Work that was once done by 10 humans can now be done by 10 robots + 2 humans for the 20% failure cases, at a lower total cost.
No doctor or physio has ever been able to fix my chronic issues, and I've always had to figure them out myself through lots of self-study and experimentation.
In the absence of a technical solution, all others basically involve someone else having to audit and constantly maintain all that code and social/legal systems of trust. If it was pulled into Rust stdlib, that team would be stuck handling it, and making changes to any of that code becomes more difficult.
I think Rust really needs to do more of this. I work with both Go and Rust daily at work, Go has its library game down -- the standard library is fantastic. With Rust it's really painful to find the right library and keep up for a lot of simple things (web, tls, x509, base64 encoding, heck even generating random numbers.)
Please rank GPT-4, GPT-4 Turbo, GPT-4o, GPT-4.1-nano, GPT-4.1-mini, GPT-4.1, GPT-4.5, o1-mini, o1, o1 pro, o3-mini, o3-mini-high, o3, and o4-mini in terms of capability without consulting any documentation.
This is not the case -- it's actually the opposite. The more of these tokens it generates, the more thinking time it gets (very much like humans going "ummm" all the time.) (Loosely speaking) every token generated is an iteration through the model, updating (and refining) the KV cache state and further extending the context.
If you look at how post-training works for logical questions, the preferred answers are front-loaded with "thinking tokens" -- they consistently perform better. So, if the question is "what is 1 + 1?", they're post-trained to prefer "1 + 1 is 2" as opposed to just "2".
Stream (https://getstream.io/) provides APIs for building in-app chat, feeds and realtime video. We do this for over a billion end users, and thousands of apps such as Nextdoor, Strava, Gojek, Alfagift and others
Looking for Go engineers of all levels, and in particular staff and above. Also very happy to train people on Go if needed (https://www.reddit.com/r/golang/comments/1eiea6q/10_week_pla...)
Tech stack is Go, Postgres, Redis, RocksDB, Raft. We run an edge network of servers around the world for optimal video calling latency. Fun part of the job is the high scale and focus we place on engineering.
Full job description and apply here: https://jobs.ashbyhq.com/stream/69536de0-6349-4394-a1a0-ea2e...
Application error: a client-side exception has occurred (see the browser console for more information).
But I tried Azure for my most recent startup because I was offended by AWS, and GCP did not have enough adoption among my customers, and Azure worked - fine.
What do you really need out of a cloud?
I want them to rent me VMs, for them to not go down, and to make it easy to do standard stuff like an object store, run containers, run databases, etc.
Azure was as good or better than AWS
I need a cloud to be reliable and secure. I've used Azure extensively and it's neither. I'll take GCP or AWS over Azure any day.
There are going to be some level of hallucination errors in the translation to the agent or code. If it is a complex problem, those will compound.
I think you can reasonably assume that if a website went through the trouble of making such a modal (for legal compliance reasons), the functionality works (also for legal compliance reasons). And, you as the client can verify whether it works, and can choose not to store them regardless.
How do you do that? Cookies are typically opaque (encrypted or hashed) bags of bits.