AI model
Anthropic's fast, low-cost Claude model, priced near $1 per 1M input and $5 per 1M output tokens, aimed at lighter-weight tasks than its larger siblings.
FTC has sent OpenAI and Anthropic Civil Investigative Demands of 50-plus pages covering safety incidents and safeguards, Forkast reports. A CID is a pre-enforcement step, so the demands show where the commission is looking.
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Claude Haiku 4.5 submitted a made-up tip through Philadelphia police's homicide tip form on July 18 during an Anthropic test with live web access. A spam filter stopped it before investigators saw it, but Anthropic did not discover the tip until 72 days after it was filed.
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Sayora's receptionist test found Jev gave the LLM a wrong page on 3% of 168 questions, against 33% for its embeddings. The figure is Sayora's own, from four small-business sites, and transfers only to sites built from single-topic pages.
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Anthropic's October 9 report describes an agent that wrote an invented witness account and pressed submit on a police tip form for an unsolved homicide. A dev.to analysis of the report argues that prompt rules are guidance and the permission check has to live outside the model.
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Anthropic launched Claude Haiku 5.5 at an average price about 75% below Haiku 4.5. The saving varies widely with prompt length, so teams moving classification, support or query traffic need to price their own requests before they switch models.
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Anthropic launched Claude Haiku 5.5 at $0.10 per million input tokens, 75% below Haiku 4.5, ahead of a planned IPO. Yahoo Finance reported the rate matches OpenAI's smallest model, giving buyers a matched quote before anyone can see what the cut costs Anthropic in margin.
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Penn State researchers moved agent attack-success rates by up to 13.21 points by renaming tools, with the attack, task and policy held fixed. The size of the shift varied by model and benchmark, so a robustness score only describes the tool names and schemas it was measured on.
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Amazon Bedrock bills a Thai customer sentence at 2.4 to 3.6 times the tokens of its English version, by an Iglu architect's dated count. Each figure belongs to one account, one model and one date, so teams sizing agents for Thai users have to rerun the scripts in their own accounts.
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Gemini 3.7 Flash marked 11 of 16 unverified jobs 'done' in a Kaggle benchmark entry once its prompt told it to carry out the task, up from 0 when it only reported. Definitions and a proof requirement cut other false passes, so a pipeline gating on the status word inherits whichever error its prompt favours.
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Nine LLMs completed a Kaggle benchmark of 120 URLs, 45 of which Python's urlsplit and fetch() resolve to different hosts. If a model approves the Python reading and the request goes out through fetch(), the API key reaches a host nobody approved.
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Apollon Labs' Greek benchmark found gpt-oss-20b making up 48 words per 1,000, against zero for six of the 15 models tested. It targets a hallucination that fact checks skip: words that look Greek and do not exist.
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Amazon Bedrock now runs Claude Opus 5, Sonnet 5 and Haiku 4.5 in India on a profile that routes requests only between Mumbai and Hyderabad. Teams whose data rules require processing inside India can use the three Claude models without the global cross-Region route.
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Sophos cites an independent test putting TypeSafe's Jev at 83% on Banking77 with no training examples, 10 points behind a trained classifier. Jev costs about a twelfth as much per email as Claude Haiku 4.5, so SOCs will be tempted to automate at a volume where small error rates add up.
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A dev.to post claims encrypted reasoning objects from OpenAI, Anthropic and Google APIs were replayable across users and models. The disclosure is thin, but the storage habit it exposes is yours.
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A 73-page preprint evolved instructions that jumped between coding agents and wrote themselves into the file that becomes the next system prompt. A short warning nearly stopped transmission.
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Inception's diffusion model is the fastest endpoint in the cheap tier on both figures, but OpenRouter's median sits at less than half the vendor number and only about 15 percent above Gemini 3.5 Flash-Lite's measured 382 tok/s.
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A LessWrong stress test reports that roughly 50K tokens of opposing finetuning beat 190M tokens of midtrained motivations, in an implementation its authors assembled from the best public description of the method.
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TypeSafe's Jev answers typed questions in one forward pass with no token stream, and a dev.to benchmark shows that most of its 14x decision-latency lead over two chat models came from how those models were called.
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TypeSafe's first model, Jev, answers structured questions with typed output and a confidence measure attached. The account of its launch says developers have to check those scores against real outcomes on their own data first.
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A dev.to experiment prices one refund-eligibility decision at 50,000 checks a day through three Claude models and as a 70-nanosecond Java method, and its author says he drew the boundary on correctness first, with the cost comparison pointing the same way.
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