1,673 karma · joined March 23, 2023
I've seen other systems like this calibrate far more quickly by assigning a sort of score and confidence behind the scenes. Confidence starts out low and increases over time - correct/incorrect answers rapidly adjust score at the beginning, then things settle down.
In practice this means you get a sequence of increasingly uncommon words initially, until you get one wrong, then you drop back to something easier until you start getting things right again, and eventually circle around words at your level.
Also - too many clicks per word. It's low stakes, just let me click the definition once and I'll live if I misclick (or add an undo button).
I personally don't feel limited in my speech, but I'm willing to accept that I may be wrong
Nobody I know in real life is talking about censorship or free speech in the UK
> The reason MCP isn't dead is because practically ~every company on the planet is building an MCP server.
You have drunk the kool aid. No shot ~every company is building an MCP server.
One issue is that prediction markets provide financial incentives to perform actions in the real world. For example, if I want a head of state murdered, I can wager lots of money that they won't be murdered. If somebody wants to earn that money, they can simply bet against me and then murder them.
It's not an dispassionate wager like betting on roulette, it's a wager that directly influences the real world, at least a bit.
Of course you could directly hire an assassin, but that doesn't come with plausible deniability.
On the other hand, even if that were true, I don’t know how important it would actually be since LLMs can generalise across languages well.
It might be best to pick languages where it’s just harder to screw up, the canonical example being to prefer typescript over JavaScript.
I got into software engineering because I was always fascinated by getting computers to do stuff, and I really enjoyed the manual task of programming. It's been a dream to earn a living doing something I would do in my spare time. I was pretty good at it too.
I'm not having fun any more, so I've decided to leave the field and become a teacher. I won't earn nearly as much money but I expect to feel more fulfilled, and I hope I can help make a difference to some young people.
I've had an extraordinarily privileged career, and many people never get the luxury of enjoying their work at all. But I'd rather try to enjoy what I do day to day than persist in something that's lost its spark.
I made a few false starts where I couldn’t really get through season 1, but after I persisted it was worth it.
The sample videos on the tweet are very very cool.
Unfortunately it didn’t really work for me, I’ll try it out in a few days when the traffic’s died down.
I’m not sure I buy the methodology of “Monitoring 39 public signals”. Claude just loves to make up stats. I clicked the Methodology tab but lost interest quite quickly after realising it was typical overwritten Claude bs.
Less is more. This is a rather overwhelming presentation for something purportedly simple. What exactly am I supposed to care about here, without sifting through screeds of text?
I would have thought that the list of entities with access to Mythos would be hard to get a hold of, and really the only source worth any weight is Anthropic’s own statements.
> I'm about to loose thousands of dollars by the end of Monday 20th because of the automatic shipping deadline on Tindie and it currently being down. I've tried contacting support multiple times but they are not helping. Please respond before my business fails!
If I were a developer there I would be feeling really not very good. Just minutes of downtime on the systems I’ve worked on gets my heart rate going.
It also feels like there’s a lot being left unsaid in this statement. Normally you would work on these things in parallel to production… so something is seriously wrong.
And besides that, this just feels like something nobody asked for that probably doesn’t sell more food compared to, for example, more pictures.
A quick sample from my app right now:
“Authentic Caribbean Flavours. Jerk Chicken, Curry Goat, and more. A vibrant culinary journey awaits.” - local Caribbean place
“Customisable burgers with 250,000+ toppings. Hand-cut fries and rich milkshakes await.” - Five Guys
“Authentic Indian cuisine bursting with rich flavours. Perfect for late-night cravings” - local Indian
Everything is Authentic, or Rich, or whatever.
—-
They’re investing in the wrong bits of AI. I’m sure they’re AB testing these soulless often inaccurate blurbs but I just cannot see how investing money into them actually sells more product.
On the other hand, if they had a coherent product vision, and trusted their engineers to use AI how they see fit, then I’m sure they would be more successful, and it would be cheaper.
It is hard indeed. I find it really quite exhausting.
Personally, I feel like I have always been a very competent programmer. I'm embracing the new way of working, but it seems like quite a different skillset. I somewhat believe that it will be relevant for a long time, because there is an incredibly large gap in outcomes between members of my team using AI. I've had good results so far, but I'm keen to improve.