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How to Build a Cheap, Yet Reliable Model Router With Jev
Model routing can finally be a design choice rather than a system enhancement The post How to Build a Cheap, Yet Reliable Model Router With Jev appeared first on Towards Data Science.
Google admits not every Android app runs great on Intel Googlebooks
This Asus Googlebook is one of the Intel models that may have issues. | Photo: Antonio G. Di Benedetto / The Verge Google has waited until the day its new Googlebook laptops hit the market to admit that Intel-based models may have issues running some Android apps. Before now, Google has emphasized that the Android-based Googlebooks give owners access to the "entire Play Store library" of apps, along with some clever interactions with Android phones and tablets. Today, in a statement to Android Authority, it admitted that while every app is available, some may not offer smooth performance on every Googlebook. The vast majority of Android apps run smoothly across both Intel and Qualcomm Googlebooks right out of the box. Because many Android apps were o … Read the full story at The Verge.
Research could guide the future design of social robots
By the University of Glasgow Giving robot companions animal-like or anime-style faces and voices could maximise their emotional appeal to users, according to new research which could help guide the growing field of social robotics. Social robots can provide companionship and comfort to their owners by mimicking human or petlike behaviours. Although the robots are [ ]
Our minds aren’t equipped to handle AI
Norbert Wiener, godfather of cybernetics, once said, "The thought of every age is reflected in its technique." For the past century, our thought has been reflected in our computers, including by those in the AI industry. Google's Demis Hassabis calls the brain "a biological approximation to a Turing machine." Elon Musk puts it more bluntly, declaring that "people should just think of the brain as a biological computer." (Musk's brain often worries me.) But humans are more complex than a straightforward comparison to computers gives us credit for - and far more than most of the AI industry seems to appreciate. And as their products push e … Read the full story at The Verge.
Claude Pricing: What Each Plan Really Costs
Claude pricing looks simple on the marketing page. It stops looking simple the moment you try to budget for it.Continue reading on Medium »
Top 7 AI Approaches for Turning Geological Archives Into Exploration Intelligence
Geological archives contain decades of maps, reports, drillhole records, assays, geophysical surveys, and field observations.Continue reading on Medium »
How I Use AI Without Losing My Personal Writing Style
Ai can help me brainstorm, organize, and improve my writing but my experiences, opinions, and personal voice still make the words my own.Continue reading on Medium »
BMW Says Cutting 8,000 Jobs “Is Not a Cost-Savings Programme.” The Margin Says Otherwise.
BMW s turnaround plan leans on AI and leaner management. Read the numbers next to the CEO s words and the story gets simpler.Continue reading on Medium »
Are Online AI Classes Better Than Offline Coaching for Students?
Short answer: not always. Longer answer below, because it depends is a lazy thing to say without showing what it depends on.Continue reading on Medium »
The Complete AI Stack in 2026–2027: What All These AI Terms Actually Mean
If you are learning AI in 2026, you have probably seen a long list of terms like LLMs, embeddings, vector databases, RAG, agents Continue reading on Medium »
Anthropic reported diary entry to police, woman faces felony charge
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Fast Models, Slow Evidence: A Paired and Self-Audited Evaluation of System-1 Decision Models for LLM Agent Harnesses
arXiv:2610.02267v1 Announce Type: new Abstract: Agent harnesses make many small, typed decisions per task: which model to call, which tool to use, whether retrieved text is relevant, whether an input carries an injection. System-1 decision models answer such questions in a single forward pass with class probabilities, promising large cost and latency savings over LLM calls. We present a paired evaluation of an open-weight (Laya) and a hosted (Jev) System-1 model on 11 agent decision points built from 18 public sources: 7,283 base cases plus 6,640 robustness variants, with byte-identical inputs, paired tests, and cross-hardware and cross-day reproducibility checks. Jev is significantly more accurate on 9 of 11 decision points (+10.8 to +46.0 pp). Neither model beats chance on zero-shot model routing, and they tie on RAG relevance gating. Laya changes 30% of its answers when the option order is reversed and degrades sharply with many or similar candidates (31% at 50 nearest-neighbour too