Corporate lawyer at big law firm here. I believe the model will be like this: we will review your 1000 agreements but with AI. AI is generally accurate but has some risks, if you agree we will charge you less. The client will agree. Instead of spending 300-400 hours to review the ageeements AI will do instantly. A lawyer will spend the time on reviewing the red flags identified and draft a report. We already do the same with translation. Before computer translation became good (i.e pre-Deepl era), we used to translate documents (cease and desist letters, court petitions etc.) ourselves. Now we offer AI translation free of charge. If client wants reliance on the translation we charge a small bit. Lawfirms are also under pressure for meeting internal budgets. Most clients ask for capped fees. If you charge 10k for a job to a client and the hourly costs ramp up to 20k, the management criticises the partner, the associates become unwilling to work for the partner (as their hours get written off). So with AI law firms can bet more competitively as the cost (human attorney hours) are reduced.

Lawyer here. I used to trust Claude as hallucinations are near non-existent now. However for large volume tasks such as due diligence exercises, they still happen. We also tried Legora's tabular review, there were also numerous halucinated provisions in our due diligence exercise.

Is it possible to catch those hallucinations using another LLM with a strong fact checker prompt with sources provided in output for human validation?

Junior associates hallucinate too...

And when they do, you can train them or fire them, and they learn not to do it.

LLMs change not a whit, and there's no one to take responsibility for the failure (and thus no way to fix it).

As the new variation on the old theme has it, "A computer can never be held accountable, and so very many people are trying to get them make management decisions."

You can’t train people to never make a mistake, particularly when doing highly repetitive work like this. You must build your systems to account for that regardless.

Yes, exactly. Humans are non-deterministic as well, just in different ways. A tired human can make all sorts of errors for example, regardless of how much training they've had.

For sure.

But they do learn and improve.

The models don't (yet).

The models improve in the sense that GPT 5.6 succeeds at things GPT 5.5 fails at.

It might be that the models have been improving in this sense faster than a human child improves.

> LLMs change not a whit, and there's no one to take responsibility for the failure (and thus no way to fix it).

LLM output is nondeterministic and humans take responsibility for the failure the same way they take responsibility of a photocopy is too dark.

> humans take responsibility for the failure the same way they take responsibility of a photocopy is too dark.

You mean, they notice it's too dark right after making it, change the settings, do it again, and give you the good copy?

Because yes, that's my experience of humans.

You can scold juniors and they will learn. You can't scold Claude.

Surely the rate of improvement in new LLM models is the equivalent mechanism?

You can scold Claude. Just doesn't make a difference.

... until you hit Claude's risable "model welfare" protection.

There is a huge gaming community who use these processors to emulate gaming consoles and windows games. I am still amazed I can emulate PS2 and Switch games with upscaled resolution on my S25 Ultra.

Ketoacidosis can also happen with stable blood sugars if you don't get enough insulin. There were people rationing insulin due to cost and some of them died of DKA even if their blood glucose was perfectly stable. Another possibility of DKA with good blood sugars is when you are sick. I think this data would be helpful.

Yea I'm all about finding the uses for this after the fact. However, it seems unlikely that people who are struggling to afford (or get insurance to cover) insulin would be able to afford a cgm or cgm/ckm in this scenario. Also not sure how it's possible to ration insulin and keep your bg stable, but I wouldn't put it past the most skilled T1s out there. In the sick w/ flu case, thats true, but then whats the treatment action? I still think euglycemia + DKA is an edge case.

To ration insulin you limit eating carbs. If you don't eat, you need less insulin.

Treatment for DKA as far as I kmow is to give glucose insulin and potassium.

For example if you have a stomach bug and can't keep down anything you are at risk of developing DKA even if your BG is normal.

The thing is how do we know we are starving the body of fuel. Most diabetics (me included) are told not to exercise if bg is higher than 250mg/dl, but that is it. We hit over 250 mg/dl frequently and sometimes stay there for multiple hours (infusion set problems, fatty food etc.).

T1D athletes report that they eat a lot and take a lot insulin before/after training and they say they get tired very easily if they don't. They thought this as restoring the glucogen reserves in muscles but maybe it is about fueling the body.

I sometimes feel uneasy even my bg is okay and it had led me to panic attacks. Now when I think it could be raised ketones, or just anxiety.

Knowing the ketones would be helpful.

https://journals.sagepub.com/doi/10.1177/11795514261431390

Yes, this is true. There were also news about some Americans rationing insulin due to cost. Their blood sugar levels were normal, but they had high ketones and unfortunately died of DKA. When I got first diagnosed, we were given ketone urine strips and told to use them, with the advance of glucometers, we forgot about ketone testing.

Minimed 780g user here, it is not perfect. For a true closed loop we need a system that can give glucagon as well. The current closed loop only gives you insulin to lower your blood glucose. When it gives too much it wakes you up and asks you to treat it. You also have to accurately count carbs of meals you eat, enter when you exercise. The sensors are also not quite reliable so sometimes it freaks out and you calibrate and go manual.

For a closed loop we need insulin and glucagon in conjunction to keep the bg stable without user intervention.

All closed loop systems require human action--maintenance,filling reservoirs, changing sites, dealing with the inherent variation of CGMs, estimating carbs, etc. even if glucagon delivery were on board (it's being worked on). But most are generally providing insulin delivery in real time, based on CGM data.

Also, I agree--glucagon would be a useful thing onboard for T1d, but not really for T2d, because (as you know) the essential problem there is highs, not lows.

And I definitely agree about CGM accuracy: most people don't know that there's a significant margin of error in all CGMs. It's 'close', but not precise.

I'm a parent of a T1d kid.

I built open baffle speakers based on measurements and discussion I had with Claude. I think it is really good.

I am a novice, maybe that's why I liked it.

I think you are confusing Erdogan with Imamoglu. Imamoglu has photographs, classmates, there is no doubt that he attended college. His diploma was anulled because he transferred initially from a different college. He spent 4 years at the Istanbul uni, attended classes, passed the exams, there is no doubt in that.

On the other hand, Erdogan does not have a single photograph during his university years, no classmates to back his story. He started a two year degree, but there is no evidence he attended a four year program. A public notary issued a same as original certification on a disputed document. The original diploma of erdogan cannot be found. Looking at the date of the diploma, the university faculty didn't even exist yet.

I am not confusing anyone with anyone, just discussing the linked Wikipedia article. A few quotes:

>Aydın Ayaydın, a Member of Parliament from the opposition party CHP said that Erdoğan participated in the four-year degree education of Aksaray Academy of Economic and Commercial Sciences, as Ayaydın himself was a teacher of Erdoğan. Expressing that he remembers Erdoğan and his classmates very well, Ayaydın said "one of his classmates is Mehmet Emin Arat, who currently is a professor at Marmara University

>Mehmet Emin Arat himself called the claims on Erdoğan not having a degree "unfair" and "baseless", stating that "the claims do not have any legal, official or historical basis".[14]

>Israeli Journalist Rafael Sadi, who was another classmate of Erdoğan,[15] said that he was irritated by "people that are telling baseless lies just to slander the man for the sake of opposition" and shared the names of professors that he and Erdoğan followed courses from.

Of course they can all be bribed and/or lying, but the Wikipedia article as written supports the version that his diploma is legitimate. Or at least that's my reading.

Another T1D here. I do not have a compatible pump with looping. But I'd like to dip my toe into openaps.

I use a cgm (libre2).

Can I use autotune to tune my carb ratio, basals etc. without looping? How was your experience in this?

Do I have to use nightscout to run autotune?

I've run it against my nightscout data a few times to get insights to my profile. So yes, you should install it somewhere and run a CGM app such as xdrip which can transfer your libre2 data to your nightscout database.

So yes, if you are interested on autotune, a nightscout is required for now.