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morisy

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founder, MuckRock Foundation: Open Our World.

Our portfolio of open source transparency tools: * https://www.muckrock.com * https://www.documentcloud.org * https://otranscribe.com * https://www.foiamachine.org

email michael at muckrock, but I'm often slow to respond.

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congressmcp.lawgiver.ai 1y ago

CongressMCP: MCP Server for US Congressional Data

morisy
3pts0
www.forbes.com 1y ago

Trump Crypto Partner Is KuCoin – Which Is Banned in U.S. for Money Laundering

morisy
17pts3
thesicktimes.org 1y ago

Using game design and mods to highlight long Covid impact

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oklahomawatch.org 1y ago

Oklahoma seeks 55,000 classroom Bibles. Only Trump Bibles meet the criteria

morisy
8pts3
arstechnica.com 1y ago

City of Columbus sues man after he discloses severity of ransomware attack

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8pts1
www.muckrock.com 2y ago

Appin's global censorship campaign to stop you from reading these documents

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2pts1
www.muckrock.com 3y ago

Atomic Fallout: Government downplayed, ignored health risks of radioactive waste

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13pts3
www.muckrock.com 4y ago

Revolving-door riches: How Obama-Biden officials cashed in during Trump years

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4pts4
www.muckrock.com 4y ago

MO Gov. commissioned study that found mask mandates worked, then kept it secret

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7pts0
www.theguardian.com 4y ago

Voyager Labs, social media surveillance vendor selling to local government

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5pts0
www.muckrock.com 4y ago

White House Market's closure opens up opportunities for new dark web bazaars

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9pts0
www.muckrock.com 4y ago

States offered muted reaction to Apple's iPhone-as-ID push

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2pts0
newrepublic.com 4y ago

How the transparency collective DDoSecrets eclipsed Julian Assange

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www.ciceroindependiente.com 5y ago

Chicago Suburb Spent Entire Federal Covid-19 Relief Funding on Police Payroll

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72pts4
diff.wikimedia.org 5y ago

Departure Letter from Katherine Maher, Executive Director of Wikimedia

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www.thenewatlantis.com 5y ago

Warnings of AI doom gave way to primal fear of primates posting

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37pts19
www.govtech.com 5y ago

How four states handled scaling and upgrading their unemployment IT systems

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www.zagaja.com 5y ago

Why Massachusetts Struggled to Make a Vaccine Website

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time.com 5y ago

Where Is Alibaba Founder Jack Ma?

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www.muckrock.com 5y ago

Share your stories of opaque government for the 2021 Foilies

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svelte.recipes 6y ago

Svelte Recipes

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www.spiegel.de 6y ago

Database Exposes Offshore Holdings of Prominent Germans

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vcij.org 6y ago

How Secure Is Your Child’s Data in Virginia’s Virtual Classrooms?

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1pts0
www.muckrock.com 6y ago

As Georgia reopens, state relies on corporate donations with PPE orders unfilled

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3pts0
www.technologyreview.com 6y ago

The messy, secretive reality behind OpenAI’s bid to save the world

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70pts4
www.muckrock.com 6y ago

Database of algorithms used by local governments around U.S.

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www.muckrock.com 6y ago

Virginia university begins use of students’ Wi-Fi to track attendance

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6pts1
www.muckrock.com 6y ago

Where each presidential candidate stands on FOIA

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www.muckrock.com 6y ago

The “Melissa Worm” Through the Eyes of the FBI

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www.muckrock.com 6y ago

Police departments take PredPol effectiveness on faith with few checks in place

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The class was led by Norfolk County's pension fund but seems to include a much wider range of investors:

The claimants in this case were all investors who had bought shares between November 2018 and January 2019.

And the EU fines in the Spotify related case were just a bit under 1.8 billion euros / $2 billion, so still significantly larger but indeed an interesting comparison point.

I was trying to think of this as well. I think recently there's the great example of NFTs, but in 1998, I think that was around the era Beanie Babies collapsed in part from the speculation/collectible editions and maybe the Baseball Card collapse in the late 90s?

https://allvintagecards.com/sports-card-market-crash-90s/

And maybe in general, at that point, a lot of limited editions existed but were somewhat tacky and obvious, versus naturally limited or collectible items. But I do think around this time we saw a few collectible items go overboard in trying to push the phenomena as far as it could go.

A lot of things about Zelda's plotting clicked for me in a new way when I read about how the directors were inspired by Twin Peaks and just surreal little characters and moments:

https://www.nintendolife.com/news/2019/12/feature_how_david_...

My pet conspiracy theory, of which there is sadly ample contrary evidence, is that the Zelda universe was supposed to be more like the Bond universe, where it just kind of reboots and picks and chooses its continuity rather than the convoluted branching of time, which I think doesn't add anything to it.

If you're interested in this area, Lean Startup (book or general resources from that area) might be helpful. One example from the [Wikipedia Page](https://en.wikipedia.org/wiki/Lean_startup):

As an example, Ries noted that Zappos founder Nick Swinmurn wanted to test the hypothesis that customers were ready and willing to buy shoes online. Instead of building a website and a large database of footwear, Swinmurn approached local shoe stores, took pictures of their inventory, posted the pictures online, bought the shoes from the stores at full price after he'd made a sale, and then shipped them directly to customers. Swinmurn deduced that customer demand was present, and Zappos would eventually grow into a billion dollar business based on the model of selling shoes online.

It also is very common for "AI" startups to have the AI just be manual work, though this can be controversial: https://www.404media.co/kaedim-ai-startup-2d-to-3d-used-chea...

We also definitely did it in the early days of my non-profit — we wanted to build a very optimized public records submission platform that handled mail, fax, etc., but in our early days I literally hand delivered records requests, which was super helpful from learning but at $2 per request was a huge money-not-maker.

Just as an informational point, it's generally highly discouraged for foundations or non-profits to have board members (the ones that have the legal control) take a salary as it creates a conflict of interest that's hard to work out of. So if you help found a non-profit, raise money, and then want to do it full time, a lot of times you'll invariably lose control — and there's good governance reasons for that, but it definitely matters who the board ends up being.

If you're living off the land IRL, you forage and take what nature gives you, and it's important to recognize safe plants, fungi, etc. you can use because you can't go shopping.

In cybersecurity, the concept is that it's easier to go undetected or just get things done if you're a hacker if you can use apps that are already installed on the system versus installing new systems, which will often raise red flags or be locked down. So you learning to see if target system already has GroupChatApp installed and if so, it lets you escalate permissions in a way that otherwise you couldn't do.

A few folks have talked about digitizing paper documents, so one of my favorite tricks for iPhone havers:

iPhones have very nice scanning tools built in, but it’s buried in the Notes app. Create a new note, click the camera icon, then “scan documents” and it will create a very nice, usually well cropped and OCRd scan that’s saved as a PDF you can then export elsewhere. Wish it was a standalone app because it works so well, and this is from someone who helps digitize and preserve paper documents for a living.

If you're a publisher, just the insurance for lawsuits like this can cost $10,000 to $20,000 at the low end, and even if there's little merit to the case the litigation costs can easily go into the hundreds of thousands of dollars if a few things don't break your way.

If your case gets the right publicity at the right time, there's a number of groups that might be a fit for pro bono assistance (I've personally benefitted from just that in at least three cases), but counting on that is a huge gamble and, even if the case is thrown out, then spikes your insurance costs down the road.

There are non-profits and foundations that help with supporting folks, but they have to be very selective — if one case can cost $250,000 in legal expenses, and those costs can go into the million+ range with appeals etc (let alone a loss), even very deep pockets can quickly run dry.

And to make matters worse, one person shared that a lot of lawyers that sue in this law actually look for folks that have insurance policies, and then just ask for whatever the max of the policy is, so the advice is don't bother with a $2 million policy vs. $1 million because they'll just double the ask.

Yes, in some cases you can try to recoup legal expenses, but that often involves more years of being tangled in litigation, more legal bills, and more uncertainty.

It’s got a very ideologically-driven focus, including an anti-capital source license:

https://github.com/bookwyrm-social/bookwyrm/blob/main/LICENS...

I think the focus on federation is to encourage small, decentralized and communally operated sites that play well with the broader fediverse. I can see that working well for a lot of book communities!

Also, spent a bit of time a few weeks ago and it already seemed to have the nicest UX of the open social book services, at least that I could see (would love recs - mostly interested in a personal tracker).

Been using Memmy — a few weeks ago, it felt like a very impressive beta app, and since then it's gone to just feeling like a great app. Seems to have taken a lot of good lessons from Apollo in terms of responsiveness and speed. Planted the seed of wanting to even host my own Lemmy instance.

so I guess it was just too obvious to demo. Or is it?

I certainly don't think so? My guess going in was that fitness would be one of the main plugs — especially because high-end fitness devices already cost a fair amount, and that would have made their tail end, "How much would a computer plus a screen plus umm... it's $3,5000!" go a lot more smoothly.

I do think that's likely high on the road map, particularly given such a large investment in Fitness+, but also can see them being very wary about encouraging any high-energy movements with a $3,500 device. I think it's the pricing and dev-kit-ish nature of the v1 more than too obvious.

But Vision Pro does seem to imply a future Vision Sport.

This is exactly the promise and there’s a number of handwavey demos, and it feels like it should be easy enough to have something exactly like this as a “hello world,” but I haven’t seen any of the auto GPT-type that can reliably execute even a basic version of this. As others have mentioned, a little scaffolding custom for the project can work great, but having GPT build that scaffolding isn’t there, as far as I can see (I think a lot of people could benefit from a step-by-step of the parent’s use case as a proof of concept).

The ratio of 45 second “Twitter video demos” vs. examples of actual code/prompts/real world use cases you can replicate is quite striking. Dipping into related discords, I feel like I’m always missing something obvious because there is so much activity but what feels like to me so little replicable substance. I’m a terrible coder so I partially chalk it up to that but it definitely seems like it’s hitting the current boundaries of a parrot echoing itself into gibberish.

For a while, when I came up with a really clever, original one-liner, I'd search Twitter history and find that it had already been made dozens of times.

Worse, we started a business and scoured around, looking to see if anyone had ever tried it. A little over a year in, we realize someone else had started it, two years before us, but with slightly different terminology. Fortunately, but we're both still around and kicking over a decade later, though with a good understanding now of why not many other folks had tried it.

Remembering reading about Elektro as a kid — had a whole children's book from the 70s detailing various robots that presented them as in-use for a range of activities from security to factories, which in retrospect seemed selling the capabilities quite a bit.

Surprised that this wasn't a Mechanical Turk-style set up, but it did seem to actually respond to "voice commands," though with some clever (if brittle) hacks:

An operator gave voice commands to Elektro through a microphone, but the robot didn’t actually understand the words. According to an article in the August 1939 issue of Radio-Craft magazine, the voice commands were carefully timed syllabic codes, which were turned into electrical pulses by a grid-glow tube [PDF]. The pulse opened a shutter in front of a lightbulb, sending a flash signal across the room to a photoelectric tube in the robot’s control unit, located offstage. This “electric eye” translated the signal into an electric current and transmitted it through telephone relays to start Elektro’s gears whirring.

https://spectrum.ieee.org/amp/elektro-the-motoman-had-the-bi...

Great backstory! Been playing around with a very similar tool (for a specific, niche context: context for archives of government documents) and then was excited for GPT-3 to help solve it versus other options and have run into the same experience: Good, very expensive way to get what feels like a great solution and then you start noticing the many cracks.

In the 2000s, what in retrospect seems like obvious con men selling random number generators got pretty far up the national security chain of decision making:

https://www.pbs.org/newshour/nation/reno-casino-conman-pulle...

“Repeaters of association” is such a wonderful and spot on description for LLMs, but it’s also what makes the output so believable, whether or not they’re actually accurate in a given case. In policing and national security, there’s a lot of money and easy secrecy, and while I agree that the “escaped AI in the wild” seems hard to quite fathom mechanically, it seems equally hard to fathom it not playing an unwitting sidekick on some truly terrible scenarios.

I used to be the community manager for a StackOverflow-style (pre-dated SO by a number of years) site that catered to enterprise technology and we had ~200k-400k monthly visitors just on AS/400 topics — it was a huge and active community, but there was very little advertiser interest in it. A few years after I left, they completely shuttered the site and nuked the archives, sadly, so that's probably part of it — my site and others like it were bought up, monetized, then nuked when the money moved elsewhere.

The other partial reason is that a ton of those conversations happen in old email groups that aren't indexed or index a lot worse than spam sites do. So if you're interested, searching around for mailing lists, users groups, and old forums and there's still good material out there, just buried and mostly catering to folks who know the basics, so a bit tough to parse if you're new to it.

I think this comes from a supportive mindset, but working with homeless populations over the years I think they often were more at risk than many other groups. Significant numbers deal with domestic violence or otherwise abusive relationships, as one example, where these kinds of security issues can be life or death, and they often lack the digital hygiene skills many folks take for granted (I think half the folks in a computer lap I worked with left their password saved when chrome offered to remember it, or even wrote it down in a text file).

To clarify the above, the criminal charges came in not over copyright but over destruction of evidence and false statements:

However, criminal proceedings began when it transpired that Fairey lied in the earlier case, destroyed documents and submitted false images. In a statement published following the proceedings, the artist said that he 'accepted full responsibility for violating the Court's trust by tampering with evidence during my civil case with the Associated Press,' before going onto argue that he still believed he had a strong Fair Use case.

Trademark infringement cases can be ruinous, especially without insurance, but it’s civil not criminal.

The AI Unbundling 4 years ago

For a while, there's been a few ML based tools that have been given flat images and generated 3D renders:

https://www.youtube.com/watch?v=u7j4f6U7FJ4

I think that machine learning models will quickly hit some walls that feel unintuitive due to a lack of training data, but I also wouldn't want to bet on which ones.