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Adaptive Experimentation with Meta’s Ax: A Practical Coding Guide
In this tutorial, we explore adaptive experimentation using Meta’s Ax with the modern Client API. We work through a complete workflow where we tune a RandomForest model on a synthetic classification dataset while balancing predictive accuracy against model footprint. We begin by defining a mixed search space with integer, float, log-scaled, and categorical parameters, then […] The post Adaptive Experimentation with Meta’s Ax: A Practical Coding Guide appeared first on MarkTechPost.
Naïve raises $28.5M to automate the grunt work of setting up and running a company
Taking vibe-coding a step further, Naïve claims its infra can automate most of the work in setting up and running a business.
Gen Z dating apps like Ditto ditch swiping in favor of AI matchmaking
This generation of twentysomethings is so disillusioned with swipe-based dating apps that they'll try literally anything else — even an AI matchmaker.
OpenAI says Apple’s own security practices undermine its trade secrets case
Newly filed court exhibits show OpenAI’s legal strategy in Apple’s trade secrets lawsuit: argue that Apple’s own security and offboarding practices — including allowing an Apple manager to access a former engineer’s iCloud account after he left the company —undermine its claims that the allegedly stolen information was properly protected.
Amid legal battles, Suno says it will start watermarking songs
Suno's watermarking feature comes as the company is fighting legal battles on several fronts.
Exclusive: Mirendil inks $100M+ Google Cloud deal to scale self-improving AI
Mirendil has signed a $100 million-plus Google Cloud partnership to expand its compute infrastructure, powering research into self-improving AI systems designed to accelerate scientific discovery and AI development.
Ex-Spotify employees raise $10M to bring the AI behind its recommendations to e-commerce
The startup's platform predicts which product a shopper wants next, learns their general taste, and fine-tunes continuously based on what they do in real time.
Google Maps adds agentic features, including food ordering and hotel bookings
The launch of these new features reflects Google’s ambitions to transform Google Maps from a navigation tool into an assistant that's capable of helping users complete real-world tasks.
Omilia raises $67M to scale its customer support platform
The Series B is the company's second fundraise since it last raised capital in 2020. In that time, it has increased its ARR by 10x to $60 million.
Prime Intellect Releases Prime Agent: An Open-Source RLM Harness Where Sub-Agents Are Function Calls Inside Persistent IPython Kernel
Prime Intellect has open-sourced Prime Agent, a coding and research harness built on two abstractions: the Recursive Language Model, which turns sub-agent calls into functions inside a persistent IPython kernel, and the Continual Harness, which lets the agent edit its own prompts, skills, memory, and sub-agent specs mid-run. With Opus 5 it reports 95.5% RHAE Best@1 on ARC-AGI-3, above the reported human expert baseline of 95.4%. The post Prime Intellect Releases Prime Agent: An Open-Source RLM H
Microsoft’s SkillOpt Shows Optimized Agent Skill Artifacts Transfer Across Model Scales and Between Codex and Claude Code Harnesses
Most coverage of Microsoft's SkillOpt centers on its 52/52 result. The more consequential finding is in Section 4.3: the exported best_skill.md keeps working in environments it was never trained on. A Codex-trained SpreadsheetBench skill lifted Claude Code from 22.1 to 81.8, slightly above the 80.4 that harness reached training its own skill. Retention varies sharply by task type — 102% on spreadsheets, 10% on math — which is what makes the result worth reading closely. The post Microsoft’s Skil
End-to-End Bayesian Marketing Mix Modeling with Google Meridian: Media Measurement, ROI Analysis, and Budget Optimization
In this tutorial, we build a complete Bayesian marketing mix modeling workflow using Google Meridian. We begin by installing the required libraries, verifying GPU availability, and exploring a geo-level marketing dataset that includes media impressions, spend, controls, promotions, conversions, population, and revenue. We then map the raw columns to Meridian’s data schema, define interpretable ROI-based […] The post End-to-End Bayesian Marketing Mix Modeling with Google Meridian: Media Measureme