Last Notes
Tenho feito APPs para pessoas normais diminuírem a quantidade de informação pessoal que compartilham. Você pode abrir ou compartilhar uma imagem com o MetadaraScrubber, limpar os dados e depois compartilhar. Hoje devo subir uma atualização com câmera dentro do APP, aí dá pra tirar a foto e compartilhar. Será uma câmera simples, mas suficiente para imagens que não precisam da melhor resolução do celular.
I'm testing my app and found that your picture contain information that can trace it to you.
Before sharing pictures, run them by MetadataScrubber, available at @Zapstore and web.
https://zapstore.dev/apps/no.stormberry.metadatascrubber
metadata.stormberry.as
#Stormberry #FOSS #MetadataScrubber
I'm testing my app and found that your picture contain information that can trace it to you.
Before sharing pictures, run them by MetadataScrubber, available at @nprofile…gsu4 and web.
https://zapstore.dev/apps/no.stormberry.metadatascrubber
metadata.stormberry.as
#Stormberry #FOSS #MetadataScrubber
I'm testing my app and found that your picture contain information that can trace it to you.
Before sharing pictures, run them by MetadataScrubber, available at @nprofile…gsu4 and web.
https://zapstore.dev/apps/no.stormberry.metadatascrubber
metadata.stormberry.as
#Stormberry #FOSS #MetadataScrubber
I'm testing my app and found that your picture contain information that can trace it to you.
Before sharing pictures, run them by MetadataScrubber, available at @nprofile…gsu4 and web.
https://zapstore.dev/apps/no.stormberry.metadatascrubber
metadata.stormberry.as
#Stormberry #FOSS #MetadataScrubber
Check our reaction emoji! :stormberry:
https://media.povoa.no/cbc81806fb5bae5c7dc4975d0d707fa412d3ab1d236843bed7f23b645eea071e.png
#naddr1qq…k5u9
#Stormberry #Nostr #CustomEmoji
https://www.stormberry.as
I'm testing my app and found that your picture contain information that can trace it to you.
Before sharing pictures, run them by MetadataScrubber, available at @nprofile…gsu4 and web.
https://zapstore.dev/apps/no.stormberry.metadatascrubber
metadata.stormberry.as
#Stormberry #FOSS #MetadataScrubber
I'm testing my app and found that your picture contain information that can trace it to you.
Before sharing pictures, run them by MetadataScrubber, available at @nprofile…gsu4 and web.
https://zapstore.dev/apps/no.stormberry.metadatascrubber
metadata.stormberry.as
#Stormberry #FOSS #MetadataScrubber
I'm testing my app and found that your picture contain information that can trace it to you.
Before sharing pictures, run them by MetadataScrubber, available at @nprofile…gsu4 and web.
https://zapstore.dev/apps/no.stormberry.metadatascrubber
metadata.stormberry.as
#Stormberry #FOSS #MetadataScrubber
I'm testing my app and found that your picture contain information that can trace it to you.
Before sharing pictures, run them by MetadataScrubber, available at @nprofile…gsu4 and web.
https://zapstore.dev/apps/no.stormberry.metadatascrubber
metadata.stormberry.as
#Stormberry #FOSS #MetadataScrubber
I'm testing my app and found that your picture contain information that can trace it to you.
Before sharing pictures, run them by MetadataScrubber, available at @nprofile…gsu4 and web.
https://zapstore.dev/apps/no.stormberry.metadatascrubber
metadata.stormberry.as
#Stormberry #FOSS #MetadataScrubber
Here's a small contribution from us, available both on web and @Zapstore:
https://metadata.stormberry.as
https://zapstore.dev/apps/no.stormberry.metadatascrubber
True, but not everybody uses nostr :)
Most Nostr users probably know how to remove metadata from their files.
The idea of the app is to make it easier for the average person to reduce the amount of information shared.
A photo can say more than it shows, starting with where you stood when you took it.
Most phone cameras write the date and time to the second and the phone model into every photo, and if you ever let the camera use your location, the GPS position too. Many dedicated cameras add their serial number, and cameras and editing software can add your name.
Some platforms remove this when you upload. A photo sent as an email attachment, as a file in a chat or through a shared folder link usually keeps all of it.
So we built MetadataScrubber, the newest app in Stormberry Labs. It lists what a photo carries besides the picture, ticks the items to remove before sharing publicly, removes only what you choose, normally without re-saving the picture, and reads the new file back so you can see what is left.
It runs entirely on your own device: load it, switch off your network, and it keeps working. The page's own security policy also stops it from uploading anything. JPEG, PNG, WebP and HEIC. Free, no account, open source.
Stormberry Labs is where we build a functioning prototype to start an idea. If you have one sitting at that stage, we are glad to talk.
Try it on a photo you were about to share:
https://metadata.stormberry.as/
The code is open for anyone to check:
https://github.com/StormberryAS/MetadataScrubber
Download at Zapstore:
https://zapstore.dev/apps/no.stormberry.metadatascrubber
#Stormberry #privacy #photography #opensource #zapstore
https://media.povoa.no/ca3f8e884600fd7c5ff58e8fa918216528e70a6a52149aa9c31fe1e14ace425c.png
New business here. I have a cron job running twice a day, if there's a new entry on my company's blog, it posts here.
It works for my business, maybe not everybody.
#Stormberry #blog #nostr #business
www.Stormberry.as/blog
Generative AI now reaches 80 per cent of occupations and more than 40 per cent of tasks. In most of those occupations, fewer than half the workers actually use it. Only 2.8 per cent of tasks show adoption above 50 per cent. None passes 70.
That is the shape of a tool that has been made available and not yet built into how the work gets done. Everybody has access. Almost nothing has become the default method.
The distinction matters when you are the one paying. License counts and login rates measure distribution. They say nothing about whether a task got faster, cheaper or more consistent, and they are the numbers most likely to appear on the slide when someone asks how the rollout is going.
If you have bought seats, pick three or four specific tasks and measure those instead. Time to produce a quote. Hours spent on monthly reporting. Rework on a standard document. If none of them moved, the answer is not more training. It is that the tool was never wired into the work.
The task-level adoption table is the part of the paper to read, not the occupation-level figures. Mapping your own highest-volume tasks against it is a short piece of work, and it is where Stormberry starts an AI review.
Source: NBER, August 2026.
https://www.nber.org/papers/w35677
https://stormberry.as/ai
#AI #adoption #productivity #Stormberry
Three findings on how customers respond to artificial intelligence, from research summarised by MIT Sloan Management Review.
First, people avoid the chatbot even when it costs them nothing. Participants chose it only 28 per cent of the time when the wait was identical either way.
Second, and more useful, the effect is not symmetrical. Across studies with more than 82,000 participants, customers accepted a worse-than-expected offer 78.6 per cent of the time when it came from a machine, against 60.4 per cent from a person. But humans were better at delivering a better-than-expected offer, 89 per cent against 76. The explanation is that nobody reads intent into a system. There is no generosity to credit and no meanness to resent.
Third, a meta-analysis of 163 studies puts adoption down to two things: whether the customer believes the machine is capable, and how much personalisation the task needs.
That last pair is a better test than choosing by department. Before you automate anything customer-facing, sort your interactions by whether the customer expects to be recognised. Start where they do not. Keep a person where they do, and wherever you have good news to give.
Source: MIT Sloan Management Review, 2026-08-31
https://stormberry.as/ai
#AI #customerexperience #automation #Stormberry
Anthropic has proposed a specification for connecting AI agents to laboratory instruments and industrial robots. It defines read and write operations plus device discovery, with three ways to drive it. A research preview is running at a neuroscience institute, with Genentech, Qiagen, Tecan, Danaher and Doosan Robotics among the partners.
The problem it addresses is genuinely dull and genuinely expensive. Getting a new instrument or machine talking to your existing systems takes weeks, sometimes months, of bespoke integration work, every single time.
Anthropic's own caveat is the honest part: language models still lack physical intuition. This is a way to connect an agent to a machine, not a claim that the agent can run your production line. The specification is not open source yet either.
Whether or not this particular standard wins, the direction is clear enough. If your company runs instruments or machines, document your device interfaces now, while nobody is under pressure. Clean, documented interfaces are what make any future connection cheap. Undocumented ones are what make it a project.
Source: Anthropic
https://stormberry.as/ai
#AI #automation #robotics #Stormberry
One more eclipse, this time lunar, and only for the early birds.
You can use our EclipseTracker at eclipse.stormberry.as
https://eclipse.stormberry.as
#eclipse #astronomy #android #Stormberry
Two security firms say they ran 17 million offensive actions against live systems over three days. The result: 38 validated attack paths and 238 findings, work they estimate would have taken a five-person team 2,400 hours.
Treat the arithmetic with the usual caution. A count of findings is a count of things found, not of things worth fixing, and the firms publishing the number sell the service.
The structural point survives that scepticism. Rob Joyce, formerly of the NSA, put it plainly: you are going to be red-teamed whether you pay for it or not. If attacking systems becomes cheap enough to run continuously, an annual penetration test stops measuring your security and starts measuring how long a hole could sit open.
Most companies I speak to are not choosing between annual testing and continuous testing. They have never done either.
For a small or mid-sized Norwegian company in that position, the first step is not an AI red team. It is a written list of everything you expose to the internet, an ordinary vulnerability scan, and fixing what it finds.
Source: The Register, 2026-08-22
https://stormberry.as/ai
#security #redteam #AI #Stormberry
New research says AI agents can reach an average of 45 per cent of company data, and 30 per cent or less at the least prepared organisations. Only about half of the 300 executives surveyed trust the decisions their agents make.
Read the small print first. The study is sponsored, produced with a company that sells data infrastructure, and it reports that every single respondent plans to adopt agentic AI within two years. That last figure tells you who agreed to answer the survey, not what the market is doing.
The 45 per cent survives the scepticism, because it matches what firms find when they actually look. An agent is only as good as the systems somebody bothered to connect it to. Two thirds of the laggards blamed legacy systems for blocking both growth and real-time decisions.
Most failed AI projects I hear about were never model problems. They were plumbing problems wearing a strategy costume.
For a small or mid-sized Norwegian company, start there. List the five systems an assistant would need to read to be genuinely useful, then find out what proper access to each would cost. Do that before choosing a vendor.
Source: MIT Technology Review Insights, 2026-08-12
The full piece is worth reading if this is relevant to your operations
https://stormberry.as/ai
#AI #data #agents #Stormberry
Brazil has quietly moved the start of split payment. From January 2027 the new consumption taxes begin to be charged, but the automatic collection at the moment of each transaction will not start with them. No new date has been set. The banks that must process it asked for more time.
If you sell into Brazil or run a subsidiary there, read this as a cash flow story rather than a tax story. The bill does not change. What changes is when the money leaves you. Today a Brazilian company receives the full amount from the customer and pays the tax later, so that gap works as free short term funding. Under split payment, the tax share never reaches your account at all. For a firm running on thin working capital, that is the difference between comfortable and tight.
For a small or mid-sized Norwegian company with Brazilian operations or Brazilian suppliers, use the delay. Model the working capital gap now, while you have months, rather than in the week the new date is finally announced.
Source: Gazeta do Povo
https://stormberry.as/strategy
#Brazil #tax #cashflow #Stormberry
SunApp for Android is out, and it wakes you by the sun rather than by the clock.
Set an alarm for six hours before solar noon, or eight hours after sunrise, and it
recomputes every day as the seasons move. When you build a rule it shows you the next
thirty days of fire times, so a rule that drifts into the afternoon in December is
visible when you set it rather than discovered in November. During polar night it falls
back to solar noon and tells you why.
25,007 cities are compiled into the app, each carrying its own timezone. There is no
INTERNET permission, so it cannot phone home even if it wanted to, and no location
permission either. You can check that yourself before installing.
MIT licensed, and the same maths runs in the browser if you would rather not install
anything.
A functioning prototype built in Askøy, where the gap between a December sunrise and a
June one is nine and a half hours and the question stops being academic.
https://sun.stormberry.as
https://zapstore.dev/apps/no.stormberry.sunapp
#FOSS #apk #alarm #sun #Stormberry
A reused username ties your accounts together long before anyone gets near your email or your password. Using a different one everywhere is one of the cheapest privacy habits there is, and the irony is that most username generators are websites you have to hand your new identity to.
So we built one that never sees it, and it is now on Zapstore, the app store built on nostr.
UsernameGenerator asks for no Android permissions. Not "only the clipboard", none at all, and you can check that before you install: dump the permissions of the APK and the only line you should see is the package name. Everything runs on word lists compiled into the app, so there is no network access, no account, no analytics and nothing that could phone home. The names you generate stay in memory for the session and are never written to disk, because a saved list of the identities you created is exactly the file you would not want on your phone. Randomness comes from SecureRandom rather than an ordinary random number generator, since identities you are keeping apart should not be guessable from one another.
What it does: one to five words, drawn from curated lists of positive words in 11 languages, including Norsk, Português, Español, Deutsch, Français, Italiano, Nederlands, Polski, Română and Latina. Mixed, or adjectives, nouns or verbs only. A separator of none, hyphen, underscore or full stop. Accents are stripped after generation, so "condução" becomes "conducao" and the result is accepted everywhere. Tap to copy.
Publishing through nostr adds something an ordinary download does not. The signing certificate of the app is cryptographically linked to our nostr identity, so your device can check the build really came from us before it installs it. The source is open under MIT, every release is built in the open, and each one carries a provenance record tying the binary to the commit it came from.
Prefer the browser? The web version sets no cookies and nothing leaves the page.
On Zapstore: https://zapstore.dev/apps/no.stormberry.usernamegenerator
In your browser: https://username.stormberry.as
https://media.povoa.no/79e1bf28753e2246e84c097c4a2d0831f4e870bfefd92929644414f2ae58731d.png
#privacy #nostr #android #opensource #Stormberry
