Tech Editor @Mashable. Former Site Director @SpyDotCom. Words in @GQMagazine, @GearPatrol, @TheDailyBeast - New Profile.

Brooklyn, NY
Joined October 2019
It’s an incredible feeling for a writer to see their name in print for the first time! Like a lot of journalists, I got laid off this year, and the media job market is pretty apocalyptic, so you’ve got to celebrate wins where you can. "Words by Timothy Beck Werth" in @GearPatrol
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I love these photos showing how good optimized apps look on the iPhone Duo, courtesy of Mashable Senior Editor Stan Schroeder @franticnews. Now I'm even more jealous that I couldn't get a Duo for launch day tomorrow, but check out Stan's piece on the top iPhone Duo apps 👇
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Pokémon and other trading card communities are understandably angry after PSA-graded cards were stolen from a FedEx truck, PSA says. If you lost cards, get in touch, as @mashable is covering the heist.
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Well, count me in as one of those who failed to get the iPhone Duo this morning, despite pre-pre-ordering through the Apple Get Ready program. Already backordered to January. Should I have used an AI agent to place order faster?
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I called this one. You do not need “AI” in a toothbrush! I have a $15 toothbrush that literally cannot break, and I’ve never had a cavity. More technology = more failure points. And I refuse to download an app to use my toothbrush. mashable.com/life/dyson-came…
Dyson’s $500 Toothbrush Has One Big Problem: It Doesn’t Work (Yet) — The company said it identified which of its $500 toothbrushes had a problem where they’d quickly turn into bricks. Then it sent us a unit that became a brick — even after it tested it. bloomberg.com/news/articles/…
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The HomeView is meant to live in your space. It can be wall-mounted or come on a domed speaker base. My highlights: -For me, this is a 10/10 product design from Apple. It's just pretty. -Recognizes and syncs to 6 household members at a time -Privacy features to stop someone from snooping through your texts or emails -Control your entire smart home, from thermostat to video doorbell to lighting -A streamlined recipe experience for home cooks -Impressive spatial audio speakers + Liquid Retina display -$299 price tag will make this a very popular Christmas gift
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However, this clearly isn't a product for me. I live in a small NYC apartment. I don't need a smart home hub. But if you have a big home, a big family, and don't mind another screen in your space, it's a cool product. Read everything we know about the Apple HomeView — mashable.com/tech/apple-home…
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Apple is coming for your smart home, and the HomeView ($299) is going to be all over Christmas gift lists this year. I got to check it out for @mashable, and I had one main question: What can this do that your iPhone or iPad can't? Do I need another screen? 🧵
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“AI is inevitable!” he says, shoving your face into the AI slop trough.
'“No more hand-written code,” one of the game’s directors told staff in an internal message reviewed by Bloomberg. The director added that all art for the game would be “generated with full AI workflows.”'
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With the launch of Muse Wonder, Meta is finally catching OpenAI and Anthropic at the AI frontier. 🧵 Muse Wonder leapfrogs Gemini 4, GPT-Astra, and Fable 5. On the Artificial Analysis Intelligence Index, it’s second only to Claude Opus 5.5 Max. —Meta says it features Active Focus and Active Memory for staying on task on agentic assignments —Will soon be available in Muse for a $20 or $100 monthly subscription —Full safety report to come later, but Meta claimed it will reject misuse and help with cybersecurity defense
Meta has released Muse Wonder and Muse Wonder Full, achieving Artificial Analysis Intelligence Index v4.3 scores of 52 and 56 at max reasoning effort - each a material gain over Muse Spark 1.3 (max) at 48, with a release gap of only 6 weeks Muse Wonder is available for users on Meta’s first-party API, while Muse Wonder Full is currently only available for Muse Code users. Meta notes that each model is designed for personal and professional agent use Congratulations to @AIatMeta, @finkd, and @alexandr_wang on the release! Key Takeaways: ➤ Both models exhibit a material jump in overall Intelligence Index score. Muse Wonder Full (max) improves on Muse Spark 1.3 (max) across all ten Intelligence Index evaluations, gaining 8 points to 56. The largest gains were seen in agentic evaluations: Terminal-Bench 4.0 (+24 points, 33% to 57%), GDPval-AA v2.1 (+176 Elo, 1681 to 1857), and AA-Briefcase (+148 Elo, 1581 to 1729). Muse Wonder (max) gains 4 Intelligence Index points and lands at 52, with notable improvements vs. Muse Spark 1.3 (max) in Terminal-Bench 4.0 (33% to 52%) and AutomationBench-AA (58% to 68%) ➤ Muse Wonder Full (max) places in the top three on six of the ten Intelligence Index evaluations, and is particularly strong in agentic knowledge work and scientific reasoning. In agentic knowledge work, it narrowly leads on GDP.pdf (33%), ranks #2 on GDPval-AA v2.1 (1857 Elo), and #3 on both AA-Briefcase (1729 Elo) and AutomationBench-AA (71%). In scientific reasoning, it tops the CritPt leaderboard at 33% and ranks #3 on SciCode with 63%. This builds on the relative strengths of Muse Spark 1.3 (max), which also showed particular ability in these two domains ➤ Both models use fewer output tokens than Muse Spark 1.3 (max). Muse Wonder (max) and Muse Wonder Full (max) each use around 54k output tokens per Intelligence Index task, down ~10% from Muse Spark 1.3 (max, 60k). This usage is lower than similarly intelligent models Gemini 4 Argon (high, 62k) and Claude Fable 5.1 (max w/ fallback, 78k), but higher than GPT-6.1 Sol (max, 38k) and GPT-6 Astra (max, 27k). Muse Wonder Full (max) uses 16% fewer input tokens per Intelligence Index task than Muse Wonder (max) (6.44M vs 7.69M), meaning it is both more intelligent and more token-efficient ➤ Cost per Task for Muse Wonder (max) lands higher than most similarly intelligent models. Despite efficient output token use, premium API pricing ($4 per million input tokens, $20 per million output tokens) and high input token use (7.69M per task) push Muse Wonder (max)’s cost to $4.52 per Intelligence Index task. This is lower than Claude Fable 5.1 (max w/ fallback, $7.63), Claude Opus 5.5 (max w/ fallback, $5.98), and Claude Sonnet 5.5 (max w/ fallback, $5.46), but higher than GPT-6 Astra (max, $3.26), Gemini 4 Argon (high, $1.99), GPT-6.1 Sol (max, $0.72), and its predecessor Muse Spark 1.3 (max, $1.60). Per-token pricing is not currently available for Muse Wonder Full, so no Cost per Task figure can be estimated at this stage ➤ Both models gain significantly in Coding Agent performance. Muse Wonder Full achieves 68 on the Artificial Analysis Coding Agents Index at max effort in Muse Code, alongside Claude Code with Sonnet 5.5 (max, 68) and Opus 5.5 (max, 66). Muse Wonder (max) scores 63. These represent material gains over Muse Code with Muse Spark 1.3 (max), which scores 54 Other details for the two new models: ➤ Context windows: 1M tokens each, unchanged from Muse Spark 1.3 ➤ Pricing: for Muse Wonder, $4 input / $0.20 cached input / $20 output per 1M tokens. Pricing per token is not yet announced for Muse Wonder Full ➤ Input modalities: text, image, video, and audio ➤ Output modalities: text ➤ Availability: Muse Wonder is available on Meta's first-party API and Muse Code at launch, while Muse Wonder Full is only available to Muse Code users
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The wholesale pillaging of our shared culture heritage for AI training is just straight up evil. It’s an unprecedented theft on an industrial scale. Unfortunately, the courts don’t care. District Judge Amit P. Mehta just dismissed an extremely strong antitrust case in Penske vs. Google. He said the harms publishers have faced are extreme and real, but his hands are tied until Congress acts, which our dysfunctional gerontocracy will never do. An impotent judicial branch has given Google, OpenAI, Meta, Anthropic et al a license to steal anything they want, even as these companies aggressively move to protect their own IP against Chinese AI labs. IP for me but not for thee. A disgrace and a direct threat to the free press. Supervillainy.
I’m starting to get increasingly uncomfortable with the economics of AI as it is currently happening It seems fundamentally wrong that a small number of people with access to a huge amounts of VC money can vacuum up all the contributions of humanity, often paying nothing for it, then turn around and get enormously rich while the many people who put all the work into creating the training data get nothing I am generally pro-AI, but the way it is happening is seeming increasingly parasitic to me
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This is the definition of a nuisance streamer. The attention economy is a race to the bottom. This guy and Bonnie Blue are both on the same racetrack; she’s just much further ahead. Zuckerberg et al promised superintelligence through smart glasses, but this is what we actually got.
$60 for a loaf?! Dead ass, I would have been wildin too bruh 😂😂😂
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Great report from The Verge. I wish Anthropic was less concerned about hurting Claude’s feelings and more concerned with non-hypothetical harms, ie is the data center rollout contributing to climate change? Remember when we were worried about that?
Exclusive: Anthropic is updating its usage policy for the first time in over a year. The new rules prohibit sustained "abusive or cruel behavior" towards Claude & add new restrictions about propaganda campaigns, surveillance & weapon development. theverge.com/ai-artificial-i…
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I think the AI industry/so-called rationalists are so high on their own supply. They think they’re immune to AI psychosis, but they may be most susceptible to it. Just a complete inability to understand the way most people relate to technology. The people who want AI to read bedtime stories to their kids. You see this also in how they insist AI skepticism must be a foreign psyop. See also: wildly overestimating their ability to predict the future. The term doomsday cult is too strong, but it’s not THAT far off.
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I encourage everyone freaking out about AI worst-case scenarios to read the Hyperion Cantos by Dan Simmons, which explores the idea of an AI civilization working at cross-purposes to humanity. Of course, it doesn't pretend to predict the future, unlike a lot of AI doomers.
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