> On that note, one way we can prevent it is to assert that all our content is byte-for-byte identical with the last known trusted stage of what we have produced
That doesn't help with things like the typical use of SynthID where the spymarking is done by the same process generating the content, so there is never a clean comparator. (It also wouldn't be useful anytime it is inplemented as part of a transformation—compression, etc. —step, for the same reason.)
First the low-end laptops and phones (and probably later, most of them) will incorporate some low-level driver that is constantly scanning for these and passing them to a helper app to phone home. I assume this is something Apple will, to their credit, refuse to do[1] but I don't think other OEMs will have any qualms based on what they already do with their TVs.
[1] (though they don't do this kind of thing out of altruism, but because their cash cow is app store rents and fat hardware margins, not third-party advertising.)
- For general chat and web search, occasional image editing, small coding work, document review etc. ChatGPT Plus is basically limitless and “just works” since 5.6. I’ve yet to give it some task it cannot do.
- When given sensible instructions, it hardly annoys with weird phrasing, glazing, or annoying constructs.
- The apps are very good (ignoring the initially terrible Codex app)
It’s easily my best spent $23 a month.
Cached Read: ~6,500M
Input: ~150M
Output: ~20M
Approx $40 worth of usage across DeepSeek V4 Flash + MuseSpark Contributor 1.3. And a bit of both the GLM models. This is covered in a $10 subscription.
If I were to use Luna's API pricing:
$0.02 x 6,500 = $130
$0.20 x 150 = $30
$1.20 x 20 = $24
So $184. And this is assuming smaller coding sessions (<272K) beyond which Luna pricing doubles.
--
Cost wise, these models are nice for small stuff. Translations etc. Any model that does not provide multiple Mtoks of cached reads per cent is not very useful to me for coding workflows.
I dont know how they make money here
Snark aside, Luna 5.6 was (is) an incredible game-changer.
Here's GPT-6 Luna pelicans: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...
And GPT-6 Sol: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...
Scroll to the bottom for the GPT-6 Sol max one: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...
For comparison, here are the pelicans I got for GPT-6 Astra: https://tools.simonwillison.net/markdown-svg-renderer?url=ht... - I still like the Astra Max one best.
Here's a comparison grid showing all of the GPT-6 and GPT-5.6 pelicans at all effort levels: https://static.simonwillison.net/static/2026/gpt-6-and-5.6.h...
The grid is actually really interesting, because it shows that the 5.6 family default to brighter colors than the 6 family.
I actually preferred 5.6-Terra not because it is technically superior (it isn't) but because it had better instincts to NOT do this stuff.
PS - Speaking of better instincts, have they closed the UI-design gap at all? I keep a Claude subscription just because /design produces significantly higher quality UI design/UI feedback/UI refinement than anything I've seen from OpenAI.
1/ Usage limits: downstream of input/output cost, but resets and obscure windows and odd 20x plan / 5x plan != 4x usage math throw a wrench into it. Winner right now is Codex by a mile, especially when you factor in the fact that ChatGPT usage (even 6 Astra Pro) is essentially unmetered on the 20x plan. Always a bummer when asking if I should see a doctor about a rash means I can't code as much. It's also is a godsend if you use an MCP like oracle to automate the process of calling the Pro model on particularly tough problems, giving better planning results or deeper code analysis without burning usage.
2/ Context window in the harness. Claude Code wins on this. There used to be a toml file workaround for Codex to extend the GPT context window to 1m, but this stopped working on the plans and only on per-token billing (ETA: noname120 pointed out this is no longer the case and it can be enabled again [1]). 252k is just not enough. Codex's compaction is very good, fwiw, but it happens so frequently that even a model as powerful as Astra sometimes loses the plot on long-running tasks.
3/ Ability to use the plan outside of the official harness. Codex wins. Anthropic does shit like bills requests as extra usage if it sees a hermes.md in a commit.
I've subscription hopped a bunch, and at times I've had both, but I keep coming back to Codex because it wins on 2/3.
ETA: apparently I haven't been Keeping Up With the Altmans and new 20x signups have been disabled for a few weeks. I am grandfathered in, which makes the comparison above pretty much moot.
Goodbye Hacker News--it has been a good run.
Prices per 1M tokens Claude Opus 5.5 Claude Opus 5
Cache reads $0.20 $0.50
Input tokens $4 $5
Output tokens $20 $25
Cache writes $5 $6.25
Input
Output
Price reduction
GPT‑6 Sol vs. GPT‑5.6 Sol
$4 → $2
$20 → $10
50% cheaper
GPT‑6 Luna vs. GPT‑5.6 Luna
$0.20 → $0.10
$1.20 → $0.50
50% cheaper
However you sourced your target is irrelevant to the activity at hand. When I first heard of this news I knew immediately someone skipped target verification or that it was simply no longer a policy of the DOD.
> The Pentagon chief last year slashed offices that didn’t contribute to his goal of “lethality,” including the group that assists in limiting risk to civilians, known as the Civilian Protection Center of Excellence. Around 200 employees who worked on the issue, including at that office, have been reduced by about 90 percent, according to two current and former officials and a person familiar with the effort. The team that handles civilian casualties at Central Command, which oversees the Middle East, has dropped from 10 to one.
Negligent homicide in pursuit of their DEI goals, basically.
This is what happens when people who don't understand AI and its limitations embrace it wholeheartedly, thinking it's going to behave like The ultimate analyst. Except it's not. Its got blind spots in more places than anyone knows. And not to mention the system itself has multiple areas of failure.
Reading the details, "AI" doesn't really seem like the culprit -it's a scapegoat.
The intelligence that it was no longer a military target never entered the target database, the team that was responsible for vetting the target list was gutted, and said team was never even consulted.
The White House wanted 1000 targets and pulled from their database without any due diligence. Whether it was an AI call or an SQL query - this was from pure human maliciousness and incompetence.
I cannot believe this has come to pass.
Absolutely people were extremely dismissive to anyone saying that we're losing the ability to make things in this country!
There were all these theories like Comparative Advantage that people would trot out to point out that, if you don't like outsourcing, not only are you ignorant and backwards you're also probably racist.
One interesting comparison is to the history of manufacturing. West/America decided one day that manufacturing would be cheaper to outsource and better (short term) profit was to be made by outsourcing it all to China. The institutional expertise started to deteriorate, to the point that America simply didn't even have the capacity, or expertise anymore to produce stuff (such as grill brush [1])
I feel like you could take all the handwavy comment that are made today to dismiss this caution, and find equal dismissal back then when companies were actively outsourcing the manufacturing.
"I'm coding 10x faster" "look at the output velocity per employee"
"we are producing much more (in China)" "look at profit / number of (manufacturing) employers"
Seems ok if you're American / Chinese but I'm struggling to understand how the rest can be OK with allowing institutional knowledge to deteriorate while having an active dependency to the former two. We already see this with the tech dependency towards USA and manufacturing competition from China.
I'm going to make my own prediction: this isn't going to happen
From what I see is it's mainly managers and higher brass who doesn't care about code quality and sustainability, and aims to drive time to market metrics down aggressively with AI.
Any employee who cares about code quality will become a poor performer with a red luddite label because they dare to change what the AI has emitted for them.
I'd love to be wrong, very wrong about this, actually.
"Code maintainability and good architecture don’t have good measurements that we can apply"
Who has no wisdom? There are dozens of ways to measure code maintainability. Cyclomatic complexity is just one.
Nothing stops you from wiring up something like SonarQube metrics to your agentic coding workflow.
I’ve been dabbling in Linux since the early 2000s with Yellow Dog, SUSE, and Ubuntu, tried making it my daily driver in the early-mid 2010s, and for the past 5 or so years have been using it in a secondary/tertiary role.
Recently I’ve been trying to move my gaming box from Windows to Fedora (which I’ve found mostly makes the right tradeoffs to suit my preferences). I’ve gotten things to mostly work, including games that have been blockers in the past, but just yesterday my ethernet connection listing disappeared and broke network connectivity. No big deal I thought, just go into settings and add it back, but as it turns out the KDE settings UI for NetworkManager is horrifically flaky and most critically, its add interface wizard doesn’t set correct settings for a successful connection. No, you have to drop down and use nmcli afterwards to fix things because the UI also doesn’t surface the right checkbox. I wouldn’t have even figured that out if it hadn’t been for a chatbot’s assistance.
This is the exact sort of time-burning nonsense that isn’t a problem on either of the commercial platforms that I tend to encounter under Linux. Is this single instance going to push me to reboot that box back into Windows? No, but if issues like that keep cropping up eventually one will become the straw that breaks the camel’s back. Desire to avoid continued frustration will win over the logical portion of most peoples’ brains.
That's defined as "the device has become a brick, cannot be recovered". It was mostly popularized by broken firmware updates which effectively destroyed the device, as it could no longer be salvaged.
You calling a borked package install in userspace almost bricked is telling about your technical capability.
And I agree that people that are basically technologically illiterate should not use Linux.
They could if someone administers it for them, but if nobody can help them - it's just not the right choice.
It's placed right next to a similar report for the user to see which apps generally connect to the internet and to which domains.
Basically, the main point of the article, "I discovered that macOS 15.3 had enabled a feature that was phoning home every 15 minutes with personal data" is not true.
Some people understand the concept of trade-offs but don’t understand how other people don’t want the same trade-offs as they do
If you're not willing to stop using harmful software that's your problem.
And let's not forget that cheating in online games is only an issue because companies have co-opted what was a social activity between people you know (or at least can get to know) into a more profitable asocial e-peen measuring contest between randoms.
Yes, there is a whole moral discussion to be had, but as much as you win points for doing the better thing, the better things don't really pay bills.
The good news though is that we definitely won the server war. We can spin up VMs and install Linux without licences. We have access to software that works well, security updates, frequent releases, a massive ecosystem of free software, no advertising, very little to no licensing for software, and it works incredibly well. So much so, that we can't even imagine a world in which servers require licence keys or subscriptions or a marketplace account.
Imagine now, if laptops & workstations were as solved as servers are.
That's why we aren't there yet, because they're not.
But don't fool yourself. You're subverted to Apple's rules the same as Microsoft users are to Windows.
I prefer to fight a little bit on an update on a unix system on something that is not working 100% to give up choices. When you use Windows, MacOS, Android you do not have choices. Choices are dictated from above, like it or not.
As for me every time I have to interact with something that is not BSD or Linux I suffer miserably.
Build quality (aluminum), charging (magsafe), screen resolution, battery life, noise (or lack thereof), trackpad…
It’s like other vendors aren’t even trying.
Also the OS mostly “just works”, just last week my Linux laptop disabled NVIDIA GPU (and almost bricked itself?? Not sure, had to fix apt) during automated updates
It's always "maybe later" and never "no seriously, I don't want this, go away"
I work in secure systems and it’s shocking how many people believe this - the incentives from management are all about it too.
Of course there is. For example, SeL4’s security and reliability proofs still hold in the world of LLMs. The problem is that most software isn’t written on that firm foundation. Instead, most software is made by people with the philosophy of “if it looks like it works, ship it”. You don’t get secure software by working like that, because security vulnerabilities aren’t visible.
We - humans - know how to write secure software. Just like we know how to make safe aeroplanes. The problem isn’t that we lack the capability to make secure computers. The problem is we don’t have a culture of security. Secure software is - somehow - niche. And as such, it’s much more expensive. And nobody wants to pay.
For example, do not hook your goddamn water or traffic or electricity infrastructure up to the goddamn Internet, and then, do fire the guy who suggested it.
The correct analogy for computer security is not locks and keys and doors and gates. It is a house in a floodplain. Your house will not survive the flood of it hits you. Do not store anything critical or irreplaceable in that house.
In the pilot, the Galactica was literally being turned into a museum, and that's why they lived.
China hacked 22.1 million records of US government employees:
https://en.wikipedia.org/wiki/2015_Office_of_Personnel_Manag...
Perhaps firing expertise and hiring incompetents wasn't a good idea.
I know there's been discussion about whether pelicanmaxxing is happening, but this is at least evidence that Claude was explicitly exposed to this problem.
I've failed twice to get "Generate an SVG of a pelican riding a bicycle" to work with max, because in both cases it ran out of the 128,000 token budget while it was still reasoning about the problem.
I'm suspicious that "max" may be virtually useless if it's that easy to have it overthink to the point that it doesn't get to a response.
Transcript for one attempt here - expand the "Reasoning trace" bit to see it: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...
I'm good with DeepSeek v4.1 set to high. It is a relentlessly "hardworking" dirt cheap model.
Told it to convert a products page (that had two different fonts based on language) from two columns layout to 5 columns on desktop and 2 columns on mobile ensuring typography is readable.
My man went into spawning sub agent which failed to drive chrome so it wrote its own chrome driver protocol server in Typescript then generated a prototype website then downloaded the images and rendered each variation in a directory taking 100+ screenshots analyzing the typography depth and then delivering detailed report and then writing the whole thing with new page layout testing it again with several dozen screenshots using its driver and then saying all good and all really was good and whole thing took 25 minutes or so (including double visual validation) because it generates token at an incredible speed.
Total cost of the above? $0.07 cents.
PS: It generates token at such a blazing fast speed that you can't recognize the words as they are being added and can't read it without scrolling and pausing even if you're Jimmy Carter.
"Ah, yes. This is a classic dog-breed-to-appliance-failure mapping problem."
ChatGPT 6 Pro answered it without issue.
Isn't this basically the model admitting it was trained on this? Otherwise why would it think a pelican svg is a usual request?
All four levels have a correctly shaped bicycle frame. The differences between the pelicans aren't huge, but the xhigh one has a better beak.
I haven't managed to get one for level "max" yet, it hit the limit of 128,000 cap for output tokens while it was still reasoning about the question!
Max started its thinking trace like this:
> This is a classic test request, so I want to plan out a well-composed pelican with its distinctive beak and pouch riding a bicycle with proper wheels, frame, and pedals, set against a simple sky and ground backdrop.
So that failed attempt on max cost me $2.56.
I ran this using my llm-anthropic plugin:
uv tool install llm
llm install llm-anthropic --upgrade
llm keys set anthropic
# paste key here
llm -m claude-opus-5.5 -o thinking_effort low "Generate an SVG of a pelican riding a bicycle"
# Then to save the markdown logs
llm logs -cu > logs-with-usage.mdThe user is right. The outage is a real concern, and the issue is worse than we realized. Requests to Claude Mythos 5.1, Claude Fable 5.1, and Claude Opus 5 encountered elevated error rates. Worth stating plainly: these are not just models — they are load bearing rungs on the software development tooling ladder, and a blocker on this level makes the outage really bite.
One decision that is yours to make, not mine: should an email be drafted to Anthropic support? This issue has teeth, and a canonical handoff can land us where the main gate is no longer breaking silently.
I think this is what I'm most interested in. I mostly moved to Astra because I just can't work all day with the Claude Opus 5/Fable writing style. I don't think Astra is a better model, but it's the first OpenAI one that seemed good enough to me. Definitely keen to try Opus 5.5 and see if this claim is real.
I'm on the fence about calling out AI-isms but I think it's definitely worthwhile to call out ones that actually don't make sense.
Edit: In response to the initial replies. To me it clearly means "releasing frontier models at any pace less than as fast as possible". It implies relative restraint compared to the previous state and without stating the degree of restraint.
Nice. I was starting to think that Haiku got abandoned.
Interesting how the very first line is used to remind the reader of their call to pace the frontier just last week, and everything else after that line is to demonstrate with very specific numbers how they absolutely are not pacing.
I could see them accomplishing it and seeing gains like this in roughly the correct timeframe, and when I heard about that development I assumed the frontiers would probably jump on it.
How it works: https://miraflow.ai/blog/deepseek-v4-1-flash-causal-encoder-...
Ah, they're spreading their limits to all their models it seems. Definitely not a good thing long term in my opinion.
Prices per 1M tokens Claude Opus 5.5 Claude Opus 5
Cache reads $0.20 $0.50
Input tokens $4 $5
Output tokens $20 $25
Cache writes $5 $6.25
If you are forced to reduce price despite raising capabilities, that certainly tells something about the market, and potentially about Anthropic future profitability too, since this model is their biggest topline contributor
God I hope so
> Input and output tokens are $4 and $20 per million, 20% less than Opus 5. Cache reads (which make up the majority of agentic and coding work costs) are $0.20 per million tokens, 60% less than Opus 5. Opus 5.5 also generates output more than 30% faster than Opus 5.
Better than Fable, cheaper than even the last Opus. I use Opus as my main driver so this is very exciting!
Always carry a deck of cards when hiking in the wilderness. If you become lost deal a game of solitaire. In a few minutes someone will come up and start suggesting moves.
Write a new prompt, evaluate, it now succeeds 99% of the time. Measure what changes between prompt #1 and prompt #2, understand what contributed to the performance jump.
Write a third prompt, this one succeeds 100% of the time. Increase the size of your evaluation set, find a 1/5000 error-class and a 1/10000 error-class, add some explicit code to correct for this cases.
Roll out to production, collecting usage metrics. You make some tweaks to your harness, your prompts. Eventually you have confidence that your system has fewer mistakes than 1 in 100k.
Now, multiply this iteration across all your different prompts and different ways that they might interact with one another.
This the state of software engineering in 2026.
Edit: clarified engineering to software engineering, which is more correct
Inside were internal docs, integration code, the Spaces app framework, memory records, container startup scripts, and documentation for an experimental ESP32-based home network bridge called Home Link. Codex CLI was also installed, though I found no evidence that Muse invokes it.
I didn’t demonstrate a sandbox escape or access to another user’s data. I reported the export to Meta’s bug bounty program, which marked it “Not Applicable.”
The post walks through the findings with screenshots.
-Pete
I guess it depends on what you're used to? The last time I tried using GNOME, I found it very unintuitive. I ran into stuff like:
- Why don't windows have maximize and minimize buttons?
- Why do I have to go to a separate screen to un-minimize a window?
- Why does launching software require going through the GNOME equivalent of the Windows 8 start screen?
- Why can't I make the trackpad scroll speed slower?
- Why don't I have any system tray icons?
- Why do the extensions I installed to work around some of the above problems (some of which have millions of downloads yet haven't been added as settings) break after every GNOME update?
But the Apple with ads is not the Apple that had some taste and discernment in the past. For a long time I’ve visited the App Store’s app update page directly (tap and hold on App Store icon to see the context menu option). Anytime I inadvertently go to the App Store home page or the few times I search, it’s an ad filled disaster!
From this article
> repeatedly attempting to prod customers towards even more of the company’s products might seem cheap, even distasteful.
From a recent post by John Gruber:
> Steve Jobs in 2011: 'We Build Products That We Want for Ourselves, Too, and We Just Don't Want Ads' [1]
Looks like Tim Cook, John Ternus and Eddy Cue really enjoy being swamped with ads in their products. Will there soon be a time when Apple executives start carrying some other brand’s devices with them to avoid having a rotten experience?
[1]: We don’t want ads https://daringfireball.net/linked/2026/07/28/jobs-we-dont-wa...
Recently I am starting to question some of the design decisions. Most native apps are bloated with functionalities, most of the time useless. Ads pop up everywhere, even before persistence; iCloud and backups are clearly designed to make you pay, the free space is useless.
I am not that sure my next phone will be an iPhone.
I have tried a recent Mac, and the system isn't intuitive at all. The first time I used GNOME, it was a breeze. Not the same with the MacBook system.
Upon Googling "ClickFix":
> "A ClickFix attack is a social engineering technique... It typically compromises devices by manipulating victims into copying and pasting malicious commands directly into system-level tools"
If you are spending millions on ads, you can pay a couple of guys to watch TV and take notes.
At the end of the article is this excerpt
>> Results from this research were generated using an AI computer vision model developed by the research team on Bristol’s Isambard-AI, the UK’s most powerful AI supercomputer. Isambard-AI powered the analysis of 172.6 hours of live match footage from all 104 games played between 11 June and 19 July 2026.
So, basically now merchandizers, auditors, compliance monitors, etc. have a tool using which they can quantify whether broadcaster complied with contractual requirements of showing their ads/merch/logos as per contract. And if they missed, then they can quantify the delta - to sue the broadcaster for the balance as well.
Also, it can enable many countries, where certain content is not allowed, then this tool can simply give them data points without having to employ someone, or have someone review the output of the AI tooling.
How did Cantor come up with his diagonal proof? It seems to have been dreamed out of nowhere
Why are there advertisements for a shampoo containing caffeine? Does caffeine do something useful other than when you drink it?
What happens in sense and sensibility?
All of them give a decent answer, with the ability to ask follow ups. Eg, how does S&S compare with Pride and Prejudice? What about more recent novels connecting romantic choices with economic choices?
All of them give you links to source material, in case you suspect they are just making it up.
At the start of the millennium, Google search changed everything about how I look for information. Now it seems outdated.
Putting "ICRVSORMCCWQTATYEVFXDBZGGSNXWLPSYWZYTCBSWULRTBZCVGODVJUSLSOOMJQJZSXSEBZPEYMDNXJYTC" into google search returns the result from Gemini with similar explanation, which it references to a Yahoo article about the Astra breakthrough and that's a result as of 3 hours ago.
"Carter Leffer only directed GPT–6 Astra to see if it could break any of the unbroken Enigma messages published on the Crypto Cellar Research web page."
"However, the most astonishing thing about this break is that the GPT–6 Astra did it entirely on its own."
> it suspected that the plaintext of Nr. 173, SIPVX, might be related to the plaintext of the unbroken MVUEH message
It makes sense that Nr. 172 and Nr. 173 might be related since they were sent at around the same time.
In Nr. 173, "ROSENOW ROSENOW" was also present.
It also makes sense that a longer crib would generally be more effective than a shorter one.
Stubborn for a long time because the message used a completely different key from the rest of that day's traffic. Everyone assumed it shared the daily key. The original transcription had errors. The left rotor turned over at letter 72, which is rare and breaks standard crib attacks.
What is cool, if true, is that it was a 2 day collab between the Leffer and Astra. To me this shows the importance of human in the loop, was still all also showing how immensely power of llm tools. But I think it’s getting a bit silly how much anrticles ignores the driving force (the person) in breakthroughs like this.
BTTE UM ANGABE DES MARSQWEGES X BEFINDE MIQ IN X ROSENOW ROSENOW X SOFORT FUNKANTWORT X WASCHBBSCH
Please specify the route of march. I am in Rosenow, Rosenow. Immediate reply by radio. Waschbusch.- Gradually lower the strength of my liquid until it was at the minimum.
- Stop all vaping and switch to nicotine gum
- Gradually increase the time between each gum
- Stop the gum altogether
This process took probably 3 months and tbh it was pretty miserable the whole time. It's 100% worth it tho, You don't realize how much it controls your life until you stop. You will also still get random cravings for a year or two afterwards, Heck it's been 4 years and I still sometimes get dreams where I'm vaping.
In my experience: no, you don't. You just arrange your life around the fact that you need to smoke all the time.
I would have never thought that people would be stupid enough to try this for real, but here we are...
https://www.reddit.com/media?url=https%3A%2F%2Fpreview.redd....
The redeveloped Battersea Power Station is one of the most soulless, dead-eyed, wealth-obsessed places in all of London. This is a terrible place to put something like a music venue, unless your target market is the adult children of emigres with unexplained wealth, and I think it speaks to Apple’s sanitised, emotionally-distant, luxury-focussed worldview that they would consider it.
Incredible building. Awful development. They could have donated ten million quid to the Music Venue Trust instead.
The free U2 album looks like the work of a tastemaker by comparison.
As an Australian who just wants relatively free access to information (and the ability to freely/easily discuss it), it's frustrating.
And it's not the first time the Australian government has done this; last year they banned U16 from social media, several weeks later everyone was alerted to Bondi by... social media.. so they could get the heck out of there, but U16... they were left clueless and unable to get updates (news sites ran 30+ minutes behind real-time events and official sites like NSW Police took 70+ minutes to even announce there was a shooter).
Most Australians dislike social media. We are underrepresented on it, and it shovels the US’s issues down our throat. The current algorithms mainly send us US political propaganda and things that are supposed to make us hate nearby Asian powers like China.
Basically, the idea is to attribute a new kind of ID to an initial 'change'. During review, or whenever a commit is rebased, the change ID is kept, whereas the commit of course changes. This allows tooling to identify all previous versions of a change, and is what enables "per-commit" code review à la Gerrit [2] (which IMO is a much better experience than the branch-review-squash model that GitHub normalized). It's also used in jj, although I'm not familiar with that.
As of today, any tool that wants a change ID needs to somehow encode it in commit message bodies. The proposed discussion was about making a change ID a standard header field that git would natively keep across rebases.
[1] https://lore.kernel.org/git/Z_OGMb-1oV0Ex05e@pks.im/T/#mf941...
[2] https://gerrit-review.googlesource.com/Documentation/user-ch...