AI/ML news, top picks, and generated innovation digests.
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Show Codex a workflow once. Reuse it as a skill. Record & Replay lets you show Codex a recurring task, like filing an expense report or submitting a time-off request. Codex turns that demo into an inspectable, editable skill. You control when recording starts and stops.
The post Influenced: The Tenet Media Plot appeared first on Data & Society .
Evaluate off-the-shelf vs. custom computer vision models. When to use each. Learn how fine-tuning RF-DETR bridges the gap to factory production.
We break down the technical architecture behind our multi-stage vulnerability discovery harness and automated triage loop. Learn how we manage state controls, squash false positives through adversarial review, and route around LLM context limits.
We talk about how this legendary investor went from humble beginnings in Singapore to leading rounds in Anthropic, Mistral, Black Forest Labs, and Periodic Labs... and the AMP secret master plan!
OpenAI introduces new spend controls and usage analytics for ChatGPT Enterprise, helping organizations manage costs and scale AI with confidence.
GDM has published an AI Control Roadmap ! From the executive summary: We present the GDM AI Control Roadmap (v0.1) – our plan for implementing and adopting internal guardrails designed to catch potential adversarial behaviour by AI agents, even as they become increasingly harder to oversee and contain. We focus on system-level mitigations that limit the harm a misaligned AI system could cause. Specifically, this report provides: • Threat modelling : Taking inspiration from cybersecurity, we adopt a conservative, worst-case approach to threat modelling throughout this paper, and assume a hypothetical AI adversary pursuing undesirable goals in internal deployment. We introduce TRAIT&R, a taxonomy of tactics and techniques available to such a hypothetical AI adversary, building on the established security framework MITRE ATT&CK. We categorise new hypothetical threats into three core areas: loss of control (e.g., rogue internal deployments), work sabotage (e.g., intentionally flawed alignment and safety research), and direct harm (e.g., critical asset destruction or exfiltration). • Control invariants : We establish two defensive invariants that we aim to maintain, even as the hypothetical AI adversary becomes increasingly capable: i) reliable detection of misaligned intent or actions, and ii) effective prevention and response to attack attempts. For control to serve as an effective line of defence, our ability to detect and prevent attacks should exceed AI agents’ ability to ev…
The post When Companies Listen to Employees About AI, Everyone Benefits appeared first on Partnership on AI .
TL;DR Helion, PyTorch’s domain-specific language (DSL) for performance portable machine learning kernels, heavily relies on autotuning for performance. Currently Helion searches utilize the Likelihood-Free Bayesian Optimization (LFBO) to find the...
Learn how pull request limits can help manage contribution volume in your repositories, and see what’s next on the roadmap. The post How pull request limits are cutting down the noise appeared first on The GitHub Blog .
Computer vision deployments are driving retail productivity gains as operators automate physical shelf tracking to protect eroding margins. This hardware deployment directly addresses the persistent in-store execution failures currently costing the industry billions. A study authored by Coresight Research – in partnership with technology providers Simbe and RELEX Solutions – calculates the exact cost of […] The post Computer vision deployments drive retail productivity gains appeared first on AI News .
Playbook Paris se délocalise au salon Vivatech, à Paris, où jamais autant de candidats à la présidentielle n’ont choisi de se rendre alors que le sujet de l’IA se place au premier plan. Gabriel Attal et Edouard Philippe jouent des coudes pour séduire le monde de la tech, en dégainant une série de propositions, avec […]
Kann man Deutschland zum weltweit führenden Pharma-Standort machen und gleichzeitig eine Gesundheitsreform auf den Weg bringen? Wir blicken auf das Spannungsfeld zwischen der künftigen Finanzierung der gesetzlichen Krankenkassen und der Wettbewerbsfähigkeit Deutschlands. Zu Gast im Policy Talk ist Heidrun Irschik-Hadjieff. Sie ist die Geschäftsführerin der deutschen Tochtergesellschaft des Pharmakonzerns Sanofi. Im Gespräch mit POLITICO-Gesundheitsexpertin Marie […]
Over the past few years, some hospital networks have outsourced parts of their core workforces to AI-powered labor platforms like ShiftMed, CareRev and Clipboard Health. These platforms have been described as “Uber for nursing”, with a sales pitch that mirrors the early days of the platform economy. The post Gig workers are endlessly exploited. AI could make more of us share their fate appeared first on AI Now Institute .
Prove You Can Work with the Technology Behind Modern AI Linux Foundation Education and PyTorch Foundation have launched the PyTorch Certified Associate (PTCA), a new certification designed for early-stage practitioners...
Agent harnesses are replacing frameworks as the real product surface for reliable AI agents, shifting the work from prompt tuning to loops, tools, traces, evals, and operational metrics. The post What is an agent harness? Why harnesses are replacing agent frameworks appeared first on Arize AI .
Most people used ChatGPT like a smarter search engine. Ask a question, get an answer, and move on. It works but it leaves a surprising amount of value on the table. Over the past few years, ChatGPT has evolved far beyond a simple chatbot. It can browse the web, analyze files, generate images, maintain memory, […] The post Most People Use ChatGPT Wrong: 10 Features and Tips That Changed How I Work appeared first on Analytics Vidhya .
little tools for making life easier
The digital era gave the advertising and marketing industry speed; the AI era is giving it autonomous operations. For companies building next-generation technologies for advertising and marketing, the question is no longer whether to adopt AI but whether their infrastructure can support it at the speed and scale the industry demands. At Cannes Lions, running […]
Play favorite titles from popular game libraries, keep progress synced and jump back into gaming sessions on virtually any device. That’s the power of GeForce NOW cloud gaming. From providing access to members’ favorite game libraries to offering some of the season’s best membership pricing, GeForce NOW is making it easier than ever to get […]
By mimicking how the brain operates, neuromorphic computing can use dramatically less energy than conventional electronic AI chips. However, even the most sophisticated neuromorphic devices today are still quite simple, using only a small fraction of the number of connections found in human neurons. Now, a new study suggests that by using sound waves, neuromorphic devices can better mimic biological neurons and operate faster and with greater energy efficiency than their electronic counterparts. “This could make future neuromorphic hardware more compact, more parallel, and more efficient for tasks that require combining many features, such as pattern recognition, sensory processing, and data analysis,” says Xiaodong Yan , an assistant professor of materials science and engineering and electrical and computer engineering at the University of Arizona in Tucson. Just as brains use synapses —the links connecting neurons—to help them both compute and store data, neuromorphic devices often combine both operations. Doing so can reduce the energy and time needed for conventional microchips to shuttle data between processors and memory. Each human neuron may have thousands of synapses connecting them with other cells; one kind of neuron found in the cerebellum , the Purkinje cell , may have as many as 100,000 synapses . This extraordinary level of connectivity lets each human neuron “combine different pieces of information, compare them, and respond depending on the context,” Yan say…
President Ruto and Sam Altman discuss plans on sidelines of G7 Summit
Let's not waste any more time.
Learn how GPT-5.5 Instant improves ChatGPT’s health and wellness responses with stronger reasoning, better context, clearer communication, and physician-informed evaluations.
Instead, just pay people to love them
PLUS: Snap glasses, Amazon world models, and AI email.
HSBC has entered a multi-year partnership with Google Cloud to develop and deploy artificial intelligence tools across its global operations. Announced at Google Cloud Summit London 2026, the agreement covers work in wealth management, financial crime risk management, and internal decision support. HSBC will work with Google Cloud and Google DeepMind engineering teams on AI […] The post HSBC expands AI banking partnership with Google Cloud appeared first on AI News .
In a joint analysis, several European organizations, including AlgorithmWatch, point out the risks and deficiencies of the recently approved AI Omnibus – and highlight the risks that this process in the name of simplification could have for future legislative procedures.
How CodeRabbit leverages LanceDB-powered context engineering turns every review into a quality breakthrough.
How GLM-5.2 uses IndexShare to reuse sparse-attention token selections across layers and reduce long-context indexer computation.
Domyn and AISquared show how Ai2’s open releases are helping AI labs build models for regulated industries, where transparency, provenance, licensing, and control are essential for customer trust and compliance.
Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases.
Engineering teams have upgraded their tools. Have they upgraded how they work?
A year ago at NVIDIA GTC Paris at VivaTech, France laid out plans to advance local AI — from new AI factories and national compute capacity to open frontier models and industrial platforms. Now, that AI infrastructure is coming online. AI agents are running in production, startups are deploying applications and the French AI ecosystem […]
The only bootstrapped frontier lab announces its second product and second
Insurance involves hard problems with complex, correlated risks. Allstate and IBM are showing how quantum could help solve them.
The post ‘You have to be clear what is more important—the economy or the market’ appeared first on The Ken .
MCA Public Services and Complaints Department head Datuk Seri Michael Chong (pic), who is also an executive council member of the Majlis Datuk Persekutuan Malaysia (MDPM), said there have been instances where AI was used to create fake datukship-related photographs.
AI is transforming how we build, deploy, and operate technology. Open source is making it possible. KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China will take place September...
Server-side batching, retries, the blobHash data type, and multimodal ingestion — what to use when, with code.
Chinese AI lab Z.ai released GLM-5.2 to their coding plan subscribers on June 13th, and then yesterday (June 16th) released the full open weights under an MIT license. Similar in size to their previous GLM-5 and GLM-5.1 releases this is a 753B parameter, 1.51TB monster - with 40 active parameters (Mixture of Experts). GLM-5.2 is a text input only model - Z.ai have a separate vision family most recently represented by GLM-5V-Turbo , but that one isn't open weights. GLM-5.2 has a 1 million token context window, up from GLM-5.1's 200,000. The buzz around this model is strong. Artificial Analysis, who run one of the most widely respected independent benchmarks: GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index . GLM-5.2 is the leading open weights model on the Intelligence Index v4.1. At 51, it leads MiniMax-M3 (44), DeepSeek V4 Pro (max, 44) and Kimi K2.6 (43) They did however find it to be quite token-hungry: GLM-5.2 uses more output tokens per task than other leading open weights models: the model uses 43k output tokens per Intelligence Index task, up from GLM-5.1 (26k) and above MiniMax-M3 (24k), Kimi K2.6 (35k) and DeepSeek V4 Pro (max, 37k) The model is also now ranked 2nd on the Code Arena WebDev leaderboard , behind only Claude Fable 5. That leaderboard measures "front-end web development tasks, including agentic coding workflows". I'm impressed to see it rank so highly given the lack of image input, which I had incorrectly assum…
Toddlers see better than AI... here's why that's a problem
CSET’s Helen Toner shared her expert insight in an article published by Axios. The article examines the U.S. government’s intervention involving Anthropic’s AI models and the broader debate over how frontier AI systems should be regulated and overseen. The post Anthropic-U.S. battle highlights AI power struggle appeared first on Center for Security and Emerging Technology .
CSET’s Hanna Dohmen shared her expert insight in an article published by The Verge. The piece examines the U.S. government’s unprecedented use of export controls to restrict access to Anthropic’s AI models. The post Anthropic got hit by export rules nobody understands appeared first on Center for Security and Emerging Technology .
PL 1828/2023, incluído na pauta do Plenário para 17 de junho de 2026, autoriza câmeras de reconhecimento facial em estações de metrô, trens, ônibus, vias públicas e repartições públicas em todo o país. Pedimos a sua retirada imediata da pauta. O post Câmara pode votar a qualquer momento projeto que transforma o Brasil em Estado de vigilância facial apareceu primeiro em Data Privacy Brasil Research .