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Etzioni on AI: An Opinionated Glossary of AI

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Jargon stinks.  What do the terms open weights, RAG, and agent mean exactly? Here’s a plain English, slightly snarky glossary of befuddling AI terminology with references for further reading.

AI is a broad name for the technology. Machine learning is the part where a system learns from data instead of following rules somebody wrote, a neural network is the structure that does the learning, and deep learning just means a neural network with a lot of layers.

Here’s the nitty-gritty: the terms that get used loosely, and the distinctions the loose usage hides.

1. Model, LLM, frontier model

ChatGPT is the app you open; an LLM, or large language model, is the AI running inside it.

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“Frontier” isn’t a technical category at all. It means the handful of biggest and most capable models at any given moment, so the trophy keeps changing hands.

Everyone says “LLM” and hardly anyone could define it on the spot. “Frontier model” is worse. It’s a ranking, announced by the people being ranked.

Further reading: How ChatGPT Works: A Non-Technical Primer (MIT Sloan). Rama Ramakrishnan walks through the predict-the-next-word mechanism everything else is built on.

2. Prompts, tokens, parameters

A prompt is the thought, question, or instructions you provide to the LLM (plus whatever the app added before it without telling you). The LLM takes the prompt and generates words, both in its internal “thinking” process and in the answer it shows you.  

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Tokens are (roughly) the words going in and coming out. The model chops your prompt into tokens, then produces more of them as it answers, and they’re what the industry charges by.

Parameters, also called weights, are the numbers inside the model. A frontier model has hundreds of billions of them and the biggest now run to trillions, and nobody can tell you what any single one does.

Parameter counts get quoted like horsepower. The number nobody advertises is how many tokens it takes to answer your question, and that’s the one that shows up on the bill.

Further reading: The only AI glossary you’ll need this year (TechCrunch, July 2026). Its entries on tokens and weights are the clearest short treatment of the building blocks.

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3. Pre-training, post-training, fine-tuning

Pre-training is feeding the model most of the internet, so it learns to predict the next word in a sentence. That’s the expensive part, and it produces something that knows a great deal but can’t follow an instruction.

Post-training is where people rank its answers and it learns to give more of what ranked well. Fine-tuning is post-training done by you, to somebody else’s model, on your data.

Pre-training costs hundreds of millions and gets you a model that won’t answer a question well. Post-training is what gets you the product.

Further reading: Illustrating Reinforcement Learning from Human Feedback (RLHF) (Hugging Face, 2022). The clearest walk-through of how ranking a model’s answers becomes a signal for training.

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4. Training from scratch vs. distillation

From scratch, you buy (or rent) the computers and do the work to build and train a model. Distillation trains a cheap model on an expensive model’s outputs, so it inherits the behavior without the bill. Distillation is against most AI companies’ terms of service.

OpenAI accused DeepSeek of distilling its models, which is a bold position for a company that trained on the whole internet without asking. Learning from other people’s work is fine right up until the other people are you.

Further reading: OpenAI accuses DeepSeek of “free-riding” on American R&D (Rest of World, February 2026). OpenAI’s memo to Congress, and an analyst’s reply that no model is an island.

5. Training vs. inference

Training is how you build a model. Inference is what happens every time it answers: the model runs and produces a result.

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Training is a one-time cost. Inference is a cost you’ll pay forever. Training runs for months and costs hundreds of millions; one inference, meaning one answer, costs a fraction of a cent, and it happens billions of times a day.

Training costs get announced. Inference costs get discovered. Only one of them shows up in a press release.

Further reading: Why AI’s next phase will likely demand more computational power, not less (Deloitte, 2025). Inference reaches about two-thirds of all AI compute in 2026, up from a third in 2023.

6. Open weights, open source, API-only

We typically use LLMs by accessing an app like ChatGPT, Claude, or Gemini. But experts often want the model itself, not just an app wrapped around it. Open weights means that an AI expert can download the model and run it on a server. You don’t get the data or the code that made it.

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Open source means data and software that experts can use and modify, which almost no major model offers (AI2’s Olmo is a rare exception).

API-only means you can’t have the model at all. You send your text to the company’s computers, the answer comes back, and you pay for every use, which is also what’s happening when you use ChatGPT or Claude through an ordinary account.

Open weights is how you claim the open-source mantle without giving much away. Open washing, basically.

Further reading: Open-Weight Models Aren’t Enough. We Need Truly Open Source AI Models for Science and Society. (Stanford HAI, August 2026). James Landay’s term for downloadable weights without the data or code is “open distribution.”

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7. Context window, memory, RAG

The context window is how much text the model can hold in mind at once, including your question and everything pasted into the conversation.

Memory is a feature that saves facts about you and slips them back into the context window later.

RAG, short for retrieval-augmented generation, searches a document collection and drops the relevant passages into the context window before the model answers.

Nothing in the model remembers you. The app keeps a file on you and pastes it in before every conversation, and that’s a less charming way to describe the same feature.

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Further reading: Glossary of Terms: Generative AI Basics (MIT Sloan Teaching & Learning Technologies). Defines context window and RAG in plain language, and is careful to put the model’s “memory” in quotation marks.

8. Chatbot, workflow, agent

A chatbot answers and stops. A workflow runs the steps you defined, in your order. An agent receives a goal instead of steps, and works out for itself what to do, calling out to other software and checking the results until it’s done or stuck.

Ask about a delayed flight and a chatbot quotes you the policy; a workflow uploads the refund form you built; an agent rebooks you.

Useful test: if it decides its own next step, it’s an agent. If you decided the steps, it’s a workflow.

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Further reading: Building effective agents (Anthropic, December 2024). The source of the distinction: workflows run predefined code paths, agents direct their own.

9. Hallucination, AI slop, AI cream

A hallucination is a confident falsehood, like a citation to a paper that doesn’t exist. The model isn’t lying; it has no notion of truth to violate. It’s producing text that looks like the right kind of answer.

AI slop is a different failure: accurate, fluent, and worthless. Think of the LinkedIn post that says nothing in 300 fluent words.

AI cream is the third case and the rare one: superb writing authored with the help of AI.

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Nobody sets out to make slop. Everyone believes they’re making cream.

Further reading:  2025 Word of the Year: Slop (Merriam-Webster, December 2025). The dictionary definition turns on quantity: low-quality content “produced usually in quantity” by AI.

Why language models hallucinate (OpenAI, September 2025). Argues that hallucinations persist because benchmarks score accuracy alone, so guessing beats admitting ignorance.

10. Alignment, guardrails, censorship

Alignment is the research problem of getting a model to do what people want when nobody’s watching. Guardrails are the rules behind its refusals: “no, I won’t tell you how to make a bio weapon.” Censorship is a guardrail that blocked something you wanted.

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The same refusal is “safety” in the press release, “guardrails” in the documentation, and “censorship” on X.

Further reading:  Model Spec (OpenAI, updated December 2025). A published rulebook for what one model will and won’t do, which makes refusals arguable rather than mysterious.

I snuck in one novel term that’s been sorely absent from the field.  Can you tell which one?

Further reading: other glossaries

Five general AI glossaries, listed roughly from most opinionated to most technical.

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The only AI glossary you’ll need this year (TechCrunch). About 30 entries, written for readers who follow the industry news. Strongest on distillation and compute.

Artificial intelligence glossary: 60+ terms to know (TechTarget). The broadest of the mainstream lists, and the only one that bothers to define model collapse.

Glossary of Terms: Generative AI Basics (MIT Sloan Teaching & Learning Technologies). Twenty-odd entries aimed at people who use the tools rather than build them.

Glossary of Terms for Artificial Intelligence (Columbia Business School). The shortest and plainest. Useful as a test of which terms are unavoidable.

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Machine Learning Glossary (Google for Developers). Hundreds of technical entries, and the only glossary here that defines “AI slop” a few lines away from several hundred pieces of real math.

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4 Two-Door Cars With Surprisingly Roomy Rear Seats

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Two-door cars aren’t known for their roomy interiors, especially compared to all the SUVs taking over United States roads. But not every two-door car is extremely cramped — some even have rear seats that can fit adults comfortably! And hey, at least they can fit four adults — some sports cars can barely fit one

While four-door cars will offer more room for passengers, many drivers opt for two-door coupes because they have a sportier look and performance to match — since they are lighter and have a shorter wheelbase, they offer better handling on average. There are some two-door cars that provide a fun driving experience without sacrificing backseat comfort and cargo room. 

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From straight line menaces to impressive handling, here are four two-door coupes that offer a surprising amount of room for backseat passengers despite their sportier appearance, making them just at home carpooling to work as they are on the track.

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2026 Dodge Charger

The 2026 Dodge Charger has 42.6 inches of rear legroom — four more inches than the previous generation — and 39.1 inches of rear headroom, making the backseat quite spacious. It’s not as roomy as the four-door Challenger, but Car and Driver said it’s comfortable, especially for one extra passenger. The Drive, however, felt that it was still cramped for someone six feet tall due to the raised floor in the 2026 model. 

It makes sense that the latest Dodge Charger would feel a bit larger inside. The 2026 Charger is an overall big car, at 206.6 inches long, 79.9 inches wide, and 4,921 pounds. Despite its imposing size, it can hit 60 miles per hour in 3.7 seconds thanks to its twin-turbocharged inline-six Hurricane engine. It may not be our favorite Dodge Charger ever made, but it’s surprisingly pragmatic thanks to its roomy cabin. Why, it’s practically a family car, assuming your family is under 6 ft. tall.

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2022 Hyundai Veloster N

The Hyundai Veloster N was discontinued in 2022, with Hyundai wanting to focus on the incoming Elantra N and Kona N models instead. However, many car enthusiasts still prefer the 2022 Veloster N for its impressive performance. Its turbocharged 2.0-liter four-cylinder made 275 horsepower and 260 lb-ft of torque, which allowed it to hit 60 mph in 5.1 seconds and finish a quarter mile run in 13.8 seconds, hitting 102 mph. Paired with a manual transmission, the Veloster N was fun and quick. 

You probably wouldn’t expect a small, sporty car like the 2022 Veloster N to have room in the back, but it does. There are 34.1 inches of rear legroom and 35.9 inches of headroom, so adults can definitely sit in the back seat, although it may get cramped for taller passengers. Our own review said the rear seats are “adult scale,” adding: “The seats are comfortable and supportive; the leather wrapped wheel is meaty; and there’s a simplicity here which — though it may come from the Veloster’s original no-frills positioning –- is welcome.”

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2026 Ford Mustang GT

The 2026 Ford Mustang GT is similar to the Dodge Charger in that it’s unapologetically large. It’s 189.4 inches long, 75.4 inches wide, and 3,579 pounds, making it one of the heaviest generations. For its size, the rear seats are not the most spacious. But for a performance-focused pony car, it’s not bad, with 29 inches of legroom and 34.8 inches of headroom. While it’s not the most spacious on the list, the comfortable, plush seating makes up for it. Our review noted: “The Mustang GT makes a solid case for being the sole ride in your garage. The seats are plenty comfortable, the sound system is good, and the trunk is far more roomy than you might ever have imagined.”

Taller passengers will forgive the legroom when they hear the Mustang start up, with The Redline calling the fire up “close to perfection.” The drive itself feels powerful and a bit like you’re taming a wild horse. It hits 60 mph in 3.7 seconds, and it has surprisingly impressive handling. Drag Mode may be the most fun, however, removing torque reduction during upshifts for maximum momentum in straight lines.

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2026 BMW 4 Series 430i Coupe

The 2026 BMW 4-Series 430i Coupe offers 34.5 inches of legroom and 35.2 inches of headroom for those in the rear seats, the most of any of its two-door options in 2026. Drive AU noted that the rear seats were comfortable, and it was easy to slide the front seat forward. Its cargo space is also worth mentioning, offering more room than other options in the same segment. Edmunds noted: “There’s good storage space inside, with plenty of cupholders and cubbies, plus side-panel cutouts and cupholders for rear passengers.” Passengers won’t feel cramped, especially with BMW’s luxurious touches. 

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Sure, it’s not as much room as the four-door options in BMW’s lineup, but the comfortable, refined interior makes it more forgiving. The performance is also a plus: the 430i has a turbocharged 2.0-liter engine that makes 255 hp and 295 lb-ft. of torque, in addition to excellent handling, responsive steering, and impressive braking. 

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Methodology

When it comes to adjectives like “roomy,” it can be a bit subjective. Even a tall person sitting in the front seat could completely change the space someone in the back has based on how far back their seat has to go. However, I took it to mean “these two-door cars can comfortably fit average-sized adults without their knees practically hitting their foreheads.” I wasn’t as focused on fitting baby seats or children since they generally need less room and are likely not the target passengers of a two-door coupe. 

Checking out vehicles’ official interior dimensions, I looked for vehicles that had actually functional back seats that friends wouldn’t dread squishing into. To narrow down the options, I wanted to choose a range of vehicles that offered a variety of driving experiences while having comfortable interiors. On top of a good amount of backseat room, I looked for two-door cars that offered smooth rides, plush seating, and other features that would keep passengers satisfied. I wanted to focus on vehicles available in 2026, but included one older model for used car options.

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In China, AI has reached dumpling shops where you also get to feed on compute tokens

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Imagine you visit a dumpling shop to indulge in a plate of piping-hot savory goodness. And as you queue up, you are given access to compute tokens for AI interactions and to an agentic system that recommends delicacies and helps visitors explore the menu in an interactive fashion. That’s exactly what a viral dumpling shop in China’s national capital is serving. 

The unexpected pairing of AI agents with dumplings is not surprising, at least for the Chinese market.  

It’s not just the corporate race, where companies are offering frontier AI models at a fraction of the cost compared to American products such as ChatGPT and Gemini. Earlier this year, as the OpenClaw frenzy gripped the internet, China was operating on a whole other level with AI agents. Even people in their 50s and 60s lined up outside booths to get the agentic system installed on their phones, and local administrations in China even started offering subsidies for OpenClaw projects. 

A dumpling restaurant in Beijing now gives you AI compute with your meal.

Finish your dumplings, report your table number at the counter, and claim free tokens for your AI agent.

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The card on every table reads: “You’re full. Now feed your agent some compute.”

This is Jingu… pic.twitter.com/HhavocDtUt

— Poe Zhao (@poezhao0605) August 5, 2026

Some AI tokens with my dumplings, please!

But as the saying goes, a technology can truly claim to have reached mass-market or universal adoption if it has reached the lowest strata of social interactions. In China, the mania is apparently reaching pretty close to the home (and belly) of the target audience. How about a dumpling shop?

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The outlet, which goes by the name Jinguyuan, was started by 41-year-old Li Bo, according to Rest of World. Interestingly, Li graduated with a degree in telecommunications engineering at the Beijing University of Posts and Telecommunications, but instead of finding a career anchored to his academic qualifications, he tried his hand at the food business. 

At his dumpling outlet, customers receive coupons for AI usage tokens worth $1.50, which they can use to interact with AI  models. Additionally, Li built an AI-coded website to track the queues at two other branches of his outlet.

Broadly, the rapid adoption of AI in China has been quite a spectacle. In June, the Chinese government killed over 12,000 university degrees and replaced them with new courses that focus on AI and robotics. Chinese AI companies are hiring talent straight from the high school pool, and the government is also pushing for AI education at all school levels. 

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An ultra-rare piece of Microsoft history could be hiding on your shelf

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OFFBEAT

Red Tetris stickers and shirtless Windows 95 tots – accidental collectibles gathering dust

In a future edition of The Antiques Roadshow, the hosts might get all excited about a mint Microsoft Entertainment Pack for Windows… with a sticker on the box instead of a printed Tetris promotion.

Veteran Microsoft engineer Raymond Chen explained the reasoning behind using the sticker instead of simply printing what was in the box. Microsoft hadn’t locked down the rights for Tetris before the first print run of the packaging, so went with what it had.

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The Microsoft Entertainment Pack for Windows debuted in 1990, the same year that Windows 3.0 was released and ushered in an era of Microsoft desktop dominance. Three more iterations of the entertainment pack followed, which included FreeCell, before Microsoft pulled the plug in 1992 (although a Best Of version arrived in 1994, and there was another version for Windows CE later in the 1990s).

We’ll draw a discreet veil over the ad-festooned version currently in the Microsoft Store.

The floppy disks in the box included several card games, Minesweeper, and a Windows version of the fiendishly addictive and massively popular game of the era, Tetris.

But it might not have gone that way. Chen explained in a post on his Old New Thing blog, “At the time the first run of boxes were being printed, the negotiations to license Tetris hadn’t yet concluded. There was a chance that the negotiations would fall through, and the Entertainment Pack would have to be released without Tetris.”

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So, rather than risk throwing away a production run, Microsoft went ahead with the Tetris-less branding, and added a sticker when the deal was done. Later print runs made the sticker part of the box art, hence the rarity of the original.

Microsoft has a bit of a history of inadvertently creating collectibles. Chen recalled an incident with Windows 95, when an anti-piracy hologram on the case depicted a child pointing at a computer monitor and the Windows 95 logo. The child was shirtless, which caused offense in some quarters. Microsoft’s solution? A new hologram with the baby in a shirt and overalls.

However, some original versions still exist. Chen said, “So if you still have your copy of Windows 95, go look at the hologram. If the baby in your hologram isn’t wearing a shirt, you have a genuine collector’s item.”

We can just imagine the excitement at the recording now, as someone produces not only a stickered version of the Microsoft Entertainment Pack for Windows, but also the topless baby version of Windows 95… ®

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Ukraine just launched a shocking system letting soldiers custom-order strike drones like ordering pizza during an active, brutal war

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  • Brave1 lets Ukrainian units order drones built to exact specifications
  • Military units have spent nearly one billion dollars through Brave1 Market
  • Buyers can adjust seventeen different drone specifications before placing an order

A new procurement system launched by Ukraine’s Brave1 defense cluster now allows Ukrainian military units to commission drones built to their own specifications.

The system operates through the existing Brave1 Market platform, where military units can request drones tailored to particular operational requirements.

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China is quietly building a data center empire in its poorest provinces to win the AI race

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  • China is moving its AI data centers into poor rural provinces
  • Guizhou offers cooler weather, cheap land, and abundant renewable power
  • New data centers must draw 80% of power from renewables

China is significantly expanding its data center capacity as artificial intelligence processing drives an unprecedented demand for computing power nationwide.

Much of this new infrastructure is being built away from the crowded eastern seaboard and placed in rural western provinces.

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AirPods will be the best smart glasses

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In this week’s Sunday Reboot, the AirPods Pro with cameras are probably the best alternative to smart glasses that Apple could’ve come up with.

Sunday Reboot is a weekly column covering some of the lighter stories within the Apple reality distortion field from the past seven days. All to get the next week underway with a good first step.

Confirmed and capable: AirPods Pro with cameras

There have been rumors about a new breed of AirPods Pro in development at Apple for quite some time. Personal audio devices that somehow dealt with visual elements, not just sound.

The rumors said that Apple was coming up with AirPods Pro with built-in cameras to capture images of the local environment. All to feed data into your iPhone‘s Visual Intelligence so you can ask queries about your local environment.

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This isn’t entirely out of pocket for Apple, really. We have got heart rate tracking in AirPods Pro 3, as well as some models of Beats earbuds too.

Adding extra sensors in earbuds wasn’t hard to believe. That they would be sophisticated enough to read the outside world and to transfer that data to your iPhone, was a tiny bit of a stretch.

While we knew through the rumor mill that they were being worked on in some capacity, we didn’t know just how far along the idea had progressed.

Cue a leak from Apple itself seemingly confirming they exist. A video in the macOS Tahoe 26.7 release candidate gave a demonstration of what the earwear could feasibly do.

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Admittedly, the ones shown looked like normal AirPods Pro, and could easily be used as placeholders in the video without revealing the real hardware. However, based on the angle, it could mean the sensor is positioned in the tip where the microphone is usually placed.

The video itself showed a person looking at a book, getting Siri to recognize the cover, and then to save it for later. We can probably expect a lot more potential capability from it, but it’s not a bad explanation that they have some form of imaging sensor onboard.

In the days that followed, more capabilities were raised, again from macOS. It was able to capture left and right-paired images, namely images from each AirPods Pro camera, and combine them into images seen by Visual Intelligence.

The stereoscopic view could give Visual Intelligence data about distance, which may give Apple’s AI more of an idea of where things are in the world, relatively speaking.

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They would also be able to compensate for head movements and have passive and active modes. Impressively, the AirPods may even be able to process some of the data onboard instead of letting the iPhone handle it.

Capable, but not too privacy-breaking

There’s the obvious issue of privacy, as we have seen with practically all other smart glasses that have ever been created. Cameras on an item that seemingly hides them could lead to weird perverted behavior.

I’m not going to sugarcoat it, but the AirPods Pro with cameras will get the same sort of outrage over everyone’s sacred right to privacy. To be fair, it’s a justifiable outcry, but one that probably won’t be as much of a problem for Apple.

For a start, the paired images will just be up to 1 megapixel in size, versus 12MP photos and 3D video on the Meta Ray-Ban glasses.

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Smiling person with long dark hair and large black glasses looking slightly upward, softly lit in a close-up portrait with blurred lights in the background

Someone actually wearing Meta Ray-Bans – Image Credit: Meta

That’s an absolutely tiny resolution in this day and age. With a lack of a proper zoom function, that makes it extremely limited for spying purposes.

There’s also Apple itself, which does what it can to protect privacy as much as possible. It would be a really bad look for Apple to ruin the years of work on one badly thought-out product.

Realistically, you have little to fear of them being seriously used for privacy-breaking reasons.

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These are incredibly capable earbuds. In my book, they’re probably going to be the most capable AI-centric product on Apple’s future wearables roster.

You just shouldn’t expect much of a privacy scandal from them.

Glasses-free smart glasses

Apple’s current wearables landscape is pretty much not futuristic at all. We have the Dick Tracy-style Apple Watch, we have the ability to talk to Siri with AirPods, and then we have the bulky headset that is the Apple Vision Pro.

When it comes to the future, we have a few options. There’s the weird pendant or brooch, Apple Glass, and now AirPods Pro with cameras.

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Apple Glass was meant to be the product that would combat Meta’s smart glasses and usher in the personal AI revolution. To me, a committed wearer of spectacles, the AirPods Pro are the safer bet.

For a start, AirPods Pro with cameras are the same conceptually as smart glasses, except without the glasses bit. If you think about the Ray-Ban Meta smart glasses, they are basically a camera on each side, a microphone, and speakers for the wearer’s ears.

That seems a lot like AirPods Pro with cameras, conceptually. Of course, smart glasses with display elements are a different breed, but for the cheaper consumer-focused smart glasses, there is more of a direct comparison.

As a glasses wearer, that means I could have all of the benefits of wearing smart glasses with the future AirPods, but without needing to replace my frames.

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It sounds like I’m being picky, but there are a few good reasons for it.

Beige smart sunglasses with dark lenses and small cameras in the corners, resting in an open tan leather case against a plain light background

The thick frames of the Ray-Ban Meta range hide the electronics. It’s just not thin enough for me. Image Credit: Meta

For a start, I really don’t like the thick frames of the current Ray-Ban Meta collection. I like my thin frames, and most smart glasses on the market simply cannot match that styling.

The second and more practical reason is that if I don’t want the “smart” element anymore, I don’t have to change glasses. I just have to take out the AirPods from my ears, put them in the charging case, and put them away.

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If I had prescription lenses in smart glasses, and someone was really insisting that the spying cameras on them had to go away, I’d have a problem. Either I’d have to change to a second pair of “dumb” glasses, or go glasses-free and see the world in soft focus for a bit.

I like having my vision, and I don’t like having to carry a second pair of glasses around with me. Especially if the smart ones have thick frames that barely hide the tech.

If I suddenly had a pile of free cash and an itch to buy some smart glasses, the AirPods Pro’s camera evolution would be the route I would take.

Sure, they’re not smart glasses. But for my glasses-wearing face, they are the much better answer.

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Last week’s Sunday Reboot talked about Apple’s lawsuit with Epic Games, requests for delays, and Epic Games complaining about EU fee changes.

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Uber faces fine of nearly $1B over automated driver suspensions

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The Dutch Data Protection Authority is fining Uber €825 million (around $966 million) — the second largest penalty issued so far under Europe’s General Data Protection Regulation, according to Reuters.

The Dutch regulator was investigating complaints that Uber had deactivated driver accounts through an automated process without sufficient warning or human oversight. In a statement, deputy chair Monique Verdier said that the company had “committed serious infringements.”

“A computer should not make decisions on its own that have [such] major consequences,” Verdier said.

Uber, however, argued that most driver suspensions are brief, that no permanent deactivations take place without human review, and that drivers have the ability to appeal. (Dutch regulators said some drivers were permanently deactivated without human review, which Uber disputes.) The company said it will appeal the decision.

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“We strongly disagree with this decision ​and disproportionate fine,” an Uber spokesperson told Reuters. TechCrunch has reached out to the company for additional comment.

Brahim Ben Ali, a former Uber driver in France, told the Dutch newspaper de Volkskrant that after his account was deactivated in 2019, he collected testimonies from 170 other Uber drivers and eventually brought his complaint to the Netherlands, where Uber’s European headquarters are located.

Ben Ali was assisted in this effort by a Swiss nonprofit focused on digital rights called PersonalData.io, which helped the drivers collect data about how the deactivation decisions were made. Founder Paul-Olivier Dehaye said a driver “can complete a thousand journeys with satisfied passengers, but if just one person reports a very serious problem, the consequences can be enormous.”

Dehaye told me that this is the third fine that the Dutch regulator has levied on Uber, following a €290 million fine over its handling of drivers’ personal data and a €10 million fine stemming from related issues. He also said he plans to start a class action suit through which drivers can seek compensation.

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In fact, Dehaye said these fines all originate with complaints made by the same group of drivers. And he’s starting a new company called StartClaims to support the litigation and other regulatory action — first against Uber and then eventually expanding to other gig economy cases, as well as related areas like adtech.

While discussing the case with Dehaye (who I’ve known casually since college), I brought up a blog post by Daring Fireball’s John Gruber, in which Gruber worried that this fine makes it “unlawful in the EU for Uber to monitor its drivers for pulling scams against customers, or just never picking riders up, leaving them stranded.”

Gruber also took issue with Verdier’s statement, arguing, “Saying that ‘a computer’ made these decisions is like saying that when a company suspends or fires a habitually late employee, that ‘the time clock’ made the decision. Managers at the company set the policies, and the devices measure employee compliance.”

Dehaye countered that Gruber “misses the point.”

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“Uber is free to use humans to punish drivers who scam, but then [it] has to take responsibility for this decision making (like ‘being an employer’, not ‘being a marketplace’),” he said.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

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What should we expect from the Sonos Ace Ultra?

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Sonos is launching a new pair of headphones soon, if online reports are accurate. When I heard these reports, I imagined they might be a true wireless considering rumours for that form factor have back years, but it looks like Sonos will announce a new pair of over-ears.

So what should we expect from them?

I think ‘expectations’ is an aspect that might dominate the conversation surrounding the Ace Ultra. I think hype and expectations ultimately led to the original Ace not having the impact Sonos imagined.

Even though I see the headphones on people’s heads every so often (in fact, I saw someone wearing a black version on the way to work); I suspect Sonos imagined that everyone who had a Sonos system in their home would sign up for a pair of Ace headphones as an extension of their system in the same the outdoor speakers such as the Move, Roam and Play have tried to do. But it didn’t quite work, and expectations played a part in that.

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So how should we view these upcoming headphones? Has Sonos learnt from its previous mistakes and what areas should they have looked at in terms of improvements?

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A new model or a replacement?

Sonos Ace on top of caseSonos Ace on top of case
Image Credit (Trusted Reviews)

What we don’t know is what they’re called. The Ace Ultra designation appears to be just a rumour for now, and it appears we’ll find out in some official capacity in September.

A question I’d ask is whether the headphones are an expansion of Sonos’ headphones range, or a replacement for the Sonos Ace? You may ask whether there’s any difference, and I would say there is.

An expansion would position Sonos as looking to build its headphone line-up, introducing tiers in a similar way that Sony, Bose and JBL have headphones that appeal to different people at different prices. A replacement implies a do-over, that essentially we’re back to square and these headphones would be the answer to criticisms people had of the first one.

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I’m inclined to think it’s the latter.

I think Sonos wants one pair of headphones in a bid for simplicity, a one-suits-all proposition at a premium price in a similar manner as Apple has done with its AirPods Max headphones. Has it ordered a massive redesign of the headphones? I suspect not, because there’s plenty that worked about the Ace (comfort especially) but there were areas where Sonos fell short of the competition. I’m thinking these headphones will be an ‘enhanced’ version, a 2.0 that shores up the issues people had.

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But we’ll find out for sure in September.

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Improvements needed for audio and noise-cancelling

The audio and noise-cancelling aspects of the Ace were fine – but in both regards the Ace were solid rather than exceptional. You can’t be in the same conversation as the likes of Sony and Bose by just being solid.

And in the two years since the launch of the Ace, rivals have only gotten stronger. Sony’s WH-1000XM6 are arguably the leader in the market. Bose has improved, and so has Sennheiser with the Momentum 5 Wireless, which sound fantastic. No one is resting on their laurels.

Considering Sonos’ inexperience in the headphones market, it will have had to accrue knowledge at a much faster rate than others, but it released its first pair of headphones, it got feedback from it, and like any feedback loop, that funnels resources into making the next pair better.

Here’s hoping that the noise-cancelling, which was already strong, has improved further; but more than that the sound this time around needs to have more character to it. Sonos aimed for a neutral presentation, which I found enjoyable but it had its limits. It was as detailed as other pairs, nor was it as dynamic as other pairs. When you don’t sound as good, or cancel noise as well as other pairs who are less expensive, that’s never a good sign. People will only pay a premium for quality. Sonos can’t be ‘as good’, in some ways it needs to be better.

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They need to lean into Sonos’ strengths better

Sonos Ace in carry caseSonos Ace in carry case

For years, Wi-Fi has been seen as some sort of holy grail for headphones; though despite the potential that offers, Bluetooth still dominates.

We’ve seen AKG deliver a pair of very good headphones that have a Wi-Fi dongle. This site has published reviews of Wi-Fi headphones in the HED Unity (average) and the Wi-Fi models from Hifiman (better). When the original Ace launched, we all thought it would have some Wi-Fi connectivity, which it did through the excellent TV Audio Swap, but it also didn’t feel like it realised the potential of Wi-Fi because it was only available in this form.

By the sounds of it, the new pair could connect directly to a Wi-Fi network, like any other Sonos product, and open up the possibility of lossless audio. Of course, there’s a limitation in that you wouldn’t be able to benefit from this in outside environments – partly why Wi-Fi headphones don’t seem to have taken off – and connecting directly to the Wi-Fi would lock the headphones into the home network anyway.

But if Sonos can sort out the presentation of audio (and throw in USB-C audio while they’re at it too), and open up the bit-rate, then that’s at least something that’s different from most of the competition. That differentiation is arguably what Sonos needs the most.

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Razer Soma Chroma review: the bring-your-own-battery gaming chair

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We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test.

Razer Soma Chroma: One-minute review

I’ve reviewed a lot of gaming chairs, sat my butt on plenty of seats promising the best of the best comfort, or ergonomic longevity (I’m convinced noblechairs wants my posture to last me until I’m 126 years old), and I’ve got to say, aside from possibly the AndaSeat Novis, this might be the most comfortable chair I’ve ever sat in.

At least, part of it is. The seat base. The fabric, the material, lovely; the base width, great. The backrest? Right up my street. But the Soma is a bit of an odd one when it comes to everything else it’s trying to do. And an even bigger issue is its launch day price tag.

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Researchers Seem to Have Figured Out Why It’s Harder to Poop in Space

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Most people experience constipation at some point in their lives. For astronauts, it’s a common occurrence. The problem is that no one knew exactly why. Now, science seems to have figured out the No. 1 reason why astronauts have problems going No. 2 in space.

Research dating back nearly three decades has explored the effects of low- or zero-gravity environments on human digestion. A new study published in Nature by researchers at the University of Copenhagen working in tandem with NASA suggests that because astronauts spend so much time in microgravity, this state of near weightlessness causes food to move more slowly through the gut.

To carry out the study, researchers took samples from 52 astronauts who had spent months aboard the International Space Station. They found that time in space significantly affected their gut microbiomes, likely leading to constipation and other gastrointestinal problems. 

Here’s how it works. The gut microbiome generally breaks down carbohydrates and fiber first as its main energy source. Without gravity, however, food moves much more slowly through an astronaut’s digestive tract. This delay causes gut microbes to finish all available carbohydrates early and switch to fermenting protein for energy instead. This protein fermentation releases specific compounds into the bloodstream — that’s what allowed researchers to prove that a lack of gut-accessible carbs leads to slower bowel movements.

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“We see changes in astronauts’ blood samples that indicate that the gut bacteria begin to ferment protein to a greater extent than usual within weeks after the astronauts arrive in space, and this change continues until they are back on Earth,” Giorgia La Barbera, one of the authors of the study and an associate professor in the Department of Nutrition, Exercise and Sports at the University of Copenhagen, said in a statement.

A solution to the digestion traffic jam

Space toilets are high-tech gadgets that cost tens of millions of dollars, and NASA wants astronauts to use them more often.NASA

While astronauts may be reaching for the stars, their digestive systems are firmly grounded in the laws of gravity.

Researchers say that a potential solution for off-planet travel is a diet richer in “slow-fermented carbohydrates.” These carbs take longer for the body to process, giving astronauts’ gut biomes something to chew on, figuratively and literally, as the material moves through the intestines. 

”Eating whole foods, rich in dietary fiber, such as vegetables, lentils and nuts, would be important to keep the gut motility up to speed and to provide additional substrates for the bacteria during space missions,” Henrik Roager, study co-author and associate professor at the University of Copenhagen, said in an email. “This way, the gut microbes would be kept busy fermenting dietary fiber instead of protein.”

Roager also says that “supplementation with prebiotics” and other treatments may also help decrease gut transit time, thereby helping astronauts avoid constipation. 

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If the prescription sounds familiar, that’s because it’s also the recommended course of action for avoiding constipation here on Earth. Doctors regularly tell patients to drink more water and eat more fiber. Diets low in fiber cause stool to move more slowly in one’s digestive tract, even with gravity assistance. 

Since these results are linked to both terrestrial and space life, the study’s findings may be helpful in other areas as well, such as with bedridden patients suffering from chronic disease who also experience constipation, Lars Ove Dragsted, another author of the study, said in a statement.

Houston, we have a bowel movement

An image of Mars taken by NASA's Psyche spacecraft.
A journey to Mars would take roughly seven to nine months. That’s a long time to be constipated.NASA/JPL-Caltech/ASU

Issues like constipation may seem mild in the grand scheme of things, but they’re among the many that NASA and other space agencies need to solve before sending astronauts on much longer voyages — like when humans eventually go to Mars. 

The problem is twofold. It’s no secret that constipation is a major pain in the butt. Irregularity leads to bloating, pain, cramping, and in some cases, hemorrhoids and other short-term symptoms, which astronauts already deal with on the ISS during their months-long stays.

But there are long-term consequences to worry about as well. Potential long-term issues include heart disease, chronic kidney disease and other health effects like an increased risk of colorectal cancer and possibly also inflammatory bowel disease. A mission to Mars without a solution to constipation would put astronauts at risk of developing these additional complications.

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“Whether constipation is also linked to mental health is not clear, but some of the molecules that we found to be increased among astronauts during space missions have been linked to increased anxiety and stress in animal models, so that is another potential concern,” Roager said.

NASA seems amenable to making dietary changes. “We are always looking at diet and health, working to use nutrition as a means to mitigate negative effects of spaceflight on crew health and performance,” said Scott M. Smith, manager for nutritional biochemistry at NASA. “The findings in this recent paper are intriguing, and we will continue to look at this and make recommendations where appropriate.”

It’s all a reminder that gravity keeps our bodies moving in the right direction.

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