A good showcase how easy it is now for LLMs to build these visualizations when the data is structured and available publicly - with the structured and publicly available parts being the main gatekeepers.
4,342 karma · joined October 11, 2023
The original quote follows with "AI", but it should be clear by now that you could put any topic here and the main issue is: private conglomerate money trying to control people.
And the remedies are well known: breaking corporate power and power concentrations through 1950s style regulation, as it was deployed against the robber barrons from back then and which resulted in a golden age for America and the world.
it should be clear by now: the alt-man and people like him are a utter liability to humanity. (even though openAI's influencer army is trying their best to vote me down here)
No wonder he relies on hype and manipulating social media mainly, as all actual scientists have left openAI years ago when they found out who Altman really is and unfortunately unsuccessfully tried to remove him.
What oAi nowadays attracts is unfortunately not the prime talent like in the beginning that were in it for a better world, but semi-talented virtue-signaling people who are attracted by the compensation and name recognition and, as we have seen it quite a few of their recent "innovation" claims, don’t mind misinterpreting, mislabeling and outright copy/steal other people’s innovations and putting big IPO-associated oAi stickers on it without deserving any of it.
Giving up the best soft-power levers they had in an attempt to replace them with coarse, obvious and ineffective hard-power beat-sticks is not only foolish but history shows never works well or long term.
That means designing the ecosystem pressures is crucial: things more meaningful than just pure capitalist private-profit logic must by enforced by thoughtful regulation or otherwise the ecosystem converges for private-profit of a small sliver of individuals (billionaires) to the detriment of all other ecosystem members (99% of the world population).
This holds for anything broader than pure private gain, may it be security, social fairness or ecological topics. Sole monetary-value optimization for private gain must be properly constrained or else it results in pure predatory capitalism that implodes society from within, may it be through leaky security, poisoned environments or social unrest.
In any case, user experience and the original ethos the company was build around has been lost for a long time, and enshitification by greed seems the ultimate outcome for every company that is traded publicly or equity funded.
Would be about time we get benchmarks for these ... so these can also be gamified just like with the LLMs.
It's important to fight it now before it is too late and other places also fall apart into a degraded, predatory, dystopian US system !
If everybody would just agree to start their open source code as something like source-available or OpenRAIL -requiring companies with more than $5M in annual revenue to pay for the work - we wouldn't be in this situation.
> This example matters beyond Bend, vibe-coding makes it makes it far too easy to implement a design that’s horribly broken or decades behind the current state of the art because you can immediately get a result without ever having to do any research. If you ask a LLM for a language where it’s possible to prove that a function is formally correct by building up a proof from basic principles then it will happily do so, it will never stop to suggest to you that computers can already build complex proofs without the need for a LLM and eliminate 99% of the work. It will never tell you that what you’re building already mostly exists as work that you can build on.
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That's why all your LLM requests to build something substantial should start with "run prior work research first". Of course, at some point everything converges (if we share our outputs open-source) and then we may have solid standard patterns and libraries and do not need to waste trillions of tokens globally to rebuild the same minor, fundamental things, each one in their silent little silo.
IF we share, it will be of course to the monetary detriment of LLM providers who will have less income overall, and of course now they can't repackage anymore all our collective input, thoughts, human 'thinking traces' that they collect in their meta-data, as their new 'innovations' any more to inflate IPOs / stock prices.
> The entire timeline from initial discovery to access to OpenAI repo access took place in less than 72 hours.
Great, and openAI's the company working with the 'department of war' to power autonomous killer AI.
Asymmetric it is indeed, but against cyber defense, especially the bigger the org/company the more inert it is.
And one thing we can agree on is, that there's a tiny fraction of entities that have best practices put in place, airtight, as you would need them.
Again, I really which it wasn't like that, but the trajectory of cyber penetrations is telling a different story.
The path forward all big llm providers ("ai" labs) have gone is neuro-symbolic (even though they publicly would never labeled it as such to not admit critics like Gary Marcus were right - even though all their actions actually point in that direction).
> NEW YORK (AP) — Among dozens of companies competing for Pentagon contracts to supply attack drones, one stands out.
> Powerus is flush with cash and ballooning in size as it buys up rivals and has one other advantage: It is partly owned by President Donald Trump’s two oldest sons.
> The latest Trump venture is hoping to win some of the $1.1 billion set aside by the Pentagon to build up a U.S. manufacturing base for armed drones now that the Trump administration put a ban on importing them from China.
https://apnews.com/article/drones-eric-donald-trump-powerus-...