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Posts tagged as “OpenAI”

WSJ: OpenAI Scraps Release of New AI Model Over Safety Concerns  

September 29, 2026

Maxwell Zeff, reporting for Wall Street Journal;

OpenAI says it is scrapping the release of its next-generation AI model over safety concerns that researchers raised during internal testing, in one of the clearest signs so far that agent misbehavior could stymie the industry’s rapid progression.

The move follows a summer punctuated by reports of artificial-intelligence systems industrywide going rogue, and marks a rare case of a major AI developer ditching a new release because of safety concerns.

This announcement comes less than a month after unveiling GPT-6 Astra and calling it “the world’s most intelligent and aligned model.“

Anthropic Prepares Frontier Competitor to Counter OpenAI’s GPT-6 Astra

September 21, 2026

Anthropic is preparing to launch a new frontier model to counter OpenAI’s forthcoming GPT-6 Astra. The move marks a strategic shift for the safety-focused public benefit corporation, highlighting growing tensions amidst intensifying market pressures and the relentless economics of the AI ecosystem.

A Strategic Pivot in the Frontier Arms Race
Since its founding, Anthropic has centered its public messaging around cautious development, alignment research, and calls for industry-wide safety guardrails. CEO Dario Amodei recently advocated for proposals to “pace the frontier” through independent evaluators and coordinated international standards.

However, reports indicate that the company is expediting its next major release to match OpenAI’s upcoming GPT-6 Astra. Observers view this move as a striking reversal—a decision driven by the stark reality that falling behind in model capabilities risks irrelevance, regardless of a company’s safety-first philosophy. The pivot exposes the friction between adhering to measured deployment frameworks and maintaining market viability against competitors.

Doubling Down on Specialist Intelligence: Fable 5.1 and Mythos 5.1
While preparing its answer to GPT-6 Astra, Anthropic has also expanded its current product lineup with the release of Fable 5.1 and Mythos 5.1. Designed to push past general conversational interfaces, these releases target heavy enterprise usage and domain-specific problem-solving:

  • Advanced Coding & Systems Architecture: Both models deliver improved capabilities for multi-file codebase navigation, refactoring, and autonomous engineering workflows.
  • Knowledge Work & Technical Operations: Fable 5.1 and Mythos 5.1 offer elevated reasoning for dense document analysis, complex financial modeling, and structured data synthesis.
  • Scientific Research Capabilities: Anthropic highlighted that these models provide an early look at how AI systems will actively contribute to scientific discovery, offering advanced hypothesis testing and research support.

Balancing Ecosystem Growth and Safety
The push toward a new flagship model comes alongside significant operational milestones for Anthropic, including expanding enterprise adoption and advancing its scientific initiatives—such as its newly launched Bay Area biology laboratory.

As OpenAI prepares to roll out GPT-6 Astra, Anthropic’s dual strategy—releasing specialized workhorses like Fable and Mythos 5.1 while accelerating its next frontier model—demonstrates that the company intends to compete directly at the bleeding edge, even as the debate over safety guidelines continues.

Source: Reuters

OpenAI Unveils GPT-6 Astra, Its Most Advanced Model Yet

September 7, 2026

OpenAI has launched GPT-6 Astra, which it’s calling the world’s most intelligent and aligned model. The company says Astra brings together years of research and big bets across pre-training, reinforcement learning, and alignment, and that it is state-of-the-art on computer use, browsing, software engineering, cybersecurity, science, and professional work.

Technical Capabilities & Benchmark Highlights
On native computer use and workflow automation, Astra interacts directly with digital environments by browsing websites, filling out CRM records, managing calendars, and running frontend QA checks. On the OSWorld 2.0 latency simulation, Astra scored 72.6% in roughly 40 minutes per task, outperforming GPT-5.6 Sol (65.7% in 75 minutes) while completing tasks 47% faster.

Regarding context limits, the model features a 1,050,000-token input context window and supports up to 128,000 output tokens, allowing it to process massive repositories, long documentation sets, and complex codebases without breaking context.

Designed as OpenAI’s primary software engineering model, Astra reached 57.9% on Terminal-Bench 4.0 for advanced coding and system engineering. It retains long-horizon conversation context within Codex, allowing it to search past interactions asynchronously to solve complex infrastructure bugs.

For scientific and mathematical reasoning on graduate-level evaluations, Astra recorded 96% on GPQA Diamond, 98% on FrontierMath Tier 4, and 99.9% on ARC-AGI-3.

In cybersecurity capabilities, Astra achieved a 100% score on ExploitBench (without production safeguards) and 42.4% on ExploitGym for vulnerability analysis and defense patching. Production versions include strict guardrails that refuse automated exploit creation.

Benchmark Comparison

Evaluation Metric GPT-6 Astra GPT-5.6 Sol Claude Fable 5.1
Agentic Coding (Terminal-Bench 4.0) 57.9% 37.3% 55.8%
Computer Use (OSWorld 2.0) 72.6% (~40 mins) 65.7% (~75 mins) —
Cybersecurity Vulnerability (ExploitBench) 100% 78.5% —
Scientific Reasoning (GPQA Diamond) 96% — —

API Pricing and Deployment Rollout
Standard API pricing for Astra is set at $10 per million input tokens and $50 per million output tokens. The model is deployable across the OpenAI API, OpenRouter, Microsoft Azure, and AWS Bedrock.

OpenAI is rolling out access across ChatGPT Plus, Pro, Business, and Enterprise accounts. Workspace access is toggled off by default for enterprise administrators to allow security auditing, and eligible enterprise API customers can enable Zero Data Retention (ZDR) policies upon deployment.

GPT-6 Astra marks an operational pivot for OpenAI. Rather than simply retrieving answers or writing code snippets, the model is engineered to execute long-horizon, multi-step workflows across terminal windows, local applications, and enterprise browsers with lower token consumption.