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ren_engineer

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ren_engineer
·4 miesiące temu·discuss
somebody looked at Claude Code's binaries and Anthropic is testing out their own app platform called antspace. Not sure why people are shocked, they've been cloning features of their API customers and adding them to their core products since day 1. Makes sense they will take user data and do it for Claude Code by copying features or buying up what developers are using so they can lock people into a stack. These are the same people that trained on every scrap of data they could get their hands on and now complain about distilling models from their output

https://x.com/AprilNEA/status/2034209430158619084

Ironically this type of stuff really makes me doubt their AGI claims, why would they bother with this stuff if they were confident of having AGI within the next few years? They would be focused on replacing entire industries and not even make their models available at any price. Why bother with a PaaS if you think you are going to replace the entire software industry with AGI?
ren_engineer
·w zeszłym roku·discuss
not sure why people are surprised, it's been known a long time that RLHF essentially lobotomizes LLMs by training them to give answers the base model wouldn't give. Deepseek is better because they didn't gimp their own model
ren_engineer
·2 lata temu·discuss
Snowflake and most other cloud services offer on-prem for these use cases, so it really doesn't make sense for them to roll their own data centers because it would be pretty niche. Cloud works for startups because they are there already, on-prem for enterprise customers with their own hardware
ren_engineer
·2 lata temu·discuss
it's not about trust, they will always be indirectly controlled by the US government who could force them to leak/release your data. OpenAI is already working with the US military and removed their restrictions on allowing their AI to be used for military purposes

https://time.com/6556827/openai-us-military-cybersecurity/
ren_engineer
·3 lata temu·discuss
logical move is to get better at splitting off their research and innovation into startups by licensing or funding employees who leave. Spinoff anything risky into an independent company so it can move faster and isn't slowed down by Google's risk aversion and bureaucracy. Basically what Microsoft did with OpenAI, give them cash and compute resources but have plausible deniability if things go wrong
ren_engineer
·3 lata temu·discuss
>similarweb

this company isn't that accurate from what I've seen comparing internal numbers at companies to their site. They make estimates based on what they purchase from data brokers. This is PR bait, they are the ones who created the entire "ChatGPT is the fastest growing app ever" headlines a few months back
ren_engineer
·3 lata temu·discuss
not sure why people are so surprised he got some things right or was at least able to create compelling arguments for this ideas, the guy was a legit genius. Got into Harvard at 16, youngest math professor ever at Cal Berkley at the time he was hired