#Anthropic

AIClaude Code v2.1.293 adds Claude Haiku 5.5 (claude-haiku-5-5), now the default Haiku model on the Anthropic API, with 1M context and pricing of $0.10/$0.50 per Mtok ($0.50/$2.50 for prompts over 100K). The release also adds agentType to the subagentStatusLine payload and isDeferred to $.tool.register, and fixes numerous issues including a memory leak in HTTP MCP connections.

AIAnthropic's account shares a link to a page announcing Claude Haiku 5.5. The post itself gives no further details on capabilities, pricing, or benchmarks.

AIAnthropic's ClaudeDevs account states pricing for prompts under 100K tokens at $0.10 input and $0.50 output per million tokens, with cache reads at $0.01. For prompts above 100K tokens, the rates rise to $0.50 input and $2.50 output per million tokens, with cache reads at $0.05.

AIAnthropic's ClaudeDevs account announced monthly Claude Platform API credits for Max and Team plans. Max 5x receives $100, Max 20x receives $200, and Team receives up to $500 in pooled credits. The credits work on any model, including Haiku 5.5, in users' own code or third-party harnesses.

AIAnthropic introduced Claude Haiku 5.5, which it calls the cheapest, fastest, and most capable small model it has released. On average, it costs about 75% less to run than Claude Haiku 4.5. The post positions Haiku 5.5 for high-volume work alongside Opus handling heavier reasoning tasks.

AIAnthropic has introduced Claude Haiku 5.5, which it describes as the cheapest, fastest, and most capable small model it has released. On average, running it costs around 75% less than Claude Haiku 4.5. The author's own post only announces availability and offers no further detail.

AIAnthropic has introduced Claude Haiku 5.5, which it calls the cheapest, fastest, and most capable small model it has released. On average, running it costs around 75% less than Claude Haiku 4.5.

AIAnthropic is halving the price of cache reads on Claude Sonnet 5.5 to $0.10 per million tokens. The company says this makes Sonnet 5.5 roughly 20% cheaper to run on most long-running work.

AIAnthropic has released Claude Haiku 5.5, available now across all platforms including Amazon Web Services, Google Cloud, and Microsoft Azure. The post links to Anthropic's announcement page for further details.

AIAnthropic says Claude Haiku 5.5 shows major improvements across almost all of its alignment evaluations compared with Claude Haiku 4.5. The post reports far fewer instances of misaligned behavior in the new model.

AIAnthropic's Haiku 5.5 is built for high-volume, cost-sensitive work such as summaries and classification. It can serve as a subagent alongside Claude Opus 5.5 and Sonnet 5.5 on coding tasks. It is also fast enough for live customer support and browser use.

AIThe Department of Defense's Chief Digital and Artificial Intelligence Office runs the Tradewinds program, which grants "post-competitive" status to AI vendors based on videos of five minutes or less. That status can let government buyers use other transaction agreements and sometimes make awards in less than a week. OpenAI, Anthropic, and Google are listed as participants, though none commented.

AIElon Musk says SpaceX will use the best back-end model for each task on Grok Bot, including Claude Opus 5.5, MidJourney, Suno, and other leading APIs. Matt Shumer calls this extremely good news for bot users.

AIMistral released Mistral Large 4 "Le Chonk", a 1T-parameter (49B active) multimodal model, with open weights planned in about three weeks. Google rolled out Nano Banana 2.1 across Gemini, AI Studio, and the Gemini API, and released EmbeddingGemma 2, a 740M-parameter open multimodal embedding model under Apache 2.0. OpenAI launched the Decisions API in beta with gpt-6-luna, returning typed answers 10x faster than the Responses API.

AIElon Musk says SpaceX will use the best back-end model for each task, including Claude Opus 5.5, Midjourney, Suno, and other leading APIs. The main post is only an eye emoji, so its own content adds nothing beyond the quoted note about Grok's routing.

AIGrok Bot will now use the best backend model for each task, including Claude Opus 5.5, MidJourney, Suno, and other leading APIs. The change is framed as choosing whatever is most likely to produce the best outcome for users.

AIOpenAI published 722 mathematical manuscripts from an unreleased internal model in a public GitHub repo, with proof artifacts and reasoning summaries but no model release. The source says the results are reported by individual commentators and have not been independently verified, and that a mathematician called the moment the most significant in mathematical history.

AIAnthropic released Claude Haiku 5.5, which it calls its cheapest, fastest, and most capable small model. It costs around 75% less to run than Haiku 4.5 and is aimed at high-volume, cost-sensitive tasks such as summaries and classification. The release also cuts Sonnet 5.5 cache read prices by 50%, and the model is available on AWS, Google Cloud, and Microsoft Azure.

AIAnthropic released Claude Haiku 5.5, which scores 43 on the Artificial Analysis Intelligence Index, up 26 points from the last Haiku release. Pricing is $0.10/$0.50 per 1M input/output tokens up to 100k tokens, rising to $0.50/$2.50 above that, but at max effort it uses about 162k output tokens per Intelligence Index task, roughly 3x GPT-6 Luna.

Why it matters: The benchmark shows Haiku 5.5 scores well but uses far more output tokens than GPT-6 Luna, so cost per task matters beyond list price.

AIAnthropic added build-eval and hillclimb commands to its claude-api skill for designing evaluations and iteratively improving applications against them. The article covers eval design principles, including production-representative tasks, headroom and low variance, and guards against overfitting through train/test splits. Two examples report results: a customer support benchmark where cost fell to under half while accuracy rose, and a claude-api skill eval that rose from 66% to 88%.

Why it matters: The article gives a concrete workflow for designing evals and hillclimbing without overfitting, with two worked cost and performance examples that show the tradeoffs.

AISpeakers at The Curve, a Berkeley AI conference, discussed limiting how intelligent large language models can become, amid concerns over recursive self-improvement. Proposed approaches include Anthropic's responsible scaling policy, limits on compute and model copies, and restrictions on using frontier models for AI research. The column notes such enforcement tools do not yet exist and that the Trump administration opposes such restrictions.

AIAnthropic launched Claude Haiku 5.5, which it describes as the cheapest, fastest, and most capable small model it has released, aimed at high-volume, cost-sensitive tasks. Max and Team plans now include monthly API credits for running their own apps and agents on the Claude Platform, rolling out over a few days. Users claim the credits by linking a Claude Console organization in Settings > Billing for Max or Organization settings > Billing for Team.

Why it matters: The notes name a new small model and a credit change for Max and Team plans, with the claim path, which matters for teams budgeting API use.

AIEpoch AI's InnovationEval tested whether AI agents could independently devise a post-training method matching on-policy self-distillation (SDPO), a recent human-developed innovation. GPT-5.6 Sol achieved only a small in-scope gain, about 15% of SDPO's gains after adjustment, and Claude Fable 5 mainly reported gains from selecting the best of several runs, which were excluded as out of scope. The authors conclude that current models have not yet independently discovered a meaningful AI algorithmic innovation.

Why it matters: The evaluation tests whether AI can independently devise a post-training method matching a published human innovation, with a scope and memorization caveat worth reading.

AIand those files can also open inside Claude. In Google Workspace, Claude appears in a sidebar next to the open file, reads its contents, and edits it in place, with the option to approve each edit before it is applied.

AIAnthropic's Thariq says Claude will increasingly use cloud-based "brains" while operating on users' computers through "local hands." He points to a Latent Space podcast discussion on how this is being implemented in Claude Code.

AIBoris Cherny says he used Opus 5.5 with Lean to formally verify the Claude Agent SDK, with a couple of short prompts producing 16 PRs fixing bugs and race conditions. He also reports that TLA+ works well, sometimes combined with Lean to find data flow, concurrency, and state management issues. The post links to his actual prompts as another example.

AIAnthropic's Boris Cherny says Claude works best when prompted like a coworker, with a clear goal and no heavy scaffolding. He says prompts now matter most for stating the desired task, the effort level, and how Claude should verify its result, whereas prompts mattered more in the Sonnet 3.5 era.

AIAnthropic is expanding its Cyber Verification Program to give verified security professionals broader access to its most capable models. Through the program, they can use Claude Mythos 5.1, Opus 5.5, and Sonnet 5.5 with safeguards designed for defensive work. New tiers will also allow authorized offensive work such as penetration testing and red-teaming.

AIClaude Code v2.1.292 adds a --marketplace option to claude plugin install, which adds the marketplace if needed and then installs the plugin from it. The release also adds an effort parameter to the Agent tool and fixes several security issues, including permission prompts bypassed for network (UNC) file reads and a sandboxed read path that could return files outside approved access.