US Copyright, Patents, and Generative AI

US Copyright, Patents, and Generative AI

There’s a lot of misinformation and misrepresentation of copyright and patent law when it comes to generative AI. In fact, the US copyright office has already flip-flopped on this issue; and the Chinese courts have come up with a completely different ruling saying that AI generated images can be copyrighted. It appears this could be a political war as much as a legal one.

A lot of the social media hyperbole is being fueled by fear and uncertainty. Not that there isn’t a real problem with generative AI taking away people’s livelihoods or possible copyright violation; but it’s worth knowing what one is talking about before heading off with pitchforks and torches.

I found this article on IPWatchdog to be informative about the actual legal arguments – but it’s important to know the jury is still out; and the US Copyright Office has already ruled exactly the opposite on this issue just a year ago. First off, what does copyright protect (compared to a patent)?

The Supreme Court laid out the difference first in Baker v. Selden, and re-emphasized it a century later in Mazer v. Stein. “Unlike a patent, a copyright gives no exclusive right to the art disclosed; protection is given only to the expression of the idea—not the idea itself.” In this way, each type of intellectual property right exists in different types of creations, which arise in a different ways, and have different requirements for protection. “[C]opyright protects originality rather than novelty or invention,” which is the domain of patents, said the Court in Mazer.

Indeed, what the Court made clear in Feist v. Rural, is that authorial works need to be original; that is, both created independently and “creative.” Other cases, such as Bleistein v. Donaldson, spoke of original expressions as “personal reaction upon nature,” where the author contributes “something recognizably his own,” per Alfred Bell

So the question for copyright becomes ‘Is AI creative?’. This is a tough point because it’s not clear what creativity really is. However, that philosophical or neuroscientific point is not that important when it comes to law. What is important is the previous language used to describe what is protected.

The article author indicates the emerging legal arguments seem to indicate that the kind of ‘creativity’ that is covered by copyright relates to that of human activity. Neither the courts nor the US Copyright Office have so far found AI to be creative with respect to the wording of existing copyright law.

Whether that argument is valid/sticks is a whole other story. Law is fickle and can change. It also doesn’t touch on the question of fair use on publicly displayed images and the argument that AI might be just considered as using copyrighted work to learn techniques/make but making their own reactive/derivative works which is something that art students do and the whole point of going to art school.

Either way, we’re likely see the most important legal decision in a decades with profound repercussions for future generations.

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International Longshore and Warehouse Union files bankruptcy for Port of Portland violations

International Longshore and Warehouse Union files bankruptcy for Port of Portland violations

It looks like the illegal slowdowns by ILWU that ended up destroying the Port of Portland and leaving it’s own members jobless when shipping companies cut all ties has finally reached a head – in the bankruptcy of ILWU.

The bankruptcy of the union was the final result of a decades-old litigation between the union and an affiliate of the International Container Terminal Services Inc. It started as, what a jury later determined, to be illegal tactics when workers for years caused operational disruptions at the Port of Portland.

After a 10-day trial in late 2019, a jury found ICTSI was entitled to over $93.6 million in damages – an astounding and unheard of record amount. Especially in union-friendly Oregon. While the union challenged the fine and a judge reduced the amount owed by the union to just over $19 million (March 2020), the amount was still too much.

ILWU filed for bankruptcy in Oct 2023.

Still, the damage was done. The Port of Portland went completly dark. May 2016 was when the last container ship left the facility and all dock work was permanently lost.

2023 Update:

In 2020, the Port of Portland has again started accepting container ships and are back up to just over half it’s former volume. Lets hope cooler heads have now prevailed and the militant rhetoric ended.

2024 Update:

The Port of Portland has succumb to the damage of the illegal ILWU slowdowns. After attempting to restart the port, it announced that it will again close all container operations effective Oct 1, 2024. The Port has announced they are closing all container operations after it had lost $13 million for each of the last 2 years – never recovering after the illegal Teamster union slowdowns that caused shippers to pull out of Portland and ultimately also bankrupt the Teamsters.

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You Want to Be a Video Game Developer?

You Want to Be a Video Game Developer?

Techspot wrote up a simple introduction to being in game development as a career. I think it’s a reasonable intro article to anyone interested in getting into the field as it is today; but definitely doesn’t go very deep in career development, if this would be a good fit for your personality, or matching long-term career goals.

I think some of the comments at the bottom are pretty interesting though. 🙂

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China rules AI Generated art is copyrightable

China rules AI Generated art is copyrightable

In stark contrast to Western rulings (well, except some early ones) and previous Chinese stance of control over generative AI, a Chinese court just awarded copyright protection to AI-generated images.

The case revolved around the generation of a pop idol image; not the use of copyrighted images in the training of a generative AI model that is the source of a current US lawsuit with artists.

The argument was the one that we’ve been hearing already: because it was a human being who wrote the relevant parameters for the AI model and ultimately selected the image in question, the final output is directly generated based on their intellectual input and “reflects the plaintiff’s personalized expression.”

It will be interesting to see how this goes.

Off-the-shelf electronic warfare

Off-the-shelf electronic warfare

LoRa (Long Range) radio uses little power and can communicate at up to three miles in urban areas and five miles or more in the open. Many drone operators now use a repeater, carried on another drone, to extend the reach

First-person view (FPV) drones are quickly becoming a key weapon in the Ukraine conflict. There is rapidly developing drone warfare involving thousands of drones every month. Both Russia and Ukraine have fielded jammers and drone guns firing radio waves to knock out drone communications.

Most recently a Russian group claims to have developed a ‘magic radio’ for FPVs which is highly resistant to jamming. A physicist with the handle DanielR evaluated the device minutely in a detailed Twitter thread. While the technology is not astounding, what is interesting is that the device uses cheap, off-the-shelf components.

Generative AI legal battles heat up

Generative AI legal battles heat up

More developments in the copyright case of generative AI and artists. The previous lawsuit has been amended and updated.

After a first round in which the judge refused a few arguments, things have gotten tightened up a bit.

  1. New artists – from photographers and game artists – have joined the lawsuit
  2. New arguments have been added:
    • In an effort to expand what is copyrighted by artists, the complaint makes the claim that even non-copyrighted works may be automatically eligible for copyright protections if they include the artists’ “distinctive mark,” such as their signature, which many do contain.
    • AI companies that relied upon the widely-used LAION-400M and LAION-5B datasets — which do contain copyrighted works but only links to them and other metadata about them, and were made available for research purposes — would have had to download the actual images to train their models, thus made “unauthorized copies.” to train their models.
    • The suit claims that the very architecture of diffusion models themselves — in which an AI adds visual “noise” or additional pixels to an image in multiple steps, then tries to reverse the process to get close to the resulting initial image — is itself designed to come as close to possible to replicating the initial training material. The lawsuit cites several papers about diffusion models and claim are simply ‘reconstructing the (possibly copyrighted) training set’.

This third point is likely the actual meat of the suit; but they haven’t spelled it out quite as sufficiently as I think they should have. To me, the questions that are really the crux of the question are:

  1. Do large-scale models work by generating novel output, or do they just copy and interpolate between individual training examples?
  2. Whether training (using copyrighted art) is covered by fair use or qualifies as a copyright violation.

Even if generative AI loses all of these arguments, it doesn’t mean generative AI is going away. They can still be trained on huge volumes of non-copyright images and data, or data that is purchased and licensed for the purpose. Even beyond that, companies have already been training models with data collected from their use (that you give to them for free by using devices like iPhone’s Siri, Amazon Alexa, and Google) and by generated synthetic training data.

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The Trolley problem is not helpful for autonomous vehicles

The Trolley problem is not helpful for autonomous vehicles

Determining what autonomous driving algorithms do in difficult life-and-death situations is a real problem. Until now, many have likened it to the famous ‘trolley problem‘.

There is a runaway trolley barreling down its tracks. Ahead, on the tracks, there are five people tied up and unable to move. The trolley is headed straight for them but you are standing in the train yard next to a lever. If you pull this lever, the trolley will switch to a different set of tracks. However, you notice that there is one person on the side track. You have two (and only two) options:

  1. Do nothing, in which case the trolley will kill the five people on the main track.
  2. Pull the lever, diverting the trolley onto the side track where it will kill one person.

The problem asks which is the more ethical option? Or, more simply: What is the right thing to do?

Analysts have noted that the variations of these “Trolley problems” largely just highlight the difference between deontological and consequentialist ethical systems. Researchers, however, are finding that distinction isn’t actually that useful for determining what autonomous driving algorithms should do.

Instead, they note that drivers have to make many more realistic moral decisions every day. Should I drive over the speed limit? Should I run a red light? Should I pull over for an ambulance?

For example, if someone is driving 20 miles over the speed limit and runs a red light, then they may find themselves in a situation where they have to either swerve into traffic or get into a collision. There’s currently very little data in the literature on how we make moral judgments about the decisions drivers make in everyday situations.

Researchers developed a series of experiments designed to collect data on how humans make moral judgments about decisions that people make in low-stakes traffic situations, and from that developed the Agent Deed Consequence (ADC) model.

The approach is highly utilitarian. It side-steps complex ethical problems by simply collecting data on what average people would consider ethical or not. The early research for ADC claims the judgements of the average people and ethics experts very often match; even if they were not trained in ethics. This more utilitarian approach may be sufficient for some tasks, but inherently is at risk from larger issues ‘If everyone jumped off a bridge, would you?” It’s often referred to as the Bandwagon Fallacy. Decisions made by the masses is something even Socrates argued against in The Republic.

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Storing energy – with big rocks

Storing energy – with big rocks

Energy Vault (NYSE: NRGV) has licensed six additional EVx gravity energy storage systems in China after starting construction of the world’s first facility near Shanghai.

After trying, then giving up on, battery technology (which is not exactly eco friendly), Energy Vault is designing and building facilities that essentially recreate the physics of the most popular form of energy storage – pumped hydro – but with giant movable blocks.

The design goes like this: Energy Vault installations use excess renewable energy at low times to lift massive composite blocks. Then, when the energy is once again needed on the grid, the blocks are lowered and the potential energy is turned to kinetic energy from the dropping blocks. That lowering then spins generators that supply electricity to the grid. The company believes it will be able to achieve a respectable round-trip efficiency (RTE) of over 80% with its current design.

Like many other projects, the devil is in the details – and there is growing skepticism. There is almost no solid technical details being released by the company. Many have questioned how the designs will achieve the astounding 80% efficiency when the gold standard of pumped hydro can’t usually achieve that rate. There’s no information on how the motors work or just about all the details that would be required to figure out if the claims are even remotely feasible.

Many are claiming this all smells like another Forbes 30 under 30 scam wrapped in greenwashing. Adding to the skepticism, there’s a new securities fraud investigation about Energy Vault relating to stock price manipulation. The stock has dropped almost 75% since it was introduced. This could spell bad news for the company, and China isn’t known for being lenient to scammers.

Maximize your vacation time in 2024!

Maximize your vacation time in 2024!

Want to maximize long weekends in 2024? Strategically request these vacation days to get three and four day holiday weekends galore!

  • Monday, Jan. 1 (New Year’s Day recognized)
    • Take off: Jan. 2 (Tuesday)
  • Monday, Jan. 15 (Martin Luther King, Jr. Day)
    • Take off: Jan. 12 (Friday)
  • Monday, Feb. 19 (President’s Day)
    • Take off: Feb. 16 (Friday)
  • Monday, May 27 (Memorial Day)
    • Take off: May 24 (Friday)
  • Thursday, July 4 (Independence Day)
    • Take off: July 5 (Friday)
  • Monday, Sept. 2 (Labor Day)
    • Take off: Aug. 30 (Friday)
  • Monday, Oct. 14 (Indigenous Peoples’ Day)
    • Take off: Oct. 11 (Friday)
  • Monday, Nov. 11 (Veterans Day)
    • Take off: Nov. 8 (Friday)
  • Thursday, Nov. 28 (Thanksgiving Day)
    • Take off: Nov. 29 (Friday) (If Friday is already a day off for you, take off the next Monday)
  • Wednesday, Dec. 25 (Christmas Day)
    • Take off: Dec. 23-Dec. 27 (Monday through Friday), using four days PTO to get nine consecutive days off

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Sail the Northwest Passage – for real

Sail the Northwest Passage – for real

The Northwest Passage is a sea lane between the Atlantic and Pacific oceans through the Arctic Ocean, along the northern coast of North America. For centuries, such a trade route to Asia was sought.

A northern route was discovered in 1850 by the Irish explorer Robert McClure. Scotsman John Rae explored a more southerly area in 1854 through which Norwegian Roald Amundsen made the first complete passage in 1903–1906 (yes, it took 3 years since they would be frozen in the ice all winter). The passage was known for its many disastrous expeditions. Despite the incredible feat, nearly year-round ice pack made this traversal impractical.

In recent years, however, artic sea ice has been receding. In 2013, a Chinese shipping line successful made passage by the 73,500 ton Nordic Orion. The company expressed interest in continuing the route more frequently as winter sea ice recedes.

But it’s not just big companies, you can now take one of these trips yourself – if you have the money. In just the last few years, tour companies are starting to make regular trips through the Northwest passage. Costs range from around $10,000 – $50,000.

Read about what to expect on such a voyage here.

Tour companies now offering cruises through the Northwest Passage: