Find published research by company, product, platform or technology.
Showing 21–40 of 211 dossiers
The most broadly relevant issue lets attackers potentially drive TLS retransmission state into unbounded behavior or acknowledge packets that cannot be outstanding. Several additional fixes narrow local or configuration-dependent Windows attack paths.
The two August 28 changes move a common production-agent problem out of bespoke application code: builders can derive memory boundaries from authenticated JWT claims, enforce them with Cedar policy, and organize the stored memory using runtime tenant dimensions.
Demand Gen is becoming a broader acquisition system rather than only a visual campaign type: advertisers can test conversational lead capture, travel offers tied to destination context and AI-assisted horizontal/vertical video production from one campaign surface.
CS-4 combines three WSE-3 Turbo wafers with Cerebras’ Nexus rack design. The practical shift is architectural: compute, power and I/O become modular, while Cerebras now says the same platform is intended to support CS-5 in 2027 and a 3D-memory CS-6 generation after that.
Sentence Transformers 6 now has both unified multi-vector inference and a documented end-to-end training workflow. A new project-authored benchmark shows fast domain adaptation on a single GPU, but the result is workload-specific and index costs remain high.
DeepSeek has extended V4 Flash with an experimental multimodal API model. Builders can send images by URL, base64 or Files API, reuse uploaded files across requests, and pay the existing V4 Flash token rates; the original 304B text weights remain separately available under MIT for self-hosting.
Gemini 3.8 Flash keeps 3.7 Flash’s promotional per-token rate and Flash-tier latency, but early independent analysis suggests harder reasoning can increase tokens consumed per task. A separate 3.8 Flash Cyber model is available only through Google’s Fairwind defensive-security program.
The staged release is complete: GLM-5.3’s public weights and serving artifacts are now available. That makes Z.ai’s coding and cyber-capability claims independently testable while turning the earlier safety delay into a concrete self-hosting and audit decision.
Cloud Run instances sit between autoscaling serverless services and a small VM. They run one individually addressable container continuously, can be stopped and restarted, and use shared CPU economics; Google’s launch example prices 1 vCPU plus 1 GiB running for 30 days at $5.70.
TRACE targets a gap between audit promises and what an AI agent actually did at runtime. Its v0.2 developer preview can bind model, policy, data and tool-use claims to confidential-computing attestation, but it is still pre-ratification and explicitly not ready to treat as a production compliance guarantee.
Ada has added code tools that run a restricted Python subset inside agent conversations. They can transform API responses, perform deterministic calculations and call allowlisted domains, while MCP-authored changes can be staged and reviewed before promotion.
Codex 0.149.0 includes the async-message tool, delivery metadata and removal of the client-side feature gate that BTN previously tracked only on main. Parallel human-agent work is now in a stable client, but late replies can still race with decisions and model capability metadata remains the final exposure gate.
Muse Voice Transcribe gives voice-app builders one streaming model for transcription, speaker separation and turn detection instead of stitching those stages together. Its low published price is notable, but Meta’s benchmark claims still need workload-specific validation.
K2 Horizon is notable less for another benchmark claim than for reproducibility: IFM is publishing model weights, architecture, training code, data or construction recipes, evaluation resources and intermediate training material instead of stopping at a final checkpoint.
Cursor has become a concrete example of coding-tool supplier risk: a corporate acquisition can trigger a frontier-model provider’s change-of-control rights and remove a major model family from the product even when the coding tool itself remains operational.
The AI Compute Partnership tied Nvidia more directly to the capital structure and utilization risk of emerging cloud providers. Reuters says the initiative is now paused amid concerns about circular demand, control over partners and antitrust exposure, although Nvidia says the broader compute-access model continues to evolve.
The pilot attacks a persistent evaluation trade-off: labs do not want to reveal frontier-model internals, while evaluators do not want benchmark prompts leaking back to the model provider. DeepMind says a Singapore AI Safety Institute pilot kept both sides’ sensitive assets hidden during execution.
X's replacement creator program now has detailed eligibility and payout rules: qualified impressions must come from Premium users on the Home Timeline, originality is explicitly policed, paid or artificial impressions do not count, and existing Revenue Sharing members must re-apply from September 8.
Apple’s October EU terms rewrite replaces the per-install Core Technology Fee with transaction commissions and lets alternative payments coexist with IAP. The exact rate table makes the economics clearer: developers need to model checkout method, program eligibility and distribution channel rather than install scale alone.
Cloudflare Workflows now prices steps and persisted state on paid plans, making workflow structure and retention part of the cost calculation for durable jobs and AI automation.