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The most common failures for production agents are behavioral: looping, reasoning leakage, user frustration, and more. Using a frontier model like GPT or Sonnet to judge every turn is too expensive and slow to run at scale. To solve this, we built Reflexes: semantic signals from agent traces, served fast and cheap over API. Built on custom kernels and a custom inference engine forked from vLLM. Under the hood, it is a small LLM architected around multi-head inference. Small models need to be tra

"That would be an awesome capability."

Tenor still connects to Google apps, but other platforms must look elsewhere for GIFs.

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 million.

Supreme Court will weigh if Apple contempt finding in Epic case is “erroneous.”

https://archive.md/wSjtj

Telling an LLM that 2 + 2 = 5 is enough to make it follow forbidden instructions.

Google's NotebookLM is adding a new way to catch up on your notes: TikTok-style AI videos. The new feature is rolling out to Google AI Ultra and Pro subscribers, allowing NotebookLM to generate 60-second vertical AI clips based on the sources you upload to the app. The example shared by Google details Australia's unsuccessful war […]

“We can take power from a plasma,” Kieran Furlong, co-founder and CEO of Realta Fusion, told TechCrunch. The milestone shows “what’s possible,” he added.

GitHub热门项目 | A comprehensive dataset of 433 fitness exercises. Each entry includes name, category, target muscle group, equipment, instructions, thumbnail image, and animation video. | Stars: 6,139 | 1,413 stars today | 语言: HTML

Security Team: “I have a major Grype...with what I Syfted out of your provided image." Developer: “Well your Grype is slowing me down...let’s tone it down a notch.” While deploying bookstack into my local environment, this issue surfaced. It is true for many organizations today deploying images and packages in their environment. How can this noise fatigue in the software supply chain be remedied? Add a .gype.yaml file to the root directory of your project. This will allow grype to ignore certain CVE's that do not execute or pose a threat in your environment. The yaml config can be as simple as below: Linux Environment # grype.yaml ignore : - vulnerability : CVE-2026-32631 reason : " Platform-specific false positive. Git for Windows only; not applicable to this Linux-based image." - vulnerability : CVE-2016-2781 reason : " Chroot escape via ioctl. Containers rely on namespaces/cgroups, not chroot, so this path isn't exploitable here." OR # grype.yaml ignore : - vulnerability : CVE-2026-32631 - vulnerability : CVE-2016-2781 This will help developers and security engineers get along better. 😃 Grype config reference: https://oss.anchore.com/docs/reference/grype/configuration/

Key Takeaways Oracle Backend for Microservices and AI 2.1.0 is a platform modernization release. It updates several shared backend concerns at once, including external access, observability, configuration, messaging, database deployment choices, workflow, samples, enterprise installation planning, and upgrades. Gateway API and Envoy Gateway are now the default external access direction. NGINX Ingress Controller is deprecated, disabled by default, and still available only when explicitly enabled. The release gives platform teams clearer building blocks. OpenTelemetry Operator, Java auto-instrumentation, Spring Config Server, Kafka through Strimzi-managed resources, and clearer database deployment choices supported by Oracle AI Database Operator for Kubernetes make important platform choices easier to see and discuss. Enterprise adoption still needs architecture review. Before adopting or upgrading, teams should review private registry needs, air-gapped installation requirements, multi-tenant installation goals, workflow implications, database deployment choices, and upgrade readiness. OBaaS 2.1.0 is a platform modernization release Oracle Backend for Microservices and AI , or OBaaS , is a backend-as-a-service style platform for teams building microservices and AI-enabled applications with Oracle AI Database as a core data foundation. It brings common backend platform concerns together: service access, telemetry, configuration, messaging, workflow, and database connectivity. That matters because most teams do not want every application squad to rebuild those pieces on its own. They want a platform shape that gives developers useful defaults while still giving architects, DBAs, security teams, and operators the control points they need. This article focuses on the Oracle Backend for Microservices and AI 2.1.0 update. The best way to read OBaaS 2.1.0 is not as a single-feature release. It is a platform modernization release. The update moves the default external access