Exactly the same as the OpenCode drama, at this point OpenAI are just getting free customers from common sense.
Anthropic seem oddly focused on their moat being the app, rather than the underlying intelligence and model. Which is odd when Claude Claude is no better than all the other harnesses.
Not sure I’d be worried for my job, but it’s legitimately a significant jump in capabilities, even if other models attempt to fudge higher bench results
It’s boggles my mind that enterprises or SaaS wouldn’t be following release cycles of new models to improve their service and/or cost. Although I guess there’s enterprises that don’t do OS upgrades or pathing too, just alien to me.
Same background as me, however I moved into cellular/mobile - not really any official routes I know of in the industry, certainly not like a Cisco track.
Typical route is work at a Telco or IoT company as Network Eng or Developer and naturally pivot into telco learning on the job.
Vendors will run training courses when you buy their kit which helps a little, but it’s mostly self learning or on the job.
Being pragmatic you’re not going to convince every Mobile network vendor to implement a new protocol, and then have every mobile operator invest in replacing their cores to support it, all in the name of a better solution.
Services like this are actively in use by most Banks/ATMs around the world on most mobile carriers, just via creative but common reusing of long standing mobile/telco protocols.
GSMA are actively attempting to lockdown them existing methods, as they’re built on trust in a very untrustworthy environment between carriers, and in some cases state actors.
Sure on the face of it this isn’t brilliant to the average HN reader, but with context it’s a significant improvement vs where we are today.
Assume your friend does no more than a day a week, and in 5 years you’re worth a huge sum on money - what percentage do you think would fairly reflect his reward, that’s the percentage you should give now.
If you give 5% for example, there’s no reason you can’t give more in time based on increased input, but don’t give something you’ll regret in the future.