For example; ChatGPT is replacing my Google searching. Not necessarily because it's better, or because it's summaries are better than Google (I find them subjectively better but it's not clear cut).
But because the app has a nice history; can ask a relatively complicated question and go do something else and then come back to it, ask a follow up. Etc.
None of that is specifically an AI benefit, but it's a workflow that really helps, well, flow.
That's funny, Google Gemini and AI mode in search has replaced my ChatGPT prompting, because I know Gemini will correctly cite sources (as of course it's by Google) rather than hallucinating.
Also, Gemini is free or at least has much higher usage limits than ChatGPT or Claude, and it's well integrated into Android and soon Apple with their new Siri, so things like circle to search just work well.
That's totally fair and things may change. For me its the history and the fact I can come back to it.
If I am honest I believe my final solution will be a combination of Open Claw, a custom knowledge wiki based on Wikmd. I just need a good all for Claw with history that is as good as gpt
Edit: and context too. It inferred my energy supplier from previously chats and so when I just asked a pertinent question it referenced their policy. Admittedly Google will have way more context if they get the product right.
Gemini also has it all, it learns and knows who you are, you have history of chats where you can just jump back into a conversation a week later if you want to.
Gemini has history and memory too though, maybe you weren't aware. It's an app just like ChatGPT and you can even import your history and memory, try it.
I've run into plenty of instances where Gemini cited sources and the claims they attributed to those citations were nowhere to be found in the actual sources they cited. It's happened to me over a dozen times this past week.
The AI search results were actually better last year; significantly fewer hallucinations.
Your getting that interest because it looks like a steal. Ultimately those businesses couldn't care less about $50/m (except to chance it) but they want - or even need - the enterprise terms.
They will pay $50 for your product... And probably $950 for the terms.
(Not saying that would have been the right thing for you but my advice to folks who find themselves in this position is always 20x or 40x the price - if that is enough to make it worth your bother, then go for it. Good chance theyll pay)
Obviously I know nothing about your product, so completely uninformed!
But as an enterprise buyer $50/m and $10K/m is the same bucket in terms of cost. No one will blink until around 100K, depending on what it is.
(The point I am making is; as an enterprise buyer I absolutely know how annoying it is for me to turn up and go "this random regulation, we're interpreting it in this highly specific and unique way, and we want it asap". Hence willingness to pay down that inconvenience)
Doctors make errors all the time though, so the real argument is about the error percentage. If AIs is lower then it's safer (but it's hard to have that convo, I recognise).
Besides; this article was about diagnosis not prescribing. It's pretty obvious, I think, that diagnosis is one area where AI will perform extremely well in the long run.
I think there are two metrics; the first is outright misdiagnosis, which studies put between 5 and 8% in US/Europe. That's a meaningful number to tackle.
Secondly; overdiagnosis. Where a Dr says on balance it could be X on a difficult to diagnose but dangerous problem (usually cancer). The impact of overdiagnosis is significant in terms of resources, mental health, cost etc.
Do you believe the issue is because they don't have enough technicians to diagnose or because they don't have enough x-ray machines?
Or in a ER environment, how an AI would speed up things in a real way that improves patients' lives?
We just minted the term "cognitive debt" for software engineers that cannot keep up with what the AI spits out. How would that apply to ER doctors, or any other kind of doctor?
I'm not talking in particular about the X rays. It's about general lack of hospitals, equipment and doctors.
In Europe, there are some rich cities which have on average one doctor per hundred people. And there are large areas in Eastern Europe that have ten times less than that.
If you have some unusual symptoms or a little pain somewhere and no access to doctors you will most likely ignore it.
If you can get any diagnosis it can help you e.g. decide to travel to get treatment.
And the locally available alternative for ai diagnosis is a doctor you can get to in few months, who works 80 hours a week and has 10 minutes per patient.
For ai to be valuable you really don't need to be better than average physician in top American clinic.
I agree with you, but seperate point in many respects - the conversation was about replacing existing robust medical infrastructure.
I fully agree that AI could extend access; but to build on what others have said too, lack of physical diagnostics is an issue as is the lack of physical tech infrastructure.
AI is also excellent at reverse engineering specs from existing code, so you can also ask it to reflect simple iterative changes to the code back into the spec, and use that to guide further development. That doesn't have much of an equivalent in the old Waterfall.
Yeah, if done right. In my experience, such a reimplementation is often lossy, if tests don’t enforce presence of all features and nonfunctional requirements. Maybe the primary value of the early versions is building up the test system, allowing an ideal implementation with that in place.
Or put this way: We’re brute forcing (nicer term: evolutionizing) the codebase to have a better structure. Evolutionary pressure (tests) needs to exist, so things move in a better direction.
What matters ultimately is the system achieves your goals. The clearer you can be about that the less the implementation detail actually matters.
For example; do you care if the UI has a purple theme or a blue one? Or if it's React or Vur. If you do that's part of your goals, if not it doesn't entirely matter if V1 is Blue and React, but V4 ends up Purple and Vue.
I just feel this is a great example of someone falling into the common trap of treating an LLM like a human.
They are vastly less intelligent than a human and logical leaps that make sense to you make no sense to Claude. It has no concept of aesthetics or of course any vision.
All that said; it got pretty close even with those impediments! (It got worse because the writer tried to force it to act more like a human would)
I think a better approach would be to write a tool to compare screenshots, identity misplaced items and output that as a text finding/failure state. claude will work much better because your dodging the bits that are too interpretive (that humans rock at and LLMs don't)
I meant that frame very deliberately. Use of the word AI is misleading people that LLMs are intelligent.
They model what looks like intelligence but with very hard limits. The two advantages they have over human brains are perfect recall and data storage. They are also faster.
But the brain is vastly more intelligent:
- It can learn concepts (e.g. language) with an order of magnitude less information
- It responds in parallel to multiple formats of stimuli (e.g. sight/sound)
- LLMs lack the ability to generalise
- The brain interprets and understands what it experienced
That's just the tip of the iceberg. Don't get me wrong: I use AI, it is by far some of the most impressive tech we have built so far, and it has potential to advance society significantly.
But it is definitely, vastly, less intelligent than us.
The blog frequently refers to the LLM as "him" instead of "it" which somehow feels disturbing to me.
I love to anthropomorphize things like rocks or plants, but something about doing it to an AI that responds in human like language enters an uncanny valley or otherwise upsets me.
From the CDC report [1], it's pretty clear that rabies was not considered for the donor until after the donee died and rabies was confirmed. Possibly because the donor had been scratched by a skunk and not biten. The report says the scratch had been noted on the donor risk assessment interview (DRAI), but that skunks are not considered a reservoir for rabies in his area.
If a manager is handling (almost) all disputes of all sorts, then they will fundamentally lack authority to enforce an outcome on a real dispute. They simply are too involved because resolution requires you to take some sort of side.
If my children won't speak to each other I will refuse to be the go between because I become a proxy for one to the other. If one then punches the other they won't respect my perspective that this was wrong because I've set myself up as the proxy for the others feelings.
If you need a manger to resolve the above example, the org is broken and the engineers are poor engineers.
> If a manager is handling (almost) all disputes of all sorts, then they will fundamentally lack authority to enforce an outcome on a real dispute. They simply are too involved because resolution requires you to take some sort of side.
Bullshit. Being a routine mediator makes you a better mediator when big things come up, not a worse one. It means you are in tune with the particular needs and idiosyncrasies of the people involved, and assuming you are any good at it, it means you have the trust of all parties to mediate fairly.
> If my children won't speak to each other I will refuse to be the go between because I become a proxy for one to the other.
First of all, managing adults and parenting children are two radically different things. Second, being a go between is not handling a dispute, if anything it facilitates the dispute. Kids can't agree on whose turn it is to play with a toy? Toy gets taken away with the understanding they'll get it back when they agree to a system - that's conflict resolution.
> If one then punches the other they won't respect my perspective that this was wrong because I've set myself up as the proxy for the others feelings.
What?
> If you need a manger to resolve the above example, the org is broken and the engineers are poor engineers.
The fact there is this conflict to resolve is evidence that the org is broken and the engineers are poor engineers, but given that there is a conflict, the manager should be the one resolving it, because, again, that is their job.
You may not mean it but I do think sometimes framing it this way implies leading and managing is something that requires less ability (it's a skill in its own right).
What I think is true is people cap out their technical competency, and look to shift their skillset and, globally, we are bad at a) training them to be good managers (because there is a wrong assumption it's an innate skill) and b) weeding out the many who also lack the ability to be a manager.
Agree, it’s a skill, it can be learned and improved, and of course some people have some natural ability.
But for every skill there’s a floor and a ceiling. The floor for managers is imo far lower than it is for tech ICs. Incompetent managers have many options to hide their misdeeds. That doesn’t say anything about the average or the ceiling.
So 3) he is well aware of his audience and is talking to them directly.
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