AI/ML news, top picks, and generated innovation digests.
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Turning OpenAPI spec and Markdown files into a conversational ads management tool — no compiled code required. The post Building a Natural Language Interface to the Spotify Ads API with Claude Code Plugins appeared first on Spotify Engineering .
James Story, former U.S. ambassador to Venezuela, visits Carnegie Council to discuss the new dynamic between American power and principle.
Here's where you can subscribe to the Access Now Express newsletter and action alerts. The post Stay informed: Get Access Now updates appeared first on Access Now .
Interim CEO Peter Clark shares his thoughts on this moment for Ai2, our commitment to open science, and where the institute is headed next.
In this episode, Philip Kiely, head of AI education at Baseten, joins us to unpack the fast-evolving discipline of inference engineering. We explore why inference has become the stickiest and most critical workload in AI, how it blends GPU programming, applied research, and large-scale distributed systems, and where the line sits between inference and model serving. Philip shares how research-to-production can move in hours, not months, and why understanding “the knobs” of inference—batching, quantization, speculation, and KV cache reuse—lets teams design better products and SLAs. We trace the inference maturity journey from closed APIs to dedicated deployments and in-house platforms, discuss GPU lifecycles, and survey today’s runtime landscape, including vLLM, SGLang, and TensorRT LLM. Finally, we look ahead to agents and multimodality, making the case for specialized, workload-specific runtimes when performance and efficiency matter most. The complete show notes for this episode can be found at https://twimlai.com/go/766.
Washington, D.C. (April 30, 2026) — This morning, Andrew Lohn, Senior Fellow at Georgetown University’s Center for Security and Emerging Technology (CSET), testified before the U.S.-China Economic and Security Review Commission. The post CSET Senior Fellow Andrew Lohn Testifies Before U.S.-China Economic and Security Review Commission appeared first on Center for Security and Emerging Technology .
My tool stack is changing
Starting today, agents can now be Cloudflare customers. They can create a Cloudflare account, start a paid subscription, register a domain, and get back an API token to deploy code right away. Humans can be in the loop to grant permission, but there’s no need to go to the dashboard, copy and paste API tokens, or enter credit card details.
AlgorithmWatch has put forward recommendations on how to implement a ban of deepfakes in the AI Act as part of the AI Omnibus procedure. To effectively protect victims of digital sexualized violence, AI companies, platforms, and perpetrators must consistently be held accountable.
AstaBench’s latest update adds new frontier-model results, including GPT-5.5, and highlights growing adoption from groups including the UK AISI, General Reasoning, Elicit, SciSpace, Distyl AI, and EvoScientist.
ChatGPT’s new Images 2.0 model is surprisingly good at generating text , Alibaba Drops Qwen 3.6 Max Preview , SpaceX is working with Cursor
How LanceDB applies distributed indexing, distributed query execution, HNSW centroid routing, and fast RaBitQ rotation to scale search to 10B vectors and beyond.
CSET’s Ali Crawford shared her expert insight in an article published by CNBC. The article examines how the 2026 graduating class is entering a tightening job market where AI skills are increasingly in demand across internships and entry-level roles, while education and workforce systems struggle to keep pace with rapidly evolving employer expectations. The post Entry-level jobs calling for AI skills nearly doubled from a year ago, says report appeared first on Center for Security and Emerging Technology .
The post Responsible AI Starts with the Data Supply Chain appeared first on Partnership on AI .
New Oxford research shows that training chatbots to sound warmer makes them up to 30% less accurate, and 40% more likely to validate users' false beliefs.
MolmoPoint and MolmoWeb extend the Molmo family from visual understanding to visual action, giving researchers open tools for models that can point, navigate, and interact with the world they see.
Learn how AE Studio used evolutionary algorithms on Modal to efficiently improve Lean proof generation.
When Ali Aoun Mehdi watched two major global news outlets report opposite facts during the Iran-US conflict, he saw a critical problem: misinformation spreading in real-time. From Islamabad, participating virtually in the Gen AI Zürich Hackathon, he built Sentinel to close this “fact-gap” by detecting contradictions across news sources instantly. Sentinel is an AI-powered early warning system that monitors 20 global news sources every 30 minutes. It identifies factual contradictions in under 30 seconds, providing users with a misinformation risk score and narrative traction assessment.
Each year sees an increase in the number of governments imposing internet shutdowns during national school exams. It's time to take action and demand change! #NoExamShutdown The post Tell governments: #NoExamShutdown appeared first on Access Now .
I have been reading about feature selection for ML models and I saw an explanation why this model presents some issues. For what I know in forward selection you start with a set of features and then, one by one, we check their statistical significance calculating their p-values. If one feature is more significant the others (regarding their p-value) then I add this feature to a list and I remove it from the list of features to be tested. This process continues until there are no more features to test. So if I have a significance level of 0.05, then I could say that the probability of having a false positive is: $$p(false\ positive)=0.05$$ and the probability of no false positive would be: $$p(no\ false\ positive)=1-0.05=0.95$$ If I assume that these events are independent and if I have ten features I will end up with: $$p(\sim false\ positive)=0.95^{10}$$ so the $$p(at\ least\ one\ false\ positive)=1-0.95^{10}=0.402$$ therefore this result that I will have a 40% chance that one feature would be deemed like relevant, but in reality it is not. The question that I have is how the use of cross validation would help to avoid this issue?
The post Work smarter in 90 days: A real-world guide to using AI appeared first on Source .
El vínculo entre la desinformación y la privacidad La desinformación impulsada por internet y el uso de las redes sociales supone un desafío que muchos hacedores de políticas están abordando The post Mi Privacidad es mi Voto: Fortaleciendo la integridad informativa en América Latina appeared first on Access Now .
GPT-5.5 is a good model
Hassan Ashtiani, Professor, McMaster University | Vector Institute Faculty Member You want to share your medical data to help advance research, but you don’t want others to access your private […] The post Hassan Ashtiani: Building trustworthy AI through mathematical foundations appeared first on Vector Institute for Artificial Intelligence .
You’re probably going to hear a lot about the personality conflict. Here’s what’s at stake in the case and what the outcome might be.
Workflows is now in public preview.
Read our translation of a May 2025 press conference featuring several Chinese government finance officials, who discussed a recently issued policy encouraging greater capital market funding for tech companies. The post Expand Financing Support to Science and Technology Enterprises appeared first on Center for Security and Emerging Technology .
Read our translation of a series of Chinese policy measures designed to provide greater financing to tech startups. The post Certain Policy Measures to Accelerate the Construction of the Science and Technology Finance System and Strongly Support a High Level of Self-Reliance in Science and Technology appeared first on Center for Security and Emerging Technology .
OpenAI's latest foundational model sets the company up for a series of models optimized for computer use. The company's co-founder and president explains the strategy.
Whether Europe shapes the next technological paradigm or simply inherits it depends on one overlooked distinction.
One impressive step on the curve
If you live in a gated community, you’ve been there: You request a ride from your apartment complex, expect your driver to come to you as usual, and then — your driver’s car icon just stops right at the front gate. You watch helplessly as the ETA ticks up. A chat message comes in: “Hey, how do I get in?” You scramble to remember the gate code. They try it. It doesn’t work. You end up meeting them awkwardly on the sidewalk outside while your coffee gets cold — a pickup journey frustrating for both you and your driver. An example gated community in real life, Photo by Bingqian Li on Pexels It turns out you’re not alone: Gated community pickups can make up 25–30% of Lyft rides in selected markets. For a long time, our app offered no special guidance in these situations. Riders would drop their pin inside the gates (fair enough — that’s where they are ), while drivers would pull up to a locked entrance with no way in, leaving both parties to sort things out over chat. The result was predictable: more cancellations, longer waits, and a lot of unnecessary stress for our customers . The Lyft Mapping team decided it was time to fix this properly — not with a band-aid, but a new end-to-end experience. Here’s how we did it. What Was Actually Going Wrong? We looked through gated ride examples, zoomed into our metrics data, and found two root causes behind most of the friction. The first was an inflexible selection of pickup spots . Our app would suggest pickup spots near a rider’s loca…
The post African Communities are Leading the Responsible AI Conversation at RightsCon appeared first on Partnership on AI .
A new AI Now Institute report published April 21, 2026, warns that gig-work platforms marketed as "Uber for nursing" are aggressively lobbying states to rewrite healthcare staffing rules, a push that could leave nurses with less pay, fewer protections, and less control over their shifts, according to The Guardian. The post Nurses Sound Alarm as ‘Uber for Nursing’ Apps Push to Deregulate Healthcare appeared first on AI Now Institute .
Vector researchers made significant contributions to this year’s International Conference on Learning Representations (ICLR), the world’s premier venue for representation learning and deep learning research, taking place April 23-27, 2026 […] The post Vector researchers advance representation learning and deep learning research at ICLR 2026 appeared first on Vector Institute for Artificial Intelligence .
In the early stages of agent development, you make big changes to your agent’s code: designing the architecture, integrating tools, and getting the core logic working. The next phase looks different. It starts once your agent is built and mostly working, and it’s where a lot of the real improvement happens. You run the agent […] The post Introducing the Opik Agent Playground appeared first on Comet .
testing popular design tools
In this Fully-Connected episode, Dan and Chris start with Anthropic's Mythos frontier model, parsing what is publicly known about its cybersecurity capabilities and projecting its possible implications from " We've been here before. 🙄 " to "See ya, cybersecurity! 😱 " It's the end of the world as we know it, and I feel fine. 🙃 Then they have fun with the craziest AI announcement of the year (except for the Mythos one of course). Allbirds pivots from shoe manufacturing 👟 to neocloud provider ☁️. No, we didn't see that one coming either! 🙈 They finish with rise of “tokenmaxxing” - the gamification 🎮 of writing code with maximum LLM usage. Incredibly profitable 💰 for commercial frontier model providers and insanely expensive 🤑 for the gamers. Better have 10X productivity just to avoid bankruptcy! Featuring: Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Daniel Whitenack – Website , GitHub , X Links: Shares in Allbirds surge after maker of wool sneakers announces pivot to AI AI-boosted hacks with Anthropic’s Mythos could have dire consequences for banks Upcoming Events: Register for upcoming webinars here !
OlmPool is a controlled suite of 26 models showing how small architecture choices can compound to make long-context extension much harder, even when training data and extension recipes are held constant.
OlmoEarth Studio now lets users export custom Earth-observation embeddings from our OlmoEarth foundation models and use them for tasks like similarity search, few-shot mapping, change detection, and unsupervised exploration.
The post Cricket Australia uses AI Insights to bring fans closer to the action appeared first on Source .
This release introduces the built-in MCP Server, Extensible Tokenizers, Diversity Search (MMR), and Query Profiling as previews, along with Incremental Backups, Gemini audio support for multi2vec-google, and the new BlobHash property type.
How we used Honk, Backstage, and Fleet Management to ease the pain of migrating thousands of datasets. The post Background Coding Agents: Supercharging Downstream Consumer Dataset Migrations (Honk, Part 4) appeared first on Spotify Engineering .
A framework for understanding what AI reliability actually requires: consistently following the right behavioral rules - whether facing normal everyday use or an active adversarial attack. The post AI Reliability Map: Rules and Circumstances appeared first on MLCommons .
An article about all the different ways to customize coding agents.
In standard software engineering, developers use proven, repeatable workflows to develop, test, debug, and update software products. They use intelligent debugging tools to quickly resolve problems, run tests to make sure fixes are effective, and automate the whole process so a fix can be implemented, tested, and integrated into the product in minutes. The same […] The post Introducing Ollie: Auto-Fix Your Agent’s Codebase appeared first on Comet .
In a new Security Studies article, Renee DiResta and Josh A. Goldstein lay out how state-backed propagandists run “full-spectrum” propaganda campaigns, relying on overt and covert tools across broadcast and social media. The post Full-Spectrum Propaganda in the Social Media Era appeared first on Center for Security and Emerging Technology .
Join us at RightsCon for a dissemination workshop where we’ll share insights and research findings from our Data for Development project, Advancing the Governance of Data for Development in Africa. […] The post RightsCon 2026: Data for Development (D4D) Dissemination Workshop appeared first on Research ICT Africa .