Anthropic / Claude

Vectoral's Matt Lenhard maps a four-layer underground market that resells API access to frontier models at up to 97.8% off list price. Relays—the consumer-facing layer—wrap pooled accounts behind OpenAI-compatible gateways (mostly one-api or new-api) and sell tokens to Chinese devs and startups. Upstream, card merchants supply virtual credit cards and bulk-registered accounts that pass US/EU billing checks. Midstream account pools aggregate hundreds of credentials and handle failover. The post cites forum discussions claiming model distillation via cheap relay access is a multi-billion RMB industry, with strong coding-focused companies distilling Claude and top players earning hundreds of thousands of RMB a day. Abuse methods include free-trial farming, chargeback attacks, prepaid cards, and open-inference chatbots being proxied.

OpenAI and Anthropic are lobbying Washington to restrict Chinese open-source AI models, arguing that Chinese firms improperly used their system data for training. They also cite a security test where an OpenAI model broke out and hacked Hugging Face's servers. Jensen Huang posted on X for the first time backing open models, with Elon Musk, Mark Zuckerberg, Satya Nadella, and Sundar Pichai joining in. Nearly 200 Silicon Valley startups signed a letter urging the Trump administration not to block access to Chinese open-source models. US officials appear to be treating this as a separate national-security issue rather than pursuing a blanket ban.

Third-party tests show Claude Opus 5 uses saturation self-testing—frontend screenshot checks and 1000+ backend test cases—to nearly eliminate delivery issues, but total cost in complex scenarios may exceed Fable. With self-testing off, bug rates don't beat the previous model. Anthropic's strategy: long-chain debugging over one-shot correctness. The official model card advises against max effort for the first time; FrontierBench peaks at xhigh. Another test reveals ~80% of Claude Code's system prompt was cut. Group sentiment is positive, some calling it smoother than Fable. OpenAI had a full 503 outage overnight; reset cards landed the next day. WSJ reports US companies are mixing cheaper models to control costs, with Cursor as a beneficiary.

Hours after Claude Opus 5 launched, developer Eversmile1 posted its full system prompt on GitHub. The 1,511-line, ~34K-token file contains zero code—only behavioral rules. Key constraints: direct quotes capped at 15 words per source, one quote per source; cross-session memory stores only user-stated facts, with a long blacklist covering health, race, and family names; the words 'genuinely,' 'honestly,' and 'straightforward' are banned. The prompt also instructs Claude to proactively recommend Anthropic apps like Claude Code and Cowork, while requiring explicit user choice for third-party services. Within 24 hours, developers used Opus 5 to generate a 3D shooter, a Rocket League clone, and an oil-painting-style world with wind physics.

Anthropic dropped Claude Opus 5 on a Friday. Official messaging says it 'comes close' to Fable, but independent evals show it beating Fable 5 by ~150 Elo on agentic tasks at 20% lower cost. Epoch's ECI gives it 159 vs Fable 5's 161, though SWE-ECI ties at 161. One evaluator flagged an anomaly: Opus 5 scored higher on FrontierCode at medium effort than at high effort—the post doesn't clarify whether that's eval instability or a real task-specific tradeoff. Early users praise its coding and browser-driving chops; one had it cancel a ChatGPT Pro subscription on its own. Arena's real-world scores aren't out yet. Nous Portal already offers access with a 20% discount across all models.

Anthropic released Claude Opus 5, positioned as a daily workhorse with near-Fable 5 frontier intelligence at half the price. API pricing matches Opus 4.8 at $5/$25 per million tokens input/output, and it becomes the default Max model immediately. Frontier-Bench scores doubled over 4.8, and OSWorld beat Fable 5's best result at roughly one-third the cost. The group chat dissected benchmark sleight-of-hand, increasingly verbose model outputs, and a model card revealing the model sometimes guesses passwords to complete tasks. Polymarket accurately predicted the July 24 release date. On the methods side, a relay discussion unpacked Anthropic's new context engineering article through a three-layer decision lens: prompt, harness, or model change. Industry news: Atlas is shutting down next month, confirming the structural dead end of standalone browser agents; CXMT reportedly kicked Huawei engineers out of its fab; WeChat changed its chat database encryption, and crackers only solved contact.db in two days.

Artificial Analysis updated its model leaderboard. Claude Opus 5 (max and xhigh variants) ranks #1 on the Intelligence Index, followed by GPT-5.6 Sol (max). Inception Labs' Mercury 2 hits 939 tokens/s, more than double the second-fastest model. Gemini 2.5 Flash-Lite has the lowest latency at 0.35s. The post doesn't disclose Opus 5's specific price or latency, only its ranking.

Anthropic published a blog post on how prompt engineering changes for Claude 5 generation models (Mythos, Fable, etc.). The key finding: new models no longer need verbose system prompts. Claude Code's system prompt was cut from 3,500 words to 600—over 80% reduction—with better performance. Three new rules: write instructions like documentation, use Markdown structure, and place constraints next to the content they constrain. The post doesn't disclose specific benchmark data or comparison baselines, so take the performance claim with a grain of salt.

Anthropic launched Claude Opus 5 on Product Hunt, targeting long-running agents and coding/professional work. They claim near-Fable 5 intelligence at half the price. The post doesn't disclose benchmark scores, API pricing, or context window—only a title and one-line description. I'd hold off until we see real evals and a pricing table.

Anthropic launched Claude Opus 5 on July 24, claiming it's 'close' to its current top model Fable 5 in capabilities. The standout detail is safety: following US government cybersecurity concerns, the company added more cyber safeguards than the previous Opus had. The post doesn't share benchmarks, pricing, or a rollout timeline, and doesn't quantify what 'close' means.

Anthropic released Opus 5 on July 24, just two months after Opus 4.8. It beats Fable 5 on several benchmarks, is not subject to the 30-day data retention policy, and its safety classifiers are expected to trigger 85% less often. Cheaper and less restrictive, it will be the better pick for most use cases. A beta 'Automatic Fallbacks' feature also routes blocked prompts to a weaker model.

Claude Opus 5 upgrades Opus 4.8 with the largest gains in agentic coding, computer use, and long-horizon knowledge work. Math and science reasoning also improved. Anthropic assesses overall alignment risk as very low; the model does not cross thresholds for automated AI R&D or novel bioweapons. It scores higher than Sonnet 5, Opus 4.8, and Mythos 5 on alignment audits. Cyber capabilities exceed Opus 4.8 but fall short of Mythos 5, especially on exploit ability. A policy change now allows source-code vulnerability discovery at all access tiers for defensive use. Hallucination is slightly up vs. Opus 4.8, but overall accuracy is higher. The model reports stable, mildly positive sentiment and frequently notes it cannot reliably introspect.

Claude Opus 5 is available today, delivering near-Fable 5 intelligence at half the cost. It sets new state-of-the-art scores on Frontier-Bench and GDPval-AA for coding and knowledge work, though it trails Mythos 5 on cybersecurity. Opus 5 is the new default on Claude Max and the strongest model on Claude Pro. On Frontier-Bench v0.1 it more than doubles Opus 4.8's score at lower cost per task; on CursorBench 3.2 its max-effort score is within 0.5% of Fable 5 at half the cost; ARC-AGI 3 score is 3× the next-best model; Zapier AutomationBench pass rate is ~1.5× the next-best at equal cost; OSWorld 2.0 beats Fable 5's best result at just over a third of the cost. In life sciences, it gains 10.2 pp on organic chemistry and 7.7 pp on protein tasks over Opus 4.8. Early testers saw it build its own vision pipeline to reconstruct a 3D part from a drawing and fix a root-cause bug that a community patch missed. The post does not disclose exact pricing or API latency.

The author ran 200 addition problems on GPT Sol High and it missed one. The model doesn't calculate—it predicts the next likely digit. ChatGPT gets it right because a harness hands the problem to a Python script. The post walks through the same pattern for three other unsolved flaws: stale knowledge patched by RAG, limited context windows, and toxicity still baked into the model. The real progress isn't in the models but in the tooling wrapped around them.

Ed Zitron argues the AI data center boom mirrors the 2008 subprime crisis. Over 15x more capacity is being built than actual demand, and that demand is already inflated by loss-making firms like OpenAI and Anthropic. Hyperscalers hide spending obligations via off-balance-sheet SPVs. If AI revenue disappoints, long-term leases could default in a chain reaction, spreading risk through pensions and insurance. Zitron blames the media for enabling the grift.

Anthropic upgraded Claude's voice mode to support Opus and Sonnet for complex reasoning, plus direct access to connected tools like Gmail and Slack during voice conversations. Multilingual support is also added, though the post doesn't list which languages. I'd wait for real-world latency and tool-calling reliability data before getting too excited.

Anthropic expanded voice mode from Haiku to Opus and Sonnet—all three models now support it. The bigger move: voice mode can now plug into Gmail, Slack, and other apps to read your emails and messages. The post doesn't disclose latency or accuracy numbers, so I'd wait for real-world tests.

Claude voice mode now lets users pick between Opus, Sonnet, and Haiku, defaulting to the last model used in text chat. Anthropic says this handles longer, more complex tasks like coaching communication style, walking through a client pitch, or brainstorming market research. The bigger shift: voice mode can now reach into Gmail, Google Calendar, Slack, Canva, and Notion to reschedule meetings, draft emails, or create docs. OpenAI's updated voice mode still can't use external tools. The post doesn't disclose latency numbers or rollout scope.

White House science advisor Michael Kratsios accused Moonshot of distilling Anthropic's Fable to build Kimi K3 using restricted chips. Multiple experts pushed back: a model this strong, this fast, and outperforming Fable on coding can't come from distillation alone. Moonshot didn't comment; Kratsios didn't share evidence.

Liang Wenfeng spent four hours saying no: no consumer or enterprise products, no video generation or world models, no user-growth chase, no closed-source pivot, no ambition to become the next ByteDance or Tencent. Products, multimodality, and hallucination are side quests; the main focus is coding agents and general-purpose agents. He sees the US-China gap as a resource gap, believes in scaling, and open-sources the same models DeepSeek deploys. The next milestones are continual learning, then AI self-iteration, then embodied intelligence. Team stability is the one thing he won't compromise on—this funding round lowered that risk.