exfalso

Can someone provide some insight into what use cases this is good for? Marketing material?

Because clearly when you hack and rootkit a box, the first thing you do is announce it to the public

why so few upvotes? i'm guessing everyone is busy firefighting...

what. I use Astra xhigh, sometimes max, never ran out of tokens on the 100$ thing. I'm using pi though which is by definition harder better faster stronger than claude code/codex.

pi+astra for me. Does absolute wonders. When openai starts to squeeze it's chinese models all the way

Come on, the trivializations start to sound quite unfounded now. Yes, a human was needed, but no, it wasn't a "collaboration"

It would have been a case of isolating exactly what functionality is needed and wiring that up with the actual requests. Not like a full pass-through proxy. This is what we've been doing in our company as well

To be fair, this is a classic prisoner's dilemma. If the others don't play along then there is no benefit at all, it's all negative for Anthropic.

No that's not what they did, they exposed jfrog raw. It would have been so extremely simple to gate services they need the llm to access... I mean, jfrog was not written with this kind of threat model in mind, and neither were a lot of other tools

What do you use as a European CDN atm?

It does happen, but it's very very rare. I met maybe 2 people in my career I could do this with.

I understand. So don't use them. There are plenty of OS alternatives

What are you talking about. You think service providers can backdoor aes-gcm? There will always be technology that they cannot get around. The only way to backdoor is to explicitly change the encryption.

There are ways to do it correctly. You just end up spending a lot of time conceptualizing and refining abstractions.

To me the issue is more that conceptualizing requires a certain state of mind. Before llms it was 10% hard thinking 90% implementing. Implementation was actually sort of a reward, it felt so good just being in the zone and fleshing out ideas.

Post llms I find myself walking up and down quite a lot, only doing the thinking. Now it's more like 40% thinking 60% reviewing plans/code. I haven't experienced flow state since. The thinking is fun but exhausting, the reviewing is just kind of annoying, especially as llms get into these weird failure modes. Before I could look at a bad piece of code and instantly tell what the author was thinking and why the thing doesn't work. Now I need to be a lot more careful because there is little code smell, but a lot of badly chosen abstractions.

Just exhausting...

They will most certainly cut subscription access, same as Anthropic. It is inevitable that they will go down the same lockin+squeeze route. I unsubscribed from Claude a couple of weeks ago, on gpt now. However, Openai will have to make a similar move.

At that point however open weight model providers will start to shine. All eyes on China.