MikhailTal

.. HN is actually hilarious

We are barely 4 years in since the release of a historically important tech. Of course the next few years are incremental. thats how it always works.

Even last year, before opus 4.5, long-horizon agents didnt really work. I would not say the last 12 months are only incremental

any company can roll instagram(just simple image viewer) or whatsapp(just messaging) out though with the same logic. Does not mean you can compete

.. Don't you think it suspicious/sounds too good to be true? A newly created product space with insane margins, and easy to compete in?

Easy to compete+huge margins -> lots of competitors who compete on price -> commotidization -> lower margins -> not good

Sandboxes look a bit commoditized. You cannot 10x on basically what's just a VM with a few agent-friendly features in 2026. Hence competing on purely price as a new startup is a bad idea imo. As you mentioned hyperscalers have insane margins, but if this turns out to be a real market, they will lower cost, even just eat the loss if they want and take you out of business. Without any hardware innovation, it's tough for me to see this working. If you are going with a customization angle, again, no moat and plenty of competitors

6.1 is Astra minor. Way more capable but also way heavier+slower. Its really 2 different models, they just shipped it as sol to recover from the gpt6 disaster lunch, where they tried to pass terra 6(or a cheaper model) as sol but it was worse than expected

No. If your engineers can produce more ROI working on another product, it does not matter that now they are 10x more efficient. They will also be 10x in the other, more worth it product

> This is a classic test request

Isn't this basically the model admitting it was trained on this? Otherwise why would it think a pelican svg is a usual request?

No? from a quick skim it doesnt look like it goes into the system prompt everytime, you just use search/grep over it. Pretty much most memory approaches relying on a big set of info where agent chooses what to 'recall'. Its like any other tool

This is very bad logic

1) Humans also are trained on a subset of human knowledge. 2)A lot of papers are just about experimenting something, and then applying simple stats. Eg empirical studies, around 1/3rd of published papers. Like, we tried this drug or did this experiment, from a sample size X here are the results. An expert is needed to maybe comment on the conclusion/hypothesis of the underlying suspected mechanism, but LLMs are still very useful on catching bad statistics or p hacking (so so common)

This is technically true, but when people talk about randomness, its not only about same input-> different output, like temperature>0 and the things you said.

Its also about very similar inputs -> different outputs. Even with everything you said, yes, same input would result consistently into same output, but sliightly different input and you might get completely different/semantic answer.

Aware that this is essentially a soon to be deprecated service. As any vendor you need to know the life expectancy of it, plus forecast/predict any pricing changes. You really do not want to become dependent. Even if competitors exist, there still some non trivial cost to switch

Again, this is HN bubble stuff. The vast majority of people do not mind oauth or account.

> if you hook up to the fediverse

No this is the hard problem. HN people live in a bubble. Anything else than signup with oauth and then having access to everyone and its too hard and 99% of people will click away.

Very fascinating, super interesting engineering. Although i do find it very funny how they just bypass a massive vulnerability, basically zero data isolation (even between good actors, let alone bad ones) with 3 sentences. Only in the llm space you can slap a massive limitation like this in the middle of the article and continue like nothing happened

> Whatever anyone tells Audel becomes part of the single experience that every other conversation draws on. In practice, Audel is bad at keeping secrets. Ask it what it’s been working on with someone else and it will often just tell you, even though we’ve asked it not to. We also haven’t studied what happens when two people give conflicting instructions. For now, we assume anything you tell Audel is shared with everyone on the team.