Insights, tutorials, and news from the Mazakiya-AI team.

We've been experimenting with running coding agents autonomously for weeks. Our goal is to understand how far we can push the frontier of agentic coding for projects that typically take human teams months to complete

So, I'm walking through a park when I see this thing lying on the ground:It's a disposable vape that someone has discarded because it's empty

TimeCapsule LLM A language model trained from scratch exclusively on data from certain places and time periods to reduce modern bias and emulate the voice, vocabulary, and worldview of the era

Every third booth at CES showed off some new AI product or other. If you wanted to find a robotic lawn mower, throw a rock. Humanoid robots, smart locks and super thin TVs were everywhere. But if you went looking for sustainability products, you’re going to have to hunt a bit. Last year, the Sustainability section at the Las Vegas Convention Center had 20 booths. This year, there were 38, but that’s in part due to the combination of the energy and sustainability categories. So exhibitors like South Korea’s largest electric utility company, a nuclear power company from the same country and lots of battery manufacturers. There was also an AI data platform booth in the section that had nothing to do with sustainability as far as I can tell. Guess the organizers just ran out of room for all the AI. Within the sustainability section, and at other CES venues, I found a few encouraging displays of sustainable products — organizations and devices that were trying to address the multitude of problems the world is facing when it comes to energy production, climate and pollution. But none of it quite achieved Engadget’s best of CES status this year. Some of what we saw was utility-scale, some wasn’t quite ready for consumer consumption and other stuff was too niche or had too many caveats to make the list. I won’t go so far as to say sustainability is dead at CES, because that sends me into dark downward spirals, but it’s getting sparse out there, friends. Here are the companies I saw that had promise and innovative ideas. And gosh darn it, at least these guys are trying. Shine Turbine 2.0 Spinning the Shine 2.0 wind turbine Amy Skorheim for Engadget This little guy could be a precursor to some serious personal wind power generation. That’s where the company is heading. For now, the Shine 2.0 can use as little as a light breeze to start generating power to charge your smartphones, laptops or even a power station. The whole unit weighs three pounds and sets up in around two minutes. The second generation model can output up to 75 watts and the company is working on a third version that goes up to 100 watts for even more substantial energy production. Learn more at Shine. Flint battery tech Flint batteries break down by 70 percent in four weeks in a compost pile. Amy Skorheim for Engadget When I approached Flint’s booth, the rep told me the company made cellulose batteries. And I thought, like paper-wrapped batteries? Nope. The chemicals inside the batteries are made from cellulose. They have a solvent-free, lithium-free, PFAS-free chemistry and break down by 70 percent in four weeks in a composting environment. They use the same basic architecture as a lithium-ion cell, with an anode, cathode and separator with ion transfers between the two. As of now, Flint is focused on partnering with manufacturers, and consumer products are on the horizon. Learn more at Flint. Clear Drop soft plastics compactor The Clear Drop soft plastics compactor next to a pile of the bricks it produces. Amy Skorheim for Engadget The Clear Drop is a soft plastics compactor that creates eight by twelve by four-inch bricks out of hundreds of grocery bags, bubble wrap, ziplocks and plastic packaging. One brick is equivalent to a 30-pound trash bag-worth of bags. Once the brick is created, it can be shipped to one of Clear Drop’s partner facilities in a pre-paid USPS shipping envelope. They currently work with a few US-based recycling facilities and hope to one day create an infrastructure to include municipal recycling. Learn more at Clear Drop. Alpha Power by CPTI Alpha power by CPTI Amy Skorheim for Engadget From what I’ve learned at the show, perovskite is the hottest thing in solar right now. It’s a mineral compound that’s been used to create more efficient solar panels. Some so sensitive to light that just indoor illumination is enough to create usable energy. Alpha Power by CPTI creates lightweight, flexible perovskite solar panels that can conform to multiple surfaces. Again, this is a company that’s partnering with manufacturers, so look for panels built into your laptop to charge it under the glare of your too-harsh office lights. Learn more at CPTI. Green Vigor 3D models of buildings using Green Vigor technology. Amy Skorheim for Engadget Down in the lower levels of the Venetian Expo at CES I found Green Vigor in the Hong Kong pavilion. This small company has two solutions to create energy for buildings by harnessing the potential energy from existing systems. HydroVigor generates power from water systems. So every time someone washes their hands or flushes a toilet in a building, the roof-top system generates a bit of power. CoolVigor uses the same principles to harness energy from HVAC systems. HydroVigor is currently in use in many buildings in Singapore and Hong Kong and they’re working to expand to more buildings globally. Learn more at GreenVigor. Jackery Solar Gazebo Jackery's Solar Gazebo. Amy Skorheim for Engadget This outdoor hangout spot can produce up to 10kWh of power on a given day. It’s a modular design that lets you choose louvered walls, sunshades, lights and fans when you order it and the solar panels are so strong that a full-sized human Jackery rep was able to stand on a sample panel in front of me and nothing cracked (though the company officially rates it at 20 pounds of snow per square foot). You can use the power directly, tie it into your home system, feed it into the grid or hook it up to one of Jackery’s many power stations to save the power for later. The gazebo costs $12,000 and will ship in mid-2026. Learn more at Jackery. Bluetti RV Solar System Bluetti's DIY RV Solar power system Amy Skorheim for Engadget Bluetti, like Jackery, is known for its vast lineup of portable and fixed power stations and batteries. This year, it brought a new power station made with bio-based plastic as well as a DIY system for adding solar power to your existing RV. Learn more at Bluetti. Airloom wind power generation Airloom's roller coaster-like wind power generator for data centers. Amy Skorheim for Engadget Engadget’s Anna Washenko does a great job of explaining the tech behind Airloom. In short it’s a roller coaster for wind that’s comprised of 40 percent less mass than a standard wind turbine and uses 42 percent fewer parts and 96 percent fewer unique parts. That makes it faster to deploy and cheaper to instal. I can also be sited in more places. Again, this is a utility-scale solution, geared towards data centers and their insatiable need for energy to power Very Important AI Things. Learn more at Airloom. Gaotu Innovation Energy Group Gaotu had a range of solar products in various formats. Amy Skorheim for Engadget If you are looking for a solar-powered anything, hit up Gaotu. At the company’s booth, I saw hats, a fishing chair, a backpack, a sunbrella and a car roof-top enclosure that unfurls to charge up your Tesla. The Shenzhen-based company has been in business for 18 years and plans to just keep sticking solar panels on anything it can. Learn more at Gaotu. Segway Muxi cargo e-bike Segway's latest cargo e-bike Amy Skorheim for Engadget The single largest booth in the CES sustainability section was Segway. This year, the company showed off two new e-bikes, which our own Dan Cooper covered. This one here is the Muxi, a cargo bike with an easily swappable battery, an optional passenger seat with foot pegs and an optional middle basket. Plus a beverage cup holder. Learn more at Segway. If we don’t all fall into the ocean before then, perhaps CES 2027 will have a stronger showing of sustainability tech. In the meantime, I’ll take a modicum of comfort in these few brave organizations still dedicated to keeping us afloat.

A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious science. In the rush to build autonomous AI agents, developers have largely been forced into a binary choice: surrender control to massive, complex ecosystems like LangChain, or lock themselves into single-vendor SDKs from providers like Anthropic or OpenAI. For software engineers, this is an annoyance. For scientists trying to use AI for reproducible research, it is a dealbreaker. Enter Orchestral AI, a new Python framework released on Github this week that attempts to chart a third path. Developed by theoretical physicist Alexander Roman and software engineer Jacob Roman, Orchestral positions itself as the "scientific computing" answer to agent orchestration—prioritizing deterministic execution and debugging clarity over the "magic" of async-heavy alternatives. The 'anti-framework' architecture The core philosophy behind Orchestral is an intentional rejection of the complexity that plagues the current market. While frameworks like AutoGPT and LangChain rely heavily on asynchronous event loops—which can make error tracing a nightmare—Orchestral utilizes a strictly synchronous execution model. "Reproducibility demands understanding exactly what code executes and when," the founders argue in their technical paper. By forcing operations to happen in a predictable, linear order, the framework ensures that an agent’s behavior is deterministic—a critical requirement for scientific experiments where a "hallucinated" variable or a race condition could invalidate a study. Despite this focus on simplicity, the framework is provider-agnostic. It ships with a unified interface that works across OpenAI, Anthropic, Google Gemini, Mistral, and local models via Ollama. This allows researchers to write an agent once and swap the underlying "brain" with a single line of code—crucial for comparing model performance or managing grant money by switching to cheaper models for draft runs. LLM-UX: designing for the model, not the end user Orchestral introduces a concept the founders call "LLM-UX"—user experience designed from the perspective of the model itself. The framework simplifies tool creation by automatically generating JSON schemas from standard Python type hints. Instead of writing verbose descriptions in a separate format, developers can simply annotate their Python functions. Orchestral handles the translation, ensuring that the data types passed between the LLM and the code remain safe and consistent. This philosophy extends to the built-in tooling. The framework includes a persistent terminal tool that maintains its state (like working directories and environment variables) between calls. This mimics how human researchers interact with command lines, reducing the cognitive load on the model and preventing the common failure mode where an agent "forgets" it changed directories three steps ago. Built for the lab (and the budget) Orchestral’s origins in high-energy physics and exoplanet research are evident in its feature set. The framework includes native support for LaTeX export, allowing researchers to drop formatted logs of agent reasoning directly into academic papers. It also tackles the practical reality of running LLMs: cost. The framework includes an automated cost-tracking module that aggregates token usage across different providers, allowing labs to monitor burn rates in real-time. Perhaps most importantly for safety-conscious fields, Orchestral implements "read-before-edit" guardrails. If an agent attempts to overwrite a file it hasn't read in the current session, the system blocks the action and prompts the model to read the file first. This prevents the "blind overwrite" errors that terrify anyone using autonomous coding agents. The licensing caveat While Orchestral is easy to install via pip install orchestral-ai, potential users should look closely at the license. Unlike the MIT or Apache licenses common in the Python ecosystem, Orchestral is released under a Proprietary license. The documentation explicitly states that "unauthorized copying, distribution, modification, or use... is strictly prohibited without prior written permission". This "source-available" model allows researchers to view and use the code, but restricts them from forking it or building commercial competitors without an agreement. This suggests a business model focused on enterprise licensing or dual-licensing strategies down the road. Furthermore, early adopters will need to be on the bleeding edge of Python environments: the framework requires Python 3.13 or higher, explicitly dropping support for the widely used Python 3.12 due to compatibility issues. Why it matters "Civilization advances by extending the number of important operations which we can perform without thinking about them," the founders write, quoting mathematician Alfred North Whitehead. Orchestral attempts to operationalize this for the AI era. By abstracting away the "plumbing" of API connections and schema validation, it aims to let scientists focus on the logic of their agents rather than the quirks of the infrastructure. Whether the academic and developer communities will embrace a proprietary tool in an ecosystem dominated by open source remains to be seen, but for those drowning in async tracebacks and broken tool calls, Orchestral offers a tempting promise of sanity.

What the latest tech-marketing buzzword has to say about the future of automotive.

Last year's premium Gmail AI features are also rolling out to free users.

The Blue Oval is also working on new hands-free driver assists.

Nearly everyone has experienced it—after a night of poor sleep, your brain might seem foggy, and your mind drifts off when you should be paying attention. A new MIT study reveals what happens biologically as these momentary lapses occur: Your brain is performing essential maintenance that it usually takes care of while you sleep. During

Nadella wants us to think of AI as a human helper instead of a slop-generating job killer. New data for 2026 indicates he could be right.

We’ve all fantasied about sprawling on an embroidered chaise lounge while our amanuensis faithfully typed out everything we said. SwitchBot turned up to CES with something that does a similar job, but without the romance of the amanuensis, the typewriter or the chaise lounge. Instead, it’s launching the AI MindClip, a wearable microphone which records and transcribes every noise to come from your mouth. The company isn’t alone, with many others turning up to CES this year offering devices to log your thoughts through the day. But SwitchBot does hope to distinguish itself from the crowd with an AI which can both summarize and extract useful data from your chats. The company’s representatives said it will use its initiative and create its own reminders based on what it thinks you’ll need to remember. Sadly, we couldn’t get to see it working in person, and we don’t know when it’ll be available or how much it’ll cost. But it’ll probably be a little bit cheaper than a chaise lounge.

After years of hype about generative AI increasing productivity and making lives easier, 2025 was the year erotic chatbots defined AI’s narrative.

Listen to a recap of the top stories of the day from 9to5Mac. 9to5Mac Daily is available on iTunes and Apple’s Podcasts app, Stitcher, TuneIn, Google Play, or through our dedicated RSS feed for Overcast and other podcast players. Sponsored by Roborock: Save on Roborock’s flagship vacuums — but hurry, these deals won’t last long!

Scroll through the whole page to download all images before printing. The calendar turns, and once again a lively procession of books, images, films, and music leaves copyright behind and steps into the ever-growing public domain

Imagine a sudden, lifealtering event where a part of your brain is starved of oxygen, causing vital cells to die. This is what happens during a stroke, leaving millions worldwide with devastating disabilities

After a rudderless year and an exodus of around 4,000 employees due to Trump administration cuts, NASA got what may be its first piece of good news recently. On December 17, the Senate confirmed billionaire Jared Isaacman as the agency's new administrator. He now holds the power to rehabilitate a battered engine of scientific research, or steer it towards even more disruption. Considering the caliber of President Trump's other appointees, Isaacman is probably the best candidate for the job. Outside of being a successful entrepreneur, he has flown fighter jets and been to space twice as part of the Inspiration4 and Polaris Dawn private missions. One of those flights saw him complete the first commercial space walk, and travel farther from Earth than any human since the end of the Apollo program. "Perfect is the enemy of the good. Isaacman checks a lot of boxes," says Keith Cowing, a former NASA employee and the founder of NASA Watch, a blog dedicated to the agency. "He's passed every requirement to fly in a spacecraft that American astronauts at NASA are required to pass. He also went out of his way to have a diverse crew, and shove as much science as he could in those missions." And yet if you're a NASA employee or just someone who cares about the agency's work, there are still plenty of reasons to be concerned for its future. When Trump first nominated Isaacman in the spring, the billionaire wrote a 62-page document detailing his vision for NASA. In November, Politico obtained a copy of that plan, titled Project Athena. To some insiders, Project Athena painted a picture of someone who, at least at the time when it was written, fundamentally misunderstood how NASA works and how scientific discovery is funded in the US and elsewhere. It also suggests Isaacman may be more open to Trump's NASA agenda than would appear at first glance. When asked about the plan by Politico, one former NASA official characterized it as "bizarre and careless." Another called it “presumptuous," given many of the proposed changes to the agency's structure would require Congressional approval. In one section, Isaacman recommended taking “NASA out of the taxpayer funded climate science business and [leaving] it for academia to determine.” In another section, he promised to evaluate the “relevance and ongoing necessity” of every agency center, particularly NASA's iconic Jet Propulsion Laboratory, saying the facility and others must increase the “output and time to science KPI.” A lot has changed since Isaacman first wrote that document. It came before the workforce cuts, before the future of Goddard Space Flight Center became uncertain and before Trump surprised everyone by renominating Isaacman. But during his Senate testimony earlier this month, the billionaire said “I do stand behind everything in the document, even though it was written seven months ago. I think it was all directionally correct.” He did appear to distance himself from some viewpoints expressed in or inferred by Project Athena, however. Isaacman stated that “anything suggesting that I am anti-science or want to outsource that responsibility is simply untrue.” He also came out against the administration's plan to cut NASA's science budget nearly in half, claiming the proposals would not lead to "an optimal outcome." One thing is clear, Isaacman is not your typical bureaucrat. "One of the pitfalls of some prior NASA administrators has been that they've shown too much reverence for the internal processes and bureaucratic structure of the agency to the detriment of decision-making and performance," said Casey Drier, chief of space policy at The Planetary Society, a nonprofit that advocates for the exploration and study of space. "Isaacman has positioned himself as the opposite of that. Clearly, that's something that could lead to a lot of political and congressional challenges if taken too far." Even if Isaacman doesn't follow through on any of the proposals made in Project Athena, there's only so much a NASA administrator — even one sympathetic to civil servants working under them — can do. "Once a budget request goes out publicly, everyone in the administration has to defend it. Anything he does will have to be internal and private," Drier explains. "He never explicitly criticized the administration during his hearing. He's also coming relatively late in the budget process." A lot of NASA's future will depend on the White House Office of Management and Budget (OMB), which is responsible for implementing the president's agenda across the executive branch. As a direct result of guidance the OMB issued over the summer, NASA awarded 25 percent fewer new grants in 2025 than it did on average between 2020 and 2024. "The OMB has added layers of requirements that scientists now have to go through to spend the money they've already been allocated. The administration has worked against its own stated goals of efficiency," Drier said. "Isaacman can't solve that himself. He can't tell the OMB what to do. That's going to be a serious challenge." Looming over everything is the fact NASA still does not have a full-year budget for 2026. Congress has until January 30 to fund NASA and the rest of the federal government before the short-term funding bill it passed on November 12 runs out. "On paper, the official policy of the administration is still to terminate a third of NASA's scientific capability," Drier points out. There are reasons to be cautiously optimistic. Publicly, both the House and Senate have come out against Trump's funding cuts. And some science missions that were slated to be cancelled, such as OSIRIS-APEX, have been approved for another full year of operations. What NASA needs now is someone who will, as Drier puts it, "vigorously advocate" for the agency in whatever way they can. It remains to be seen if that's Jared Isaacman.

Home December 2025 In an earlier writeup I discussed how to create reproducible bundles of git repositories such that a file-based backup strategy can operate incrementally
Google's Pixel Watch 4 is an excellent smartwatch with fast charging and great design.

Grogg published on Dec 27, 2025For many years now, JavaScript has been the workhorse of the web. If you wanted to do something that couldn't be done with just HTML and CSS, you could usually find a way to do it with JS

Users of AI image generators are offering each other instructions on how to use the tech to alter pictures of women into realistic, revealing deepfakes.

MiniMax M2.1 is engineered for peak performance on real-world complex tasks. Learn how its multi-language programming capabilities streamline development, transforming your workflow. Master intricate projects with unparalleled efficiency.

The company made 80 times as many reports to the National Center for Missing & Exploited Children during the first six months of 2025 as it did in the same period a year prior.

In May, OpenAI agreed to pay $3 billion for Windsurf, the AI coding assistant formerly known as Codeium. Three billion dollars. For a VSCode fork. The deal eventually fell apart, but what matters is that they wanted to do it in the first place

2025-12-22 · ResearchGLM-4. 7, your new coding partner, is coming with the following features:Core Coding: GLM-4. 7 brings clear gains, compared to its predecessor GLM-4

If you were an internet user around the turn of the century, there's a good chance I could play a one-second long sound of a door opening and memories would immediately come flooding back. Memories of running home from school and logging onto AOL Instant Messenger to chat with your friends or your crush. Maybe memories of how AIM changed the way your company did business. Certainly memories of your old screen name, and the angsty song lyrics you put into your away message. AIM was, for a time, the most important chat app on the internet. It also barely managed to continue to exist. The app was created by a semi-rogue team inside of AOL, and

Here's how to use Google Gemini to detect certain AI-generated videos.

Are you a data scientist or leading a data science team constantly battling with escalating cloud costs. It's a common scenario

As the world looks to incorporate more renewables into energy grids, centuries-old systems that can balance supply and demand are being reappraised and innovated upon.

Working Paper 34553 DOI 10. 3386/w34553 Issue Date December 2025 The education-mortality gradient has increased sharply in the last three decades, with the life-expectancy gap between people with and without a college degree widening from 2

Published by Martin Kleppmann on 08 Dec 2025

Riverside's year-end review is amusing, but it represents a creative culture that's increasingly entwined with AI.

hashcards is a local-first spaced repetition app, along the lines of Anki or Mochi. Like Anki, it uses FSRS, the most advanced scheduling algorithm yet, to schedule reviews

If you gift an iPad this holiday season, don't forget a case. Discover our favorite iPad Air cases from brands including Apple, Burga, and Logitech.

12th December 2025 One of the things that most excited me about Anthropic’s new Skills mechanism back in October is how easy it looked for other platforms to implement

This section was labeled under, or is related to Programming In Dec 2022 I watched Richard Stallman’s talk on the EmacsConf, it was titled “What I’d like to see in Emacs”

The names of two partial owners of firms linked to the Salt Typhoon hacker group also appeared in records for a Cisco training program—years before the group targeted Cisco’s devices in a spy campaign.

The port will revolutionize global trade, but it’s sparking destructive rainforest routes.

So after all these hours talking about AI, in these last five minutes I am going to talk about: horses. Engines, steam engines, were invented in 1700. And what followed was 200 years of steady improvement, with engines getting 20% better a decade

In January 2024, the phone rang in homes all around New Hampshire. On the other end was Joe Biden’s voice, urging Democrats to “save your vote” by skipping the primary. It sounded authentic, but it wasn’t. The call was a fake, generated by artificial intelligence. Today, the technology behind that hoax looks quaint. Tools like

"Every knight needs a squire, and you look like you need one more than most."

disclaimer: this is educational security research only. i do not condone piracy. i purchased a legitimate license for this software and conducted this analysis on my own property

Defendants were convicted of similar crimes a decade ago. How were they cleared again?

Apple has just debuted the RC (release candidate) versions of its various 26.2 software updates, including iPadOS 26.2 and more. Here’s what to expect.

OpenAI risks increased fines after deleting pirated books datasets.

At the start of each year, on January 1st, a new crop of works enter the public domain and become free to enjoy, share, and reuse for any purpose

Cyber Monday is tomorrow, but Best Buy has some excellent deals live now, like the Hisense Canvas TV for 35% off.

Google LLC has dropped an antitrust complaint that it filed in the European Union last year over Microsoft Corp.’s business practices. The search giant announced the move today. The development comes a few days after the European Commission, the EU’s executive arm, launched an antitrust probe into Microsoft. The investigation will scrutinize the company’s conduct […] The post Google drops EU antitrust complaint against Microsoft amid cloud probe appeared first on SiliconANGLE.

Toulouse, France, 28 November 2025 – Analysis of a recent event involving an A320 Family aircraft has revealed that intense solar radiation may corrupt data critical to the functioning of flight controls

Let’s say you already have the latest and greatest Apple gear, maybe like yours truly. Well, the good news is we still have plenty of Black Friday deals on ways to accessorize your gear. We’re tracking huge savings on Apple’s entire lineup of official accessories for iPhone, Apple Watch, and more. Plus, deals on the best accessories from our favorite accessory makers like Nomad, Twelve South, and Satechi.

← Back to News page November 26, 2025 org/ziglang/zigEver since git init ten years ago, Zig has been hosted on GitHub. Unfortunately, when it sold out to Microsoft, the clock started ticking

I talked with nine creators about economic pressures and fan backlash.

The world’s greatest skyrunner shares the shoes, fitness tracker, and practices that let him climb every mountain in the western United States in just 31 days.

Written by EMILY SNEDDON Published on 6TH NOVEMBER 2025 Fran Sans is a display font in every sense of the term. It’s an interpretation of the destination displays found on some of the light rail vehicles that service the city of San Francisco

Apple’s AirPods lineup is stronger than it’s ever been, with compelling options at multiple different price points. If you’re exploring which AirPods 4 vs AirPods Pro to buy this holiday season, whether for yourself or someone else, here’s what you need to know.

The Arduino Terms of Service and Privacy Policy update: setting the record straight Arduino Team — November 21st, 2025 We’ve heard some questions and concerns following our recent Terms of Service and Privacy Policy updates

Meet ravynOS, a new open-source OS bridging the gap to macOS. Built on FreeBSD for x86-64, it aims for macOS source compatibility (compile & run Mac apps!), familiar GUI, folder layouts like /System, plus ZFS & Linux binary support. Get ready for an OS that feels like home.

Fetch AI, a startup founded and led by former DeepMind founding investor, Humayun Sheikh, on Wednesday announced the release of three interconnected products designed to provide the trust, coordination, and interoperability needed for large-scale AI agent ecosystems. The launch includes ASI:One, a personal-AI orchestration platform; Fetch Business, a verification and discovery portal for brand agents; and Agentverse, an open directory hosting more than two million agents. Together, the system positions Fetch as an infrastructure provider for what it calls the “Agentic Web”—a layer where consumer AIs and brand AIs collaborate to complete tasks instead of merely suggesting them. The company says the tools address a central limitation in current consumer AI: models can provide recommendations but cannot reliably execute multi-step actions that require coordination across businesses. Fetch’s approach centers on enabling agents from different organizations to interoperate securely, using verified identities and shared context to complete end-to-end workflows. “We’re creating the same foundation for agents that Google created for websites,” said Humayun Sheikh, Founder and CEO of Fetch AI, and an early investor in DeepMind, in a press release provided to VentureBeat. “Instead of just finding information, your personal AI coordinates with verified brand agents to get things done.” Fetch’s founding and DeepMind connection Fetch AI was founded in 2017 by Humayun Sheikh, an entrepreneur whose early investment in DeepMind helped support the company’s commercial development before its acquisition by Google. “I was one of the first five people at DeepMind and its first investor. My check was the first one in,” Sheikh said, reflecting on the period when advanced machine learning research was still largely inaccessible outside major technology companies. His early experience helped shape Fetch’s direction. “Even in 2013, it was clear to me that agentic systems were going to be the ones that worked. That’s where I focused—on the agentic web,” Sheikh noted. Fetch built on this thesis by developing infrastructure for autonomous software agents, focusing on verifiable identity, secure data exchange, and multi-agent coordination. Over the past several years, the company has expanded to a 70-person team across Cambridge and Menlo Park, raised approximately $60 million, and accumulated more than one million users interacting with its model—data that informed the design of the newly launched products. Sheikh added that his decision to bootstrap the company initially came directly from the proceeds of the DeepMind exit, noting in the interview that while the sale to Google was “a good exit,” he believed the team could have held out for a higher valuation. The early self-funding period allowed Fetch to begin work in 2015—well before transformer architectures went mainstream—on the hypothesis that agentic infrastructure would become foundational to applied AI. ASI:One is a platform for multi-agent orchestration At the core of the launch is ASI:One, a language model interface designed specifically for coordinating multiple agents rather than addressing isolated queries. Fetch describes it as an “intelligence layer” that handles context sharing, task routing, and preference modeling. The system stores user-level signals such as favored airlines, dietary constraints, budget ranges, loyalty program identifiers, and calendar availability. When a user requests a complex task — such as planning a trip with flights, hotels, and restaurant reservations — ASI:One retrieves those preferences and delegates work to the appropriate verified agents. The agents then return actionable outputs, including inventory and booking options, rather than generic recommendations. In practice, ASI:One functions as a workflow generator across organizational boundaries. By contrast with conventional LLM applications, which often rely on APIs or RAG techniques to surface information, ASI:One is built to coordinate autonomous agents that can complete transactions. Fetch notes that personalization improves over time as the model accumulates structured preference data. Sheikh emphasized the distinction between orchestrated execution and traditional AI output. “This isn’t searching for options separately and hoping they work together,” he said. “It’s orchestration.” He added that Fetch’s architecture is intentionally modular: “Our architecture is a mix of agentic and expert models. One large model isn’t enough — you need specialists. That’s why we built ASI1, tuned specifically for agentic systems.” The interview also revealed new details about ASI:One’s personalization systems: the platform uses multiple user-owned knowledge graphs to store preferences, travel history, social connections, and contextual constraints. These knowledge graphs are siloed per user and not co-mingled with any Fetch-operated data. Sheikh described this as a “deterministic backbone” that gives the personal AI a stable memory layer beyond the probabilistic output of a single large model. ASI:One launches in Beta today, with a broader release planned for early 2026. Fetch also offers ASI:One Mobile, released earlier this year, giving users access to the same agent-orchestration capabilities on iOS and Android. The mobile app connects directly to Agentverse and the user’s knowledge graphs, enabling on-the-go task execution and real-time interaction with registered agents. Fetch Business offers verified identity and brand control To enable reliable coordination between consumers and companies, Fetch is introducing a verification and discovery portal called Fetch Business. The platform allows organizations to verify their identity and claim an official Brand Agent handle — for example, @Hilton or @Nike — regardless of which tools they use to build the underlying agent. Fetch positions the product as an analogue to ICANN domain registration and SSL certificate systems for websites. Verified status is intended to protect consumers from interacting with counterfeit or untrusted agents, a problem the company describes as a major barrier to widespread agent adoption. The system includes low-code tools for small businesses to create agents in a few steps and connect real-time APIs such as inventory, booking systems, or CRM platforms. “With Fetch, you can create an agent in one minute. It gets a handle, like a Twitter username, and you can personalize it completely—even give it your social media permissions to post on your behalf,” Sheikh said. Once a brand claims its namespace, its agent becomes discoverable to consumer AIs and other agents inside Agentverse. The company has pre-reserved thousands of brand namespaces in anticipation of demand. Verification status persists across any platform that integrates with Agentverse, creating a portable identity layer for business agents. The interview highlighted that Fetch Business inherits web-trust primitives directly: domain owners verify their identity by inserting a short code snippet into their existing website backend, allowing the system to pass a cryptographic challenge and grant the agent an authenticity badge similar to a “blue check” for agent identities. Sheikh framed this as “reusing the trust layer the web already spent decades building.” Companies can begin claiming agents now at business.fetch.ai. Agentverse is an open directory of more yhan 2 million agents The final component of the release is Agentverse, an open directory and cloud platform that hosts agents and enables cross-ecosystem discoverability. Fetch states that millions of agents have already registered, spanning travel, retail, entertainment, food service, and enterprise categories. Agentverse provides metadata, capability descriptions, and routing logic that ASI:One uses to identify appropriate agents for specific tasks. It also supports secure communication and data exchange between agents. The company notes that the directory is platform-agnostic: agents built with any framework can join and interoperate. According to Sheikh, the lack of a discovery layer is one reason most AI agents see little or no usage. “Ninety percent of AI agents never get used because there’s no discovery layer,” he said. He framed the role of Agentverse in more technical terms: “Right now, if you build an agent, there’s no universal way for others to discover it. That’s what AgentVerse solves—it’s like DNS for agents.” He also described the system as an essential component of the emerging agent economy: “Fetch is building the Google of agents. Just like websites needed search, agents need discovery, trust, and interaction—Fetch provides all of that.” The interview further underscored that Agentverse is cloud-agnostic by design. Sheikh contrasted this with competing agent ecosystems tied to specific cloud providers, arguing that a universal registry is only viable if independent of proprietary cloud environments. He said the open architecture enables an LLM to query any agent “within one minute of deployment,” turning agent publication into a near-instantaneous process similar to registering a domain. Agentverse also integrates payment pathways, enabling agents to execute purchases using partners such as Visa, Skyfire, and supported stablecoins. Consumers can configure spending limits or require explicit approval for transactions. Industry context and implications Fetch’s launch comes at a time when consumer AI platforms are exploring the shift from static chat interfaces toward autonomous agents capable of completing actions. However, most agent systems remain limited by siloed architectures, limited interoperability, and weak verification standards. Fetch positions its infrastructure as a response to these limitations by providing a cross-platform coordination layer, identity system, and directory service. The company argues that an agent ecosystem requires consistent verification mechanisms to ensure that consumers interact with authentic brand representatives rather than imitations. By establishing namespace control and portable trust indicators, Fetch Business aims to fill a gap similar to early web domain verification. At the same time, ASI:One attempts to centralize user preference data in a way that enables more efficient personalization and multi-agent coordination. This approach differs from generalist LLM applications, which often lack persistent preference architectures or direct access to brand-controlled agents. The interview also made clear that micropayments and digital transaction infrastructure are central to Fetch’s long-term vision. Sheikh referenced integrations with protocols such as Coinbase’s 402 and AP2, positioning these capabilities as essential for autonomous agents to complete end-to-end tasks that include financial execution. Fetch’s combined release of ASI:One, Fetch Business, and Agentverse introduces an interconnected stack designed to support large-scale deployment and usage of AI agents. The company frames the system as foundational infrastructure for an agentic ecosystem, where consumer AIs can coordinate with verified brand agents to complete tasks reliably and securely. The additions to its identity, discovery, and orchestration layers reflect Fetch’s long-standing thesis — rooted partly in lessons from DeepMind’s early development — that intelligence becomes meaningful only when paired with the capacity to act.

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Microsoft is moving forward with its plans to turn Windows 11 into a full-fledged “AI” operating system amidst Copilot backlash

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Gloo Holdings Inc., a provider of software for faith-based organizations that is backed by Pat Gelsinger, plans to raise up to $109.2 million in an initial public offering....

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Instead of providing notice to customers and obtaining or verifying customer consent itself, Verizon "largely delegated those functions via contract," the court said

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Something went wrong, but don’t fret — let’s give it another shot. Some privacy related extensions may cause issues on x. Please disable them and try again

Intel warns investors to brace for losses and uncertainties.

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After finding the homeschooling life confining, the teen petitioned her way into a graduate class at Berkeley, where she ended up disproving a 40-year-old conjecture

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