This! Any LLM provider that monitors chat/api history for ‘abuse’ towards the model is considering using user data for training.
An Effective Altruism ethos provides moral/ethical cover for trampling individual privacy and property rights. Consider their recent decision to provide services for military projects.
As others have pointed out, Claude was trained using data expressly forbidden for commercial reuse.
The only feedback Anthropic will heed is financial and the impact must be large enough to destroy their investors willingness to cover the losses. This type of financial feedback can come from three places: termination of a large fraction of their b2b contracts, software devs organizing a persistent mass migration to an open source model for software development. Neither of these are likely to happen in the next 3 months. Finally, a mass filing of data deletion requests from California and EU residents and corporations that repeats every week.
These are extraordinary claims for a rapidly evolving field with a huge breadth of intended uses and technologies.
Here are a few questions that should be part of an evaluation of the Parachute platform to pressure test the claims made on the website and this post:
1) How many Parachute customers have passed regulatory audits by CMS, OCR, CLIA/CLAP, and the FDA?
2) What high quality peer-reviewed scientific evidence supports the claims of increased safety and detection of hallucinations and bias?
3) What liability does Parachute assume during production deployment? What are the SLAs?
4) How many years of regulatory experience does the team have with HIPPA, ISO, CFR, FDA, CMS, and state medical board compliance?
I canceled my Windsurf subscription. I had/have no interested in supporting Cognition/Devin; the recent comments by Scott Wu to the Windsurf team was the motivation I needed to move to zed/claude code.
If you're a current Windsurf customer, I hope you consider an alternative product and migrate quickly.
Can you provide a single high quality (randomized) study demonstrating GLP1 therapeutics are 'incredibly detrimental to [your] longevity and quality of life'?
Consider the type of confounding that occurs in studies of people losing a lot of lean mass: cachexia, restriction to bed, famine.
Traditional weight loss methods have not shown the magnitude of survival benefits wrt cardiovascular disease, joint pain, diabetic complications. Exercise is wonderful, but as a public health intervention it is not sufficient.
If anyone looks at the totality of the high quality GLP1 clinical evidence and concludes these drugs are going to cause a net reduction in longevity and quality of life, then they should step back and assess their process for evaluating information.
The effective cost implications are more likely 10-12% at each sale. A seller will try to increase the price of the house to cover these commissions.
Your comment is focused on buying a home, but there can be dramatic consequences for home owners, the stakeholders forced into paying both agents.
When a seller has little equity and a poor housing market, exiting a primary mortgage can be financially impossible. A recent survey found a large fraction of the US can't handle a surprise $400 expense. So the follow-on effects of these commissions are not trivial for a large swath of the country.
I also agree that depending on location (looking at you SF metro) there are much bigger factors, e.g. constrained supply, inflating home prices.
There are two prominent examples of antitrust/monopoly problems in the U.S. real estate market: MLS and dual agency. The MLS seems to be complicit in forcing home sellers into paying higher buyer agent commissions: https://therealdeal.com/national/2019/05/22/doj-demands-core...
An Effective Altruism ethos provides moral/ethical cover for trampling individual privacy and property rights. Consider their recent decision to provide services for military projects.
As others have pointed out, Claude was trained using data expressly forbidden for commercial reuse.
The only feedback Anthropic will heed is financial and the impact must be large enough to destroy their investors willingness to cover the losses. This type of financial feedback can come from three places: termination of a large fraction of their b2b contracts, software devs organizing a persistent mass migration to an open source model for software development. Neither of these are likely to happen in the next 3 months. Finally, a mass filing of data deletion requests from California and EU residents and corporations that repeats every week.