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Cake day: May 8th, 2023

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  • they have ran out of VC money

    You know YouTube is owned by Google, not VC firms right?

    Big companies sometimes keep a division / subsidiary less profitable for a time for a strategic reason, and then tighten the screws.

    They generally only do this if they believe it will eventually be profitable over the long term (or support another part of the strategy so it is profitable overall). Otherwise they would have sold / shut it down earlier - the plan is always going to be to profitable.

    However, while an unprofitable business always means either a plan to tighten screws, or to sell it / shut it down, tightening screws doesn’t mean it is unprofitable. They always want to be more profitable, even if they already are.


  • They don’t have any leverage, because the people calling the shots in Israel (and to be clear, that is the likes of Ben-Gvir and Smotrich, who want effectively no Arabs river to sea, and hence Netanyahu, who I think would do just about any atrocity no matter how abhorrent just to stay in power and out of jail) value the pretext to invade far more than they value the lives of the hostages.

    So the hostages do not actually give Hamas any leverage over Israel - hence why Israel is not willing to agree to anything. Hamas should not have taken civilians hostage or targeted civilians in the first place, and they should release them. That is still an ongoing war crime, even if it is overshadowed by bigger ones being perpetrated by the Israeli side.

    Hamas never had a chance of winning on military might.

    The best chance for a good outcome for the Palestinian people is through raising awareness of the plight of the Palestinians, resulting in international pressure. The pressure against Israel arising now is because of the severity of Israel’s war crimes, while Hamas’ war crimes are one of the key talking points used to justify not taking action. Hamas could help Palestine win the information space war by taking the high road; winning a military war is futile for them.

    While it is not fair to punish Palestinian civilians for the war crimes of Hamas just because the interests of Palestinian civilians are aligned to Hamas’ goals, there are many people who don’t see it that way. Palestinian statehood (or a non-apartheid one-state solution) would now get far more international support if the Palestinian militants shifted to peaceful resistance.


  • Blockchain is great for when you need global consensus on the ordering of events (e.g. Alice gave all her 5 ETH to Bob first, so a later transaction to give 5 ETH to Charlie is invalid). It is an unnecessarily expensive solution just for archival, since it necessitates storing the data on every node forever.

    Ethereum charges ‘gas’ fees per transaction which helps ensure it doesn’t collapse under the weight of excess usage. Blocks have transaction limits, and transactions have size limits. It is currently working out at about US$7,500 per MB of block data (which is stored forever, and replicated to every node in the network). The Internet Archive have apparently ~50 PB of data, which would cost US$371 trillion to put onto Ethereum (in practice, attempting this would push up the price of ETH further, and if they succeeded, most nodes would not be able to keep up with the network). Really, this is just telling us that blockchain is not appropriate for that use case, and the designers of real world blockchains have created mechanisms to make it financially unviable to attempt at that scale, because it would effectively destroy the ability to operate nodes.

    The only real reason to use an existing blockchain anyway would be on the theory that you could argue it is too big to fail due to legitimate business use cases, and too hard to remove censorship resistant data. However, if it became used in the majority for censorship resistant data sharing, and transactions were the minority, I doubt that this would stop authorities going after node operators and so on.

    The real problems that an archival project faces are:

    • The cost of storing and retrieving large amounts of data. That could be decentralised using a solution where not all data is stored on a chain - for example, IPFS.
    • The problem of curating data and deciding what is worth archiving, and what is a true-to-source archive vs fake copy. This probably requires either a centralised trusted party, or maybe a voting system.
    • The problem of censorship. Anonymity and opaqueness about what is on a particular node can help - but they might in some cases undermine the other goals of archival.

  • A1kmm@lemmy.amxl.comtoPrivacy@lemmy.mlInternet Archive is in danger
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    28 days ago

    This is absolutely because they pulled the emergency library stunt, and they were loud as hell about it. They literally broke the law and shouted about it.

    I think that you are right as to why the publishers picked them specifically to go after in the first place. I don’t think they should have done the “emergency library”.

    That said, the publishers arguments show they have an anti-library agenda that goes beyond just the emergency library.

    Libraries are allowed to scan/digitize books they own physically. They are only allowed to lend out as many as they physically own though. Archive knew this and allowed infinite “lend outs”. They even openly acknowledged that this was against the law in their announcement post when they did this.

    The trouble is that the publishers are not just going after them for infinite lend-outs. The publishers are arguing that they shouldn’t be allowed to lend out any digital copies of a book they’ve scanned from a physical copy, even if they lock away the corresponding numbers of physical copies.

    Worse, they got a court to agree with them on that, which is where the appeal comes in.

    The publishers want it to be that physical copies can only be lent out as physical copies, and for digital copies the libraries have to purchase a subscription for a set number of library patrons and concurrent borrows, specifically for digital lending, and with a finite life. This is all about growing publisher revenue. The publishers are not stopping at saying the number of digital copies lent must be less than or equal to the number of physical copies, and are going after archive.org for their entire digital library programme.


  • A1kmm@lemmy.amxl.comtoAsklemmy@lemmy.mlAre you a 'tankie'
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    29 days ago

    No

    On economic policy I am quite far left - I support a low Gini coefficient, achieved through a mixed economy, but with state provided options (with no ‘think of the businesses’ pricing strategy) for the essentials and state owned options for natural monopolies / utilities / media.

    But on social policy, I support social liberties and democracy. I believe the government should intervene, with force if needed, to protect the rights of others from interference by others (including rights to bodily safety and autonomy, not to be discriminated against, the right to a clean and healthy environment, and the right not to be exploited or misled by profiteers) and to redistribute wealth from those with a surplus to those in need / to fund the legitimate functions of the state. Outside of that, people should have social and political liberties.

    I consider being a ‘tankie’ to require both the leftist aspect (✅) and the authoritarian aspect (❌), so I don’t meet the definition.



  • I think any prediction based on a ‘singularity’ neglects to consider the physical limitations, and just how long the journey towards significant amounts of AGI would be.

    The human brain has an estimated 100 trillion neuronal connections - so probably a good order of magnitude estimation for the parameter count of an AGI model.

    If we consider a current GPU, e.g. the 12 GB GFX 3060, it can hold about 24 billion parameters at 4 bit quantisation (in reality a fair few less), and uses 180 W of power. So that means an AGI might use 750 kW of power to operate. A super-intelligent machine might use more. That is a farm of 2500 300W solar panels, while the sun is shining, just for the equivalent of one person.

    Now to pose a real threat against the billions of humans, you’d need more than one person’s worth of intelligence. Maybe an army equivalent to 1,000 people, powered by 8,333,333 GPUs and 2,500,000 solar panels.

    That is not going to materialise out of the air too quickly.

    In practice, as we get closer to an AGI or ASI, there will be multiple separate deployments of similar sizes (within an order of magnitude), and they won’t be aligned to each other - some systems will be adversaries of any system executing a plan to destroy humanity, and will be aligned to protect against harm (AI technologies are already widely used for threat analysis). So you’d have a bunch of malicious systems, and a bunch of defender systems, going head to head.

    The real AI risks, which I think many of the people ranting about singularities want to obscure, are:

    • An oligopoly of companies get dominance over the AI space, and perpetuates a ‘rich get richer’ cycle, accumulating wealth and power to the detriment of society. OpenAI, Microsoft, Google and AWS are probably all battling for that. Open models is the way to battle that.
    • People can no longer trust their eyes when it comes to media; existing problems of fake news, deepfakes, and so on become so severe that they undermine any sense of truth. That might fundamentally shift society, but I think we’ll adjust.
    • Doing bad stuff becomes easier. That might be scamming, but at the more extreme end it might be designing weapons of mass destruction. On the positive side, AI can help defenders too.
    • Poor quality AI might be relied on to make decisions that affect people’s lives. Best handled through the same regulatory approaches that prevent companies and governments doing the same with simple flow charts / scripts.

  • I looked into this previously, and found that there is a major problem for most users in the Terms of Service at https://codeium.com/terms-of-service-individual.

    Their agreement talks about “Autocomplete User Content” as meaning the context (i.e. the code you write, when you are using it to auto-complete, that the client sends to them) - so it is implied that this counts as “User Content”.

    Then they have terms saying you licence them all your user content:

    “By Posting User Content to or via the Service, you grant Exafunction a worldwide, non-exclusive, irrevocable, royalty-free, fully paid right and license (with the right to sublicense through multiple tiers) to host, store, reproduce, modify for the purpose of formatting for display and transfer User Content, as authorized in these Terms, in each instance whether now known or hereafter developed. You agree to pay all monies owing to any person or entity resulting from Posting your User Content and from Exafunction’s exercise of the license set forth in this Section.”

    So in other words, let’s say you write a 1000 line piece of software, and release it under the GPL. Then you decide to trial Codeium, and autocomplete a few tiny things, sending your 1000 lines of code as context.

    Then next week, a big corp wants to use your software in their closed source product, and don’t want to comply with the GPL. Exafunction can sell them a licence (“sublicence through multiple tiers”) to allow them to use the software you wrote without complying with the GPL. If it turns out that you used some GPLd code in your codebase (as the GPL allows), and the other developer sues Exafunction for violating the GPL, you have to pay any money owing.

    I emailed them about this back in December, and they didn’t respond or change their terms - so they are aware that their terms allow this interpretation.


  • Votes on this comment:

    1. Came from 14 different instances - many of them major. Of those instances, the instance with the most votes contributed was lemmy.world (i.e. your own instance), from which my instance has seen 14 votes for that comment.
    2. Of the voters, I looked at the distribution of the person IDs assigned on my instance, which approximately represents the order they were seen by my instance (e.g. they voted on or interacted with another comment). If there was vote manipulation, I’d expect to see lots of IDs close together. However, there are not runs of IDs that are close together. To avoid this when manipulating votes, they’d need to have planned in advance, and made accounts and used them individually over time before finally deploying them to downvote you.

    If there are instances that are a significant source of vote manipulation, and the local admins are unwilling to address it, there are options available to instance admins like defederation.

    However - in the case of your comments, there is no meaningful evidence of vote manipulation.


  • The best option is to run them models locally. You’ll need a good enough GPU - I have an RTX 3060 with 12 GB of VRAM, which is enough to do a lot of local AI work.

    I use Ollama, and my favourite model to use with it is Mistral-7b-Instruct. It’s a 7 billion parameter model optimised for instruction following, but usable with 4 bit quantisation, so the model takes about 4 GB of storage.

    You can run it from the command line rather than a web interface - run the container for the server, and then something like docker exec -it ollama ollama run mistral, giving a command line interface. The model performs pretty well; not quite as well on some tasks as GPT-4, but also not brain-damaged from attempts to censor it.

    By default it keeps a local history, but you can turn that off.


  • Cars definitely kill wildlife too - estimation methodologies vary, but I’ve seen estimates saying:

    • Vehicles directly kill about 10,000,000 native animals across Australia per annum. That’s not including habitat loss, and doesn’t include insects (birds, reptiles, and mammals only).
    • Pet cats kill about 546,000,000 native animals across Australia per annum. I believe that’s using a similar definition excluding insects.
    • Feral cats kill about 3,000,000,000 native animals across Australia per annum.

    Of course, habit destruction and pollution has a huge impact as well.

    But roaming pet cats legitimately are a major part of the problem. It is possible to simultaneously replace lawns with tree cover, and reduce the burden of cats. That could also feed into a comprehensive policy of tackling stray and feral cat populations - something which is made harder in suburbs due to roaming pet cats.

    As for whether it is cruel: change is a stressor for cats, so a sudden change from outdoor access to indoor-only could increase stress levels, but that is a one-off transition and there could be ways to manage that (for example, by providing a lot of notice of a change and allowing owners to phase out access, or by having a permit system for indoor and outdoor cats, and allowing renewal of existing permits for specific microchipped cats, but no new outdoor cat permits). Outdoor access / hunting outdoors is a form of enrichment for cats, but not the only one possible. Indoor cats can play with toys, and have owners simulate chasing and hunting activities indoors (for example, with ribbons, small balls, chasing cat treats, and so on) to provide similar enrichment. At the same time, the indoors protect cats from stressful situations like encountering or being mauled by dogs, aggressive cats, foxes, brushtail possums, injuries on the roads, and disease.


  • I think the most striking thing is that for outsiders (i.e. non repo members) the acceptance rates for gendered are lower by a large and significant amount compared to non-gendered, regardless of the gender on Google+.

    The definition of gendered basically means including the name or photo. In other words, putting your name and/or photo as your GitHub username is significantly correlated with decreased chances of a PR being merged as an outsider.

    I suspect this definition of gendered also correlates heavily with other forms of discrimination. For example, name or photo likely also reveals ethnicity or skin colour in many cases. So an alternative hypothesis is that there is racism at play in deciding which PRs people, on average, accept. This would be a significant confounding factor with gender if the gender split of Open Source contributors is different by skin colour or ethnicity (which is plausible if there are different gender roles in different nations, and obviously different percentages of skin colour / ethnicity in different nations).

    To really prove this is a gender effect they could do an experiment: assign participants to submit PRs either as a gendered or non-gendered profile, and measure the results. If that is too hard, an alternative for future research might be to at least try harder to compensate for confounding effects.




  • The government just has to print for the money, and use it for that

    Printing money means taxing those that have cash or assets valued directly in the units of the currency being measured. Those who mostly hold other assets (say, for example, the means of production, or land / buildings, or indirect equivalents of those, such as stock) are unaffected. This makes printing money a tax that disproportionately affects the poor.

    What the government really needs to do is tax the rich. Many top one percenters of income fight that, and unfortunately despite the democratic principle of one person, one vote, in practice the one percenters find ways to capture the government in many countries (through their lobbying access, control of the media, exploitation of weaknesses of the electoral system such as non-proportional voting and gerrymandering).

    instead of bailing out the capitalists over and over.

    Bailing out large enterprises that are valuable to the public is fine, as long as the shareholders don’t get rewarded for investing in a mismanaged but ‘too big to fail’ business (i.e. they lose most of their investment), and the end result is that the public own it, and put in competent management who act in the public interest. Over time, the public could pay forward previous generations investments, and eventually the public would own a huge suite of public services.


  • Yes, but the information would need to be computationally verifiable for it to be meaningful - which basically means there is a chain of signatures and/or hashes leading back to a publicly known public key.

    One of the seminal early papers on zero-knowledge cryptography, from 2001, by Rivest, Shamir and Tauman (two of the three letters in RSA!), actually used leaking secrets as the main example of an application of Ring Signatures: https://link.springer.com/chapter/10.1007/3-540-45682-1_32. Ring Signatures work as follows: there are n RSA public keys of members of a group known to the public (or the journalist). You want to prove that you have the private key corresponding to one of the public keys, without revealing which one. So you sign a message using a ring signature over the ‘ring’ made up of the n public keys, which only requires one of n private keys. The journalist (or anyone else receiving the secret) can verify the signature, but obtain zero knowledge over which private key out of the n was used.

    However, the conditions for this might not exist. With more modern schemes, like zk-STARKs, more advanced things are possible. For example, emails these days are signed by mail servers with DKIM. Perhaps the leaker wants to prove to the journalist that they are authorised to send emails through the Boeing’s staff-only mail server, without allowing the journalist, even collaborating with Boeing, to identify which Boeing staff member did the leak. The journalist could provide the leaker with a large random number r1, and the leaker could come up with a secret large random number r2. The leaker computes a hash H(r1, r2), and encodes that hash in a pattern of space counts between full stops (e.g. “This is a sentence. I wrote this sentence.” encodes 3, 4 - the encoding would need to limit sentence sizes to allow encoding the hash while looking relatively natural), and sends a message that happens to contain that encoded hash - including to somewhere where it comes back to them. Boeing’s mail servers sign the message with DKIM - but leaking that message would obviously identify the leaker. So the leaker uses zk-STARKs to prove that there exists a message m that includes a valid DKIM signature that verifies to Boeing’s DKIM private key, and a random number r2, such that m contains the encoded form of the hash with r1 and r2. r1 or m are not revealed (that’s the zero-knowledge part). The proof might also need to prove the encoded hash occurred before “wrote:” in the body of the message to prevent an imposter tricking a real Boeing staff member including the encoded hash in a reply. Boeing and the journalist wouldn’t know r2, so would struggle to find a message with the hash (which they don’t know) in it - they might try to use statistical analysis to find messages with unusual distributions of number of spaces per sentence if the distribution forced by the encoding is too unusual.



  • Isn’t that a prerequisite for enshitification?

    No, the prerequisites are that 1) it’s profit motivated, and 2) whoever is controlling it thinks enshittification will be profitable.

    Those can certainly be met for a privately held company!

    Publicly-traded companies are required (by law, I think) to maximize profits for their shareholders

    That’s not true in any major market that I know of. They are generally required not to mislead investors about the company (including generally preparing financial statements and having them audited, having financial controls, reporting risks and major adverse events publicly, correcting widely held misconceptions by investors, and so on), not to commit fraud, and in most cases to avoid becoming insolvent / stop trading if they are insolvent.

    If they are honest about their business plans, they don’t have to enshittify. Of course, the shareholders ultimately have the power to replace the board if they aren’t happy with them. Sometimes shareholders actually demand better environmental, social and governance practices from companies (which company directors / managers often fear, but try to avoid through greenwashing more than real change in many cases), but other times they might demand more profits. Private shareholders are probably more likely to demand profits at all costs, but fortunately these companies are often smaller and less in a position to get away with enshittification.