It still seems to pull info from convos outside the group (project). Even if you tell it not to.
GENERATIVE AI
-
AI-Powered Astrology Using Personal Ad Data and Predictions
By
–
i always thought someone should buy all of our ad data and then use it to make 'real' astrological predictions using knowledge of us + AI
-
AI Hallucinations and Professional Accountability in Legal Practice
By
–
Surely, such behavior is grounds for being disbarred? Unless that becomes the default response, the hallucinations will continue.
-
Runway Gen-4 References: Advanced Video Generation Features
By
–
Using Gen-4 References. You can learn a bit more about using References here: https://
academy.runwayml.com/gen4/gen4-refe
rences
… -
AI Model Naming Changes Create User Disruption Challenges
By
–
Hard balance to strike here, it’s disruptive to switch names, especially when there’s no option to stay on the old model
-
ContextGem Leverages LLM Long Context Windows for Extraction
By
–
ContextGem particularly leverages the long context window of LLMs for extraction tasks!
-
AI Models That Code Well Generalize Across Domains
By
–
Mostly coding, though models that can code well do generalize across other domains!
-
Gemini 2.5 Pro Updated Capabilities Now Available in Preview
By
–
Explore the capabilities of the updated Gemini 2.5 Pro, now in Preview in AI Studio and Vertex AI, and experimentally in the Gemini app. http://
aistudio.google.com We look forward to your feedback! -
Gemini 2.5 Pro Achieves Leading Performance on Developer Evaluations
By
–
And don't just take our word for it: “The updated Gemini 2.5 Pro achieves leading performance on our junior-dev evals. It was the first-ever model that solved one of our evals involving a larger refactor of a request routing backend. It felt like a more senior developer because
-
Developers Embrace Gemini 2.5 Pro for High-Performance Tasks
By
–
Developers really like 2.5 Pro: “We found Gemini 2.5 Pro to be the best frontier model when it comes to "capability over latency" ratio. I look forward to rolling it out on Replit Agent whenever a latency-sensitive task needs to be accomplished with a high degree of