I like to write, but have never done so professionally. I disagree that it hurts writers. I think people reacted poorly to AI because of the direct and indirect information campaign Altmann funded to try and make himself a monopoly. AI is just a tool. It is fun to play with in unique areas, but these often require very large models and/or advanced frameworks. In my science fiction universe I must go to extreme lengths to get the model to play along with several aspects like a restructure of politics, economics, and social hierarchy. I use several predictions I imagine about the distant future that plausibly make the present world seem primitive in several ways and with good reasons. This restructuring of society violates both some of our cultural norms in the present and is deep within areas of politics that are blocked by alignment. I tell a story where humans are the potentially volatile monsters to be feared. That is not the plot, but convincing a present model to collaborate on such a story ends up in the gutter a lot. My grammar and thought stream is not great and that is the main thing I use a model to clean up, but it is still collaborative to some extent.

I feel like there is an enormous range of stories to tell and that AI only makes these more accessible. I have gone off on tangents many times exploring parts of my universe because of directions the LLM took. Like I limit the model to generate a sentence at a time and I’m writing half or more of every sentence for the first 10k tokens. Then it picks up on my style so much that I can start the sentence with a word or change one word in a sentence and let it continue with great effect. It is most entertaining to me because it is almost as fast as me telling a story as fast as I can make it up. I don’t see anything remotely bad about that. No one makes a career in the real world by copying someone else’s writing. There are tons of fan works but those do not make anyone real money and they only increase the reach of the original author.

No, I think all the writers and artists hype was all about Altmann’s plan for a monopoly that got derailed when Yann LeCunn covertly leaked the Llama weights after Altmann went against the founding principles of OpenAI and made GPT3 proprietary.

People got all upset about digital tools too back when they first came on the scene; about how they would destroy the artists. Sure it ended the era of hand painted cartoon cell animation, but it created stuff like Pixar.

All of AI is a tool. The only thing to hate is this culture of reductionism where people are given free money in the form of great efficiency gains and they choose to do the same things with less people and cash out the free money instead of using the opportunity to offer more, expand, and do something new. A few people could get a great tool chain together and create a franchise greater, better planned, and more rich than anything corporations have ever done to date. The only thing to hate are these little regressive stupid people without vision, without motivation, and far too conservatively timid to take risks and create the future. We live in an age of cowards worthy of loathing. That is the only problem I see.

I use the term myth loosely in abstraction. Generalization of the tools of industry is still a mythos in an abstract sense. Someone with a new lathe they bought to bore the journals of an engine block has absolutely no connection or intentions related to class, workers, or society. That abstraction and assignment of meaning like a category or entity or class is simply the evolution of a divine mythos in the more complex humans of today.

Stories about Skynet or The Matrix are about a similar struggle of the human class against machine gods. These have no relationship to the actual AI alignment problem and are instead a battle with more literal machine gods. Point is that the new thing is always the boogie man. Evolution must be deeply conservative most of the time. People display a similar trajectory of conservative aversion to change. In this light, the reasons for such resistance are largely irrelevant. It is a big change and will certainly get a lot of push back from conservative elements that collectively ensure change is not harmful. Those elements get cut off in the long term as the change propagates.

You need a 16 GB or better GPU from the 30 series or higher, but then run Oobabooga text gen with the API and an 8×7b or like a 34b or 70b coder in a GGUF quantized model. Those are larger than most machines can run but Oobabooga can pull it off by splitting the model between CPU and GPU. You’ll just need the ram to initially load the thing or deepspeed to load it from NVME.

Use a model with a long context and add a bunch of your chats into the prompt. Then ask for your user profile and start asking it questions about you that seem unrelated to any of your previous conversations in the context. You might be surprised by the results. Inference works both directions. You’re giving a lot of information that is specifically related to the ongoing interchanges and language choices. If you add a bunch of your social media posts, it is totally different in what the model will make up about you in a user profile. There is information of some sort that the model is capable of deciphering. It is not absolute or like some kind of conspiracy or trained behavior (I think), but the accuracy seemed uncanny to me. It spat out surprising information across multiple unrelated sessions when I tried it a year ago.

Yeah it looks complicated. I’m seeing lots of FPGA projects in skimming around.

When tech changes quickly, some people always resist exponentially in the opposite vector. The bigger and more sudden the disruption, the bigger the push back.

If you read some of Karl Marx stuff, it was the fear of the machines. Humans always make up a mythos of divine origin. Even atheists of the present are doing it. Almost all of the stories about AI are much the same stories of god machines that Marx was fearful of. There are many reasons why. Lemmy has several squeaky wheel users on this front. It is not a very good platform for sharing stuff about AI unfortunately.

There are many reasons why AI is not a super effective solution and overused in many applications. Exploring uses and applications is the smart thing to be doing in the present. I play with it daily, but I will gatekeep over the use of any cloud based service. The information that can be gleaned from any interaction with an AI prompt is exponentially greater than any datamining stalkerware that existed prior. The real depth of this privacy evasive potential is only possible with a large number of individual interactions. So I expect all applications to interact with my self hosted OpenAI compatible server.

The real frontier is in agentic workflows and developing effective niche focused momentum. Any addition of AI into general use type stuff is massively over used.

Also people tend to make assumptions about code as if all devs are equal or capable. In some sense I am a dev, but not really. I’m more of a script kiddie that dabbles in assembly at times. I use AI more like stack exchange to good effect.

Zero. Become partially disabled for over a decade and you might understand. Sometimes surviving is worse than dying. You might become a different person you might not, but you will likely discover how everyone in your life is largely there in relative orbits. If you get knocked out of the stellar system, what you thought of as the planets that grounded your social world will not leave the star to chase after you no matter how much you need them to.

The trans stuff. Their sociopolitical issues seem more solvable than my own. It gives me hope or something like that despite my issue being physical disability.

The only fundamental issue with the CPU and tensors is the L2 to L1 cache bus width. This cannot be altered and maintain the speed. This is not a real issue in the grand scheme of things. It is only an issue with the total design cycle. Don’t get sucked into the little world of marketing nonsense surrounding specific fab nodes and whatever spin nonsense the sales fools are pedaling. Real hardware takes 10 years from initial concept to first market availability. Nvidia was lucky because their plans happened to align with the AI boom. They could adjust a few minor packaging tweaks to tailor the existing designs in the pipeline to the present market, but they had no prescient genius about how AI would explode like the last two years. Such a premise assumes they began the 40 series knowing about the AI boom in 2012, nearly 4 years before OpenAI was founded.

The FPGA does not work for AI. It does not scale like you assume and the power required is untenable. You can find information about Intel/Altera AI researchers that were well funded and traversed this path before the constraints were discovered. You need simpler architecture with a lower transistor count. This is like the issue with static RAM versus DRAM. Static is functionally superior in nearly every way, but it simply can’t scale due to power and space requirements.

With tensors all that is needed is throughput. That is a solvable problem. Single thread speeds in CPUs is a sales gimmick and nothing more. Your brain is a much more powerful biological computer and operates on 3 main clocks the fastest of which is only around 100 Hz. Parallelism can be used to create an even faster and more rich user experience than the present. This is the future. The dual processor paradigm has been done before in the x286 - x386 era and it failed because data centers rejected such a dual processor paradigm in favor of slightly better hardware that was nearly good enough. This is the reality of the present too. Any hardware that is good enough to do both workloads will be adopted by data centers and therefore the market. This is where the real design edge is made and all consumer products are derived.

None of Nvidia’s products are relevant 8 years from now. They are a temporary hack. This is why they must use their enormous capital to buy a new future beyond the GPU, and they will.

Think in terms of military. x86 is dead in its present form. The GPU is a hack. The real future is a single product that can do all compute tasks. Taking Intel will make the US gov happy. It gives Nvidia a real future beyond the GPU boom of the present.

You’re thinking about the present. I’m thinking about 10 years from now where the real design edge is at. Nvidia has had a lot of luck and good leadership. Intel has had the exact opposite and is stuck in the past.

Intel is getting bought by Nvidia. It is inevitable I think. It just makes sense.

I think authoritarianism is a giant mistake and only creates duplicitous behavior. In my opinion tracking is ridiculous. None of us existed like this and ended up fine. In my opinion, all of this nonsense is acting as a stand in for relationships and real parenting. Humans make decisions and develop ethics based upon trust and autonomy. By stealing that factor of trust and autonomy, and replacing it with authoritarianism a parent is stunting the child’s growth of independent ethics and character. Make compelling discussions of why they should do whatever thing, but let them decide their own path. The lack of compelling discussions and real trust that requires risk is a major factor in the problems that exist in the present world.

The one time you actually need to know where your kid is at because something has happened, you will not know because you have taught them that the only path to independence is to turn off the device and put it into a Faraday cage like pouch, or someone else will do so. If you have a fundamentally trusting relationship with open dialog and respect for their autonomy, they will tell you openly exactly where they are going and any potential for danger. If you can handle that information without allowing anxiety to overwhelm reasoning skills, you will be in a far better position to help them if something bad happens.

The most long term valuable aspect of schooling is the development of one’s social network and connections, along with the habits and ethics. The actual information learned is rather limited in valuable application in the end. Who one knows and how one appears to others is of far more value than what one knows. For these reasons, there may be value in corporate social media. Simply teach the kid to understand how these places are both a trap and a tool. A trap, in that many of the smartest humans are manipulating users in ways that are nearly impossible for the users to escape. Never invest emotions into such a trap. Use the tool if needed for external social benefits, but use it as a manipulation tool with a layer of disconnect from who you really are. Teach them to use a work profile to isolate any apps from their device. That is just how I look at the issue.

My neighbor spent around 3 hours calling around to track down a source today. The wasted time and money that represents is the only crime I see. Don’t go talking about it or selling it, but whatever a person does in their kitchen for their own needs is none of my business. The wasted time is theft and therefore criminal actions against common people with no recourse. There are likely millions of victims of this crime.

People should just start sharing and making their own IMO. Open source that shit because the gov has failed. I’m surprised more Luigis are not happening yet. No one can stop a motivated lone wolf attack

Real question is if the software/firmware is open source. They have no incentive to maintain a orphan kernel long term. Any hardware without mainline supported kernel modules, and with a 3rd party reputable maintainer for each should be a no-go.

Most key stuff is not on GitHub or GitHub is just a mirror. The heir apparent to Linux is Hartman and he moved to Europe a long time ago.

No mobile devices are safe. Those are all proprietary black boxes for hardware. If the shit hits the fan, it is back to dumb phones and x86 computers. Digital doomsday prepers are not sounding all that crazy right now IMO.

I have gotten weird interactions with rate limiting through GitHub because I will not whitelist their stalkerware collector server. They also pushed 2 factor to stalk and exploit through the only documented path they wanted people to take. I quit because of it.

I don’t think they will get the heat out and will end up having premature failures with GAA.

Now when replacing ink cartridges your handheld bricks too

It is more complicated than just price. It is ultimately an intuitive self awareness and scope thing. People lack depth to understand the details or ask others that do understand before they make a purchase. The majority of people are more oriented towards interpersonal interactions and experiential aspects of life in their fundamental functional thought. They struggle to see detail and nuances or question fixation and biases.

We still live in the early era of human tribal primitivism when it is quite easy to exploit tribal stupidity on multiple fronts. For some it is fixation from initial exposure or emotional brand perception, others it is impulsive availability, for others they are masochistic misers. Abstractive thinking and understanding is rare in humans, and the majority do not understand it or value it in others.

Walmart bikes are targeting misers first, but spontaneous availability and access, along with controlling the perception of what the low bar of the market is are major factors as well. Each of these three factors exploits a specific niche. Walmart is a rogue wholesale distributor selling directly to consumers using massive capital. They are privateers (legal pirates) in the retail market as are most big box stores. Piracy has always been a nice short term business model for gains. It just happens to be true that people of today like being raided raped and pillaged so long as it is done slowly enough without violence, the ship looks pretty and the pirates wear a suit. Even worse is when pirates become entrenched as monarchs and feudal lords. This is the next step in the evolution when piracy is normalized. Welcome to neo feudalism.

It is simply an entry level thing. You will find this in every market.

In a bike shop retail market I can sell you a serviceable bike for $500 that will last, or an $800 road bike you’ll actually ride. Still the majority of bikes sold come from places like Walmart where they are made of unserviceable junk and are mostly nonfunctional. These are rarely ever ridden and often thrown away. In the shop I’ll sell 20:1 on the cheapest model to the next options up the ladder.

It is strange to adapt to this kind of understanding at first, like just how skewed the real market is. I can target selling to clubs and teams but I can’t touch the the garbage bike market where most people reside.

I think we are at a point where the influx of people into 3d printing are not real Makers or have any aspirations to be.

The reality is that people are often simply stupid. They seem to think that saving a few bucks here or there is smart but are not bright enough to see that everyone doing the same thing are buying the junk product over and over. There is nothing more expensive than being a cheap miser.

Ultimately, the only person that can fix stupid is ourselves. One can only inspire others to learn but can never force them. You cannot fix stupid in others. In the USA, stupidity is political currency and we have a long tradition of poor education and standardized exploitation. It is the American dream.

I think LDO and Voron are the only super relevant open source torchbearers.

The pixel has a TPM chip (Trusted Protection Module). This is a device that has an internal cryptographic key set that can never be accessed outside of a lab with access to the die, like using red fuming nitric acid to get to the die without damaging the gold bond wires – type/class of access.

The internal key of the device is used to create any additional keys you would like to make. It can also test the validity of any key it has generated and check the hash of any file. Hashing a file is ensuring it is unchanged using a key to ensure no one in the middle has altered or added to the file.

Graphene uses this TPM chip to create a chain of trust with the device. It is essentially like secure boot on a computer. Anyone with control over a key like this is able to make changes to your device.

No mobile devices contain documented hardware for the system on chip or the modem. Both of these are black boxes. Obviously the modem is a big concern. Google/Android is a scheme to make it as easy as possible for hardware manufacturers to build with Android using a kernel that only needs the hardware support binaries added at the last possible minute. There is no source code available for these binary kernel modules. The code is never added to the mainline Linux kernel. This is the mechanism used to deprecate your devices. These are orphaned kernels that are proprietary and cannot be properly maintained and updated because of these kernel modules for the physical hardware. The hardware is different enough that no one can reverse engineer it effectively and transfer that effort to other devices.

You can never completely trust this hardware. We simply do not know what is there and what it can do. However, with a TPM module, we can make it irrelevant and simply discard any interaction or activities we do not understand. We can also verify that none of this hardware is altering or interfering with the OS or files on the device. Any changes will alter the result of the files hash. The inability to access or modify the TPM hidden key and its existence outside of the SoC is the reason Pixels are used and why other devices are insecure.