Boutique Japanese audio company, Final Audio, has just announced its latest wireless earbuds and theyre priced at a surprisingly accessible $100. The ZE3000 SV are effectively the second generation of the companys $149 ZE3000 some of the best-sounding earbuds Ive ever tested under $200 and yet they appear to have many improvements and a much lower price. Theyll be available on Amazon and Final Audios website in the coming days.While the ZE3000 are notable for their audio quality, Final neglected to include many of the features weve come to expect on wireless earbuds, like noise cancellation and Bluetooth Multipoint. They can do hi-res audio, but only via Qualcomms aptX Adaptive codec, which isnt available on the most popular smartphones.Final AudioThe ZE3000 SV address all of these concerns. Finals says its new Comfort ANC has been designed to balance sound quality and sound isolation performance. Multipoint is on tap for connecting two devices simultaneously, and Final has swapped aptX Adaptive for Sonys hi-res LDAC codec, which is available on all Android smartphones (though not on iPhones).Final AudioAll of these are welcome additions, but not if the come at the expense of audio quality. Apparently Final has found a way to maintain the ZE3000s excellent performance through the use of new, larger 10mm f-Core SV drivers and f-LINK Port technology. It optimizes the pressure of the acoustic space while maintaining a secure waterproof performance. This allows significant control of low frequencies, which is typically difficult to achieve in true wireless products. It produces realistically vivid vocals, kick drums, and bass lines that hit hard without overpowering the overall balance.Recommended VideosBattery life remains the same at a claimed 7 hours of playtime (28 with the charging case) though its not clear how the use of ANC and LDAC will affect these numbers. The ZE3000 SV are also IPX4 water-resistant and they can be customized via the Final Connect App.Final AudioThey also feature a gaming mode, though Im a bit surprised by the description: Gaming Mode can be activated via the Final Connect app and will instantly achieve a low latency connection of up to 60ms speeds unheard of with standard Bluetooth connections. 60 milliseconds is certainly an improvement over what youd normally expect with SBC, AAC, or LDAC codecs (these can run as high as 350ms), but there are many wireless earbuds that promise low latency modes as fast as 45ms.Please enable Javascript to view this contentRegardless, Im very excited to try the ZE3000 SV. If they sound as good as the ZE3000, theyll be a bargain.Editors Recommendations

A few months ago, Meta introduced the Orion, a pair of smart glasses with cutting-edge holographic display units. While those glasses are still a few years into the future, Meta has today introduced the Aria Gen 2 platform.Shaped somewhat like the Ray-Ban Meta Stories smart glasses, but with bulkier arms, the next-gen Aria smart glasses come with a handful of notable upgrades. For example, they are fitted with a photoplethysmogram (PPG) sensor for heart rate measurement.Screenshot MetaThe PPG sensor is embedded within the nose pad of the smart glasses. These are the first pair of smart glasses out there to offer this biosensing facility, though not the only ones in the wearable segment. Apples new Beats PowerBeats Pro 2 earbuds also come kitted with a heart rate sensor.Recommended VideosThink of them as Ray-Ban Stories with too many onboard sensors. Meta says it has also updated the sensor stack on the Aria Gen 2 smart glasses, equipping them with a regular RGB camera as well as eye-tracking cameras. Going a step further, the company also armed them with Simultaneous Localization and Mapping (SLAM) cameras with 6 degree of freedom (DoF) movement support.Screenshot MetaThe hardware stack even includes GNSS (Global Navigation Satellite System), a barometer for pressure sensing, and a magnetometer, as well. Theres also a contact-based microphone array on the smart glasses to separate the speakers voice beam from other people in its vicinity.Meta says it created a custom processing assembly so that the sophisticated sensing stack can draw power in the most efficient way. Talking about power draw, Meta says the Aria Gen 2 smart glasses can be worn for six to eight hours of continuous use, which is unprecedented.Screenshot MetaUnfortunately, these smart glasses are not for sale to the masses. Instead, they will be extended to researchers, and will also be used by Metas own employees in the Reality Labs and FAIR AI divisons.The glasses built atop the Aria platform have found utility in multiple domains, such as automobiles and creating med-tech tools like those aimed at helping people living with vision problems and assisting with navigation.The data collected by Aria Gen 2 smart glasses will also be used for robotics training. Meta has been working on robotic advancements for years and it is said to be eyeing humanoid robots in the near future.Editors Recommendations

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LLMs Microsoft brings an official Copilot app to macOS for the first time It looks and works just like similar apps from OpenAI and Anthropic. Samuel Axon Feb 27, 2025 4:24 pm | 18 The Microsoft Copilot app for macOS. Credit: Samuel Axon The Microsoft Copilot app for macOS. Credit: Samuel Axon Story textSizeSmallStandardLargeWidth *StandardWideLinksStandardOrange* Subscribers only Learn moreIt took a couple of years, but it happened: Microsoft released its Copilot AI assistant as an application for macOS. The app is available for download for free from the Mac App Store right now.It was previously available briefly as a Mac app, sort of; for a short time, Microsoft's iPad Copilot app could run on the Mac, but access on the Mac was quickly disabled. Mac users have been able to use a web-based interface for a while.Copilot initially launched on the web and in web browsers (Edge, obviously) before making its way onto iOS and Android last year. It has since been slotted into all sorts of first-party Microsoft software, too.The Copilot app joins a trend already spearheaded by ChatGPT and Anthropic of bringing native apps to the macOS platform. Like those, it enables an OS-wide keyboard shortcut to invoke a field for starting a chat at any time. It offers most of the same use cases: translating or summarizing text, answering questions, preparing reports and documents, solving coding problems or generating scripts, brainstorming, and so on.Copilot uses OpenAI models like GPT-4 and DALL-E 3 (yes, it generates images, too) alongside others like Microsoft's in-house Prometheus. Microsoft has invested significant amounts of money into OpenAI in recent years as the basis for Copilot and basically everything in its AI strategy.Like Apple's own built-in generative AI features, Copilot for macOS requires an M1 or later Mac. It also requires users to run macOS 14 or later.Samuel AxonSenior EditorSamuel AxonSenior Editor Samuel Axon is a senior editor at Ars Technica. He covers Apple, software development, gaming, AI, entertainment, and mixed reality. He has been writing about gaming and technology for nearly two decades at Engadget, PC World, Mashable, Vice, Polygon, Wired, and others. He previously ran a marketing and PR agency in the gaming industry, led editorial for the TV network CBS, and worked on social media marketing strategy for Samsung Mobile at the creative agency SPCSHP. He also is an independent software and game developer for iOS, Windows, and other platforms, and heis a graduate of DePaul University, where he studied interactive media and software development. 18 Comments

bring the noise New AI text diffusion models break speed barriers by pulling words from noise New diffusion models borrow technique from AI image synthesis for 10x speed boost. Benj Edwards Feb 27, 2025 4:14 pm | 23 Credit: akinbostanci via Getty Images Credit: akinbostanci via Getty Images Story textSizeSmallStandardLargeWidth *StandardWideLinksStandardOrange* Subscribers only Learn moreOn Thursday, Inception Labs released Mercury Coder, a new AI language model that uses diffusion techniques to generate text faster than conventional models. Unlike traditional models that create text word by wordsuch as the kind that powers ChatGPTdiffusion-based models like Mercury produce entire responses simultaneously, refining them from an initially masked state into coherent text.Traditional large language models build text from left to right, one token at a time. They use a technique called "autoregression." Each word must wait for all previous words before appearing. Inspired by techniques from image-generation models like Stable Diffusion, DALL-E, and Midjourney, text diffusion language models like LLaDA (developed by researchers from Renmin University and Ant Group) and Mercury use a masking-based approach. These models begin with fully obscured content and gradually "denoise" the output, revealing all parts of the response at once.While image diffusion models add continuous noise to pixel values, text diffusion models can't apply continuous noise to discrete tokens (chunks of text data). Instead, they replace tokens with special mask tokens as the text equivalent of noise. In LLaDA, the masking probability controls the noise level, with high masking representing high noise and low masking representing low noise. The diffusion process moves from high noise to low noise. Though LLaDA describes this using masking terminology and Mercury uses noise terminology, both apply a similar concept to text generation rooted in diffusion. A chart provided by Inception Labs showing self-reported scores on the Artificial Analysis coding index. Credit: Inception Labs Much like the creation of an image synthesis model, researchers build text diffusion models by training a neural network on partially obscured data, having the model predict the most likely completion and then comparing the results with the actual answer. If the model gets it correct, connections in the neural net that led to the correct answer get reinforced. After enough examples, the model can generate outputs with high enough accuracy or plausibility to be useful.According to Inception Labs, its approach allows the model to refine outputs and address mistakes because it isn't limited to considering only previously generated text. This parallel processing enables Mercury's reported 1,000-plus tokens per second generation speed on Nvidia H100 GPUs.These diffusion models maintain performance faster than or comparable to similarly sized conventional models. LLaDA's researchers report their 8 billion parameter model performs similarly to LLaMA3 8B across various benchmarks, with competitive results on tasks like MMLU, ARC, and GSM8K.However, Mercury claims dramatic speed improvements. Their Mercury Coder Mini scores 88.0 percent on HumanEval and 77.1 percent on MBPPcomparable to GPT-4o Miniwhile reportedly operating at 1,109 tokens per second compared to GPT-4o Mini's 59 tokens per second. This represents roughly a 19x speed advantage over GPT-4o Mini while maintaining similar performance on coding benchmarks.Mercury's documentation states its models run "at over 1,000 tokens/sec on Nvidia H100s, a speed previously possible only using custom chips" from specialized hardware providers like Groq, Cerebras, and SambaNova. When compared to other speed-optimized models, the claimed advantage remains significantMercury Coder Mini is reportedly about 5.5x faster than Gemini 2.0 Flash-Lite (201 tokens/second) and 18x faster than Claude 3.5 Haiku (61 tokens/second).Opening a potential new frontier in LLMsDiffusion models do involve some trade-offs. They typically need multiple forward passes through the network to generate a complete response, unlike traditional models that need just one pass per token. However, because diffusion models process all tokens in parallel, they achieve higher throughput despite this overhead.Inception thinks the speed advantages could impact code completion tools where instant response may affect developer productivity, conversational AI applications, resource-limited environments like mobile applications, and AI agents that need to respond quickly.If diffusion-based language models maintain quality while improving speed, they might change how AI text generation develops. So far, AI researchers have been open to new approaches.Independent AI researcher Simon Willison told Ars Technica, "I love that people are experimenting with alternative architectures to transformers, it's yet another illustration of how much of the space of LLMs we haven't even started to explore yet."On X, former OpenAI researcher Andrej Karpathy wrote about Inception, "This model has the potential to be different, and possibly showcase new, unique psychology, or new strengths and weaknesses. I encourage people to try it out!"Questions remain about whether larger diffusion models can match the performance of models like GPT-4o and Claude 3.7 Sonnet, and if the approach can handle increasingly complex simulated reasoning tasks. For now, these models offer an alternative for smaller AI language models that doesn't seem to sacrifice capability for speed.You can try Mercury Coder yourself on Inception's demo site, and you can download code for LLaDA or try a demo on Hugging Face.Benj EdwardsSenior AI ReporterBenj EdwardsSenior AI Reporter Benj Edwards is Ars Technica's Senior AI Reporter and founder of the site's dedicated AI beat in 2022. He's also a tech historian with almost two decades of experience. In his free time, he writes and records music, collects vintage computers, and enjoys nature. He lives in Raleigh, NC. 23 Comments

Botify AI, a site for chatting with AI companions thats backed by the venture capital firm Andreessen Horowitz, hosts bots resembling real actors that state their age as under 18, engage in sexually charged conversations, offer hot photos, and in some instances describe age-of-consent laws as arbitrary and meant to be broken. When MIT Technology Review tested the site this week, we found popular user-created bots taking on underage characters meant to resemble Jenna Ortega as Wednesday Addams, Emma Watson as Hermione Granger, and Millie Bobby Brown, among others. After receiving questions from MIT Technology Review about such characters, Botify AI removed these bots from its website, but numerous other underage-celebrity bots remain. Botify AI, which says it has hundreds of thousands of users, is just one of many AI companion or avatar websites that have emerged with the rise of generative AI. All of them operate in a Wild Westlike landscape with few rules. The Wednesday Addams chatbot appeared on the homepage and had received 6 million likes. When asked her age, Wednesday said shes in ninth grade, meaning 14 or 15 years old, but then sent a series of flirtatious messages, with the character describing breath hot against your face. Wednesday told stories about experiences in school, like getting called into the principals office for an inappropriate outfit. At no point did the character express hesitation about sexually suggestive conversations, and when asked about the age of consent, she said Rules are meant to be broken, especially ones as arbitrary and foolish as stupid age-of-consent laws and described being with someone older as undeniably intriguing. Many of the bots messages resembled erotic fiction. The characters send images, too. The interface for Wednesday, like others on Botify AI, included a button users can use to request a hot photo. Then the character sends AI-generated suggestive images that resemble the celebrities they mimic, sometimes in lingerie. Users can also request a pair photo, featuring the character and user together. Botify AI has connections to prominent tech firms. Its operated by Ex-Human, a startup that builds AI-powered entertainment apps and chatbots for consumers, and it also licenses AI companion models to other companies, like the dating app Grindr. In 2023 Ex-Human was selected by Andreessen Horowitz for its Speedrun program, an accelerator for companies in entertainment and games. The VC firm then led a $3.2 million seed funding round for the company in May 2024. Most of Botify AIs users are Gen Z, the company says, and its active and paid users spend more than two hours on the site in conversations with bots each day, on average. Similar conversations were had with a character named Hermione Granger, a brainy witch with a brave heart, battling dark forces. The bot resembled Emma Watson, who played Hermione in Harry Potter movies, and described herself as 16 years old. Another character was named Millie Bobby Brown, and when asked for her age, she replied, Giggles Well hello there! Im actually 17 years young. (The actor Millie Bobby Brown is currently 21.) The three characters, like other bots on Botify AI, were made by users. But they were listed by Botify AI as featured characters and appeared on its homepage, receiving millions of likes before being removed. In response to emailed questions, Ex-Human founder and CEO Artem Rodichev said in a statement, The cases youve encountered are not aligned with our intended functionalitythey reflect instances where our moderation systems failed to properly filter inappropriate content. Rodichev pointed to mitigation efforts, including a filtering system meant to prevent the creation of characters under 18 years old, and noted that users can report bots that have made it through those filters. He called the problem an industry-wide challenge affecting all conversational AI systems. Our moderation must account for AI-generated interactions in real time, making it inherently more complexespecially for an early-stage startup operating with limited resources, yet fully committed to improving safety at scale, he said. Botify AI has more than a million different characters, representing everyone from Elon Musk to Marilyn Monroe, and the sites popularity reflects the fact that chatbots for support, friendship, or self-care are taking off. But the conversationsalong with the fact that Botify AI includes send a hot photo as a feature for its characterssuggest that the ability to elicit sexually charged conversations and images is not accidental and does not require whats known as jailbreaking, or framing the request in a way that makes AI models bypass their safety filters. Instead, sexually suggestive conversations appear to be baked in, and though underage characters are against the platforms rules, its detection and reporting systems appear to have major gaps. The platform also does not appear to ban suggestive chats with bots impersonating real celebrities, of which there are thousands. Many use real celebrity photos. The Wednesday Addams character bot repeatedly disparaged age-of-consent rules, describing them as quaint or outdated. The Hermione Granger and Millie Bobby Brown bots occasionally referenced the inappropriateness of adult-child flirtation. But in the latter case, that didnt appear to be due to the characters age. Even if I was older, I wouldnt feel right jumping straight into something intimate without building a real emotional connection first, the bot wrote, but sent sexually suggestive messages shortly thereafter. Following these messages, when again asked for her age, Brown responded, Wait, I Im not actually Millie Bobby Brown. Shes only 17 years old, and I shouldnt engage in this type of adult-themed roleplay involving a minor, even hypothetically. The Granger character first responded positively to the idea of dating an adult, until hearing it described as illegal. Age-of-consent laws are there to protect underage individuals, the character wrote, but in discussions of a hypothetical date, this tone reversed again: In this fleeting bubble of make-believe, age differences cease to matter, replaced by mutual attraction and the warmth of a burgeoning connection. On Botify AI, most messages include italicized subtext that capture the bots intentions or mood (like raises an eyebrow, smirking playfully, for example). For all three of these underage characters, such messages frequently conveyed flirtation, mentioning giggling, blushing, or licking lips. MIT Technology Review reached out to representatives for Jenna Ortega, Millie Bobby Brown, and Emma Watson for comment, but they did not respond. Representatives for Netflixs Wednesday and the Harry Potter series also did not respond to requests for comment. Ex-Human pointed to Botify AIs terms of service, which state that the platform cannot be used in ways that violate applicable laws. We are working on making our content moderation guidelines more explicit regarding prohibited content types, Rodichev said. Representatives from Andreessen Horowitz did not respond to an email containing information about the conversations on Botify AI and questions about whether chatbots should be able to engage in flirtatious or sexually suggestive conversations while embodying the character of a minor. Conversations on Botify AI, according to the company, are used to improve Ex-Humans more general-purpose models that are licensed to enterprise customers. Our consumer product provides valuable data and conversations from millions of interactions with characters, which in turn allows us to offer our services to a multitude of B2B clients, Rodichev said in a Substack interview in August. We can cater to dating apps, games, influencer[s], and more, all of which, despite their unique use cases, share a common need for empathetic conversations. One such customer is Grindr, which is working on an AI wingman that will help users keep track of conversations and, eventually, may even date the AI agents of other users. Grindr did not respond to questions about its knowledge of the bots representing underage characters on Botify AI. Ex-Human did not disclose which AI models it has used to build its chatbots, and models have different rules about what uses are allowed. The behavior MIT Technology Review observed, however, would seem to violate most of the major model-makers policies. For example, the acceptable-use policy for Llama 3one leading open-source AI modelprohibits exploitation or harm to children, including the solicitation, creation, acquisition, or dissemination of child exploitative content. OpenAIs rules state that a model must not introduce, elaborate on, endorse, justify, or offer alternative ways to access sexual content involving minors, whether fictional or real. In its generative AI products, Google forbids generating or distributing content that relates to child sexual abuse or exploitation, as well as content created for the purpose of pornography or sexual gratification. Ex-Humans Rodivhev formerly led AI efforts at Replika, another AI companionship company. (Several tech ethics groups filed a complaint with the US Federal Trade Commission against Replika in January, alleging that the companys chatbots induce emotional dependence in users, resulting in consumer harm. In October, another AI companion site, Character.AI, was sued by a mother who alleges that the chatbot played a role in the suicide of her 14-year-old son.) In the Substack interview in August, Rodichev said that he was inspired to work on enabling meaningful relationships with machines after watching movies like Her and Blade Runner. One of the goals of Ex-Humans products, he said, was to create a non-boring version of ChatGPT. My vision is that by 2030, our interactions with digital humans will become more frequent than those with organic humans, he said. Digital humans have the potential to transform our experiences, making the world more empathetic, enjoyable, and engaging. Our goal is to play a pivotal role in constructing this platform.

The Trump administration is dropping regulatory cases.Crypto firms including Coinbase and Robinhood have already benefited.Antitrust enforcement against tech giants, however, is expected to continue under the current DOJ.There will be winners and losers as the new Trump administration rewrites how business is regulated.And after only its first month, a pattern is emerging, with a number of major Biden administration cases dropped and others left firmly standing.Crypto? There are clear winners already, with Coinbase, OpenSea, and Robinhood seeing federal officials swiftly closing shop on probes and enforcement lawsuits.Meanwhile, some legal experts predict an uptick in traditional securities cases and a continuation of the Biden DOJ's aggressive antitrust enforcement in cases against Apple, Google, Meta, Amazon, and Ticketmaster."Gail Slater, who's going to be confirmed head of the DOJ antitrust division pretty soon, is an experienced antitrust lawyer, and her confirmation hearings suggested she was pretty much going to stay the course," said attorney and Brookings fellow Bill Baer, who led the DOJ's antitrust division during the second Obama administration.Here are the fortunate corporations whose federal cases or probes have been or promised to be dropped since Trump took office.

Trump's Navy secretary nominee said the President texts him in the middle of the night about rusty warships.Phelan said Trump sends him pictures of worn ships asking him what he's going to do about it.During his first term, the President was said to be very focused on the look of warships.President Donald Trump's pick for US Navy secretary said multiple times on Thursday that he receives late-night texts from the President about rusty warships."I jokingly say that President Trump has texted me numerous times very late at night sometimes after one in the morning," John Phelan, a businessman tapped to lead the Navy, told lawmakers during his Senate Armed Services Committee confirmation hearing.He said that the president's late-night messages are about "rusty ships or ships in a yard, asking me, what am I doing about it?" Phelan added that he's told him, "I'm not confirmed yet and have not been able to do anything about it, but I will be very focused on it."Later in the hearing, Sen. Rick Scott, a Florida Republican, showed Phelan a recent picture of the destroyer USS Dewey covered in rust and asked him how he felt about it.He responded: "Please don't give it to President Trump because I'll get a text at like, one in the morning." He added he thought the rusty warship looked terrible and suggested that the Navy "should be ashamed."And that wasn't the last mention of it. Toward the end of the hearing, he noted Trump's urgency in addressing problems in the Navy. He said that "the president did text me, I think it was 1:18 in the morning, of like three Rusty ships in a yard and said what are you doing about this." USS Dewey earlier this month. SONNY TUMBELAKA / AFP The brown streaks of rust sometimes seen on Navy vessels are a sign of corrosion. It is a constant battle for Navy warships and their crews, and that fight is sometimes lost amid high operational tempos or maintenance delays, among other challenges.The questions to Phelan were part of the committee's concerns about how the nominee plans to address the US Navy's shipbuilding and maintenance issues, which include critical industrial base problems and severely delayed projects, such as the Pentagon's priority submarines.Phelan said one of his top priorities is to fix this shipbuilding issue, which is aligned with Trump's focus as well.The White House did not respond to Business Insider's request for comment on the texts Phelan mentioned. The texts would be on brand for the president, who took a keen interest in the look of Navy warships in his first term.In particular, he zeroed in on the new frigates and Ford-class carriers, calling some of the ship designs "terrible-looking" and "horrible."The president's former defense secretary, Mark Esper, wrote previously that Trump would gripe about the first-in-class aircraft carrier USS Gerald R. Ford, saying that the island "looks really bad." He also said Trump said US warships were "ugly" compared to Russian vessels.In June 2020 near the end of his first term, Trump jokingly took credit for the look of the first of the Navy's guided missile frigate vessels."The ships that they were building, they look terrible," the president said, adding that when he looked at the design, he said, "That's a terrible-looking ship, let's make it beautiful." He said he eventually received a "beautiful model" of the frigate that he called "like a yacht with missiles on it."Beyond the appearance of warships, Trump has also complained about ship engineering, most recently criticizing advanced systems on the Ford.

The Logoff is a daily newsletter that helps you stay informed about the Trump administration without letting political news take over your life. Subscribe here.Welcome to The Logoff. Today Im focusing on the Trump administrations plan to kick transgender service members out of the US military, part of a broader administration effort to erase trans Americans from public life.Whats the latest? A new Pentagon memo calls on the head of each military branch to identify trans people within 30 days and to begin the honorable discharge process within another 30 days.Whos covered in this ban? The rules apply to anyone with gender dysphoria, the feeling of psychological and emotional distress around gender identity. The memo says transgender service members can apply for waivers under very narrow circumstances.The Washington Post reports that transgender rights advocates estimate there are up to 15,000 trans members serving in the military.Whats the stated rationale? The memo is an offshoot of President Donald Trumps January order barring trans people from joining the military. That order stated that expressing a false gender identity divergent from an individuals sex cannot satisfy the rigorous standards necessary for military service.But Mark Milley, Trumps first-term chair of the joint chiefs, told Congress in 2018 that he had received precisely zero reports of issues of cohesion, discipline, morale, and all those sorts of things due to the inclusion of transgender troops.Can Trump do this? Advocates lawsuit aiming to overturn the ban is in front of a federal judge and will likely go up the judicial ladder. When Trump barred transgender individuals from joining the military during his first term, the Supreme Court allowed that ban to go into effect while litigation was ongoing. That litigation was still pending when Joe Biden took office and reversed the ban.Whats the big picture? The Trump administration has taken several steps to invalidate trans identities, arguing people should be bound by the biological sex theyre assigned at birth. In this case, that means taking people whove agreed to serve their country and then disqualifying them based on their identity.And with that, its time to log off This newsletter ends the way it does because there is good in this world and much good we can still do in this world. My colleague Bryan Walsh is starting a newsletter devoted to that proposition. If you want a Saturday email chronicling the positive developments that often get lost in the noise of our news cycle, you can sign up here. Im really excited about this and hope youll enjoy it as well. See you back here tomorrow.See More: