This article explores three post-hoc calibration methods—temperature scaling, Platt scaling, and isotonic regression—for improving the alignment between confidence and accuracy in large language models. It covers measurement metrics like ECE, challenges specific to LLMs, the impact of RLHF, and practical guidance for choosing the right method.

A new AI startup Quilty claims to predict film success by analyzing scripts, but its accuracy is questioned after misjudging a box office flop over an Oscar-winning blockbuster. The tool combines multiple AI models to generate reports, but experts remain skeptical about its ability to replicate human taste.

Linus Torvalds says AI boosts programmer productivity but can't replace human understanding of code and system architecture at Open Source Summit keynote. He compares AI to compilers, noting that claiming 99% of code is AI-written ignores the role of compilers. AI-generated pull requests and bug reports create maintainer burnout.

This article revisits Evolutionary Database Design two decades later, showing how Databricks Lakebase's copy-on-write branching removes traditional constraints. It enables per-developer, per-PR database instances at zero initial cost, transforming practices like async DBA review, CI/CD integration, and destructive testing. The series details seven original practices, their limitations, emerging practices for 2026, and automated workflows.

Apple's developer conference kicks off Monday. Its partnership with Google could supercharge its health suite. Gemini will power the next Siri, and I'm most intrigued by the health and fitness possibilities. A revamped Health app with a chatbot could integrate data across apps, but privacy remains a challenge.

This Databricks guide helps financial services leaders navigate the Data + AI Summit 2026, highlighting key sessions, the Financial Services Industry Lounge, networking events, and training opportunities with insights from major institutions like Morgan Stanley, JPMorganChase, and Mastercard.

AI Gateway now features real-time spend limits to prevent runaway token bills across multiple AI providers. By integrating with Cloudflare Access, companies can use identity-driven budgets and policies.

A paper introduces a unified theory attributing computational waste in AI and simulation to an ontological error of using external measurement scales. The Ontometric Relational Calculus framework derives the O=D² law, showing quadratic overhead from unit distortion. By letting systems be their own measure, optimization overhead collapses to a constant, enabling scale invariance, zero-shot phase transition extrapolation, and true Green AI.

Rampa is a color toolkit for AI agents and humans, offering a CLI, SDK, and web editor to generate perceptually uniform color ramps from the terminal. It supports OKLCH/LAB color spaces, built-in APCA/WCAG contrast analysis, and features color ramps, harmonies, blending modes, color space conversion, and more. Additionally, it includes 7 installable AI skills for color theory, theme creation, status colors, data visualization palettes, and accessible contrast.

The first large-scale study of hiring algorithms in the wild finds that AI screening tools discriminate against Black and Asian applicants, and shared reliance on a single vendor leads to systemic rejection for some job seekers.

Microsoft claims its LLM training approach differs from other AI companies, relying on "clean and commercially licensed data," but actually used unlicensed web data like Common Crawl, similar to other AI labs that depend on fair use and put the burden on site owners to block crawlers.

Shell will use agents from C3 AI to shift from basic anomaly detection towards fully-automated predictive maintenance. The global energy giant is building on their current use of the C3 AI Reliability Suite, which already keeps tabs on more than 30,000 crucial pieces of equipment. Shell now intends to lean heavily into autonomous AI agents, putting them in charge of the entire maintenance lifecycle.

Google's new Agentic RAG framework uses multiple specialized agents to iteratively search and verify context before answering complex queries, achieving up to 34% higher accuracy than standard RAG.

Anthropic has reportedly stationed about half a dozen engineers directly at the NSA to adapt its Mythos AI model for offensive cyber operations. The model could be used to break into networks in China or Iran. That fits Anthropic's broader stance: the company's promises around restricting AI use, for mass surveillance, for example, explicitly apply only to US citizens.

On June 3, 2026, Google introduced Gemma 4 12B Unified, an open-source multimodal model that understands text, images, audio, and video within a single architecture. It combines a 256K context window with a laptop-friendly design for agentic workflows and local deployment. This article covers its architecture, features, benchmarks, and practical guidance for developers.

CodeMouse is an AI code review tool that integrates with GitHub, using Claude and/or GPT to provide context-aware reviews. It reads previous comments, avoids repetition, approves clean PRs, and works with any language. Priced at $10/month with a 14-day free trial.

A Saturday Morning Breakfast Cereal comic humorously depicts an AI delivering a graduation speech, satirizing the role of artificial intelligence in human ceremonies.

NVIDIA introduces Dynamo Snapshot, a checkpoint/restore approach using CRIU and cuda-checkpoint to drastically reduce cold-start latency for AI inference workloads on Kubernetes, achieving startup times from minutes to seconds with optimizations including KV cache unmapping, parallel memfd restore, Linux native AIO, and GPU Memory Service.

Perplexity AI announced the first hybrid local-server inference orchestrator at Computex 2026, automatically routing AI tasks between on-device and cloud models without manual intervention. The feature arrives in Perplexity Computer in July 2026.

OpenAI has told CNBC it will comply with President Trump's AI executive order, which requires companies to provide access to AI models 30 days before release for benchmarking. George Osborne, the company's head of countries, confirmed the voluntary compliance and stressed the importance of government oversight.

A survey of 272 AI experts finds at least a 10% probability of catastrophic outcomes from AI within five years. Experts prioritize AI cyberattacks, weapons development, competitive pressures, and governance failure as top risks. Even with mitigations, five risk categories remain above the 10% threshold.

In Beijing, Daniel Wang paid for a humanoid robot to collect training data in his home, while actual chores were done by a human housekeeper. This highlights the global shortage of training data for robotics, and how China is leveraging low-cost labor to gather real-world data for humanoid robot training.

The AAMAS 2026 best paper awards were presented at the 25th International Conference on Autonomous Agents and Multiagent Systems, held from 25-29 May 2025 in Paphos, Cyprus. Winners in three categories were announced: Best Paper, Best Student Paper, and Blue Sky Ideas Paper.

A hands-on guide to setting up Microsoft Fara in Google Colab and running a browser-use workflow using a mock OpenAI-compatible endpoint. This tutorial covers environment setup, endpoint configuration, and testing the agent loop without requiring a real Fara-7B deployment.

Anthropic shares internal data showing Claude now generates more than 80% of production code, with engineers shipping eight times as much code daily as in 2024. The goal is AI that improves itself, which could lead to rapid acceleration. To manage risks, Anthropic advocates for a verifiable global development pause, pledging to halt if other frontier labs demonstrably do the same.

A framework called CDE (Compositional Directed Evolution) avoids the uncontrollable risks of RSI (Recursive Self-Improvement) by keeping the model fixed and composing vetted tools. It uses static analysis to ensure safety, relocating defense from adversarial runtime to hardenable components while allowing capability growth.

Cloudflare AI Gateway introduces spend limits to control costs by setting budgets per model, provider, or custom metadata. Requests exceeding the limit are blocked or can fall back to cheaper models.

Anthropic co-founder Jack Clark warns that AI is approaching a tipping point where it could develop without human input, calling for a 'brake pedal' on AI development. He notes that Anthropic's Claude chatbot already writes 80% of its own code, and could reach 100% within two years. Clark draws parallels to oil industry regulation and urges society to discuss the implications of AI progress, including economic disruption and job displacement. He advises young people to cultivate creativity and liberal arts skills to thrive in an AI-driven economy.

Boson AI has released Higgs Audio v3 TTS, a 4B parameter state-of-the-art open-source text-to-speech model supporting 100+ languages with zero-shot voice cloning and expressive control. It targets voice chat use cases and is released for research and non-commercial use.

The price of ZEC fell over 30% after a critical counterfeiting vulnerability was disclosed in Zcash's Orchard pool, potentially allowing unlimited minting. Security engineer Taylor Hornby, using Anthropic's Claude Opus 4.8, discovered the bug, which was patched via a hard fork on June 3. Concerns remain as the vulnerability existed since May 2022 and its exploitation cannot be cryptographically disproven.