All AI news

AIThe team released Carbon-A, an open model that finds genes directly in DNA, along with a database of 566.34 million candidate genes across 22,617 species. The model reads genomes without needing a close relative, and wet-lab validation in cats, chickens, and arabidopsis is cited, with 239 genes found missing from reference annotations of common species. The authors say the model marks gene locations but does not design DNA or predict gene function.

AIFish Audio's Drama 3 voice model lets users direct tone, emotion, and pacing in plain language, and can shift emotion mid-sentence. The poster, who found it remarkably effective in testing, says the control over delivery is unlike anything previously seen. A preview is available through the API as drama-3-preview.

AIAnthropic released Claude Haiku 5.5, raising its OSWorld 2.1 score from 15.7% to 72.4% and supporting a 1 million token context window. The article notes Haiku 5.5 still scores 39.2% on Terminal-Bench 4.0 against Sonnet 5.5's 70.6%, and that prompts above 100,000 tokens are priced higher, so migration costs need to be measured on real workloads.

AIGeneralist (@GeneralistAI) has introduced GEN-1.5, its latest foundation model for the physical world. The post links to a playlist of other tasks its models can perform and to a blog post with further details on GEN-1.5.

AIPerplexity's pplx-decider v1.1 scored 643 of 669 on clinical decisions versus 628 for Jev, according to a quoted post. The quoted post says it costs 42% less per decision at about the same speed and that its weights can be downloaded and run inside hospitals.

AIOpenRouter says GPT-6 Luna is currently the fastest Decisions model, at 180ms on global requests. The post also places Jev and Perplexity Decider as following models, but gives no further figures.

AIStepFun's Step 5 Preview outperforms Kimi K3 and GLM-5.3 on six of eight benchmarks in its own evaluation. Reported scores include 67.7 on DeepSWE, 80.5 on ProgramBench, 49.0 on StepCodeBench, and 66.4 on FrontierFinance.

AIStepFun's Step 5 Preview is now live on OpenRouter as the company's new flagship for agentic work. It uses a sparse MoE design with 27B active and 600B total parameters, a 1M context window, and accepts text, image, and video input. The post highlights strength in coding and professional knowledge work, especially finance.

AITypeSafe AI released Jev, a model that answers yes/no, multiple-choice, or rating questions by outputting the estimated probability of each option. The author notes this design lets the model be served faster and more cheaply than LLMs and fits ordinary if-statement logic, and says he used it to flag spam comments on his blog in place of Gemini 3 Flash.

AIStepFun is promoting Step 5 Preview, pointing readers to a model overview, benchmarks, and demos on its website. The post also links to technical specifications and API documentation for developers.

AIStepFun's Step 5 Preview is now live on OpenRouter, with a week of free access rolling out across opencode, Cline, NousResearch, and Kilo Code. The company positions it as flagship-tier intelligence for agentic and professional work at substantially lower task cost, letting users keep their workflow while switching models.

AIStepFun has released Step 5 Preview, its flagship model for agentic work, built on a sparse Mixture-of-Experts architecture with 27B active and 600B total parameters. The source says it performs strongly in software engineering and professional tasks, but the feed supplied only an excerpt, so benchmark details are not available here.

AIJetBrains released Mellum2.1, a 12B mixture-of-experts model with 2.5B active parameters under the Apache 2.0 license, built for coding agents. Post-training shifted to reinforcement learning across thousands of environments and millions of sandboxed runs, and the model is available on Hugging Face. The source reports gains over Mellum2 on LiveCodeBench, AIME, GPQA Diamond, BFCL v4, IFEval, and SWE-bench Verified, and says it serves almost twice the tokens of Qwen3.5-9B under heavy load.

Why it matters: The post shows how reinforcement learning in real sandboxed environments changed a compact open model's repository work, with benchmark gains against Mellum2 and two peers.

AIAnthropic released Claude Haiku 5.5, its fastest and most affordable small model, at prices up to 90 percent lower for most prompts under 100,000 tokens. Artificial Analysis ranks it first among small-class models on its Intelligence Index with a score of 43, but it consumes about three times the output tokens per task that GPT-6 Luna needs at maximum effort.

AIAnt Ling announced a day-zero collaboration with AI/ML API, making Ling-3.1-flash available there for agentic and cowork scenarios. AI/ML API describes it as a 560B-parameter MoE model with about 25B active per token and up to 1M context, built for agents, coding, and long documents. The model is free to try on AI/ML API until October 13.

AIAnthropic released Claude Haiku 5.5, priced the same as OpenAI's GPT-6 Luna, with a 1M-token context window. Artificial Analysis scored it 43 on its Intelligence Index, slightly ahead of GPT-6 Luna at 38, but it uses about 3x more output tokens at max effort.

AIPerplexity has released pplx-embed-v2-late, a pair of ColBERT-style multimodal embedding models in 0.6B and 9B sizes that retrieve text, images and rendered PDF pages in a shared embedding space. Both are available on Hugging Face under the MIT license, while a hosted API endpoint is planned but not yet live.

AIArtificial Analysis is adding trusted-access models to its Cyber Index, starting with GPT-6 Sol (Daybreak Blue, max), which is available only through OpenAI's Daybreak program. The model hits no safety blocks across the Index and scores 32 points higher overall than the publicly available GPT-6 Sol (max), with its largest gains on CyberGym-E2E.

Why it matters: The source shows how safety refusals shape cyber benchmark scores, with the trusted-access model's gains concentrated on CyberGym-E2E, useful for comparing guarded and unguarded models.

AIFrench AI company Mistral has released Mistral Large 4, its new flagship model with 1 trillion total parameters. The company plans to make all of the model's weights open at the end of the month.

AIAnthropic released Claude Haiku 5.5, which it calls the fastest, cheapest, and most capable Haiku model so far. On average it costs about 75% less to run than Haiku 4.5, with input at $0.10 and output at $0.50 per million tokens for requests up to 100,000 tokens. Anthropic also cut Sonnet 5.5's cache read price from $0.20 to $0.10 per million tokens, which it says lowers run costs by about 20% on many agent tasks.

AICognition's X post links to a blog post at devin.ai about Claude Haiku 5.5, but the text provides no further details. The post itself offers no benchmark scores, prices, or capabilities to report.

AIAnthropic has released Claude Haiku 5.5, priced at $0.10 input and $0.50 output per million tokens up to 100,000 tokens, matching GPT-6 Luna. Beyond 100,000 tokens the price rises to $0.50 and $2.50, and the author found the new tokenizer uses about 1.25x as many tokens as Haiku 4.5 on the same long prompt. The model cannot disable reasoning and defaults to medium effort.

AIAnthropic has released Claude Haiku 5.5, its cheapest and fastest small model, priced at $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100K tokens. It keeps a 1M token context window, up to 128K output tokens, and is generally available on the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS. Anthropic reports 72.4% on OSWorld 2.1 (offline subset) versus 15.7% for Haiku 4.5, and the article notes that non-default temperature, top_p or top_k values return a 400 error.

AIAnthropic's Claude Haiku 5.5 is much faster and 75% cheaper than Haiku 4.5, which launched October 15, 2025, less than a year earlier. Anthropic describes it as a significant step up over Haiku 4.5 across coding, computer use, and knowledge work.

AIOpenAI is releasing a new version of GPT-6 to all ChatGPT users, extending the model beyond text. The post says model and infrastructure improvements were combined to scale it to 1.2 billion users, and it pairs the release with Intelligent UI, which delivers fast, interactive, and visual answers.

Why it matters: The post names the rollout scope and points to model and infrastructure work behind serving the update, which shows how a large consumer launch is being scaled.

AIAnthropic's Claude Haiku 5.5 is described as a good Haiku, with a 100k token context window and roughly 10x lower cost than Claude Haiku 4.5. The quoted Claude announcement says it is the cheapest, fastest, and most capable small model Anthropic has released, costing about 75% less to run on average than Haiku 4.5.

AIAnthropic's Claude Haiku 5.5 is now available on Amazon Bedrock and Claude Platform on AWS. According to Anthropic, it is the fastest and most efficient model in the Claude 5.5 family and costs around 75 percent less than Claude Haiku 4.5 for most tasks. The post also covers pairing it with Claude Opus 5.5 as a subagent layer and provides Boto3, Converse, and Anthropic SDK examples for calling the model.

AIGoogle released EmbeddingGemma 2 on Hugging Face, and Paige Bailey called it a step toward open models for open science. The post links the model and cites earlier EmbeddingGemma-based projects, including medical, geographic, oncology, and PubMed embedding models.

AIAnthropic has released Claude Haiku 5.5, a small, fast model for high-volume, cost-sensitive tasks such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding and computer use capabilities.

AIAnthropic has released Claude Haiku 5.5, a small, fast model for high-volume, cost-sensitive tasks such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding and computer use capabilities.

AILiquid AI released two open-weight multimodal decision models, d1-3B and d1-omni-600M, which return probability answers in one forward pass with zero output tokens. d1-3B scores 48.57 on Decision Index v0.2.1 and answers one question in 8 ms on an RTX 4090, while the models are licensed free for commercial use below $10 million in annual revenue.

AIAnthropic has released Claude Haiku 5.5, which it describes as the cheapest, fastest, and most capable small model it has released. On average it costs around 75% less to run than Claude Haiku 4.5, and the author says it is 10x cheaper than Haiku 4.5 under 100k tokens. It can be tried with computer use, workflows, and the API.

AIAnthropic has released Claude Haiku 5.5, which the author describes as its fastest and cheapest model to date. The source says it costs about 75% less to run than Claude Haiku 4.5 and is the first Haiku model with an adjustable effort setting. The attached benchmark table reports Haiku 5.5 scores on tasks including computer use (OSWorld 2.1 offline subset, 72.4%) and Terminal-Bench 4.0 (39.2%), compared with Haiku 4.5 and other models.

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 has made Claude Haiku 5.5 available on the Claude Platform and in Claude Code, costing around 75% less to run than Haiku 4.5. The post recommends pairing it with Opus 5.5 or Sonnet 5.5 as a subagent for high-volume, cost-sensitive tasks such as summaries, compactions, or database queries.

AIOpenAI is rolling out GPT-6 with Intelligent UI globally to Plus, Pro, Business, and Enterprise users today, with Free and Go users following starting tomorrow. Plus, Pro, Business, and Enterprise tiers are powered by GPT-6 Sol, while Free and Go tiers use GPT-6 Luna, and both are tuned for everyday conversation. The update applies only to the Chat tab, and the models powering Work and Codex are not changing.

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.