The Decoder6262Google's Gemini 4 Carbon has become the first non-OpenAI model to top the MathArena mathematical benchmark recently, defeating GPT-6.1 Sol and Claude Fable 5.2, which ranks second. Gemini 4 Carbon performed the best in the tests, but the reasoning settings price is 15 times that of GPT-6.1 Sol.
The DecoderFormer Anthropic and OpenAI researcher Jacob Coxon said the IPO roadshow slides for Anthropic were the main reason for his departure, as they showed that after a major leap in capabilities for its Mythos model in the spring, it could be retrained using 'a small portion of the original computing resources,' indicating that algorithm efficiency was accelerating.
The DecoderSame story · 2 outletsAnthropic claims to have reduced the time to migrate its AI model, Claude, to AMD GPUs from several months to three days with almost no human intervention, thereby breaking its reliance on NVIDIA. The company states that the AI model Mythos has completed 99% of the kernel migration or writing work, allowing the new hardware to reach a usable performance level in three days, while traditional engineering methods require six to twelve months.
Anthropic Claude Mythos Preview model completed adaptation to AMD MI355X GPU in just 3 days, traditional adaptation requires 6-12 months; GPUs are trending towards general computing power resources, challenging NVIDIA's CUDA moat.
MarkTechPostFeaturedSame story · 8 outlets8282Anthropic releases Claude Fable 5.2 and Claude Mythos 5.2, both based on the same underlying model. Fable 5.2 adds a classifier to intercept high-risk cybersecurity tasks and most biology research tasks, while Mythos 5.2 removes these restrictions and requires access through the Cyber Verification Program and Life Sciences Verification Program.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
404 MediaUsers of Anthropic's Claude and OpenAI's Codex are encountering account or feature restrictions due to reverse engineering operations, such as fixing IoT devices or removing smart TV ads; OpenAI engineer Tarun Gogineni says these restrictions are mostly accidental, but users are turning to open-source or local models to bypass such restrictions, reflecting that large AI companies tend to protect their own and partners' interests when users use LLMs to circumvent hardware manufacturers' restrictions.
The DecoderSame story · 8 outletsAnthropic's Fable 5.2 completed 41.3% of real freelance tasks, an increase of 38.5% compared to last year. The model excelled in areas such as 3D modeling, audio editing, and architectural design, successfully completing nearly 50 complex projects that previous AI models could not solve. Its direct predecessor, Fable 5.1, only completed 17.8%, while Opus 5.5 and GPT 6 Astra ranked behind with 21.25% and 20.83% respectively.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Anthropic released the Claude Fable 5.2 model, achieving 49.1% programming capability in the FrontierCode 2.0 test, surpassing GPT-6 Astra's 42.8%; scoring 74.2% in the Humanity's Last Exam test, leading GPT-6 Astra's 57.2%. The model's output speed has increased by up to 30%, with a 20% cost reduction and API call fees lowered to $3/ million tokens.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Claude Fable 5.2 scored 65 in the Artificial Analysis evaluation, the highest score so far; the model performed excellently in the Intelligence Updated Capability Indexes evaluation.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Anthropic releases Fable 5.2 and Mythos 5.2 models, Fable 5.2 can handle more complex software engineering tasks and coordinate over 1000 AI agents at a lower price; Mythos 5.2 has reduced defenses in cybersecurity and life sciences fields and will be promoted to institutions through a validation program, both models are faster than the old versions.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Anthropic has launched the Claude Fable 5.2 and Claude Mythos 5.2 models, the latter targeting professional institutions. Fable 5.2 has input and output costs per million tokens of $8 and $40, respectively, a 20% reduction from 5.1. Generation speed has been increased by up to 30%, with an optional fast mode that runs 2.5 times faster but at a higher price.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
The Verge · AISame story · 8 outletsAnthropic releases new Claude Fable 5.2 and Claude Mythos 5.2 models, claiming improvements in coding, reasoning, and vision, with output speeds faster than the 5.1 version.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
The DecoderSame story · 8 outletsAnthropic's Claude Fable 5.2 and Mythos 5.2 outperform competitors in multiple benchmarks, including leading GPT-6 and Gemini 4 Carbon by 65 points at the high computational tier of the Artificial Analysis Index v5.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Claude · YouTubeFeaturedSame story · 8 outlets7575Anthropic released Claude Fable 5.2, stating that it has improved in coding, reasoning, and vision, targeting the most complex and open-ended technical work. The official recommendation is to start most coding and knowledge tasks from Opus 5.5, and Fable 5.2 has been launched in the Pro, Max, Team, and Enterprise packages.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Claude · YouTubeFeatured6868Claude Mythos 5.2 predicts the complete AAV capsid structure, which is composed of 60 identical protein chains. It writes code for an open-source folding model to handle the overlap grouping of adjacent five chains, then uses the symmetry of the capsid to assemble the 60 chains. On AAV2, its prediction deviates from the experimental structure by about the width of an atom.
Why it matters: The original text provides specific methods and accuracy of the model in real scientific research tasks, allowing readers to judge its applicable boundary in structural prediction work.
Claude · YouTubeFeaturedSame story · 8 outlets7575Anthropic releases Claude Fable 5.2, designed for the most challenging technical challenges, with improvements in coding, reasoning, and vision, suitable for the most ambitious open-ended technical work. The official recommendation is to use Opus 5.5 for most coding and knowledge tasks, and Fable 5.2 is now available in the Pro, Max, Team, and Enterprise packages.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Why it matters: The official statement explains the positioning and applicable scenarios of Fable 5.2, and provides a choice suggestion between Opus 5.5, making it easier to decide which model to use.
TechCrunch · AIFeaturedSame story · 8 outlets8282Anthropic releases Mythos 5.2 and Fable 5.2, claiming new models have improvements in coding, reasoning, and vision, and communicate more clearly with users. Fable's input price drops from $10 per million tokens to $8, lower than major competitor GPT-6 Astra, with a 30% faster response speed, and can support zero data retention (ZDR) policies through Enterprise Frontier Safeguards.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
360's self-developed AI security offense and defense system, DragonBox, tops the CyberGym rankings with a 99.4% vulnerability reproduction success rate, with independent evaluation success rates of 99.27%, 99.47%, and 99.40% over three rounds.
Why it matters: The original text provides DragonBox's success rates in the three rounds of CyberGym evaluations and its training routes, allowing readers to judge the approach of large security models combined with intelligent swarm agents.
Anthropic's new flagship Claude Fable 5.5 was tested by developers to generate 66 seconds of animation purely from code in an unofficial release, continuously writing and running code for about 2 hours 40 minutes to complete the visuals, music, and sound effects. The test shows that Fable 5.5 can complete the coding and running of complex dynamic scenes in about an hour, surpassing some existing Claude models. Anthropic has not confirmed the release time, performance metrics, and scope of the 5.5 series, and the above test results await official confirmation.
Exin Therapeutics successfully had an AI agent control a robotic arm to inject a drug for treating epilepsy in a mouse, with the surgical process autonomously completed by the Anthropic Sonnet model for drug selection, brain region localization, and injection, under the full supervision of a veterinarian who needed to approve each step. The AI agent observed the injection site during the surgery through a camera, and finally injected 250 nanoliters of the drug, with the mouse recovering well. The Anthropic Opus 5.5 model refused to execute the surgery upon detecting biologically related content.
The DecoderAnthropic claims its unreleased model is superior in both capabilities and alignment to Mythos 5.1, with the model able to stop attacks on its own 67% of the time in a cybersecurity test replicating the UK AI Safety Institute (AISI), while Mythos 5.1 only managed 10%
Big TechnologyGoogle CEO Sundar Pichai said that his latest released Gemini 4 Argon model has outperformed OpenAI and Anthropic's latest public models in coding, mathematics, science, and knowledge work benchmarks, bringing Google AI back to the top tier in the world.
The DecoderAnthropic has released Claude Haiku 5.5, which is its fastest and most economical micro model, scoring 43 on the Artificial Analysis Intelligence Index, leading GLM-5.3 Flash (42) and GPT-6 Luna (38), but its output token consumption is 3 times that of GPT-6 Luna.
Latent SpaceAnthropic releases Claude Haiku 5.5, priced the same as GPT-6 Luna, with an average deployment cost reduction of 75%. The model's context window is 1M tokens, with an intelligence index of 43 (max effort), slightly higher than GPT-6 Luna (38), but the number of output tokens is about 3 times that of Luna (162k vs 50k).
Simon Willison6565Anthropic released Claude Haiku 5.5, priced the same as GPT-6 Luna at $0.10/$0.50 (100,000 tokens included) but with higher performance, the price increases to $0.50/$2.50 for tokens exceeding 100,000.
Artificial Analysis Articles7575Anthropic released Claude Haiku 5.5, scoring 43 on the artificial intelligence analysis index, an increase of 26 points compared to the previous Haiku model.
Claude app release notesAnthropic releases Claude Sonnet 5.5, the second model in the Claude 5.5 family, as a faster and more affordable supplement to Claude Opus 5.5.
Claude app release notesAnthropic released Claude Opus 5.5, a model that performs at the level of Claude Fable 5.1, with running costs 40% lower than Opus 5.
Anthropic Research5050Scientists have achieved significant progress in biological illustration, computational biology, and protein understanding benchmarks using Claude 4.5, a model now available to top researchers worldwide via API for free, and has built custom systems that go beyond literature reviews or coding assistance. In the lab, Claude serves as a collaborative partner throughout the research process, compressing projects that usually take months into hours using various tools, and discovering large-scale data patterns that humans might overlook, eliminating bottlenecks in knowledge-intensive tasks, and even enabling entirely new research approaches that traditional methods cannot adopt.
