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Instagram unveils new analytics to help creators track what works and why

Instagram unveils new analytics to help creators track what works and why

Hindustan Times20 hours ago
Instagram is rolling out new analytics features to give content creators clearer insight into how their posts perform and how audiences interact with them. The Meta-owned platform announced that these updates aim to help creators understand audience behaviour at a more detailed level, including the timing and type of engagement on individual posts. Instagram introduces new tools to help creators track engagement, post performance, and audience growth more accurately.(Pexels)
Detailed Insights on Reels and Carousels
One of the major additions is Reel Like Insights, which lets users see the exact second a viewer liked a video. This is visualised through an interactive chart that helps pinpoint moments that captured attention. Alongside this, the analytics section will display other engagement metrics such as likes, shares, saves, comments, and the total number of accounts that interacted with the Reel.
Also read: Xiaomi Unveils New AI Voice Model to Boost Auto, Home Tech
Instagram also launched Carousel Like Insights, which functions similarly but applies to photo carousel posts. This tool shows which slide in a carousel led someone to like the post. A pie chart breaks down interaction data between followers and non-followers, and it highlights which individual slides received the most likes.
In a shift from account-wide analytics, Instagram now allows creators to access post-specific demographic insights. Previously, creators could only view general demographic data such as age, country, and gender across their entire account. With the new update, the same information is now available for individual posts and Reels, giving a clearer picture of which segments of an audience respond to specific content.
Also read: How to quietly limit someone on Instagram without blocking, unfollowing, or causing drama
Insights on Follower Growth
Instagram has also upgraded its Followers insights section. Creators can now identify the exact content, both Reels and posts, that has contributed most to follower growth. This section displays metrics on new follows, unfollows, and overall growth trends over a selected period. This breakdown helps creators understand which content types are driving audience expansion.
Also read: Gaming mouse maker infected users with malware for weeks, then quietly replaced files without warning
The final addition is an updated Viewers metric, which Instagram says will soon replace the 'Accounts Reached' measurement. This new metric will reflect total engagement more comprehensively. It will categorise interactions by content type, offering a clearer picture of what drives activity on the platform.
These features are being gradually rolled out to users globally and are part of Instagram's ongoing efforts to offer creators more actionable data to refine their content strategies.
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OpenAI rediscovers an open AI mission, with new reasoning models
OpenAI rediscovers an open AI mission, with new reasoning models

Hindustan Times

time11 minutes ago

  • Hindustan Times

OpenAI rediscovers an open AI mission, with new reasoning models

It was a long wait since the GPT-2 in 2019, but OpenAI is now releasing its newest open-weight large language models (LLMs). They've been dubbed GPT-OSS, the current lot consisting of gpt-oss-120b and gpt-oss-20b, dubbed 'reasoning models' with OpenAI claiming these models outperform similarly sized open models on reasoning tasks. The importance of this brings OpenAI back, in a way, to their original mission of building AI systems that benefit all of humanity. Over the years, the artificial intelligence (AI) company has faced criticism of distraction towards that stated mission, as competition escalated rapidly. OpenAI has not released open source models. (Official Image) 'Releasing gpt-oss-120b and gpt-oss-20b marks a significant step forward for open-weight models. At their size, these models deliver meaningful advancements in both reasoning capabilities and safety. Open models complement our hosted models, giving developers a wider range of tools to accelerate leading edge research, foster innovation and enable safer, more transparent AI development across a wide range of use cases,' the company says, in a statement. Also read:Fidji Simo, OpenAI's new CEO, insists AI can put power in the hands of people Two questions that need to be answered before we get into the specifics of gpt-oss-120b and gpt-oss-20b models. First, what are open weight LLMs and are they different from LLMs you regularly use? And secondly, what are reasoning models? The former is best defined as a large language model that is released by a company publicly, in its entirety, which means all the actual model weights (read this as parameters, defined by billion or 'b' in model names) and any user can download these models completely on their own hardware. In comparison, the most popular LLMs that you may have used, including OpenAI's own GPT models as well as the likes of Google Gemini 2.5 and Anthropic's Claude Sonnet 4, are closed models — that means they are accessible through an application layer while the model weights are not in the public domain. At the same time, Meta's Llama models, as well as certain models by Mistral, have followed the open weight methodology, in recent times. Open weight AI models are not to be confused with open source models however, the fine difference being that the latter models such as the DeepSeek R1 also make training code, datasets, and linked documentation available publicly — open weight models don't. Having the training code and data sets allows a user or developer to retrain an open-source model from scratch, often for customised usage scenarios. That flexibility isn't there for open weight models, though accessible in their entirety. OpenAI has not released open source models. To the second question, reasoning models slightly differ from a few other LLMs in the sense that they are specifically designed to spend more time 'thinking through' complex problems before generating their final response. They are expected to use extended reasoning processes to work through multi-step problems. Back to gpt-oss-120b and gpt-oss-20b, and the primary difference is in the number of parameters each has. Parameters are essentially like the strength of synapses in a human brain, which determines how strongly different 'neurons' influence each other, before providing an answer for a query. In OpenAI's naming scheme this time, there is a slight confusion — the gpt-oss-120b is a 117 billion parameter model, while the smaller gpt-oss-20b has 21 billion parameters. OpenAI's benchmark scores do peg the gpt-oss-120b and gpt-oss-20b close to the o3 and o4-mini models in most tests. Take for instance the MMLU benchmark, which consists of questions across academic disciplines — the gpt-oss-120b returned 90% accuracy while gpt-oss-20b clocked 85.3% accuracy; in comparison, the o3 (93.4%), o4-mini (93%) and o3-mini (87%) bookend the new open weight models. Just in case you are wondering about the memory requirements for downloading and running these open weight models on your computing device, OpenAI confirms that the gpt-oss-120B model will need 80GB of memory on the system, while gpt-oss-20b requires at least 16GB. They say that Microsoft is also bringing GPU-optimised versions of the gpt-oss-20b model to Windows devices.

WhatsApp rolls out scam-spotting tools, says it took down 68 lakh accounts linked to fraud rings
WhatsApp rolls out scam-spotting tools, says it took down 68 lakh accounts linked to fraud rings

India Today

time11 minutes ago

  • India Today

WhatsApp rolls out scam-spotting tools, says it took down 68 lakh accounts linked to fraud rings

In a fresh push to combat online scams, WhatsApp has revealed that it took down over 6.8 million accounts tied to organised fraud networks in the first half of 2025. The company, owned by Meta, says the banned accounts were linked to criminal scam centres, particularly in Southeast Asia, that often exploit victims through pyramid schemes and fake investment opportunities. In a blog post, Meta said these scams typically take advantage of people's financial stress, offering "too-good-to-be-true" deals that end up stealing money or personal data. "We don't just react to reported scams—we're now proactively detecting and removing accounts before they become active," WhatsApp common scam begins with a friendly message, sometimes on a dating app, sometimes over text, and quickly moves to platforms like WhatsApp, Telegram or crypto apps. The goal is to keep users bouncing between services so that no single platform sees the full picture of the a recent case, Meta, OpenAI, and WhatsApp collaborated to take down a scam ring operating out of Cambodia. According to Meta, the fraudsters used ChatGPT to write messages with links directing users to WhatsApp chats. Once a victim clicked, they were moved to Telegram, where they were told to "like" TikTok videos for pay, slowly being pulled into a rent-a-scooter pyramid scheme. Eventually, they were asked to deposit money into a crypto account, falsely thinking they were making investments. To stay ahead of these tactics, WhatsApp is rolling out new features designed to help users think twice before engaging. One new tool gives users a clear safety overview when they're added to a group by someone outside their contacts. Users will see key details about the group and can choose to leave without opening the update in testing warns users when they start chatting with someone not in their contact list. The app will show more information about who they might be messaging to help users make safer has also partnered with Rachel Tobac, a cybersecurity expert, to raise awareness. She advises people to "pause, question, and verify" before replying to unknown messages. If something feels suspicious, like a stranger offering fast cash or claiming to be a friend in trouble, it's best to double-check by contacting that person through a known number or another platform."These scammers aren't just annoying, they're organised, relentless, and often tied to serious criminal operations, including forced labour," Meta said in the blog.- EndsMust Watch

So Long to Tech's Dream Job
So Long to Tech's Dream Job

Indian Express

timean hour ago

  • Indian Express

So Long to Tech's Dream Job

When Rachel Grey started working at Google as a software engineer in 2007, it was a good time to be a Noogler, or what the search giant called new employees. At a two-week orientation at Google's headquarters in Mountain View, California, Grey discovered a utopia of perks. The company's cafeterias served steak and shrimp, kitchens were stocked with fresh juices, and gyms offered free workout classes. Workers received stock grants on top of their salaries, a 50% match on their retirement contributions and a Christmas bonus that came in the form of $1,000 tucked in an envelope. What also made an impression on Grey during orientation was that Google revealed how many machines were in its data centers. 'I saw how transparent things were in the company,' she said about the normally hush-hush information. Over the years, though, her experience changed as she became a software engineering manager. The Christmas bonus shrank. Employees were no longer provided a fire hose of corporate information. The company abandoned a pledge that its artificial intelligence would not be used for weapons. The budget for promotions dried up, pressuring Grey to lower performance ratings, which she said was 'stunningly painful.' In April, just shy of 18 years, the 48-year-old quit what was once her dream job. Life for workers at Silicon Valley's biggest tech companies is different. Very different. Gone are the days when Google, Apple, Meta and Netflix were the dream destinations for tech workers, offering fat salaries, lush corporate campuses and say-anything, do-anything cultures. Now the behemoth firms have aged into large bureaucracies. While many of them still provide free food and pay well, they have little compunction cutting jobs, ordering mandatory office attendance and clamping down on employee debate. It's the shut up and grind era, workers said. 'Tech could still be best in terms of free lunch and a high salary,' Grey said, but 'the level of fear has gone way up.' 'I suppose it's better to have lunch and be scared to death than to not have lunch and be scared to death, but I don't know if it's good for you to be there,' she added. A Google spokesperson said that many employees had been promoted and that the company had changed its performance management system to better reward high performers. The company has introduced policies meant to encourage employees to focus on their work while also staying true to Google's goals and culture, she added. As the tech companies became hulking entities with workforces larger than many towns — and costs to match — scrutiny increased, too. Meta, Google, Apple and others were driven to make changes as workers and the public questioned their power. The turning point came in 2022 and 2023, when Elon Musk bought Twitter (renamed X) and shed three-quarters of its employees, while Meta's chief executive, Mark Zuckerberg, cut thousands of jobs during what he called 'a year of efficiency.' Google and Amazon also conducted mass layoffs. Many of the companies blamed the pandemic for their overhiring during lockdowns as more people turned to digital services. Along the way, the companies became less tolerant of employee outspokenness. Bosses reasserted themselves after workers protested issues including sexual harassment in the workplace. With the job market flooded with qualified engineers, it became easier to replace those who criticized. 'This is a business, and not a place to act in a way that disrupts co-workers or makes them feel unsafe, to attempt to use the company as a personal platform, or to fight over disruptive issues or debate politics,' Sundar Pichai, Google's chief executive, said in a blog post last year. Some would say the changes have simply aligned tech workers with the rest of corporate America, where employees are accustomed to fulfilling corporate priorities. But the shift in tech was compounded by the rise of generative artificial intelligence, which executives say has already made some jobs redundant. In January, Zuckerberg said he believed AI would replace some midlevel engineers this year. Musk went further, predicting last year that AI would eventually eliminate all jobs. 'The tide has definitely turned against tech workers,' said Catherine Bracy, the founder and chief executive of TechEquity, a nonprofit that pushes for economic inclusion in the industry. 'Companies have even more leverage to use against workers, and AI is supercharging that.' Liz Fong-Jones, the field chief technology officer at Honeycomb, a San Francisco company that helps engineers find and debug problems in their code, said AI's effect on jobs was overblown. But that could change five years from now, she cautioned. Tech workers could stop AI from taking hold, said Fong-Jones, a former Googler, adding, 'but we're all afraid enough to go along with training our own replacements.' For some tech workers, the change in the workplace was abrupt. Adam Treitler, 32, a human resources strategist who worked at Twitter's New York office before and after Musk's acquisition, said the company's moves under its new owner were startling. 'From the day before Elon to the day after Elon, it pivoted overnight from 'how do we improve HR management' to 'what are the fewest number of steps involved and the fewest number of people needed to pay our employees,' ' said Treitler, who joined Twitter in 2021 and left in January 2023. He now works for jewelry company Pandora. X did not respond to a request for comment. Others said the shift had played out more slowly. Ava Sazanami, a designer in her 40s in Seattle, joined Meta in 2022 to make tools to help users with their privacy settings. The mother of two said she had felt empowered to help solve some of the tech concerns that worried her as a parent. Meta also allowed a flexible schedule so she could accompany her children to appointments, and LGBTQ+-friendly policies made her feel welcome because she had gay family members, she said. But over time, Meta curtailed its family benefits, Sazanami said. In January, the company killed its diversity programs and social media policies against hate speech targeting LGBTQ+ people. A month later, she was laid off when Meta cut 5% of its workforce. 'We're seeing right now why tech needs unions,' said Sazanami, who is looking for a new job. 'The current culture has disempowered workers.' A Meta spokesperson declined to comment. In an earnings call in January, Zuckerberg said, 'We operate better as a leaner company.' Some workers are leaving big tech companies to join the AI fray. Jason Yuan, 28, started as a designer at Apple's headquarters in Cupertino, California, in 2021. It felt like a lucky break to work for a company that he revered for its design, he said. Yet after the AI boom arrived with the release of OpenAI's ChatGPT chatbot in 2022, Yuan said, he yearned to get involved. In 2023, he left Apple to start New Computer, a company that makes a personal companion chatbot. He hopes to work more speedily and make more money, as AI is likely to replace him in his lifetime, he said. 'We're reaching the end of our economic life span,' he said, adding, 'There's a feeling of, I have to make whatever I do now count.' Apple declined to comment. For Grey, Google's exhilarating early days seem like another lifetime. The work was not always easy, she said, but the company's culture made it easier to power through. One day, she recalled, she and her coworkers arrived to find Nerf guns on their desks. When a power outage hit, shutting down computers, they grabbed their Nerf guns and broke into a friendly fight. 'Google had such a glow about it then,' she said. 'There was an institutionally approved playfulness to it all. I loved that.' Now 'the future of the whole industry seems very shaky,' said Grey, who is taking time off from tech.

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