When chat is the wrong UI
The GitHub Copilot app introduced canvas, full-stack mini-apps running inside the app without browser chrome. They communicate bidirectionally with Copilot agents and can call third-party APIs or execute code locally.
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Sep 18
Should you read the code, is RAG dead, and did Skills kill MCP?
The latest GitHub Podcast examines five AI development memes. AI-generated code still needs reading and accountability, with review proportional to risk. Skills package team experience, while MCP standardises connections to tools and data; they can combine. RAG is not dead: it provides relevant information beyond training data and can coexist with agents, Skills and MCP in one workflow.
Sep 16
How workers are unlocking new ways of working
OpenAI economic research finds workers use AI beyond traditional job responsibilities, with new activities becoming recurring parts of their work. It examines how employees actually expand their work with AI rather than limiting analysis to existing roles.
Sep 8
The Work Now Within Reach
OpenAI explores how more capable, affordable AI expands what individuals and businesses can accomplish and makes growth more economical. It focuses on capability gains and falling costs, explaining their effects on practical work output and business growth.
Sep 6
Research acceleration: The view inside OpenAI
OpenAI disclosed internal data showing coding agents reshaping AI research, covering agent usage, experiment speed, task complexity and research acceleration.
Jul 30
GPU Management: Why Idle GPUs Are the New Grounded Aircraft
Hugging Face's blog argues AI's next real constraint is GPU utilisation, rather than intelligence. GPUs are billed by calendar hours but produce only in compute hours, mirroring the cost structure of grounded aircraft.
Jul 7
Intelligence is Free, Now What? Data Systems for, of, and by Agents
As inference costs fell from around $30 per million tokens for GPT-4-class models in early 2023 to under $1 today, and below $0.10 at some providers, UC Berkeley's Aditya G. Parameswaran and colleagues proposed three directions for data systems in the agent era: For Agents, Of Agents and By Agents.
Jun 30
Why Specialization Is Inevitable
Dharma AI discusses Goldfeder, Wyder, LeCun and Shwartz-Ziv's 2026 paper AI Must Embrace Specialization via Superhuman Adaptable Intelligence.
May 16
How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica
WeatherNext, the AI weather model developed by Google DeepMind and Google Research, helped the US National Hurricane Center predict five days ahead with 80% confidence that Hurricane Melissa would make landfall in Jamaica at Category 5 strength. Confidence approached 100% three days ahead.
May 8
Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling
Berkeley AI Research reviews parallel reasoning, focusing on models deciding when to decompose and parallelise independent subtasks, how many threads to generate and how to coordinate. Existing approaches including Self-consistency, Best-of-N, Tree of Thoughts, MCTS, ParaThinker, GroupThink and Hogwild! Inference mostly impose parallel structures externally rather than teaching adaptive behaviour.
Mar 31
Safeguarding cryptocurrency by disclosing quantum vulnerabilities responsibly
Google Quantum AI published a white paper saying future quantum computers would require fewer qubits and gates than previously estimated to break the elliptic-curve cryptography protecting cryptocurrencies.
Mar 12
Protecting cities with AI-driven flash flood forecasting
Google introduced urban flash-flood forecasts on Flood Hub, using a new AI approach to predict risks in urban areas up to 24 hours ahead.
Exploring the feasibility of conversational diagnostic AI in a real-world clinical study
Google Research and Beth Israel Deaconess Medical Center conducted a prospective, single-centre feasibility study in which AMIE held text consultations with patients before outpatient primary care visits, under live physician supervision by video.