Four Experts on the Questions We Should Be Asking About AI Right Now
The post Four Experts on the Questions We Should Be Asking About AI Right Now appeared first on Partnership on AI .
Latest AI/ML News
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Generating novel scientific hypotheses with Co-Scientist
In an era of information overload, the search for transformative scientific ideas has become a significant bottleneck for progress. Every great scientific breakthrough begins with a single, transformative idea. The spark of discovery relies on a researcher's ability to connect disparate facts and formulate the right hypothesis to test. We believe AI can help dramatically accelerate the pace of breakthroughs by serving as a dedicated partner in the generation and refinement of breakthrough scientific hypotheses. That’s why we’ve developed Co-Scientist, a Gemini-based multi-agent AI system that iteratively generates, debates, and evolves novel hypotheses for complex scientific problems. Read the Nature paper: https://www.nature.com/articles/s41586-026-10644-y and learn more at labs.google/science #googleio #ai #science ____ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/
Using AI to outsmart drug-resistant bacteria
Globally recognized as a silent pandemic, antimicrobial resistance continues to rise as bacteria outpace the development of new antibiotics. When patients stop responding to standard treatments, routine infections can quickly become life-threatening. At the University of Cambridge, Ben Luisi and his team are combining structural biology with advanced AI tools like AlphaFold, Gemini, and Co-Scientist to decode these hidden defense mechanisms. By compressing a process that once took years into just minutes, they are uncovering the critical insights needed to outsmart bacterial evolution. Learn more about science at Google DeepMind: https://deepmind.google/science/ #googleio #ai #science ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/
Understanding cancer at a genetic level with AI
In Uganda, the incidence of early-onset breast cancer is growing at an alarming rate. Dr. Daudi Jjingo and his team at Makerere University are working to identify genetic targets for potential vaccine development. By utilizing tools like AlphaFold, AlphaGenome, and Antigravity, they can conduct this research using only a laptop and a server, enabling seamless collaboration with local hospitals and institutions. By analyzing a protein highly expressed among breast cancer patients, the team successfully evaluated 15,000 potential binding sites, narrowing the scope to just 15 viable targets for laboratory validation. While a vaccine remains a future milestone, their work represents a critical step forward for global oncology and public health. Learn more about science at Google DeepMind: https://deepmind.google/science/ #googleio #ai #science ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/
Predicting a historic storm earlier with WeatherNext
Tropical storms and hurricanes are notoriously volatile, changing structure and intensity in a matter of hours. This unpredictability makes them some of the most challenging weather systems to forecast—putting lives and livelihoods at risk. WeatherNext, our global weather forecasting AI model, successfully predicted the intensity and track of Hurricane Melissa in October 2025. By providing high-confidence signals and advanced notices days before the Category 5 storm made landfall in Jamaica, WeatherNext enabled meteorologists and local authorities to issue life-saving evacuation warnings and protect vulnerable communities. Read more about the role of AI in meteorology and how we're collaborating with institutions like the National Hurricane Center to build a more weather-resilient world: https://deepmind.google/blog/how-weathernext-helped-the-national-hurricane-center-better-predict-hurricane-melissas-historic-landfall-in-jamaica #googleio #ai #science ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/
Introducing the 2026 MLCommons Rising Stars
Fostering a global community of emerging leaders at the intersection of ML and systems research The post Introducing the 2026 MLCommons Rising Stars appeared first on MLCommons .
A strategic blueprint for safe health AI implementation: Your 2026 roadmap
The Health AI Implementation Toolkit is a practical five-stage framework developed by Vector Institute to help health system leaders, AI solution vendors, and clinical teams deploy AI safely and responsibly […] The post A strategic blueprint for safe health AI implementation: Your 2026 roadmap appeared first on Vector Institute for Artificial Intelligence .
Expanding our AI and Healthcare Portfolio
The healthcare industry is ground zero for AI companies and the rollout of their products: Microsoft tells us that AI is better than doctors at diagnosing complex medical conditions. Nvidia claims that its chatbot, a partnership with the startup Hippocratic AI, can outperform nurses on detecting over the counter drug toxicities. AI firms suggest that […] The post Expanding our AI and Healthcare Portfolio appeared first on AI Now Institute .
Can I get my agents on the phone?
I haven’t used OpenClaw in weeks
Announcing Claude Managed Agents on Cloudflare
Cloudflare has integrated with Anthropic's Claude Managed Agents to provide a fast, isolated execution environment for autonomous code delivery. This means builders can scale agent workflows globally while strictly controlling access to private backends and easily customizing their agent’s tools and runtimes.
OlmoEarth v1.1: A more efficient family of models
OlmoEarth v1.1 is a more efficient family of remote-sensing models that cuts compute costs by up to 3x while maintaining similar performance, making large-scale satellite mapping faster and cheaper to run.
How GoPerfect Built an Agentic Recruiting Workforce with Qdrant Cloud
GoPerfect mission is to use an AI recruiting workforce that replaces the manual, low-leverage parts of recruiting. Instead, an agent decomposes recruiter intent and runs the work end to end to find top talent. Their agentic platform handles sourcing, scanning, reviewing, outreach, admin work as well as candidate conversations for recruiters, hiring managers, agencies, and CEOs who hire at volume. Recruiting is a needle-in-a-haystack problem with two complications: the haystack is massive (200M+ profiles enriched with 1B+ data points drawn from professional networks, code repositories, company data, and AI-derived signals), and the definition of the “needle” is more nuanced than any keyword filter can express. A product manager is not a product marketer, even though the two sit close together in any reasonable embedding space.
AI Weekly Issue #493: Meta hired $145B in capex and fired 8,000 people
Six days after we called $725B a bet on what no one wanted, the receipts started landing. Meta committed $145B to AI infrastructure the same week it began firing 8,000 people. Standard Chartered described its own cuts as replacing "lower-value human capital." Pope Leo XIV announced he'd co-launch his first AI encyclical with Anthropic's Christopher Olah at the Vatican on May 25.
At aged care provider Regis, AI takes on paperwork so staff can focus on residents
The post At aged care provider Regis, AI takes on paperwork so staff can focus on residents appeared first on Source .
Does Google Have a Claude Code Counterpunch?
Do-everything, ‘super agents’ are dominating the AI story today. Will we see one from Google this week?
Import AI 457: AI stuxnet; cursed Muon optimizer; and positive alignment
Welcome to Import AI, a newsletter about AI research.
A Conversation with Carnegie Ethics Fellow Alex Urwin
This conversation features Alex Urwin, head of strategic partnerships & projects at the UK prime minister's office.
Better Experiments with LLM Evals — A funnel, not a fork
TL;DR LLM evals, automated judges that assess relevance, coherence, and quality at scale, are a powerful new... The post Better Experiments with LLM Evals — A funnel, not a fork appeared first on Spotify Engineering .
📈 Data to start your week: The cost of tokenmaxxing
Bye, bye fixed costs. Hello token anxiety.
SA AI Association & Western Cape Government Launch AI Cluster Collaboration
CAPE TOWN, SOUTH AFRICA 18th May 2026 – The South African AI Association & Western Cape Government launch new provincial AI Cluster collaboration. The Western Cape AI Cluster (WCAIC) will research, support and grow the artificial intelligence opportunity in the province as well as engaging with relevant stakeholders on key themes such as AI Policy, […]
Microsoft: it’s time to come clean about your ties to the Israeli military
Through a new joint letter, we're calling on Microsoft to publish the findings of its review into the Israeli military’s use of the company services. The post Microsoft: it’s time to come clean about your ties to the Israeli military appeared first on Access Now .
Joint letter to Microsoft regarding Israeli military use of Azure cloud and AI services
A follow up to our open letter regarding Microsoft’s formal review of recent allegations about Israel’s usage of Azure cloud for the surveillance and targeting of Palestinians. The post Joint letter to Microsoft regarding Israeli military use of Azure cloud and AI services appeared first on Access Now .
Project Glasswing: what Mythos showed us
In recent weeks, we pointed Mythos and other security-focused LLMs at live code across critical parts of our infrastructure. We share what we observed, the models’ strengths and weaknesses, and what the work around them needs to look like before any of it can scale.
🔮 Exponential View #574: Inside Anthropic’s rocket ship; AI pluralism; love commoditized, context-maxxing & Voltaire++
This is the most relevant newsletter I receive in my inbox every week.
Latest open artifacts (#21): Open model bonanza! Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, GLM-5.1 & others. On CAISI's V4 assessment.
An eventful month with one flagship release after another
Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention
From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs
LLM Cost Tracking Solution: How to Monitor and Control AI Spend in Agentic Systems
The first sign of trouble isn’t always performance. Sometimes it’s the invoice. Your team ships a new agent that routes requests, calls tools, runs retrieval, and orchestrates multiple LLM calls to deliver high-quality answers. It looks like a win until the first full-month bill hits, and your LLM spend has quietly tripled. Finance wants answers, […] The post LLM Cost Tracking Solution: How to Monitor and Control AI Spend in Agentic Systems appeared first on Comet .
Advancing Collaborative Research: Introducing URP 3.0
Advancing Collaborative Research: Introducing URP 3.0 robyn.cherinka… Fri, 05/15/2026 - 14:48 By Kate Tsui, Program Director, University Research Partnerships University Research Program 3.0 Kick-Off Event at TRI HQ At Toyota Research Institute (TRI), we believe meaningful innovation happens when industry and academia work side by side. Today, we are introducing the next five-year phase of our University Research Program, called URP 3.0 , which expands our collaboration with leading North American universities and welcomes new partners into the community. Starting in 2026, URP 3.0 supports 69 research projects across 31 universities, bringing together 88 TRI researchers and 104 faculty members . This is the biggest cohort since the program’s inception, with 11 new institutions participating for the first time and bringing fresh perspectives and expertise. The program also continues to build on long-standing relationships with foundational research partners, such as MIT, Stanford, and the University of Michigan. TRI funds collaborative university research projects that are intentionally structured for deep collaboration. Each project is co-led by a university researcher and a TRI co-investigator working as peers to ensure that fundamental research and real-world application evolve together. The portfolio also includes 10 Young Faculty Research projects, continuing TRI’s investment in the next generation of researchers. Although these projects span very different domains, many…
Kubernetes v1.36: New Metric for Route Sync in the Cloud Controller Manager
This article was originally published with the wrong date. It was later republished, dated the 15th of May 2026. Kubernetes v1.36 introduces a new alpha counter metric route_controller_route_sync_total to the Cloud Controller Manager (CCM) route controller implementation at k8s.io/cloud-provider . This metric increments each time routes are synced with the cloud provider. A/B testing watch-based route reconciliation This metric was added to help operators validate the CloudControllerManagerWatchBasedRoutesReconciliation feature gate introduced in Kubernetes v1.35 . That feature gate switches the route controller from a fixed-interval loop to a watch-based approach that only reconciles when nodes actually change. This reduces unnecessary API calls to the infrastructure provider, lowering pressure on rate-limited APIs and allowing operators to make more efficient use of their available quota. To A/B test this, compare route_controller_route_sync_total with the feature gate disabled (default) versus enabled. In clusters where node changes are infrequent, you should see a significant drop in the sync rate with the feature gate turned on. Example: expected behavior With the feature gate disabled (the default fixed-interval loop), the counter increments steadily regardless of whether any node changes occurred: # After 10 minutes with no node changes route_controller_route_sync_total 60 # After 20 minutes, still no node changes route_controller_route_sync_total 120 With the feature…
Kubernetes v1.36: Mixed Version Proxy Graduates to Beta
Back in Kubernetes 1.28, we introduced the Mixed Version Proxy (MVP) as an Alpha feature (under the feature gate UnknownVersionInteroperabilityProxy ) in a previous blog post . The goal was simple but critical: make cluster upgrades safer by ensuring that requests for resources not yet known to an older API server are correctly routed to a newer peer API server, instead of returning an incorrect 404 Not Found . We are excited to announce that the Mixed Version Proxy is moving to Beta in Kubernetes 1.36 and will be enabled by default! The feature has evolved significantly since its initial release, addressing key gaps and modernizing its architecture. Here is a look at how the feature has evolved and what you need to know to leverage it in your clusters. What problem are we solving? In a highly available control plane undergoing an upgrade, you often have API servers running different versions. These servers might serve different sets of APIs (Groups, Versions, Resources). Without MVP, if a client request lands on an API server that does not serve the requested resource (e.g., a new API version introduced in the upgrade), that server returns a 404 Not Found . This is technically incorrect because the resource is available in the cluster, just not on that specific server. This can lead to serious side effects, such as mistaken garbage collection or blocked namespace deletions. MVP solves this by proxying the request to a peer API server that can serve it. sequenceDiagram parti…
📈 Cerebras and the IPO pop
Wall St is finally grasping AI inference demand
The murky mechanics of data centers’ green electricity
The German Energy Efficiency Act is under review. The government should change the rules for data centers. As they stand, a data center can be labeled “green” even if it runs entirely on fossil gas.
Published: Nanofiber-based platform for quantitative analysis of human oligodendrocyte ensheathment with pharmacological perturbations (May 15, 2026)
A research paper, entitled “Nanofiber-based platform for quantitative analysis of human oligodendrocyte ensheathment with pharmacological perturbations,” was published in Stem Cell Reports. The research team includes Haruhisa Inoue, Senior
Scaling Personalized Marketing for Multi-Tenant Commerce Platforms
TL;DR Background: Marketing Across Marketplace and Storefront Instacart operates across two distinct commerce experiences: Instacart Marketplace, our first-party consumer marketplace Storefront Pro, our white-label e-commerce platform for retailers For years, our marketing automation infrastructure was built primarily to support Marketplace use cases. That model worked well in a first-party environment, where the product experience, customer relationship, and brand were all centrally managed by Instacart. Storefront Pro introduced a very different set of requirements. As the platform scaled to more than 350 retailers, we needed to support hundreds of independent brands, each with its own brand identity, customer base, and marketing strategy. Retailers wanted the same level of personalization and lifecycle marketing sophistication that is available on the Instacart Marketplace, but in a way that preserved their own brand and operational independence. That raised a core architectural challenge. How do we deliver Marketplace-grade personalization and lifecycle marketing capabilities to hundreds of retailers without sacrificing tenant isolation, performance, or ease of use? To succeed, the platform needed to let retail marketers: Launch onboarding, winback, and promotional campaigns Customize branding and messaging Target specific customer segments Measure performance and iterate quickly At the same time, we could not simply extend a single-tenant marketing system to a multi-ten…
The EU AI Act’s Transparency Rules: A Practical Guide to Article 50
What providers and deployers must do by August 2026
Kubernetes v1.36: Deprecation and removal of Service ExternalIPs
The .spec.externalIPs field for Service was an early attempt to provide cloud-load-balancer-like functionality for non-cloud clusters. Unfortunately, the API assumes that every user in the cluster is fully trusted, and in any situation where that is not the case, it enables various security exploits, as described in CVE-2020-8554 . Since Kubernetes 1.21, the Kubernetes project has recommended that all users disable .spec.externalIPs . To make that easier, Kubernetes also added an admission controller ( DenyServiceExternalIPs ) that can be enabled to do this. At the time, SIG Network felt that blocking the functionality by default was too large a breaking change to consider. However, the security problems are still there, and as a project we're increasingly unhappy with the "insecure by default" state of the feature. Additionally, there are now several better alternatives for non-cloud clusters wanting load-balancer-like functionality. As a result, the .spec.externalIPs field for Service is now formally deprecated in Kubernetes 1.36. We expect that a future minor release of Kubernetes will drop implementation of the behavior from kube-proxy , and will update the Kubernetes conformance criteria to require that conforming implementations do not provide support. A note on terminology, and what hasn't been deprecated The phrase external IP is somewhat overloaded in Kubernetes: The Service API has a field .spec.externalIPs that can be used to add additional IP addresses that a Ser…
Humanoid Robots Hit a Turning Point as Their Brains Catch Up
Humanoid Robots Hit a Turning Point as Their Brains Catch Up robyn.cherinka… Thu, 05/14/2026 - 13:28 In this article from IEEE Spectrum , TRI CEO Gill Pratt says humanoid robots are advancing as AI “brains” improve, but warns that real reasoning, data limits, and hype cycles still challenge meaningful, scalable deployment. Read the full article here . Image Apr 2, 2026 Robotics 1 Minute Read
From latency to instant: Modernizing GitHub Issues navigation performance
How the GitHub Issues team used client-side caching, smart prefetching, and service workers to make navigation feel instant. The post From latency to instant: Modernizing GitHub Issues navigation performance appeared first on The GitHub Blog .
Practicing Strategic Empathy and Navigating Competing Values
University of Hong Kong's Professor Brian Wong discusses U.S.-China relations and how to practice strategic empathy without succumbing to moral relativism.
Moving from Theory to Action in AI Risk Management
The post Moving from Theory to Action in AI Risk Management appeared first on Partnership on AI .
Agents feedback tip
all apps will become dev tools
Costa Rican dairy cooperative turns AI agents into coworkers
The post Costa Rican dairy cooperative turns AI agents into coworkers appeared first on Source .
U.S. Congressman Beyer on AI challenges facing America and the World
U.S. Congressman Don Beyer returns to Practical AI for another far-reaching conversation with Chris about many of the most important AI challenges facing America and the world. Blending political savvy and statesmanship with his unique technical understanding as an active Ph.D student in AI at George Mason University (making him the coolest member of Congress!) , the congressman shares his perspective about the really hard AI concerns that you would have asked him yourself. Together, Congressman Beyer and Chris explore AI regulation, cybersecurity concerns sparked by advanced models like Mythos, bipartisan AI governance efforts, and the growing AI race between the U.S. and China. They fearlessly dived headfirst into AI-driven job displacement, mass surveillance, autonomous weapons, existential risk, and the philosophical questions surrounding consciousness and superintelligence as AI continues to accelerate. This is an unusual and insightful conversation you don't want to miss! Congressman Beyer was previously on Practical AI episode 271 on May 29, 2024: AI in the U.S. Congress Featuring: Congressman Don Beyer – Congress , LinkedIn , Bluesky , X Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Upcoming Events: Register for upcoming webinars here ! Midwest AI Summit 2026
Implementing LLM Architectures From Scratch
Short note linking a talk on implementing LLM architectures from scratch and comparing new open-weight model implementations against references.