Technology Insights
#EnterpriseTech
Is paying artists enough to convince them to embrace AI?
Illustrators have spent years sounding the alarm about generative artificial intelligence startups training their models on artists' work without permission. They've pointed out how the practice is tantamount to theft, and in response, many gen AI boosters have argued that…
Read More →
#DataScience
Artists are lawyering up against AI slop, and some are even winning
When The Atlantic published a searchable dataset of works used to train AI, Kirk Wallace Johnson, like a lot of artists, looked for his name out of curiosity. And, like a lot of artists, he found it. Essentially, his books,…
Read More →
#GenerativeAI
Opus 5 costs a third of the price — and that’s actually the problem
On Friday, Anthropic launched Opus 5, the latest iteration of its heavyweight model. Arriving just two months after Opus 4.8 The post Opus 5 costs a third of the price — and that’s actually the problem appeared first on The…
Read More →
#DataScience
Nvidia’s new DNA model learns what token prediction misses
The AI industry has largely focused on language-based approaches, using transformers trained on massive datasets to predict words or fill The post Nvidia’s new DNA model learns what token prediction misses appeared first on The New Stack.
Read More →
#GenerativeAI
Anthropic’s $1.5 billion book piracy settlement approved by judge
A federal judge has signed off on Anthropic's $1.5 billion class action settlement with authors who accused the company of training its AI models on copyrighted books, as reported earlier by Reuters. In an order on Monday, Judge Araceli Martínez-Olguín…
Read More →
#AgenticAI
Why every AI agent decision needs a receipt
A conversion-rate alert fires 30 minutes after a pricing engine deploys updated discount rules. The analytics platform holds millions of The post Why every AI agent decision needs a receipt appeared first on The New Stack.
Read More →
#GenerativeAI
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix
Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector databases that…
Read More →
#GenerativeAI
3 Questions: Neural transparency and the future of AI design
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Read More →
#DataScience
Suno snatched millions of songs from YouTube, Genius, and Deezer
Suno data obtained in a hacking incident has exposed that the AI music generator was trained by scraping millions of songs and lyrics from online audio platforms, including YouTube Music, Deezer, and Genius, 404 Media reports. Given that Suno has…
Read More →