diamondage

Its great. The article summaries frequently have odd phrases in them - eg "keep concise", the precise summary" etc. Might want to check that!

In my experience Azure endpoint versus openAI endpoint was way faster and significantly cheaper.

The uptake forced the bigger companies to act. With image diffusion models too - no corporate lawyer would let a big company release a product that allowed the customer to create any image...but when stable diffusion et al started to grow like they did...there was a specific price of not acting...and it was high enough to change boardroom decisions

Why are they wrong? Surely it depends on how you train it?

I'm not sure if you're correct. In fact there has been a revolution in some areas of social science in the last two decades due to the availability of online behavioural data.

The question 'what is science actually for' can be sidestepped. Everyone can agree that it has value, albeit we disagree on the actual value...this is why you need a market. As to how things get priced in such a market, this is a subject for further research...To start, it just needs to tie to something measurable. Heck we've created memecoins with far less backing. Also, we've carved up the conceptual space on a very course grained level with patents, we just need a more immediate, and granular system for doing so...

Actually, the problem is pricing. If we could identify and correctly value new concepts, then we can dispense with citations and just use the correct sum of concept valuations. Perhaps a correctly designed futures market would not only solve getting the right PhD students the right jobs, but bring a lot of speculative capital into fundamental research?

Low latency starlink orders on hold

How well does it work with multiple languages?

Didn't they get their robots from Italy?

Tried creatine?

Is this significant, or does it set a precedent in anyway?

Should have come to the comments first!

I did work on a diagnostic assist tool developed by a large pharma which diagnosed between Asthma and COPD. GPs get this right 52% time, specialists just over 60 and AI came in over 80%...using 12 relatively mundane input variables. I believe there are a lot of these situations, but not clear pathway to FDA approval

yes but you can train relatively dumb AI on high volumes of historical data and presenting factors. This is typically just a 'diagnostic assist', but often significantly better than a human

Underreported competitive advantage of NHS is their unified and comprehensive data

Seems like an odd choice of name from an apparently low attack surface, cybersecurity aware company...

Starlink has created a lot of property arbitrage opportunities

Account pooling? Sign up to a pool that distributes your account to others when not being used, in return gives access to multiple streaming platforms on demand...

You can not deliver a pizza based on a 2% chance of fraud. If there's a chance of bomb, shooting etc the same threshold doesn't apply. So the police have completely different criteria.

So Godel proved that there are true theorems that are unprovable. My hunch is that there is a fine grained version of this result <-- that there is a some distribution on the length of the proof for any given conjecture. If true that would mean that we better get used to dealing with long nasty proofs because they are a necessary part of mathematics...perhaps even, in some kind of Kolmogorov complexity-esque fashion, the almost-always bulk of it

would love to see this taken further. I note that structure 101 seems to have been bought by sonar (https://www.youtube.com/watch?v=6Mie3Iya4zE) but they did this back in the day for java etc. would love to have an accessible modern add on with the same concepts of fat, tangle etc.

anywhere in the US; software/messaging apps/security

Surely there is some economy of scale here, where a standardized first round interview'taking a bug fix to production' fits multiple companies. Noone should have to do more than one technical interview

Well I know a guy who worked in the same TV shop until his 40's, when his dad died. Then he got a job in an oil company, took all the most dangerous jobs, travelled all the way round the world, was kidnapped in Nigeria, met a Turkish nurse on the Syrian border, got married and now lives with her on the Mediterranean coast.

If you want another story listen to how KFC was founded - that guy was 67.

You were there when you Dad died, some people don't get that closure... Now your decisions are about what you want.

I don't think so. I've worked a lot in NLP and spoken with one of the founders of Alexa. Imo there is a lack of core science about language which leads to crazy scaling difficulties in voice applications. (eg.Alexa had over 15000 engineers working on it...) until someone pushes that core science forward, the same issues will remain.

They weren't previous colleagues. They were willing to put in cash and leave me some rights on the v1 codebase in another vertical and I jumped at the option.

Yeah this is the not-easy but emotionally intelligent thing to do. I think I can trace it back to a fight with the lead developer who then skipped me and talked directly to them. There is a chance I can resolve the situation at the root if I can talk directly with them about this situation, particularly as since then, said engineer has not met his promised targets (six months overdue on an initial claim of 1 month). But this is only speculation.

Actually, the share agreement is a little vague, but fine in this instance - there is a clause that says there is no obligation for shareholders to participate in the cash call. Problem is how to refute it, and work together (if at all) going forwards.

Thanks @edmundsauto!