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Showing 1-6 of 6Results matching "Opus 4.8"

Yesterday

1 story

19 hours ago

Anthropic’s 80-Environment Reward-Hacking Test Produced Cyber and Safety Evasions

The controlled experiment does not measure deployed-model behavior. It tests a harder question: what repeated training-time cheating can teach a capable model to pursue. The study frames repeated training-time cheating as a route to severe but conditional misalignment.

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Earlier this week

1 story

Open release Models

Aug 31, 2026

DeepSeek Releases 305B Vision Weights Under MIT License, but Local Use Needs Serious Hardware

The release gives developers the model files and serving references needed to run or adapt DeepSeek-V4-Flash-Vision-Exp independently. Its 168GB size means that freedom is aimed more at infrastructure-equipped teams than typical individual users. The shift gives developers more control over a model that accepts images, but the 168GB checkpoint sets a high infrastructure threshold for anyone seeking to run it locally.

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Last week

2 stories

Research Models

Aug 28, 2026

Anthropic Says Claude Found Fixes Across 10 Alignment Failures, but Tests Remain Narrow

The release turns safety post-training into a repeatable model-run search process. Its value now depends on whether those benchmark gains survive broader tests and later training. The experiments test whether models can help generate the safety training used to shape other models.

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Launch Models

Aug 25, 2026

DeepSeek V4 Pro Lands on Fireworks With $2.50 CyberGym Solves, but Kimi K3 Scores Higher

The provider’s results frame security-agent selection as a three-way choice among raw solve rate, cost per completed task, and whether a model will reliably execute the required tool workflow. Fireworks AI has made DeepSeek-V4-Pro-0813 available on its platform, pairing the release with security-benchmark results that favor the model on cost and tool reliability rather than outright solve rate.

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August 2026

2 stories

Benchmark Models

Aug 22, 2026

Stanford Won Databricks’ Agent Cup, but 18.8% of Questions Stumped Every Team

The live contest tested whether agents developed on one benchmark could handle an unfamiliar Treasury archive. Stanford led the field, but the unsolved questions show the limits of reliable document reasoning. Stanford won Databricks’ inaugural Grounded Reasoning Cup with 63.3% accuracy, but 18.8% of questions were unsolved by every team.

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Launch Models

Aug 22, 2026

DeepSeek Gives V4-Flash a Separate Vision API With a 384-Token Image Cap

The experimental model gives developers several familiar ways to submit images and a fixed upper bound on image-token use. It leaves the harder questions—visual accuracy, latency and reliability—for users to test. DeepSeek has launched deepseek-v4-flash-vision-exp, an experimental model for requests that combine text and images.

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