It's heartening to see humanity's immune response to mediocre AI-generated content here. You can do it, you can take the easy way out, but you will be mocked and lose the respect of your peers.
ETHICS
-
Anthropic accuses Alibaba of distilling Claude via 25,000 fraudulent accounts
By
–
Anthropic states: Alibaba continues to distill Claude on a large scale to train Qwen. Via Bloomberg. Anthropic accuses operators linked to Alibaba of conducting a vast campaign to illicitly access Claude via nearly 25,000 fraudulent accounts. According to Bloomberg,
-
New release: A Practical Guide to RLHF from Packt
By
–
New release from @PacktDataML at https://
amzn.to/3PMn1ZL "A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" 𝗔𝗺𝗮𝘇𝗼𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
AI reduces instinct in decisions, human responsibility remains
By
–
AI enters decision flows once guided by judgment, shrinking the space for instinct. Teams must question results because responsibility remains human, gradually reshaping how trust forms within
-
Documentary on woman in love with AI wanting embodied robot
By
–
Yeah, at @magnific conference a couple of weeks ago I met a documentary film maker who is working on a film about a woman she met that has already fallen in love with AI and wants to see it embodied in a robot. We are headed into a weird future for sure and many will fall in
-
Critique of the Real Intelligence of Claude and ChatGPT
By
–
I have no sophisticated benchmarks other than: I don't know how you can see Claude or ChatGPT conceive in the same way and write in the same way and believe that it is intelligent in any real way.
If there were 'intelligence' in there, this… -
AI coding: 84% usage, 24% trust, calibration crucial
By
–
84% of developers use AI to code. 24% trust what it writes. Compliance has moved to the govtech center. Innovation stalls before guardrails land on reeal evidence. Read @DominoDataLab
's Chris Elsins in @ComputerWeekly on why calibration matters: -
Stanford HAI study evaluates AI chatbots as news intermediaries
By
–
Can AI chatbots be trusted as news intermediaries? A new study partially supported by @StanfordHAI evaluates the promise and risks of consuming today’s headlines through AI. @james_y_zou @suzgunmirac https://
hai.stanford.edu/news/reading-t
odays-headlines-through-ai-a-real-time-audit-of-six-commercial-chatbots
… -
AI output without source requires manual review
By
–
If AI output does not show where the answer came from, reviewers have to check the work manually, slowing the process.
-
Human review needs sufficient information for AI judgments
By
–
Human review only works when the person has enough information to make a good judgment about AI recommendations.