Once again this winter, the snow is coming down with authority, and when this nor’easter winds down later today, there’ll be a new accumulation of 12 inches or more. By this time next week, we’re expecting at least another foot on top of that.
As a native New Englander, I’m prepared. We have shovels, sand and a guy who comes to plow our long driveway. But what really captures my attention is overhead. In winter, I’m obsessed with my roof — and with a simple tool that’s become an indispensable ally in maintaining my house properly during cold weather.
My roof rake.
Advertisement
Watch this: Keep Your House at This Temperature to Save Money
It’s not much to look at. Sixteen feet of aluminum pole with a perpendicular 22-inch-wide blue plastic blade at one end. But it makes all the difference in keeping melting snow from turning into streams of water that leak into the house. That’ll damage walls, ceilings, light fixtures and anything else that’s under the drip, drip, drip. Over time, it could develop into a mold problem.
Inside your house, leak detectors are handy gadgets for all kinds of water mishaps, but prevention is always the better policy.
If you live in an area that’s in the path of snowy winter weather, pay attention to the buildup on your roof. In one sense, snow on the roof is a positive thing. It indicates that you have sufficient insulation in your ceiling and attic to prevent warm air from escaping, as well as proper ventilation to help keep the roof cool.
Advertisement
But that snow will melt, producing runoff that heads downhill to your eaves and gutters. And that’s where the problem begins.
The winter of 2015 was a brutal one in Massachusetts, with roughly 90 inches of snow falling in less than a month. That year, the ice dams won.
Jon Skillings/CNET
As that water reaches the edge of your roof, it becomes more exposed to cold temperatures and it’ll refreeze, creating ice dams. Those frozen blockages will build up and prevent the next waves of meltwater from falling harmlessly off your roof. Where does that water go? It backs up under your shingles and through the roof decking, following a new gravitational pathway into your living spaces.
Advertisement
I have witnessed this leaking. I have repaired the damage. I have vowed never to let it happen again.
Which is why I’m outside right after every snowfall, raking away.
There aren’t any really compelling technological fixes for this problem. There is no Roomba for your rooftop. Whole-roof heating systems do exist, but they cost thousands of dollars and are a significant construction project. Here in New England, it’s common to see homes with a heating cable snaked along the lower portion of the roof, just above the eaves. But for my house, even that more modest option would likely run somewhere between $1,000 and $2,000 to install.
With any heating system, there’ll also be ongoing electricity costs and a potentially messy cycle of melting and refreezing.
Advertisement
A roof rake will set you back less than $200, and probably not even half that much. It’s low tech, and it works.
Watch this: I Drove an EV This Winter in Sweden to Prove It Could Be Done.
The right way to use a roof rake
I’ve been using my roof rake after every snowstorm, even the minor ones, for many a snowy winter here in central Massachusetts.
I had to learn the hard way. Before I bought my roof rake, I went after the ice dams themselves, after they’d already become way too thick, and water was dripping, sometimes fiercely, into the house. I was outside on a ladder, in the cold, whaling away with a hatchet. Not the way to go.
Advertisement
This is me, clearing the roof after a refreshingly light snowfall.
Jon Skillings/CNET
A roof rake is so much quicker and simpler — and again, it’s that all-important ounce of prevention. You stand on the ground, reach up with the rake and pull a big shovel’s worth of snow off the roof. Take a step or two and repeat the process. With light to moderate snowfall, I’ll get around my house in about 20 minutes. With heavy, icy accumulation, it takes me about twice that long.
Be aware that it can be a workout for your arms and shoulders. The rake doesn’t weigh much, but it is top-heavy, and you’re reaching up and away from your body. When the snow is thick, wet, crusty or all of the above, you’ll have to make an extra effort with each stroke.
Advertisement
But if you’re familiar with the often backbreaking work of shoveling snow, you’ll welcome the change of pace.
How much snow do you have to pull down? The guides I’ve read recommend clearing as much as 6 feet up from the eaves, and when I started raking my roof, I used to go just as far as I could reach. If I wasn’t hitting that 6-foot mark, I was getting close.
Over time, though, I’ve found that just 1 to 2 feet is generally sufficient. That’s the critical area, right past the eaves, where freezing and ice dam buildup take place.
The guides also advise going easy when scraping down to the roof shingles, so you don’t wear them out prematurely. I have to confess I’m not that fastidious — I’m usually dragging right along the shingles themselves, rather than trying to leave a thin coating of snow — and it hasn’t seemed to be a problem.
Advertisement
And for heaven’s sake, be mindful of where the power lines come into your house. You’re waving a metal pole in the air, after all.
Remember to wear heavy gloves when you’re roof-raking. The aluminum pole gets really cold to the touch.
Jon Skillings/CNET
How to shop for a roof rake
Like leaf rakes, roof rakes don’t have a lot of variety. A typicalroofrake comes with four 4-foot lengths of aluminum pole that you attach end to end to get the full length, plus the short blade attachment. (Mine has three 5-foot lengths, along with the blade segment.) The width of the blade ranges between approximately 17 and 24 inches.
Advertisement
The 16-foot length I have is enough for my house, a raised ranch, even on the side where the ground slopes away and I can get just the first foot or so of snow at the edge of the roof. If you have a taller house or you really want to clear way up high, you could always get additional sections. The blade section of my pole angles toward the roof, which is helpful.
Some rakes have little wheels on the bottom of the blade to avoid scraping directly on the shingles. Seems like a smart design.
Other roofrakes aren’t actually rakes at all. Instead of having a blade, the business end is open, with prongs holding one end of a plastic slide that runs parallel to the pole. You push into the snow, and the slide provides a slick runway for the snow to fall to the ground. I’ve never tried one of these, but having spent enough time wielding a standard roof rake, I have my doubts. It seems best suited for powder.
Prices for roof rakes typically range from $50 to $60 and can get to about $200. Years back, I bought a very basic model, and it’s still going strong — an excellent investment.
Advertisement
Gone are the days when I actually went up onto my roof and tried shoveling in addition to raking. In fairness, that was a legendary winter. In 2015, New England experienced four major snowstorms in less than a month, dumping about 90 inches of snow during that short span. No one could keep up.
But short of another “Snowmaggedon,” I know my roof rake will continue to serve me well. Whenever a snowstorm wanes, the two of us will head outside to start the clearing.
IBM shares plunged nearly 13% on Monday after Anthropic published a blog post arguing that its Claude Code tool could automate much of the complex analysis work involved in modernizing COBOL, the decades-old programming language that still underpins an estimated 95% of ATM transactions in the United States and runs on the kind of mainframe systems IBM has sold for generations.
Anthropic said the shrinking pool of developers who understand COBOL had long made modernization cost-prohibitive, and that AI could now flip that equation by mapping dependencies and documenting workflows across thousands of lines of legacy code. The sell-off deepened a rough 2026 for IBM, whose shares are now down more than 22% year to date.
Google has finally released Android 17 Beta 1 after wrapping up its previous testing phase. The release is live as of February 13, 2026. There are several performance improvements, along with updates to foldables and tablets. Additionally, there are a number of visual changes to the Pixel Launcher user interface. With this release, Google is emphasizing long-term development to pave the way for the next Android release.
One of the biggest highlights of Android 17 is Google’s stronger push toward large-screen optimization. Developers are now required to properly adapt their apps for foldables, tablets, and desktop-style modes. Orientation changes and resizable window support are no longer optional. This should lead to a smoother, more consistent experience on larger devices without layout issues.
Furthermore, Android 17 Beta 1 brings a slimmer home screen search bar with a cleaner look. The shortcut now sits inside the bar and can be customized with options like Gemini Live, Translate, or Song Search. Users can also remove the At a Glance widget. Minor tweaks include a refreshed brightness icon and clearer access to the volume panel.
Performance Improvements in Android 17
Google has rolled out various enhancements to the system to make the devices more efficient. The most exciting change includes the introduction of the generational garbage collection system. The update reduces CPU load by optimizing memory cleanup across various stages. This minimizes CPU load.
Moreover, Android 17 improves app memory management to ensure better utilization of system resources. The update also includes notification-related optimizations that lower memory consumption. Although these upgrades run quietly in the background, they improve speed, stability, and overall device performance.
Advertisement
Media and Camera Enhancements
The update introduces advanced tools for media and camera apps. Users will notice smoother transitions between camera modes and generally more solid performance. Google is also working on providing users with a more unified listening experience across different applications and devices.
How to install Android 17 beta 1 on your Google Pixel?
On your phone, go to Settings > System > Software updates.
Check for updates and install Android 17 Beta 1.
As with any beta software, users should expect occasional bugs and instability. It’s best suited for developers or enthusiasts comfortable with early builds rather than primary daily drivers.
Walk into any school and you will find teachers using classroom technology in very different ways. One teacher builds interactive lessons with embedded videos and real-time polls. Down the hall, another uses technology more selectively, focusing on core features that support daily instruction. Both are effective educators. Both deserve classroom technology that works for them — and their students.
The challenge isn’t that teachers need to change how they work; it’s that most classroom technology is designed with only one pathway in mind. When tools offer multiple entry points instead, they can meet teachers where they are while supporting a wide range of student needs.
Recently, EdSurge spoke with three educators who use ViewSonic’s interactive display technology in distinctly different ways: Rebecca Ganger, technology coach and Chromebook coordinator, who also teaches high school students to repair devices and sponsors her district’s middle school Technology Club; Elena Clemente, technology trainer with 29 years of teaching experience in early elementary grades; and Brendan Powell, elementary STEM teacher. Their experiences illustrate what becomes possible when technology adapts to people rather than demanding that people adapt to it.
EdSurge: Why is it important that classroom technology offers multiple ways to engage?
Powell: Students need an engaging system to help them improve their understanding, and it makes learning more fun. Interactive technology helps a lot with coding, so my students can work through problems with me and are more engaged when they actually get to do the examples. Giving students choices helps them understand different concepts and piques their interest.
Advertisement
Clemente: Students learn in different ways, and teachers bring different approaches to their classrooms. While some students may prefer the interactive tools already displayed, others might prefer to choose which tool to use to demonstrate how to solve a math problem. The same goes for teachers. Some may prefer to use ready-made slides, while others prefer to create on the canvas. By offering choices, we allow both students and teachers to use technology in ways that make learning engaging.
Image Credit: ViewSonic
What makes technology feel approachable rather than intimidating for teachers at different comfort levels?
Clemente: As I have led several professional development sessions for teachers, I know that some want only the basics, such as writing on the canvas or projecting slides. Others have created engaging lessons that bring learning to life. All teachers are able to learn more.
I have found that it is best to demonstrate how to use a tool on the interactive panel, have teachers practice and then discuss how they can use it in their lessons. When teachers take that learning back to their classrooms and apply it in a lesson, the tool feels more approachable.
Ganger: Often, new technology requires you to learn so many things just to be able to use the basics and get started. Being able to use parts of the software and then incorporate more as you become familiar and comfortable is a huge plus. You can start with just a little bit of instruction and then learn more to incorporate additional tools into your lessons as you’re ready. You can use it at your comfort level, and it is also very user-friendly for student participation at the board.
What changes occur when students interact directly with classroom displays?
Advertisement
Powell: When students use the display in my classroom, they are more willing to talk to each other about the process and explain their ideas more clearly.
Ganger: They become more focused on the activity and are excited to participate. Students are so accustomed to auditory and visual sources being their primary ways of obtaining information. Having the opportunity to interact with technology fits into their natural way of learning.
Clemente: One of the big changes I have seen, or rather heard, is the amount of conversation that takes place. Students are able to express their thinking out loud while building speaking and listening skills. Students take pride in being able to share and navigate the interactive panel.
How do you keep students actively involved during interactive lessons?
Ganger: I personally enjoy adding a variety of interactive tools. I incorporate sounds, videos and links to other sites all within my presentation. I also enjoy using game boards with subject-specific questions as review activities. Varying the activities keeps things fresh and interesting for students.
Advertisement
Clemente: One way I keep students actively involved is by having them use their [individual] whiteboards to participate while I am projecting. Students know that they are accountable and that I am looking to call on them to share good examples and demonstrate their learning. I also use partner talks so that students can share what they are learning and gain different perspectives. Students love being called up to engage with the interactive panel, so I call them up in groups. They line up and take turns, or sometimes they work as a team and collaboratively solve the problem.
When it works well, how does technology change your teaching?
Clemente: When technology works well, it makes my job as a classroom teacher easier. I am able to easily share material, provide visually appealing interactive slides and engage with my students using hands-on learning activities that build their technical skills. As a technology trainer, I use technology to demonstrate how teaching can come to life, creating engaging lessons that have a positive impact on student learning.
Ganger: It frees up time typically spent lecturing in front of the room, allowing more one-on-one interaction with students. It provides immediate feedback and allows for easy differentiation of material. Being able to reach all types of learning styles with interactive boards and software is a game-changer.
Advertisement
Powell: The technology that works well in my room has changed how my students access information and made learning more flexible for all of them. One thing I like to say in my room is that technology can help us learn new skills and ways of thinking that will benefit us in the long run. Technology is always evolving, so it helps to have my students involved with me as I’m learning as well.
OpenAI is broadening how it helps large organizations put artificial intelligence into real use. The company announced a new initiative, Frontier Alliances, teaming up with four major consulting firms, Boston Consulting Group (BCG), McKinsey & Company, Accenture, and Capgemini, to help enterprises move beyond pilot AI projects and embed intelligent systems deeply into business workflows.
The announcement, published on OpenAI’s own website, lays out the reasoning behind the push: having powerful AI models isn’t the main bottleneck anymore.
Instead, companies need help designing the strategy, integrating the technology across systems and data, redesigning workflows, and managing organizational change so that AI can actually deliver value at scale.
Central to this effort is Frontier, OpenAI’s enterprise platform for building, deploying, and managing AI agents, systems that act like “AI coworkers,” performing tasks across software tools, extracting context from business data, and handling workflows end-to-end.
These agents are meant to go beyond simple chat or isolated automation, helping with customer support, sales processes, software development tasks, and more.
Advertisement
In its official press release, OpenAI described several key points about the Frontier Alliances:
The program pairs OpenAI’s Forward Deployed Engineering (FDE) teams with consultants from BCG, McKinsey, Accenture, and Capgemini to help enterprise customers adopt AI reliably and at scale.
Each consulting partner will build dedicated practice groups certified on OpenAI technology, combining technical expertise with deep industry and transformation experience.
The alliances cover both strategy and operational execution; from planning AI adoption to integrating Frontier with core systems and training internal teams.
Leaders from each consulting firm feature prominently in the announcement, stressing that teams need more than just tools, they need governance, change management, and end-to-end support to embed AI into daily operations.
This marks a clear strategic shift for OpenAI. Earlier this year, the company introduced Frontier as a platform designed to give AI agents shared context and capabilities that go beyond isolated demos or narrow use cases.
But real world deployments require more than technology alone. Large enterprises often struggle with data silos, outdated systems, and the internal alignment needed to scale new technology.
Advertisement
The Frontier Alliances are meant to bridge that gap.
Reuters notes that this move brings OpenAI closer to traditional enterprise software players and differentiates its enterprise offering from simple model licensing by leaning into operational support and integration.
The consulting partners bring decades of experience in transformation and change management, helping customers make AI part of the everyday workflow rather than a one-off experiment.
OpenAI’s approach reflects broader industry trends. Enterprises have spent recent years experimenting with generative AI tools, but many have yet to turn early pilots into sustained production use.
Advertisement
By combining Frontier’s agent platform with consultancy know-how, OpenAI hopes to accelerate adoption and deliver measurable business impact more quickly.
Competition in enterprise AI services remains intense.
Companies like Anthropic, Microsoft, and Google are also targeting corporate customers with their own AI platforms and partnerships.
For OpenAI, the Frontier Alliances are a way to leverage trusted business networks and implementation experience, giving its platform a stronger path into large-scale deployment.
AI is revolutionizing the cybersecurity landscape. From accelerating threat detection to enabling real-time automated responses, artificial intelligence is reshaping how organizations defend against increasingly sophisticated attacks.But with these advancements come new and complex risks—AI systems themselves can be exploited, manipulated, or biased, creating fresh vulnerabilities.
In this session, we’ll explore how AI is being applied in real-world cybersecurity scenarios—from anomaly detection and behavioral analytics to predictive threat modeling. We’ll also confront the challenges that come with it, including adversarial AI, data bias, and the ethical dilemmas of autonomous decision-making.
Looking ahead, we’ll examine the future of intelligent cyber defense and what it takes to stay ahead of evolving threats. Join us to learn how to harness AI responsibly and effectively—balancing innovation with security, and automation with accountability.
Temporal co-founders Samar Abbas and Maxim Fateev have been tackling the same distributed systems problem since their days at Amazon, Microsoft, and Uber. But the AI boom has put the problem “on steroids” as agents move to production, according to Abbas — and investors have taken notice.
Temporal last week announced a $300 million Series D round led by Andreessen Horowitz, pushing its valuation to $5 billion — up from $2.5 billion in October.
Temporal’s revenue increased more than 380% year-over-year, reflecting demand for infrastructure services from companies using AI agents that are taking on more responsibilities.
“There is a massive platform shift happening,” Abbas told GeekWire. “And there is a whole layer of infrastructure being developed right now.”
Temporal’s pitch is something it calls “durable execution,” a new category Abbas says is about giving developers a simpler programming model for long-running, distributed workflows. Instead of wiring together queues, databases, retry mechanisms, and timers to handle failures, engineers write their logic as normal code and Temporal makes it durable behind the scenes.
Advertisement
Abbas and Fateev launched Temporal in 2019, after they helped build an open-source orchestration engine called Cadence during their time at Uber. The tool was used by companies including HashiCorp, LinkedIn, Airbnb, Coinbase, and others.
“Both of us have been obsessed about this problem space,” Abbas said, describing Temporal as “literally the fourth or fifth time we are building a similar system.”
During the cloud era, Abbas said, Temporal became a “reliability backbone” for developers building mission-critical applications. Now, as AI models get smarter and agents hit production, the company is seeing huge scale.
“We are kind of becoming the core piece of infrastructure which is powering the AI agentic wave,” Abbas said.
Advertisement
Temporal’s customer base ranges from OpenAI, which uses the platform for image generation, to Replit, which uses Temporal to orchestrate coding agents over extended sessions.
“As long-running agents become a primary driver of enterprise value, the execution layer beneath them becomes indispensable,” investors with Andreessen Horowitz wrote in a blog post. “Temporal wasn’t built in reaction to generative AI; it was built to make complex systems durable. But the agentic era has made that need undeniable.”
Asked about a potential AI bubble and broader hype, Abbas pointed to customers like Abridge in healthcare, where doctors can focus on patients instead of note-taking. He also noted transformation across legal workflows, coding agents, customer support, and research.
“There is real value being delivered to real users,” he said.
Advertisement
He envisions a future where “every human on the planet can be called a software developer” and the cost of building software keeps falling, driving demand for a reliable execution backbone.
Temporal is built as a remote-first company, with around 375 employees and 62 of them in the Seattle area. Abbas and Fateev have been based in the region for decades, and many early employees are here as well.
Abbas, who was previously CTO (he swapped roles with Fateev in 2024) said the software infrastructure expertise in Seattle is a good match for trends that Temporal is riding. “Seattle has the right ingredients of talent,” he said. “We’ll be doubling down and growing in the Seattle area.”
As for advice to other founders riding the AI wave, Abbas said it’s about getting clarity on how you deliver value and avoiding all other distractions. “Just know who your users are — are they able to drive value from the product you are building?” He said Temporal is laser-focused on that strategy — and it seems to be working.
According to AdWeek, the price for a 30-second commercial during Super Bowl LX has soared to $8 million, after NBC opened in the summer by offering spots for $7 million. As AdWeek notes, “due to demand, the company has already reached its cap for the number of spots that were available for advertisers to buy during the upfront season.”
$8 million for 30 seconds sometimes means turning a niche product into a national phenomena. The 30 seconds purchased by Ring went the other way. If you want to see how $8 million can be used to promote mass surveillance enabled by consumer products, here you go:
Sure, it looks pretty innocuous. And what could be better than turning Ring and Flock Safety’s network of cameras into a digital proxy for posting “LOST DOG” signs all over the neighborhood? Well, as it turns out, pretty much everyone saw how problematic this offering was, especially considering what’s already known about Ring, Flock Safety, and both companies’ rather cavalier attitude towards privacy and other aspects of the Fourth Amendment.
Advertisement
To begin with, the “Search Party” feature that allows people to access recordings and images captured by other people’s cameras is already on, which likely comes as a surprise to owners of these devices. Here’s what The Verge’s Jennifer Tuohy discovered last October, shortly after Ring announced its partnership with Flock Safety — a company best known for allowing cops to hunt down people seeking abortions and/or allowing federal officers to perform nationwide searches for whoever they might be looking for (which, of course, would be anyone looking kinda like an immigrant).
[I]t turns out that Search Party is enabled by default. In an email to customers this week, Siminoff wrote that the feature is rolling out to Ring outdoor cameras in November and noted, “You can always turn off Search Party.”
I checked my cameras this morning, and they were all automatically set to enable Search Party. And I’m not alone; Ring users on Reddit have also reported that their cameras have been enabled for Search Party.
This under-reported “feature” was exposed by Ring’s Super Bowl ad, which resulted in enough backlash that Flock Safety no longer has a Ring to wear. Back to Jennifer Tuohy and The Verge:
In a statement published on Ring’s blog and provided to The Verge ahead of publication, the company said: “Following a comprehensive review, we determined the planned Flock Safety integration would require significantly more time and resources than anticipated. We therefore made the joint decision to cancel the integration and continue with our current partners … The integration never launched, so no Ring customer videos were ever sent to Flock Safety.”
While that last sentence may be true, it appears sharing was on by default when it came to Ring’s own cameras. That Flock Safety never got a chance to participate is good to know, but “Search Party” has apparently been active since its implementation last year, even if it was limited to Ring devices.
Advertisement
And while Ring claims the Search Party feature can’t be used to search for “human biometrics,” that’s hardly comforting when it appears Ring definitely wants to add more of this kind of thing to its existing cameras.
On top of this, the company recently launched a new facial recognition feature, Familiar Faces. Combined with Search Party, the technological leap to using neighborhood cameras to search for people through a mass-surveillance network suddenly seems very small.
Ring insists this is not another mass surveillance tool, but rather something that attempts to recognize who’s at any user’s door when sending alerts, in order to differentiate friends and family members from strangers who might be within camera range. Again, there’s some utility to this offering, but the tech lends itself to surveillance abuses, especially when law enforcement may only be a subpoena away from accessing images and recordings captured by privately-owned devices.
Finally, the statement given by Ring only states that this won’t be happening right now, which is a wise choice considering its unpopularity at the moment. But that doesn’t mean Ring and Flock won’t seek to consummate this marriage of surveillance tech, albeit in a more private fashion that doesn’t involve alarming hundreds of millions of sports viewers simultaneously.
In today’s world, where more and more lives are online, social proof is very important. Things like likes, shares, reviews, and follower counts show what people think about something. These signs help people feel trust and want to join in. But, many do not read these numbers in the right way. Some feel short-term jumps matter most, but they miss seeing steady growth that can last. To get the best out of this, marketers need a clear plan for checking, giving credit, and trying out new ideas.
Social Proof Metrics
Social proof is not only about numbers that look good. It shows how people see your trust and fame. But the kind of feedback you get is not always the same. Likes and comments of how many followers you have have all given useful clues. Still, you have to look at the whole story to make the best choices.
Conversion rate: Tracks if social proof makes people do things we want, like signing up, downloading, or buying.
Retention metrics: Shows if the first interest turns into regular use or keeps people coming back over time.
Sentiment analysis: It looks as if the social proof shows good or bad feelings from people.
By looking at these numbers, marketers can see the difference between quick jumps in activity and real engagement. Stormlikes help them know what their audience truly cares about.
Attribution Challenges in Social Proof
One of the biggest challenges when using social proof is knowing where to give credit. Many campaigns can give a short burst of attention, but it’s very important to find out if these jumps in attention last over time. A lot of problems with tracking happen when people just look at simple numbers and do not link them to bigger business goals.
Last-click bias: Looking only at the last thing people do can make the effect of a social proof tactic appear bigger than it really is.
Channel overlap: Organic and paid campaigns often cross over, and this can make it hard to tell the effects apart.
Short-term spikes: A boost that happens for a short time, like from paid follower services or viral posts, may not show true growth in the long run.
Marketers need strong analytics systems to know which actions really help people buy and come back again, not just make the numbers look high.
Experimental Approaches to Measure Authentic Uplift
Testing is important when you want to see if your social proof ideas work. The only way to know the real effect of social proof on people is to do controlled experiments. This helps marketers find out what works and make choices using facts and data.
A/B testing: Compare content that has social proof and content that does not. This helps you see the differences in how people behave.
Time-based experiments: Add social proof slowly over time. Watch for short-term changes and also keep an eye on the bigger trends.
Geo or segment tests: Use social proof in certain groups or places. This lets you see the effect on people in one area or segment.
When you use these experiment ideas along with clear KPIs, you can tell the difference between short-term buzz and real growth.
KPIs to Track for True Social Proof
To make social proof work, marketers have to use both numbers and stories as key points. Do not look at just one simple sign, because that can give the wrong idea.
Advertisement
Quality of engagement: Not every like means the same thing. Comments, shares, and mentions show more interest.
Follower growth rate: A steady increase in followers can say more than a quick jump.
Referral traffic: Shows if people come from social proof to take useful actions on your important pages.
Customer value over time (CLV): Links social proof campaigns to results that matter for your business in the long run.
Influencer amplification: Find out if popular supporters really help their followers trust the brand.
These numbers show how social proof works. Marketers can use this to make their campaigns better and get results that last.
Ethical Considerations for Practices
It is important to think about ethics when you try out ways to use social proof. If you use numbers that are not real, or if you show fake likes and shares, people will not trust your brand. Here are the best things you can do:
Transparency: Clearly tell people about any paid work or testing.
Gradual scaling: Try things out on a small scale to stop fake excitement.
Complementary strategy: Use social proof with top content and true messaging.
Ethical testing helps keep growth safe and steady. It makes sure your work fits with what people expect and trust.
Social proof can help your brand, but you cannot judge its effect just by looking at surface numbers. A platform like Stormlikes may help when you test things, but only if you use it in the right way and measure the results well. Knowing how the data behind social proof works helps marketers come up with plans that keep people engaged for a long time and make your brand look good. If you understand what driving action is, you will do better in the long run.
Watch ITVX when outside the UK with NordVPN (exclusive free gift)
Airs Monday, 23 February
The Love Island All Stars season 3 finale airs on Monday, 23rd February so expect more twists before we find out if frontrunners Sean Stone & Lucinda Strafford will be crowned champions. But did you know that some viewers can watch Love Island for free with this streaming hack…
Here’s the hack: In the UK, all episodes of Love Island All Stars season 3 are available on ITVX. And guess what, it’s a totally free service.
Yep, you could binge the entire latest season of the dating show, including Saturday’s final episode of 2026, without paying a thing!
Outside the UK? If you’re away from Britain: use a strong VPN to access your free ITVX stream from anywhere.
Advertisement
How to watch the Love Island All Stars final for free
Set your VPN back to your usual UK location and you’ll find that you can sign up to ITVX.
It’s clearly a popular workaround for accessing Love Island All Stars without paying. If you fancy trying out the (frankly awesome) NordVPN, we’ve got a great free gift for your below…
Advertisement
How to watch from abroad (free gift)
NordVPN is our best VPN (we actually have our own in-house expert, Mike, who tests VPNs 24/7 and he rates NordVPN top for price, features, security, etc).
We also find Nord works best for streaming – allowing you to access your domestic streaming services when abroad.
You can sign up in minutes and start watching Love Island All Stars free…
Advertisement
Quick start: Using a VPN to watch Love Island All Stars final free
Once you’ve signed up with your VPN:
1. Open the NordVPN app.
2. Connect to a server based in the UK (London, etc).
Advertisement
3. Fire up ITVX. If that doesn’t work, try it in Google Chrome’s Incognito mode and you should be off to the races.
4. Watch the Love Island 2026 All-Stars final on streaming at no cost.
In conclusion
It’s been a rollercoaster season of Love Island All Stars and with the bumper 95-minute final episode fast approaching on Monday, February 23, the drama shows no signs of slowing down.
Advertisement
After plenty of romance, dumping and the chaos of ‘Hurricane Belle’, but with plenty of couples still left in the villa, there’s more heartbreak to come before all is said and done. And UK audiences are loving it, with this season already amassing over 53 millionstreams on ITVX.
US audiences can watch on Peacock, of course, but Brits away from home willing to use a VPN can still stream the entire season completely free with a good VPN.
If you’re awaiting the chaotic conclusion of the final installment of Love Island All Stars season 3, this might be the smartest – and cheapest – way to do it.
Advertisement
You may also be interested in…
We test and review VPN services in the context of legal recreational uses. For example: 1. Accessing a service from another country (subject to the terms and conditions of that service). 2. Protecting your online security and strengthening your online privacy when abroad. We do not support or condone the illegal or malicious use of VPN services. Consuming pirated content that is paid-for is neither endorsed nor approved by Future Publishing.
Despite AI’s progress in building complex software, the ubiquitous PDF remains something of a grand challenge — a format Adobe developed in the early 1990s to preserve the precise visual appearance of documents. PDFs consist of character codes, coordinates, and rendering instructions rather than logically ordered text, and even state-of-the-art models asked to extract information from them will summarize instead, confuse footnotes with body text, or outright hallucinate contents, The Verge writes.
Companies like Reducto are now tackling the problem by segmenting pages into components — headers, tables, charts — before routing each to specialized parsing models, an approach borrowed from computer vision techniques used in self-driving vehicles. Researchers at Hugging Face recently found roughly 1.3 billion PDFs sitting in Common Crawl alone, and the Allen Institute for AI has noted that PDFs could provide trillions of novel, high-quality training tokens from government reports, textbooks, and academic papers — the kind of data AI developers are increasingly desperate for.