Author: Carter

Inference speed is quickly emerging as a key battleground for large language models. Xiaomi’s MiMo team has introduced MiMo-V2.5-Pro-UltraSpeed, developed alongside the TileRT systems team. This new release pushes a 1-trillion-parameter model past 1,000 tokens per second during decoding—a milestone the company describes as unprecedented at this scale. In demonstrations, generation rates have even touched 1,200 tokens per second. What makes this noteworthy is the hardware setup: it all runs on off-the-shelf GPUs, rather than on proprietary chips. What is MiMo-V2.5-Pro-UltraSpeed UltraSpeed is a high-performance inference mode layered on top of the existing MiMo-V2.5-Pro model. The underlying foundation is built…

Bitcoin kicked off the second week of June on the back foot — and fresh multiyear lows could still lie ahead before the year ends.Traders expect BTC to see a short-term bounce, but most agree the true market bottom hasn’t been reached yet.Key US inflation data will put market confidence to the test as tensions from the US-Iran conflict continue to weigh on sentiment.Peace-deal pledges from US President Donald Trump have done little to calm nervous markets.Several on-chain indicators suggest analysts are cautiously optimistic that the worst of the sell-off may be behind us.Crypto sentiment has plunged to historic lows.Bitcoin’s…

In February 2025, Andrej Karpathy introduced the phrase “vibe coding” to capture a fresh approach to software creation: fast, AI-powered development where users “fully surrender to the vibes, ride the exponential wave, and stop worrying about the code itself.” Now in 2026, the CEO of Anthropic forecasts that AI will write 90% of all code within the next three to six months. A recent survey reveals that 84% of developers worldwide are either already using or planning to adopt AI coding tools in their daily work, up from 76% in 2024. Among those, more than half of professional developers rely…

The AWS IoT Device SDK for Swift has officially reached general availability this week. As a participant in the Swift Server Workgroup (SSWG), I found this release particularly noteworthy. The new SDK equips Swift developers working on macOS, iOS, tvOS, and Linux with robust MQTT 5 connectivity, along with support for Device Shadow, Jobs, and fleet provisioning. I’m eager to discover what you’ll create with this toolkit. Swift on the server has grown significantly more capable in recent years, and its expansion into the IoT sphere marks another milestone. This aligns with a wider movement toward deploying Swift at the…

By Manuel Nau, Editorial Director at IoT Business News.Generative AI Meets IoT SecurityThe merging of Generative AI with the Internet of Things is unlocking fresh possibilities throughout the connected technology ecosystem. While most conversations about Generative AI center on boosting productivity, advancing software development, or enhancing customer-facing tools, a quieter yet potentially game-changing application is taking shape: cybersecurity for interconnected systems.As IoT networks keep expanding—spanning industrial automation, smart utilities, connected healthcare, and logistics—security professionals are confronting a growing challenge: millions of devices produce enormous streams of telemetry data, attack surfaces keep widening, and cyber threats advance more rapidly than traditional…

JOSH EDELSON / Contributor/AFP via GettyFollow ZDNET: Add us as a preferred source on Google.ZDNET’s key takeawaysSiri AI now matches the capabilities of leading AI assistants.It can handle complex, multi-step commands and requests.Apple has also broadened its range of AI models and upgraded its infrastructure.After years of anticipation, Apple unveiled its AI-enhanced Siri at WWDC on Monday, officially named Siri AI. While retaining some of the familiar features loyal users expect, the assistant now leverages Apple Intelligence—the company’s privacy-focused AI platform introduced two years ago at WWDC 2024—to deliver significantly improved functionality.However, unlocking the full potential of this new Siri…

A well-known proverb in American culture goes like this: “You can’t have your cake and eat it too.” This phrase strikes me as both beautifully poetic and refreshingly practical. At its core, it reminds us that every achievement comes with compromise — nothing comes for free. We won’t dive into the deeper philosophy here, but when it comes to data science and software engineering, this idea hits especially close to home. Here’s why. In the world of software engineering and data science, there’s no such thing as a universally “perfect” design. An algorithm that works brilliantly in one context may…

Cloudflare’s Threat Events gives security analysts a comprehensive view of global cyber threats. The platform offers a snapshot of the massive volume of traffic Cloudflare handles daily, enabling real-time tracking of which IPs are attacking specific industries or which threat actors are gaining momentum worldwide. However, turning that awareness into active defense has traditionally been a manual, after-the-fact effort.Security teams have long dealt with a persistent challenge: being aware that certain IP addresses were linked to particular threat actors (such as Tycoon 2FA or RaccoonO365) or had been observed targeting their industry in other regions, yet lacking an easy way…

` David Gewirtz/ZDNETStay updated with ZDNET: Mark us as a preferred source on Google.ZDNET’s main pointsChatGPT now builds a detailed profile based on previous conversations.Outdated or unrelated details can skew future AI responses.Disabling memory might not fully delete what ChatGPT retains.Based on a blog post published last week, OpenAI appears enthusiastic about the “upgrades” it has rolled out for how user memories are managed within the chatbot. Personally, I’m not a fan—in fact, I strongly dislike them. The only question remains: will disabling these new features actually help, or could it potentially cause more issues?Also: ChatGPT versus Gemini for AI…

Embodied AI is shifting from a sole reliance on vision-based sensing into a more physically interactive paradigm known as Physical AI. Although vision gives robots the ability to perceive their surroundings, it falls short of capturing the subtle tactile interactions fundamental to manipulating real-world objects. This limitation constrains robots to operating dependably within dynamic, unpredictable settings. With the rise of World Models, tactile sensing is rapidly gaining recognition as a complementary modality. Offering information that goes beyond what cameras alone deliver, tactile data equips robots to better interpret and respond to tangible aspects of the physical world, forming a core…