Find published research by company, product, platform or technology.
Showing 161–180 of 280 dossiers
Meta has made the privacy-versus-price trade explicit in its Model API: developers can choose standard pricing or a contributor model ID with steeply discounted inference in exchange for training-data permission. The choice matters for proprietary code, customer data and AI SaaS workloads.
Computer Use is now GA in both Gemini APIs, but it is an action-planning tool, not a hosted remote desktop: clients execute clicks and keystrokes and must handle safety decisions.
New paid Gemini API projects now default to store=true on generateContent, streaming and batch calls; older projects retain their settings. Developers can opt out per request or project.
A graph, an HTML Preview and a trusted virtual-keyboard message listener combined to bypass ChatGPT's iframe boundary. The fix is reported shipped, but the incident offers a practical warning to anyone embedding untrusted interactive content.
The incidents do not have a proven common attacker. Wiz's forensic evidence shows downstream abuse and resale of stolen keys, not that every platform breach caused the same misuse.
The new $0-subscription tier no longer lists starter credits, while three simultaneous requests are now permitted. Builders should check prepaid balance, model prices and queues before relying on the service.
The trillion-parameter Mistral Large 4 is no longer API-only; builders can self-host, but must assess licence and hardware limits.
GitHub's multi-model coding orchestration is now GA, with admin-controlled model pools and per-model charges. Local routing remains experimental and cloud-dependent.
MLflow CrewAI autologging silently logged API keys; 3.17.0 patches it, but previously exported traces and keys still need remediation.
Cloudflare discloses cross-tenant GLM-5.3 Workers AI responses caused by a KV-cache rejection bug; SGLang v0.5.22 is recommended for disaggregated inference operators.
TorchNeuron changes the software portability equation for Trainium, making it easier to test non-NVIDIA AI accelerators without rewriting the model stack. Beta gaps still demand model-by-model verification.
The PyTorch 2.15 RC changes what Apple-silicon developers can run locally: FP8, faster MPS decoding, new GPU operators and a video VAE memory fix. The reported 5–6.5x gain is not universal.
The unusual risk is that Python startup hooks execute without an application importing LiteLLM, while the public source tag lacked the malicious files. Check the exact installed wheel or image digest, not just the repository.
Google Cloud customers gain a new route to OpenAI models with unified governance and cloud-commitment billing, but broad availability and some privacy features are still forthcoming.
Clairic joins Clef as a specialised one-pass model on Workers AI; typed extraction has a different failure model from LLM-generated JSON, with vendor-only benchmarks and preview limitations.
A detailed engineering case study links a 68% AI-review cost reduction to prompt-cache structure and effort tuning, with security-review trade-offs still unresolved.
AI image and social-app developers face clearer moderation and review obligations; hiding features can threaten an entire developer account.
Production integrations using GPT-4o, GPT-4o mini, GPT-4.1 or GPT-4.1 mini dated snapshots need model inventory, tool-call regression testing and migration before January 14, 2027.
The base and distilled checkpoints run in Diffusers and ComfyUI, with vendor-reported 1MP generation in under nine seconds on an RTX 4070. Commercial output rights for smaller businesses depend on the FLUX Kommunity License and a $5M annual-revenue threshold.
OpenAI's Ultrafast tier has moved beyond its GPT-5.6 preview: GPT-6.1 Sol access is broad and pricing is documented at 6× Standard.