#Tech giants have been partnering w/ up-&-coming #AI start-ups, like #Microsoft backing #OpenAI, but Amazon has not been as active as rivals until now.
Considering this set of principles by which #Anthropic tries to train its #AI, I found that it does not always meet those principles.
Anthropic, an AI startup founded by former OpenAI staff and that raised $1.3B, including $300M from #Google, details its “constitutional AI” for safer #chatbots.
Tried Claude.ai from #Anthropic -
Its UX has an ivory background with black and violet font. Not sure if it’s a conscious choice of showing privilege based on trust, but it works.
The chat responses have an embedded option to ‘copy’ and give feedback. It’s helpful for both users and the product.
It says “no” more often than its competitor for answers it is not sure of.
Has little features like the provision to delete the security code that’s sent via SMS once used. #ai#chatgpt
Anthropic researchers find that AI models can be trained to deceive
The models acted deceptively when fed their respective trigger phrases. Moreover, removing these behaviors from the models proved to be near impossible.
The most commonly used AI safety techniques had little to no effect on the models’ deceptive behaviors
Sounds like it can replace/augment those with experience levels #lmgt4y#StackOverflow#StackExchange
But actual specialists? Have -1 incentive now to write down their experience. 📉trends ensue.
After months of work and $10 million, Databricks has unveiled DBRX - the world's most potent publicly available open-source large language model.
DBRX outperforms open models like Meta's Llama 2 across benchmarks, even nearing the abilities of OpenAI's closed GPT-4. Novel architectural tweaks like a "mixture of experts" boosted DBRX's training efficiency by 30-50%.
#Anthropic is killing it with their AI game, especially for a small startup. Their models are way better than #OpenAI's, but they're focusing more on enterprise stuff rather than hyping it up. This might be a risky move since they don't have a cult following like other AI companies. Still, gotta give them props for their impressive tech. It'll be interesting to see how they balance enterprise with getting more attention from the AI community.
“Today we report a significant advance in understanding the inner workings of AI models. We have identified how millions of concepts are represented inside Claude Sonnet, one of our deployed large language models. This is the first ever detailed look inside a modern, production-grade large language model. This interpretability discovery could, in future, help us make AI models safer.”