State attorneys general warn Microsoft, OpenAI, Google, and other AI giants to fix ‘delusional’ outputs
The letter demanded companies institute new safeguards to keep users safe from harmful psychological impacts.
The letter demanded companies institute new safeguards to keep users safe from harmful psychological impacts.
Google is closing an old gap between Kaggle and Colab. Colab now has a built in Data Explorer that lets you search Kaggle datasets, models and competitions directly inside a notebook, then pull them in through KaggleHub without leaving the editor. What Colab Data Explorer actually ships? Kaggle announced the feature recently where they describe a panel in the Colab notebook editor that connects to Kaggle search. From this panel you can: Search Kaggle datasets, models and competitions […]
BondingAI acquisition of GenAItechLab.com was recently completed, including all the IP related to the xLLM technology, the material published on MLtechniques and the most recent technology pertaining to deep neural networks watermarking. GenAItechLab was founded in 2024 by Vincent Granville, a world-class leader and well-known scientist building innovative and efficient AI solutions from scratch, hallucination-free, without Blackbox or GPU, yet delivering better results faster. Doctor Granville is now Chief AI Architect, co-founder and investor at BondingAI. In the […]
As AI systems begin handling more complex, multi-stage tasks, understanding agentic design is becoming essential. This article outlines seven practical steps to build reliable, effective AI agents.
Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it was also easy to stump them. The models, which rely on language patterns to respond to users’ queries, often failed at math problems and were not good at complex reasoning. Suddenly, however, they’ve gotten a lot better at these things. A new generation of LLMs known as reasoning models are being trained to solve complex problems. Like humans, […]
The U.S. Department of Energy’s National Nuclear Security Administration (DOE/NNSA) recently announced that it has selected MIT to establish a new research center dedicated to advancing the predictive simulation of extreme environments, such as those encountered in hypersonic flight and atmospheric re-entry. The center will be part of the fourth phase of NNSA’s Predictive Science Academic Alliance Program (PSAAP-IV), which supports frontier research advancing the predictive capabilities of high-performance computing for open science and engineering applications relevant to national security […]
Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics. It is released as an open weight checkpoint on Hugging Face under an Apache 2.0 license, and it targets forecasting workloads without task specific fine tuning. The model extends TimesFM 2.0 with an explicit multiresolution architecture that fuses coarse and fine history in one context window. https://arxiv.org/pdf/2511.19841 Why observability needs multiresolution context? Production metrics […]
When the independent Tunisian online media collective Nawaat announced that the government had suspended its activities for one month, the news landed like a punch in the gut for anyone who remembers what the Arab uprisings promised: dignity, democracy, and a free press. But Tunisia’s October 31 suspension of Nawaat—delivered quietly, without formal notice, and justified under Decree-Law 2011-88—is not just a bureaucratic decision. It’s a warning shot aimed at the very idea of independent civic life. The […]
Tweet … is from page 130 of Norbert Michel’s superb and data-rich 2025 book, Crushing Capitalism: How Populist Policies are Threatening the American Dream: Regardless of the politics, the evidence simply does not connect widespread economic difficulties to “trade with China” or competition with “cheap labor.” The evidence also fails to support the widely repeated claim that the typical American worker’s real wages have not budged in decades. Although there is no single “right” way to measure income […]
Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decentralization. Instead of relying on a powerful “central planner” coordinating and commanding the behaviors of other components, modern deep-learning-based AI models succeed because many simple units interact locally […] The post Decentralized Computation: The Hidden Principle Behind Deep Learning appeared first on Towards Data Science.