VERIFIED NEWS

What has changed and why it matters.

Releases and updates linked to profiles, context and primary sources.

DeepSWE v1.1: What a Patch That Passes Its Verifier Measures—and When Its pass@1 Stops Showing That the Agent Solved the Task

DeepSWE v1.1: What a Patch That Passes Its Verifier Measures—and When Its pass@1 Stops Showing That the Agent Solved the Task

DeepSWE v1.1 evaluates code changes produced by agents on original, long-horizon tasks. Its result can provide a useful signal, but a leaderboard row is interpretable only when the harness, error policy, rollouts, verifier, and exact benchmark version are known. A review by Epoch AI adds a specific warning: under certain evaluation conditions, some patches that modify tests can receive a false negative.

GPT‑Transcribe ASR Evaluation: How to Measure Text, Speakers, and Timestamps Without Hiding Errors That Break Downstream Workflows

GPT‑Transcribe ASR Evaluation: How to Measure Text, Speakers, and Timestamps Without Hiding Errors That Break Downstream Workflows

A useful automatic speech recognition evaluation cannot be reduced to a single accuracy percentage. This guide proposes a protocol for separately measuring text fidelity, critical entities, speaker attribution, timestamps, segmentation, and the validity of the output consumed by an application. The goal is to compare versions and configurations reproducibly, then decide with evidence when to promote, restrict, or block a deployment.

Generative Video in Production: How to Validate Continuity Between Shots, Actions, and Objects Before Publishing or Editing a Sequence

Generative Video in Production: How to Validate Continuity Between Shots, Actions, and Objects Before Publishing or Editing a Sequence

A generated shot can be convincing on its own and still be unusable when edited with others. This guide proposes a protocol for evaluating visual, spatial, and narrative continuity in generative-video sequences, recording their traceability, and deciding which clips are approved, which require intervention, and which must be discarded.

Claude Haiku 4.5: How to Operate a Low-Latency Lane After Haiku 3.5 Without Mistaking Minimum Retention for Guaranteed Continuity

Claude Haiku 4.5: How to Operate a Low-Latency Lane After Haiku 3.5 Without Mistaking Minimum Retention for Guaranteed Continuity

Claude Haiku 4.5 can be a destination for fast workloads after Claude Haiku 3.5 was retired, but a safe migration is not solved by changing an identifier. Documented minimum availability through October 15, 2026 does not guarantee indefinite continuity. The operational criterion is to demonstrate, using your own traffic and corpus, queue latency, schema compliance, tool use, and a reversible replacement path.

Voxtral TTS: what a team should validate before replacing a synthetic voice in production

Voxtral TTS: what a team should validate before replacing a synthetic voice in production

Mistral AI documents Voxtral TTS as a speech-generation service with streaming and several output formats. Before replacing a provider or model in calls, notifications, or published content, a team should verify not only audible quality, but also technical, operational, and data-contract compatibility through a regression suite using its own scripts.

Recent releases

News that modifies the map of models and capabilities.

03 SEP 2026 OPENAI

GPT‑6 Astra raises the bar for capacity

The launch requires reviewing evaluation, deployment and security.

Border model ↗
JUL 24, 2026 · ANTHROPIC

Claude Opus 5 prioritizes sustained work

Code and knowledge tasks with effort checks.

Knowledge ↗
SEP 2026 · GOOGLE

Gemini 3.8 Flash reaches stable version

Multimodality, code and agents with a low latency profile.

Stable version ↗

How to track an update

A news story does not end in the headline.

01

Open the profile

Relates the ad to version, access and modalities.

Identity ↗
02

Check price

Distinguish stable, introductory rates and missing data.

Cost ↗
03

Evaluate the statement

Review conditions and comparability before accepting a benchmark.

Evidence ↗