |    March 14, 2024 Meesho, an online shopping platform based in Bengaluru, has announced its largest Employee Stock Ownership Plan (ESOP) buyback pool to date, totaling Rs 200 crore. This buyback initiative extends to both current and former employees, providing wealth creation opportunities for approximately 1,700 individuals. Ashish Kumar Singh, Meesho’s Chief Human Resources Officer, emphasized the company’s commitment to rewarding its teams, stating, “At Meesho, our employees are the driving force behind our success.” Singh further highlighted the company’s dedication to providing opportunities for wealth creation despite prevailing macroeconomic conditions. This marks the fourth wealth generation opportunity at Meesho, with the size of the buyback program increasing each year. In previous years, Meesho conducted buybacks worth over Rs 8.2 crore in February 2020, Rs 41.4 crore in November 2020, and Rs 45.5 crore in October 2021. Meesho’s profitability journey began in July 2023, making it the first horizontal Indian e-commerce company to achieve profitability. Despite turning profitable, Meesho continues to maintain positive cash flow and focuses on enhancing efficiencies across various cost items. The company’s revenue from operations for FY 2022-23 witnessed a remarkable growth of 77% over the previous year, amounting to Rs 5,735 crore. This growth can be attributed to Meesho’s leadership position as the most downloaded shopping app in India in both 2022 and 2023, increased transaction frequency among existing customers, and a diversified category mix. Additionally, Meesho’s focus on improving monetization through value-added seller services contributed to its revenue growth. Meesho also disclosed its audited performance for the first half of FY 2023-24, reporting consolidated revenues from operations of Rs 3,521 crore, marking a 37% year-over-year increase. The company achieved profitability in Q2 FY24, with a significant reduction in losses compared to the previous year. Furthermore, Meesho recorded impressive app download numbers, reaching 145 million downloads in India in 2023 and surpassing 500 million downloads in H1 FY 2023-24. Follow Startup Story Source link

by Team SNFYI

You might’ve heard of Grok, X’s answer to OpenAI’s ChatGPT. It’s a chatbot, and, in that sense, behaves as as you’d expect — answering questions about current events, pop culture and so on. But unlike other chatbots, Grok has “a bit of wit,” as X owner Elon Musk puts it, and “a rebellious streak.” Long story short, Grok is willing to speak to topics that are usually off limits to other chatbots, like polarizing political theories and conspiracies. And it’ll use less-than-polite language while doing so — for example, responding to the question “When is it appropriate to listen to Christmas music?” with “Whenever the hell you want.” But Grok’s ostensible biggest selling point is its ability to access real-time X data — an ability no other chatbots have, thanks to X’s decision to gatekeep that data. Ask it “What’s happening in AI today?” and Grok will piece together a response from very recent headlines, while ChatGPT, by contrast, will provide only vague answers that reflect the limits of its training data (and filters on its web access). Earlier this week, Musk pledged that he would open source Grok, without revealing precisely what that meant. So, you’re probably wondering: How does Grok work? What can it do? And how can I access it? You’ve come to the right place. We’ve put together this handy guide to help explain all things Grok. We’ll keep it up to date as Grok changes and evolves. How does Grok work? Grok is the invention of xAI, Elon Musk’s AI startup — a startup reportedly in the process of raising billions in venture capital. (Developing AI’s expensive.) Underpinning Grok is a generative AI model called Grok-1, developed over the course of months on a cluster of “tens of thousands” of GPUs (according to an xAI blog post). To train it, xAI sourced data both from the web (dated up to Q3 2023) and feedback from human assistants that xAI refers to as “AI tutors.” On popular benchmarks, Grok-1 is about as capable as Meta’s open source Llama 2 chatbot model and surpasses OpenAI’s GPT-3.5, xAI claims. Image Credits: xAI Human-guided feedback, or reinforcement learning from human feedback (RLHF), is the way most AI-powered chatbots are fine-tuned these days. RLHF involves training a generative model, then gathering additional information to train a “reward” model and fine-tuning the generative model with the reward model via reinforcement learning. RLHF is quite good at “teaching” models to follow instructions — but not perfect. Like other models, Grok is prone to hallucinating, sometimes offering misinformation and false timelines when asked about news. And these can be severe — like wrongly claiming that the Israel–Palestine conflict reached a ceasefire when it hadn’t. For questions that stretch beyond its knowledge base, Grok leverages “real-time access” to info on X (and from Tesla, according to Bloomberg). And, similar to ChatGPT, the model has internet browsing capabilities, enabling it to search the web for up-to-date information about topics. Musk has promised improvements with the …