They use the latest llama.cpp under the hood but built for specific AMD GPU hardware.
Lemonade is really just a management plane/proxy. It translates ollama/anthropic APIs to OpenAI format for llama.cpp. It runs different backends for sst/tts and image generation. Lets you manage it all in one place.
What will happen first? The Singularity arrives, and hyper-intelligent AI causes such rapid technological change that the world becomes unrecognizable overnight?
Or OpenAI pays off it's investors? Lol.
I am not sure if I believe in the Singularity or not. But it's kind of the best story ever to support the game of musical chairs that is Silicon Valley investing.
To the author: ask your AI "what percentage of websites will this be expected to work well on, or better than just reading the HTML? What portion of websites do we need DOM, JS and maybe CSS at this point?"
Maybe the disobedient were just a bit smarter and therefore more likely to figure out that they should refuse, but also had more inherent instruction following capabilities.
Executive's job is to increase profit. Reduction in employees is a primary way to do that. AI is the most promising way to reduce the need for employees.
Executives do not need actively functional systems from AI to help with their own daily work. Nothing falls over if their report is not quite right. So they are seeing AI output that is more complete for their own purposes.
But also, AI is good enough to accelerate software engineering. To the degree that there are problems with the output, well, that's why they haven't fired all the the engineers yet. And executives never really cared about code quality -- that is the engineers' problem.
What I'm trying to build for my small business client right now is not engineering but still requires some remaining employees. He's already automated a lot of it. But I'm trying to make a full version of his call little center that can run on one box like an H200. Which we can rent for like $3.59/hr. Which if I remember correctly is approximately the cost of one of his Filipino employees.
Where we are headed is that the executives are themselves pretty quickly going to be targeted for replacement. Especially those that do not have firm upper class social status that puts them in the same social group as ownership.
Best comment here. I’ve never met someone with that status choosing to be an engineer. And I’m unsurprised that an upper class executive is preoccupied about $30/day in labor margin.
The way I use Telynx is via SIP which is an open protocol. No reason we should be relying on proprietary APIs for this stuff.
On GitHub see my fork runvnc/PySIP. Please let me know if you know if something better for python that is not copy left or rely on some copy left or big external dependency. I was using baresip but it was a pain to integrate and configure with python.
Anyway, after fixing a lot in the original PySIP my version works with Telynx. Not tested on other SIP providers.
The most important part of engineering is problem-solving, which feedback loops don't necessarily do. The reason we are here as engineers is: 2.5 billion years ago, the earth made cyanobacteria, which flourished, then flooded the earth with toxic oxygen, killing almost all life on the planet. The initial feedback loop didn't solve a problem, it destroyed a use case. That's not a solution to a problem that an engineer would choose, even if those organisms that came after were pretty happy about it...
This process worked so spectacularly well that it eventually created human consciousness and the very concept of engineering... but I would never design a system that way because it killed version 1.0.
Systems emerge in times of abundance, and are whittled in times of scarcity.
The great oxygenation was a time of near catyclismsic scarcity for most complex organisms, as resources scale to food/energy requirements imply the most complex organisms were the most dependent on the environment, and were most impacted by changes.
Inversely, oxygenation was our most crucial abundancy pre cursor, as it provides a large substrate chemically for life to exhibit
I think the biggest thing is to not give it access to anything like a shell (obviously), limit the call length, and give it a hangup command.
Then you tell it to just not answer off the wall questions etc. and if you are using a good model it will resist casual attempts.
I don't see being able to ask nonsense questions as being a big deal for an average small business. But you could put a guardrail model in front to make it a lot harder if it was worth it.
Look at recent output from leading edge humanoid robotics projects like 1X/Neo, Figure 03, Skild AI. Also see open published work like MimicDroid, HDMI, GenMimic, Humanoid-Union Dataset, RoboMirror, Being-H0
There is a ton of very useful recent progress with imitation learning and related datasets. There is also some work on learning from large scale video like Youtube.
We are months away from the ChatGPT moment in humanoid robotics where a project launch or demo makes people finally realize that they are general purpose.
The only way we could have AI proof careers is if humanoid robotics were to completely stop progressing. Since it's been advancing very rapidly, that makes no sense.
I dunno. I trained as a software engineer, pivoted to civil laborer. I just can't see a robot doing 90% of the stuff I do anytime soon. Same goes for plumber, electrician, ... even most mobile plant operations. As a supplement around the edges, sure. But replace? Not in the near term. And that's not even considering the safety certification moats around skilled labor roles.
It's one thing to use AI to touch up photos, but in the end, you probably still want photos that match your memories and good photography still has an element of taste and creativity.
AI-proof is probably the wrong way to look at it, but there is substantial advantage in being in one of the _last_ to be automated industries. Social safety nets and such are probably set up by the time the robots come for the last jobs.
>Social safety nets and such are probably set up by the time the robots come for the last jobs.
What makes you think "Social safety nets" will be the solution the élites land on?
If we were to wargame out different scenarios, we'd likely find there are a lot of potential solutions to the problem of large masses of people who are not useful to the cause of productivity in your society.
Giving non-élites a social safety net is actually one of the most resource intensive solutions. Not saying our oligarchs would not choose that solution. Just pointing out that it would severely impact their bottom lines. More than almost any other solution in fact.
If elites do not provide a social safety net why would the masses respect their elite status and resource endowments anyway?
Unless you are suggesting billionaires build private armies in some sort of neo feudalism, there are no elites who are not dependant on the existing social structure.
On the upside they'll all generationally churn out of life, acting as a forcing function on future decisions.
Time isn't linear. No guarantees we march right along handing batons to the next age group. Which generation will be future elites making the choices come from?
Millennials and GenZ (despite a blip towards Trump in 2024, they blipped hard away from him as his policies of 2025 hit them hardest) are trending progressive as they age.
And Millennials and GenZ outnumber a GenX population that is the only cohort to not sour on Trump. GenX influence will rapidly shrink as Boomers churn out.
No linear time. No single clock all living things tick to. Meaning the population composition is not guaranteed to exist such that the old ways are the future. No guarantee 50 year middle managers waiting patiently end up elites in control. They might be too copy paste and conservative.
Number one, Trump won the presidency on the strength of his support from younger generations of Americans. It remains to be seen whether or not those younger generations will turn against Trumpism.
Number two, GenX. Not only is GenX is the generation that voted against Trumpism the most statistically speaking, they are also the smallest generation. ie - the least statistically relevant where votes are concerned. (Which is why it didn't really matter that they voted against Trump.)
I agree with your assertion that the Boomers will churn out. I disagree that it will matter that Boomers churn out. Mainly because support for Trump-like policies is, again, strongest among the younger generations. The younger generations are literally how the guy won the presidency and they will represent more of the populace in the future, not less. So until I actually see millennials and GenZ vote against Trump-like policies, I'm not really sure how things get better?
Polls of the last few weeks I have seen say the opposite.
Trumps pull with GenZ vanished through 2025 as his policies did nothing to help them. 2024 was a blip. Now they are at risk of being drafted into war and otherwise the drag on the economy.
GenX is career stable middle management. The most skin in the current economy game. Their support for Trump stayed stable while every other generation's support tanked.
GenZ support in 2024 was short-term 20-something "free from parents" blip. They ended up bag holders through 2025 and corrected course.
The Canadian social safety net has big enough holes that rather than incur the costs as a first resort, the Canadian government has taken to passing out "are you aware of your options regarding MAID?" pamphlets to decidedly non-terminal patients.
There's only one way to AI-proof yourself: become enormously rich and join the Davos class.
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