wuschel

Seconded. Also curious to know.

Hard disagree on the oversimplification. Drugs with R&D, certification and production belong to the most complex and hard product classes.. they are nothing like software.

Picking the right drug is a lottery game in itself that involves portfolio strategy, biologic modeling of your product efficacy and safety, optimization of yields, and "field testing". Then you still have to build the right distribution channels to the patient and find someone to pay for your product. Even reproducing drugs is not a trivial thing, as you need to re-certify production plants. In the case of biologics it is even more complicated.

Unless we burn enormous amounts of cash or set up specific incentives, there is not way we can bring primary socially motivated drugs to the market with the current risk structure of the industry.

Pharma is one of the most complex playing fields there is. The sad thing is that we might strongly overstimate the ability to significantly improve the development of new drugs through AI in the next 10 years.

I guess that is why Antrhopic et al are moving against Software Consulting services like Accenture, Deloitte, et cetera [1].

[1] https://dealroom.co/news/165341-anthropic-backs-its-first-eu...

Curious - how, if I may ask?

There are provisions in the German federal and state constitution and law that are there to actively combat anti-constitutinal activity. These are lessons from the Weimar Republic. 1% or 50%, does not matter. Either you play by the rules of the game, or you risk being exposed to the sanctions that be.

Hmm. I will bite.

We have to see this through the lens of modern German history, and the corpus of rules (and lessons from history) that allowed the German Federal Republic to become an independent state again. I think this is not about saying things, but about saying things that foreshadow an attack on the constitution, and then perhaps very likely damaging the institutions of a country in the future.

A democratic state is a suboptimal construct. Once the politcal damaged, it is not easily repaired (See: Some countries East of Germany).

Not sure why you get the downvotes. There is indeed a strong barrier towards making a party illegal in Germany.

It is hard to understand how countries work. Whether France, US, Germany or China, these are very different animals. It is also tricky to be well informed regarding the struggle for power in politics, since this is not material that is properly explained in every day press publications.

This is a genuine question to probe the solution space to the politcal problems in Germany: What do you think would be the right thing to do THIS time?

Maintaining a balance of power between legislatory, judicatory, and executive organs, a system of free speech, securing fundamental constitutional citizen rights, and the enablement and guarantee of peaceful power transition is core to democracy. In addition to that, there is an federal power distribution axis in Germany.

Looking at historical precedents that tried to undermine this kind of democratic political system (e.g. PIS in Poland, NSDAP in Germany), the political systems were damaged (and are still not repaired) or outright hollowed out.

I think it is important that a dialogue exists in society, Even the radical parties have a chance to exist and represent the political opinion and direction of their voters. However, I think it is even more important than these parties stick to maintaining the very political system that they allows them to exist.

The AFD might not be such a party. In time, democratic state organs might be hollowed out, and an apartheid system might be installed in Germany.

It is worth fighting to maintain a suboptimal free political system than to succumb to madness. At least - in part - we can keep the idiots in check.

Regulatory capture - I tried to bring this up in another comment of mine, but not much resonance.

I wondered if many a press article seen in media re security breaches and LLMs based hacks are not in part at least campaigns to legitimize regulation.

How would regulatory capture of LLM realistically look like? Do you have any ideas here?

"Sorry, this content is not available in your region."

Why is that the case? Logged in from DE atm.

Hey, thanks for the interesting points.

To 1. I agree that they disclosure is better than non-disclosure. Then again, aren't they using their models in a mode seems to statistically allow for 'rogue incidents'? These are not bugs, after all, but normal statistical behaviour of their product.

To 2. Well, that really depends on the regulations. In fields highly complex technoligies with a large contact surface to risk like medical devices, airliners, rockets, regulations are indeed a hindering factor for smaller players to get hold of the full vertical development potential of their product. AI could become a candidate like that too - imagine some multi phased "AI internet trial" for this kind of technology, no more risky open weight model being allowed to access the internet.

To 3. You are referring to the high development velocity and impact, right?

AI mischief all over the news - I wonder if this is part of a media campaign to generate the perception of a need for AI regulation to increase the probability that the big AI model companies are on the road to generate the right returns on investment. Regulations certainly might hamper free model deployment or smaller players.

What are your thoughts about it?

I would argue that the "fastest moving and most effective organizations" trait is relative to what we find in the set of software develepment groups. There must be a difference in code quality and development speed between the best and the slowest player, and there must be some parametrizable difference in standards (if there are any) the players operate with.

What would they be?

Hello chronobiologist. First time I read that noun, and had to look it up on wikipedia. Very interesting domain of sciences. What are you working on? What methods are you using?

- UPS routed a some package delivery through China despite instructions not to do so

- China seized the package and refused to give it back

It seems most of them are converting radar wave energy to thermal energy or generate destructive wave interference. Not sure what makes this coating so special.

I had the pleasure to speak to your former COO - so glad your organisation exists and publishes its amazing work!

I did not try it, and I am nervous the day I need to - but I think there are some solutions to export photos from the Apple technology stack using open source software [1,2,3].

I remember seeing a longer blogpost re the topic of retroengineering the Apple phot sync story, but I could not find it.

[1] github.com/rcarmo/PhotosExport [2] https://github.com/craigtrim/icloud-photo-export [3] https://icloud-photos-downloader.github.io/icloud_photos_dow...

The main difference total other laptops of non-Apple make is/was unified memory (graphic VRAM + RAM) architecture. No need for an extra dedicated graphics card to get 64+ GB VRAM.

> But IKEA is more often than not more than sufficient quality.

I am not so sure about that. There are some product lines that are somewhat OK price/quality e.g. IVAR seems to be OK. But most IKEA products are too much optimized optimized on the cost side for my taste. The good days of "wooden furniture" is over.

Ha, cynicism indeed. I know where you are coming from.

There is a base level of quality a certain kind of customer is expecting in a product before considering it to be worthless trash.

Let's stick with the cynical position and assume that the code has to run, at least do what it is supposed to do, some time on Monday, part of the time.

When reading posts like this, I am really curious how organisations control for quality.

With an 10x amount of output you 10x the amount of failures at constant production quality. Did you put improved processes into place?

Makes sense re Deepmind. I also guess it is easier to train an AI using Deepmind approach on the Starcraft 2, Go, or other more closed systems than in the rather open business world with all those rules that need to be interpreted by a human judge in case of problems.

Good point re expert systems. I need to look up what actually made them fail, or how they are not scaling.

Have you been working in the space?

> My favorite part of AMT is always going to be figuring out that if we only paid in $0.07 intervals,

That is hilarious! Was it a semi-random discovery due to interaction with the system and people, or did you intentionally looked to game the algorithm?

I am actually with you here. Such a system probably needs to be battle tested in a specific domain of business to see where the deficiencies at this stage are.

The way you have expressed it there are optimized workflows not only the managerial/executive, administrative, content producing set of workers, but in almost every profession, encoded in beaurocracy, checklist, best practices and culture: doctors, care workers, lawyers, policing ...

The question is how well language models have internalized the optimal decision pathway and mitigating strategies to deviating circumstances. What data do they have to be trained on? If an AI defeats the best Go players in the world, surely it is a good question whether they can exceed in games with large unknowns such as business administration.

As mentioned somewhere else in this thread, the moral and ethical layers is where some of the challenges of these system can be found.

I have no experience with data on bad and good CEOs depending on their working context.

At this stage, this seems to be a demo, albeit an interesting one. I find the concept still very intriguing, as it is exactly the thing that attacks white collar functions in administrative and executive tasks sets. I need to give it a spin.

I know. It hurts. But I have the feeling that you get what you pay for.

The purchase cost of H100 or B200 systems with comparable VRAM is a one order of magnitude higher. Although I can only guess how much lower the token/sec output of the Mac Studio will be. Probably 2-3 magnitudes lower?

While a cluster has to work with many users simultanously, and is a good investment for a company, perhaps the Mac Studio will be a good use case for a personal larger LLM deployment configuration.

Perhaps someone has the token/sec numbers for larger models running on older Mac Studios?

> the most productive people with AI on my team are the two youngest. They don’t have product wisdom, yes, but the gap is so noticeable

Is it Software or another problem domain? What problem are they attacking, what stack/method are they using?