The one piece of data that could actually shed light on your job and AI
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Within Silicon Valley’s orbit, an AI-fueled jobs apocalypse is spoken about as a given. The mood is so grim that a societal impacts researcher at Anthropic, respo
OpenAI alums have been quietly investing from a new, potentially $100M fund
Zero Shot, a new venture capital fund with deep ties to OpenAI, is aiming to raise $100 million for its first fund. It has already written some checks.
Behavior is the New Credential
We are living through a paradigm shift in how we prove we are who we say we are online. Instead of asking What do you know? (password, PIN, mother’s maiden name) or What do you look like? (Face ID, fingerprint) the question has become How do you behave? The post Behavior is the New Credential appear
As AI agents take on more tasks, governance becomes a priority
AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan tasks, make decisions, and carry out actions with limited human input. It is no longer just about whether a model gives the right answer. It is about what happens when that model is
AI is changing how small online sellers decide what to make
For years Mike McClary sold the Guardian LTE Flashlight, a heavy-duty black model, online through his small outdoor brand. The product, designed for brightness and durability, became one of his most popular items ever. Even after he stopped offering it around 2017, customers kept sending him emails
Building Robust Credit Scoring Models with Python
A Practical Guide to Measuring Relationships between Variables for Feature Selection in a Credit Scoring. The post Building Robust Credit Scoring Models with Python appeared first on Towards Data Science.
Building a Python Workflow That Catches Bugs Before Production
Using modern tooling to identify defects earlier in the software lifecycle. The post Building a Python Workflow That Catches Bugs Before Production appeared first on Towards Data Science.
A Data Scientist’s Take on the $599 MacBook Neo
Why it doesn’t fit my workflow but still makes sense for beginners The post A Data Scientist’s Take on the $599 MacBook Neo appeared first on Towards Data Science.
Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost
A new way to build vector RAG—structure-aware and reasoning-capable The post Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost appeared first on Towards Data Science.
Anthropic says Claude Code subscribers will need to pay extra for OpenClaw usage
It’s about to become more expensive for Claude Code subscribers to use Anthropic’s coding assistant with OpenClaw and other third-party tools.
In Japan, the robot isn’t coming for your job; it’s filling the one nobody wants
Driven by labor shortages, Japan is pushing physical AI from pilot projects into real-world deployment.
Can orbital data centers help justify a massive valuation for SpaceX?
On the latest episode of TechCrunch’s Equity podcast, we debated Elon Musk's vision for data centers in space.
Copilot is ‘for entertainment purposes only,’ according to Microsoft’s terms of use
AI skeptics aren’t the only ones warning users not to unthinkingly trust models’ outputs — that’s what the AI companies say themselves in their terms of service.
I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian
Persistent AI memory without embeddings, Pinecone, or a PhD in similarity search. The post I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian appeared first on Towards Data Science.
DenseNet Paper Walkthrough: All Connected
When we try to train a very deep neural network model, one issue that we might encounter is the vanishing gradient problem. This is essentially a problem where the weight update of a model during training slows down or even stops, hence causing the model not to improve. When a network is very deep,
The Facebook insider building content moderation for the AI era
Moonbounce has raised $12 million to grow its AI control engine that converts content moderation policies into consistent, predictable AI behavior.
People would rather have an Amazon warehouse in their backyard than a data center
A new poll shows that the debate over data centers is far from settled.
AI companies are building huge natural gas plants to power data centers. What could go wrong?
Meta, Microsoft, and Google are all betting big on new natural gas power plants to run their AI data centers. They may regret it.
Anthropic ramps up its political activities with a new PAC
With the midterms right around the corner, the new group is positioned to back candidates who support the AI company's policy agenda.
Anthropic buys biotech startup Coefficient Bio in $400M deal: Reports
Anthropic has purchased the stealth biotech AI startup Coefficient Bio in a $400 million stock deal, according to The Information and Eric Newcomer.