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DOGE Didn’t Cut Government Waste. It Was Government Waste.

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from the a-failure-at-any-level dept

Look, I get it. Government waste is real. Bureaucratic bloat is real. The desire to have a federal government that spends taxpayer money wisely and operates without unnecessary friction? That’s a pretty standard and quite reasonable desire in American politics. So when Elon Musk showed up promising he could cut $2 trillion in federal spending by bringing the vaunted “efficiency” of the tech world to the government, a lot of people — not just MAGA diehards, but regular people who’d spent time cursing at a federal website built in 2003 or waiting on hold with the DMV — thought: sure, maybe give it a shot. A decade of fawning tech press coverage about Elon Musk will do that to your priors.

We now have the receipts on how that went. And they’re absolutely damning.

Between a comprehensive forensic accounting from the New York Times published in December and a detailed report from House Oversight Committee Ranking Member Robert Garcia released in February, we can now do a proper post-mortem on DOGE. The diagnosis: the patient was dead on arrival, the surgery was performed by people who lied about their credentials, and the bill for the operation far exceeded anything that was supposedly “saved.”

Let’s start with the most basic question: did DOGE save the government money? Because that was, you know, apparently the whole point (or so we were told).

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The answer, as the Times bluntly puts it:

But the group did not do what Mr. Musk said it would: reduce federal spending by $1 trillion before October. On DOGE’s watch, federal spending did not go down at all. It went up.

Spending went up. Musk promised $2 trillion in cuts during the campaign, started walking that back almost immediately after the election, and the actual result was that the government spent more money. The entire exercise was supposed to pay for itself many times over. Instead, the taxpayer funded an $81 million operation that produced negative returns.

But DOGE had that website — the “Wall of Receipts” — proudly tallying up all those billions in savings, right? About that. The Times went through the 40 largest items on DOGE’s claimed savings list:

In DOGE’s published list of canceled contracts and grants, for instance, the 13 largest were all incorrect.

At the top were two Defense Department contracts, one for information technology, one for aircraft maintenance. Mr. Musk’s group listed them as “terminations,” and said their demise had saved taxpayers $7.9 billion. That was not true. The contracts are still alive and well, and those savings were an accounting mirage.

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Together, those two false entries were bigger than 25,000 of DOGE’s other claims combined.

Of the 40 biggest claims on DOGE’s list, The Times found only 12 that appeared accurate — reflecting real reductions in what the government had committed to spend.

Two fake line items on a spreadsheet claimed more “savings” than 25,000 other entries combined. Of the 40 biggest claims, 28 were wrong. The 13 biggest were all wrong. The very first day the “Wall of Receipts” went live, its largest claim was an $8 billion Department of Homeland Security contract that was off by a factor of 1,000 — the contract was actually worth $8 million, as many folks reported at the time. That’s the kind of error that would get you fired from an introductory accounting course, and these were the people supposedly bringing precision and transparency to the federal government.

The accounting trick DOGE relied on most heavily is worth understanding, because it reveals whether this was mere incompetence or something more deliberate. The Times explains that in many cases, DOGE simply lowered the “ceiling value” of contracts — the theoretical maximum the government could spend, not what it was actually spending — and then claimed the full difference as “savings.” A defense contractor CEO explained this perfectly to stock analysts:

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This summer, CACI’s chief executive, John Mengucci, told stock analysts that the change was meaningless.

“It doesn’t change a thing for this company,” he said. His company had always expected to be paid about $2 billion over the contract’s life span. And even if the contract ever did reach the ceiling, he said, the Pentagon could just raise it again.

“There’s no reduction of revenue,” Mr. Mengucci said.

Or to put it in even more understandable terms:

“Does lowering the maximum limit on your credit card save you any money?” said Travis Sharp, a senior fellow at the Center for Strategic and Budgetary Assessments, which studies federal spending. “No, it does not.”

The core of DOGE’s operations was to manufacture pretend statistics so that Musk and friends could claim savings that weren’t real. It was how DOGE manufactured the appearance of progress while delivering essentially nothing. After DOGE initially claimed $55 billion in savings, the website’s own documentation only supported $16.5 billion. Media analysis then showed half of that was a single data entry error (that $8 billion instead of $8 million). A Politico analysis found DOGE had cut only $1.4 billion in actual spending — and even that money couldn’t reduce the deficit because it would be returned to agencies that were legally obligated to spend it. More than one-third of DOGE’s contract cancellations yielded no monetary savings at all.

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The Garcia report traces a trajectory that any honest observer should find embarrassing:

During the 2024 presidential campaign, Elon Musk claimed he could reduce the federal deficit by eliminating “at least $2 trillion” in federal spending, promising the destruction of the American social safety net. He began walking back these goals after President Trump’s election victory. In early 2025, Mr. Musk appeared on a variety of conservative-leaning podcasts and media outlets baselessly claiming that fake or stolen Social Security numbers led to more than $500 billion in fraud. Media analysis classified Mr. Musk’s claims about waste and fraud in the federal government as lacking evidence or misleading, saying that he misconstrued Government Accountability Office (GAO) reports or lacked basic understanding of the contracts in question.

So: $2 trillion, then $1 trillion, then $55 billion claimed, then $16.5 billion documented, then $1.4 billion confirmed, then spending went up anyway. That’s quite a trajectory for something that was sold as bringing Silicon Valley precision and efficiency to government.

Okay, fine — DOGE didn’t save much money. But did it at least make the government run better? Did it cut red tape, speed things up, make services less awful?

No. It did the opposite. And this is the part that should really bother anyone who genuinely wanted government reform.

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The Garcia report documents in excruciating detail how DOGE’s “efficiency” measures actually added bureaucratic layers:

In one example, a State Department employee described a new requirement for a 250-word essay, extra forms, and days of work and approvals needed to hire a vendor for an embassy event, which previously would have taken a single day. In another, a NASA employee was required to write several detailed paragraphs justifying a purchase of fastening bolts. FDA employees have stated that DOGE requirements have caused significant delays in routine food monitoring tests for items like exposure to heavy metals because spending for every step—from purchasing lab supplies to paying to ship samples between labs—now requires separate department-level approval.

Much efficient. Very savings.

As one federal employee stated:

“It is becoming increasingly difficult to continue to work, which I fear is the point.”

Meanwhile, the services Americans actually rely on got measurably worse:

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At the Social Security Administration (SSA), wait times for a callback ballooned to as high as two and a half hours for assistance between January and March 2025. Americans attempting to access the SSA website for assistance frequently found the webpage down or unresponsive as DOGE recklessly implemented changes while cutting information technology (IT) staff. SSA eventually discarded several of the supposed fraud checks implemented by DOGE because they significantly delayed claim processing without meaningfully combatting fraud. Career employees reportedly knew that DOGE’s anti-fraud measures would make little difference but were intimidated into silence for fear of losing their jobs. DOGE also implemented a new requirement for Social Security applicants to verify their identity in person instead of over the phone if they aren’t able to do so online, while at the same time closing regional and local offices and reducing the workforce at those offices that remained. More than six million seniors have to drive nearly 50 miles round trip to reach their nearest Social Security office, more than twice the average distance an elderly person expects to drive in a day.

This was a heist dressed up as a reform — and the damage to everyday Americans wasn’t a bug.

Layoffs at the Food and Drug Administration (FDA) led to delays in clinical trials and getting new drugs to sick patients. Remaining FDA workers reported struggling to meet statutorily mandated schedules for approving both tobacco products and medical products after the Trump Administration announced 3,500 job cuts across the agency. At one point, FDA drug center leadership resorted to asking drug review staff to volunteer to work on contracting and acquisition tasks because the layoffs had eliminated the entire contracting office.

The Times talked to people on the receiving end of the small-dollar cuts that were DOGE’s actual handiwork. An organization providing counseling and rehabilitation services to torture survivors had to close its centers and stop paying 75% of its staff. A program that sent museum staff into low-income Baltimore schools to teach parents about child development was terminated by form letter because it “no longer serves the interest of the United States.” Research projects were killed at the stage where data had been collected but results hadn’t been published, rendering the government’s entire prior investment wasted. And the impact on American people was real.

Mr. Roehm said he was particularly concerned about possible suicides — around a quarter of the torture victims the group served had recently experienced suicidal ideation.

“We know for sure that survivors we are no longer able to serve are suffering,” he said.

Those dollar amounts were small, compared with DOGE’s largest claims. That is, in effect, how DOGE ultimately saved so little but still caused so much disruption. For small business and local communities, relatively modest sums had major effects.

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“It’s the small numbers that hurt people,” said Lisa Shea Mundt, whose company, the Pulse of GovCon, tracks government contracts.

This is how DOGE managed to simultaneously save almost nothing and cause enormous disruption: the big-dollar claims were fake, and the real cuts targeted things that were individually small but collectively devastating to the people who depended on them.

And then there’s the corruption angle, which is where this moves from incompetence into something much uglier.

DOGE staff were embedded at nearly every executive branch agency, and many of them were associates or employees of Musk’s own companies. The conflicts of interest were staggering and barely concealed. The Garcia report details how DOGE staff were involved in firing FDA investigators responsible for oversight of Musk’s biotech company Neuralink. DOGE took aim at the Consumer Financial Protection Bureau — which just happened to be the agency that would directly oversee a mobile payments function Musk wanted to add to X. The DOGE staffer who oversaw firings at the CFPB owned approximately $365,000 in shares of companies regulated by the Bureau. Executive branch employees are generally prohibited from working on matters in which they hold a personal stake, but there’s no indication this person took any such precautions.

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Elon Musk and DOGE’s active involvement in knee-capping agencies with which he has a direct conflict makes clear that Musk, DOGE, and the broader Trump Administration are focused on weakening accountability for the American people while advancing their own interests.

DOGE staff at the IRS initiated mass firing of skilled specialists responsible for auditing the complex tax filings of large corporations and the ultra-wealthy. The Congressional Budget Office has found that reductions in funding for IRS tax enforcement reduce federal revenues. So DOGE’s “efficiency” move at the IRS will likely cost the government more in uncollected taxes than it could ever have saved.

The same pattern held at the CFPB, which since 2011 had received $7.3 billion in funding but returned over $21 billion to consumers through enforcement actions — a three-fold return on investment. DOGE gutted it anyway. The IRS Direct File program — a free electronic tax filing service that 86% of users said increased their trust in the IRS and was projected to save taxpayers $11 billion once fully operational — was killed after lobbying by for-profit tax preparation companies.

And perhaps most alarming were the data security violations that I’ve written about multiple times. A whistleblower from SSA reported that DOGE operatives had accessed a database containing “the entire country’s Social Security information,” copied it to a high-risk external system, and violated a court order barring them from continued access. The DOJ later had to file “corrections” to prior testimony from senior SSA staff, admitting that DOGE employees had in fact accessed SSA’s most sensitive data and covertly signed a “Voter Data Agreement” with a political advocacy group that sought to overturn election results. And here’s one I had missed:

DOGE’s forced access to Treasury data was particularly noteworthy as a Treasury threat intelligence analysis recommended that DOGE staff “be placed under insider threat monitoring and alerting after their access to payment systems is revoked. Continued access to any payment systems by DOGE members, even ‘read only,’ may have posed the single greatest insider threat risk the Bureau of the Fiscal Service has ever faced.”

At the NLRB, a whistleblower reported that DOGE operatives sent enormous amounts of sensitive case information outside the government to unknown recipients — information that companies like Musk’s SpaceX could use to “get insights into damaging testimony, union leadership, legal strategies and internal data.” OPM’s own Inspector General found that DOGE employees flouted cybersecurity and privacy laws, and that Trump appointees at OPM overrode career civil servants’ warnings about security to force implementation of DOGE’s systems, which may have resulted in a massive national security threat:

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Experts have shown evidence raising concerns of potential Russian and Chinese access to OPM servers shortly after DOGE created the government-wide email infrastructure. Separately, information received by Committee Democratic staff indicated that DOGE employees lowered all firewall protections at OPM to enable the exfiltration of data for use outside of a government environment.

Yikes.

And while they were gutting agencies that protect Americans, they also gutted the agencies actually responsible for catching waste, fraud, and abuse. Offices of Inspectors General — the very watchdogs whose mission aligns with what DOGE claimed to be doing — were starved of resources. One OIG lost 20% of its staff and was operating with “the fewest number of auditors in decades.” The DOJ’s Public Integrity Section, which oversees prosecutions of politicians accused of corruption, was purged of all but a fraction of its former employees.

The Garcia report’s conclusion is perhaps the most honest assessment of the whole debacle:

Many analyses have referred to the DOGE disaster as a failure, and DOGE did indeed fail at its stated mission of meaningfully reducing spending and increasing government efficiency. But in the Trump Administration’s vindictive, ideologically motivated, and pointless quest to break the federal government, drive out talented and committed public servants, and make flashy promises of cutting fraud while enriching themselves and their wealthy donors, DOGE was a resounding success.

Now, the Garcia report is a Democratic minority report, and the most committed DOGE defenders will dismiss it on those grounds alone. But the most devastating evidence comes from DOGE’s own website — which kept quietly deleting incorrect entries — from the Times’ independent analysis, from a defense contractor’s CEO telling his shareholders the “savings” were meaningless, from the GAO finding multiple violations of the Impoundment Control Act, from OPM’s own Inspector General, and from the DOJ having to file corrections to its own court filings.

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You don’t need to trust a single Democratic politician to see what happened here. You just need to look at the numbers.

Oh, and yes: Musk himself admitted in a podcast interview with MAGA influencer and former DOGE employee Katie Miller (wife of Stephen) in December that DOGE had fallen short and said that if he could go back in time, he wouldn’t do it again, preferring instead to have “worked on my companies.” The man who was going to supposedly save the republic from government bloat decided his actual companies were more worth his time. Musk’s public admission probably shouldn’t carry too much weight either way — he knows DOGE was publicly perceived as a failure and he’s distancing himself — but it is a fitting coda.

This whole thing was billed not just by MAGA faithful, but also by many in the media, as an expected triumph of private sector brilliance over government incompetence. What it actually demonstrated is that when you hand the keys to people who don’t understand how government works, don’t respect the people who do, and have massive personal financial conflicts of interest, you get chaos, corruption, and a bigger bill for taxpayers. The people who were making government work better — the original U.S. Digital Service employees who were building more efficient systems and better websites — got fired and replaced with Musk acolytes who couldn’t tell the difference between a contract ceiling and actual spending.

The MAGA world continues to pretend DOGE was a ruthless cost-cutting machine. The receipts say otherwise: it failed in every direction except enriching corporations connected to the administration. It was a looting operation dressed up as reform.

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Filed Under: abuse, doge, efficiency, elon musk, fraud, government spending, waste

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Shoe-Sized Dolphin Robot Swims Straight Into Oil Spills and Pulls Them Clean Out

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Bio Dolphin Robot RMIT Oil Spills
Researchers at RMIT University in Australia built a small robot shaped like a dolphin. About the size of a sneaker, the machine glides across the surface of polluted water and gathers oil with a pump mounted at the front. A filter inside separates the oil from everything else, sending only the slick into an onboard tank while the water flows away untouched.


Bio Dolphin Robot RMIT Oil Spills
The filter draws its clever design from sea urchins. Microscopic spikes coat the sponge-like surface, too small to see without an electron microscope. Those spikes hold pockets of air that push water aside so it beads up and rolls off. Oil, on the other hand, spreads across the spikes and soaks in right away. The coating mixes oleic acid-treated barium carbonate with thin sheets of reduced graphene oxide. No fluorine or silane chemicals go into it, which keeps the whole setup safer for the environment than many older filters.


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Lab tests put the robot through its paces using blue kerosene as a stand-in for real oil. It collected about two milliliters every minute, and the liquid that ended up in the tank measured more than 95 percent pure. The filter never clogged or soaked up water. One full battery charge keeps the machine running for roughly 15 minutes. The same material can absorb between 15 and 65 times its own weight in oil, then release most of it when squeezed and return to work with over 97 percent of its original performance intact. Salt water does not corrode it, and stray contaminants rinse away easily.


Dr. Ataur Rahman, who leads the project at RMIT’s School of Engineering, described the thinking behind the build. Oil spills bring heavy costs to nature and to economies everywhere. The team wanted a device that deploys fast, steers with precision, and reaches places too dangerous for crews on boats. PhD researcher Surya Kanta Ghadei, who developed the filter material, shared what drove his part of the work. Growing up in India, he watched spills harm marine life, especially turtles. That memory pushed him to find a way for responders to act quicker and shield wildlife from harm.

Bio Dolphin Robot RMIT Oil Spills
Right now the robot answers to a Wi-Fi remote. A larger version, closer to the actual size of a dolphin, sits in the plans. Its exact scale will depend on the pump and the tank it carries. In that future form the machine will run without anyone steering it. It will vacuum oil from the surface, head back to a base station to empty the tank and recharge, then return to the spill and start again. The cycle keeps going until the area clears.

Bio Dolphin Robot RMIT Oil Spills
Engineers see clear advantages over systems that simply float in place and wait for oil to drift their way. This robot moves through the slick on its own, collecting as it goes. The filter stays dry and ready for repeated use, so crews avoid the constant swaps and messy disposal that older setups demand. Next steps include scaling up the filter area, strengthening the pump, running field trials, and checking long-term durability in open water.
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This wild iPhone 17 Pro case features a touchscreen for 48MP selfies

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The new Center Stage selfie camera is one of the best features of Apple’s iPhone 17 series — but why settle for 18MP snaps when 48MP selfies are possible?

That’s the question posed by Kickstarter case brand Dockcase, whose latest offering, the Selfix case, adds a touchscreen to the back of your iPhone 17 Pro for seamless, main camera-quality selfies.

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Gamers React With Overwhelming Disgust To DLSS 5’s Generative AI Glow-Ups

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Kyle Orland writes via Ars Technica: Since deep-learning super-sampling (DLSS) launched on 2018’s RTX 2080 cards, gamers have been generally bullish on the technology as a way to effectively use machine-learning upscaling techniques to increase resolutions or juice frame rates in games. With yesterday’s tease of the upcoming DLSS 5, though, Nvidia has crossed a line from mere upscaling into complete lighting and texture overhauls influenced by “generative AI.” The result is a bland, uncanny gloss that has received an instant and overwhelmingly negative reaction from large swaths of gamers and the industry at large.

While previous DLSS releases rendered upscaled frames or created entirely new ones to smooth out gaps, Nvidia calls DLSS 5 — which it plans to launch in Autumn — “a real-time neural rendering model” that can “deliver a new level of photoreal computer graphics previously only achieved in Hollywood visual effects.” Nvidia CEO Jensen Huang said explicitly that the technology melds “generative AI” with “handcrafted rendering” for “a dramatic leap in visual realism while preserving the control artists need for creative expression.”

Unlike existing generative video models, which Nvidia notes are “difficult to precisely control and often lack predictability,” DLSS 5 uses a game’s internal color and motion vectors “to infuse the scene with photoreal lighting and materials that are anchored to source 3D content and consistent from frame to frame.” That underlying game data helps the system “understand complex scene semantics such as characters, hair, fabric and translucent skin, along with environmental lighting conditions like front-lit, back-lit or overcast,” the company says. Nvidia’s announcement video and detailed Digital Foundry breakdown can be found at their respective links.

“Reactions have compared the effect to air-brushed pornography, ‘yassified, looks-maxed freaks,’ or those uncanny, unavoidable Evony ads,” writes Orland. “Others have noted how DLSS 5 seems to mangle the intended art direction by dampening shadows in favor of a homogenized look.”

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Thomas Was Alone developer Mike Bithell said the technology seems designed “for when you absolutely, positively, don’t want any art direction in your gaming experience.”

Gunfire Games Senior Concept Artist Jeff Talbot added that “in every shot the art direction was taken away for the senseless addition of ‘details.’ Each DLSS 5 shot looked worse and had less character than the original. This is just a garbage AI Filter.”

DLSS 5’s “AI dogshit is actually depressing,” said New Blood Interactive founder and CEO Dave Oshry, adding that future generations “won’t even know this looks ‘bad’ or ‘wrong’ because to them it’ll be normal.”

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Mistral bets on ‘build-your-own AI’ as it takes on OpenAI, Anthropic in the enterprise

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Most enterprise AI projects fail not because companies lack the technology, but because the models they’re using don’t understand their business. The models are often trained on the internet, rather than decades of internal documents, workflows, and institutional knowledge. 

That gap is where Mistral, the French AI startup, sees opportunity. On Tuesday, the company announced Mistral Forge, a platform that lets enterprises build custom models trained on their own data. Mistral announced the platform at Nvidia GTC, Nvidia’s annual technology conference, which this year is focused heavily on AI and agentic models for enterprise.

It’s a pointed move for Mistral, a company that has built its business on corporate clients while rivals OpenAI and Anthropic have soared ahead in terms of consumer adoption. CEO Arthur Mensch says Mistral’s laser focus on the enterprise is working: the company is on track to surpass $1 billion in annual recurring revenue this year.

A big part of doubling down on enterprise is giving companies more control over their data and their AI systems, Mistral says. 

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“What Forge does is it lets enterprises and governments customize AI models for their specific needs,” Elisa Salamanca, Mistral’s head of product, told TechCrunch. 

Several companies in the enterprise AI space already claim to offer similar capabilities, but most focus on fine-tuning existing models or layering proprietary data on top through techniques like retrieval augmented generation (RAG). These approaches don’t fundamentally retrain models; instead, they adapt or query them at runtime using company data.

Mistral, by contrast, says it is enabling companies to train models from scratch. In theory, this could address some of the limitations of more common approaches — for example, better handling of non-English or highly domain-specific data, and greater control over model behavior. It could also allow companies to train agentic systems using reinforcement learning and reduce reliance on third-party model providers, avoiding risks like model changes or deprecation. 

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Forge customers can build their custom models using Mistral’s wide library of open-weight AI models, which includes small models such as the recently introduced Mistral Small 4. According to Mistral co-founder and chief technologist, Timothée Lacroix, Forge can help unlock more value out of its existing models. 

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“The trade-offs that we make when we build smaller models is that they just cannot be as good on every topic as their larger counterparts, and so the ability to customize them lets us pick what we emphasize and what we drop,” Lacroix said. 

Mistral advises on which models and infrastructure to use, but both decisions stay with the customer, Lacroix said. And for teams that need more than guidance, Forge comes with Mistral’s team of forward-deployed engineers who embed directly with customers to surface the right data and adapt to their needs — a model borrowed from the likes of IBM and Palantir. 

“As a product, Forge already comes with all the tooling and infrastructure so you can generate synthetic data pipelines,” Salamanca said. “But understanding how to build the right evals and making sure that you have the right amount of data is something that enterprises usually don’t have the right expertise for, and that’s what the FDEs bring to the table.” 

Mistral has already made Forge available to partners including Ericsson, the European Space Agency, Italian consulting company Reply, and Singapore’s DSO and HTX. Early adopters also include ASML, the Dutch chipmaker that led Mistral’s Series C round last September at a €11.7 billion valuation (approximately $13.8 billion at the time).

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These partnerships are emblematic of what Mistral expects Forge’s main use cases to be. According to Mistral’s chief revenue officer Marjorie Janiewicz, these include governments who need to tailor models for their language and culture; financial players with high compliance requirements; manufacturers with customization needs; and tech companies that need to tune models to their code base.

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Kit Becomes Firefox’s First Mascot and Ready Companion

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Mozilla New Mascot Kit Firefox
Kit, Firefox’s first mascot, has just made his debut, thanks to Mozilla, who combined fox and red panda features with some searing flame elements to create a one-of-a-kind creature that sticks out. Kit’s tail constantly seems like it’s on the move, even when he’s just relaxing, since his body language, posture, and eyes all appear to be working together to nail the mood.



Illustrator Marco Palmieri created the final design, starting with some pencil drawings to get a feel for the ideas and ensure they were strong before going on to other tools. Design agency JKR then stepped in and collaborated with Mozilla to take the project to the next level by delving into what makes Firefox tick, including the logo colors and the fox itself.


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According to Amy Bebbington of Mozilla, Kit is the browser’s BFF for the internet era, as it serves as a gentle reminder to users that Firefox has their back. This comes at a time when the web is undergoing significant changes and people are becoming increasingly concerned about what is happening with their data and trust. Firefox is responding by not disclosing users’ personal information and allowing them to opt in or out of artificial intelligence.

Mozilla New Mascot Kit
Kit is also present in quiet moments, such as when you first log in, try something new, or do something nice while browsing, and you can even use him as a wallpaper for new browser tabs under the customization menu. You may also see him on the official website, social media, and during meetups. Overall, these subtle touches make the sign-in process feel like reconnecting with an old friend. Kit is quite understated, but he provides just the right amount of personality to remind you that the browser is only there to help (not get in the way).

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Anker’s Upcoming Liberty 5 Pro Max Buds Will Have an AI Voice Recorder in Their Charging Case

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Anker earbuds and headphones may not have the premium status of Apple, Bose and Sony, but the brand’s value-priced products have a loyal following. Anker aficionados have been waiting for the company to release the Pro version of its $100 Soundcore Liberty 5 earbuds

According to NotebookCheck, via leaker AnkerInsider, whose X account appears suspended, the release is near. Two versions of Anker’s new flagship earbuds are due to arrive in the coming months: The Liberty 5 Pro and Liberty 5 Pro Max. Both will feature a new AI chip called the Anker Thus to power the buds.

Read more: Best wireless earbuds of 2026

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The new models don’t look anything like the current Liberty 5 buds, which have a traditional stem design. Both new Pro models will feature upgraded noise canceling (Anker’s new Adaptive ANC 4.0), Bluetooth 6.1, an IP55 dust- and water-resistant rating, Dolby Atmos spatial audio, Bluetooth multipoint and an AI-powered audio upscaling feature.

While both the Liberty 5 Pro and Liberty Pro Max have a touchscreen built into their cases, the Max’s case also doubles as a voice recorder with built-in microphones. The recorder will reportedly be able to recognize your voice thanks to voiceprint recognition.

anker chip with Thus writing

Anker has apparently developed its own AI chip for its flagship earbuds.

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Screenshot by David Carnoy/CNET

The upcoming buds are expected to be officially announced in late May, with the Liberty 5 Pro to be priced at $170, and the Liberty 5 Pro Max retailing for $230 (the Max already have a shell of listing on Best Buy that notes the voice recorder). Both have a battery life of around 6.5 hours with noise cancellation turned on.

AI voice recorders have been proliferating in recent months (you might have seen an ad for one on Facebook or Instagram). Anker is shipping its Soundcore Work coin-sized wearable Al note take/voice recorder for $129 with a $39-off coupon code. Presumably, some of the same technology found in the wearable recorder will make its way over to the Liberty 5 Pro Max.

The Liberty 5 Pro Max won’t be the first pair of earbuds to have a microphone in their case. Nothing’s Ear (3) flagship earbuds have a Super Mic in their case, which had me talking to my hand when making calls. It’s a clear sign that as earbud performance plateaus, brands are getting creative with extra features to help their products stand out from the pack. 

Talking to the Nothing Ear (3) case while making a call in the streets of New York. More earbuds cases appear set to have built-in microphones.

David Carnoy/CNET

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Apple's latest Background Security Improvement targets a WebKit flaw

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A Background Security Improvement in iOS 26.3.1 fixes a WebKit issue in Safari that could break one of the web’s most important safety rules.

Safari web browser app icon showing a blue circular compass with white tick marks and a red and white needle, centered on a white rounded square against a blue gradient background
Apple has fixed a WebKit bug for Safari and other browsers

Apple released a Background Security Improvement on March 17 for iOS 26.3.1, iPadOS 26.3.1, macOS 26.3.1, and macOS 26.3.2. The update fixes a WebKit flaw that could let a malicious website bypass a key browser security rule.
The company said the issue was caused by a cross-origin problem in the Navigation API and assigned it CVE-2026-20643. Apple addressed the flaw by improving input validation to stop harmful web content from breaking the browser’s protections.
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Australian tea brand T2 Tea to shutter all Singapore stores

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The closures come nine years after the brand opened its first outlet here

Australian premium tea retailer T2 Tea is set to close all three of its outlets and exit Singapore, according to a report from The Business Times.

Its stores at 313@Somerset, Suntec City, and VivoCity are currently running clearance sales with discounts of up to 30%.

When the publication visited the Suntec City branch yesterday (Mar 16), most of its stock had been cleared from the shelves. The store is expected to cease operations on March 25.

Despite the closures, customers can still purchase products via T2 Tea’s online store.

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T2 Tea closed all of its UK outlets in 2023

T2 Tea was founded in 1996 in Melbourne, with retail stores in Australia, New Zealand and Singapore. As of June 2025, it reportedly had 62 stores across these markets.

A T2 Tea store at Melbourne Central./ Image Credit: Ian via Google Reviews

In 2013, it was acquired by Unilever, and later sold to private equity group CVC Capital Partners for about S$6.6 billion in 2021.

T2 Tea entered Singapore in 2017 with a flagship outlet at 313@Somerset, marking its first expansion into Asia. The store offered more than 100 tea blends, ranging from classic options like English Breakfast to signature creations such as Melbourne Breakfast. It also launched a Singapore-exclusive blend inspired by kaya toast.

In recent years, however, the company has faced challenges.

In 2023, it exited the UK market, closing all stores and its online platform there, citing “unprecedented changes” at the time. It had said it would refocus on markets closer to home, including New Zealand and Singapore.

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Vulcan Post has reached out to T2 Tea for more information.

  • Read other articles we’ve written on Singaporean businesses here.

Featured Image Credit: Gemma Chin via Google Reviews/ T2 Tea Singapore via Instagram

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Part Three trailer introduces Robert Pattinson’s villainous new character

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It’s only been two years since Dune: Part Two but we already have a trailer for the third installment. The appropriately-named Dune: Part Three is an adaptation of Frank Herbert’s Dune Messiah book from 1969.

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The release date is coming up fast. Dune: Part Three hits theaters on December 18. That’s this year. Villeneuve had intended to take a break after making the second one to focus on a smaller and more personal film, but said that he kept “waking in the middle of the night” with potential images from the third installment.

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Startup proposes USB drives as a modern replacement for DVDs and Blu-rays

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Video StoreAge is a new company focused on creating physical releases of indie films. The startup aims to take a more authorial approach to distribution, using a patented encrypted USB drive to share its curated titles. Its ultimate goal is to disrupt algorithm-driven distribution in favor of communities and grassroots…
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