peanut_merchant

Its easy to pick some groups and look at good stats, but the story is different for black Americans, and native Americans, and those without access to education or basic services. Those from a poorer background etc. This is not just about immigrants or one example group but society as a whole.

> the system is fair by and large, to the extent that reality allows for that.

This point is doing a lot of heavy lifting without evidence. Perhaps, if you are a white middle class European or North American it could be argued to be somewhat fair. "The system" as a whole is grossly unfair if you are born elsewhere, or into a poorer or marginalised family. That's without going into the gender and race pay gaps, the lack of employee protections, rising cost of living etc. etc. that even affect those luckier groups.

Acronyms, shorthand etc. are routinely used on here to refer to US states,universities etc.

For those of us outside the US, its a minor pain of using hacker news. Interestingly, this is the first time I've heard complaint about it and its a non-US university.

The parent was obviously being sarcastic to prove the point through comparison.

One of the backend developers at Anam here, one of the hardest parts of developing this has been monitoring and analytics.

Most off the shelf solutions, or existing platforms heavily skew towards the normal http web service world. However, the bulk of our interactions happen over webrtc in long-running sessions, where the existing solutions for in-depth metrics and monitoring are much less mature and well documented.

Currently we're using influxdb, prometheus, grafana and some hand rolled monitoring code alongside the stats that webrtc offers itself. Would be interested to know how anyone out there is monitoring conversational flows, and webrtc traffic.

I regularly use Uber on Graphene OS and have had no issues.

In a nutshell, yep

You do not need any form of photo or biometric id to work in the UK. I have never given anything of the sort, and have worked here for decades.

All that is required is a national insurance number (equivalent of Social Security Number in US).

Personally been here about 15 years. There are ebbs and flows of different trends, but HN has never been pure tech or science.

My favourite thing about HN has always been it's sprinkling of the "interesting/thought provoking" amongst the more technical or science based e.g. 5 in depth articles about <insert language tech stack etc.>, blog post on seagulls in 1973 east Berlin, philosphical article ruminating on death and coding, Go compiler written in C# etc. etc.

I get the point about self promotion. But fwiw I think this list is quite insightful, and a fun read.

This is pedantry, temperature introduces a degree of randomness (same input different output) to LLM, even outside of that non-deterministic in a security context is generally understood. Words have different meanings depending on the context in which they are used.

Let's not reduce every discussion to semantics, and afford the poster a degree of understanding.

I understand the point that you are making, but the example is only valid with temperature=0.

Altering the temperature parameter introduces randomness by sampling from the probability distribution of possible next tokens rather than always choosing the most likely one. This means the same input can produce different outputs across multiple runs.

So no, not deterministic unless we are being pedantic.

I get that maybe you meant culturally, but Ireland is a member of the EU whereas the UK is no longer. This forces a tighter alignment so makes your point about Ireland redundant.

The UK has continuously been pulled between it's dying imperialist vision of itself as a world power, it's close but conflicted ties with the US, and it's similarly close and conflicted ties with the EU.

I ran some quick benchmarks.

Ubuntu 24, Razer Blade 16, Intel Core i9-14900HX

  Performance Results:

  Initial Latency: ~315ms for short text

  Audio Generation Speed (seconds of audio per second of processing):
  - Short text (12 chars): 3.35x realtime
  - Medium text (100 chars): 5.34x realtime
  - Long text (225 chars): 5.46x realtime
  - Very Long text (306 chars): 5.50x realtime

  Findings:
  - Model loads in ~710ms
  - Generates audio at ~5x realtime speed (excluding initial latency)
  - Performance is consistent across different voices (4.63x - 5.28x realtime)

Not well versed in the field, what are the basic implications of this for health?

Even in Northern Scotland (further south than northern Sweden) this is the case. The latest aurora showing was vividly colourful to the naked eye.