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本页 37 条10月10日 周六
‘Pure insanity’: Mathematicians will need years to make sense of OpenAI’s latest drop
"Staggering." "Overwhelming." "Unprecedented." "Surreal." "Pure insanity." Those were among the descriptions more than three dozen mathematicians reached for in conversations with The Verge as they tried to make sense of the flood of mathematical results OpenAI abruptly dropped on the field this week. Amid the awe, excitement, and uncertainty over the sheer scale of the […]
Ask HN: Internal AI Language
LLMs have an internal language that they translate English into before predicting the next token. Like 'king' is translated into a word of an internal language that corresponds to vector [monarch, man], which allows king-man+woman=queen. Spanish is similar for the case 'queen'=reina, - ina suffix means female, but becomes irregular for king=rey. We have tried to create regular, consistent languages (loglan, lojban, ithkuil), and there seems to be one in the first layers of LLMs, derived from all text ever written. This internal language is currently expressed as vectors, but we could devise a lexicon to map them, and if we could learn it we could communicate more directly with machines, dispensing with some layers and getting rid of language ambiguities. Makes sense? Is someone working on this? It's like Arrival but with AI instead of aliens. Comments URL: https://news.ycombinator.com/item?id=50023533 Points: 1 # Comments: 0
10月9日 周五
Meet the Underdog Saluki 27B: A 2-bit Qwen3.8-27B That Beats the Original at Tool Calling
Underdog Saluki 27B is a 7.89 GB, 2-bit GGUF of Qwen3.8-27B under Apache 2.0. It beats the 54 GB original on tool calling but gives up ground on competition math and reasoning. The post Meet the Underdog Saluki 27B: A 2-bit Qwen3.8-27B That Beats the Original at Tool Calling appeared first on MarkTechPost .
Roundtables: A Conversation With the Creator of AI-Designed Viruses
Friday, October 16, 2026 Can AI design new life forms? In 2025, Stanford University PhD student Samuel King came up with a preliminary answer when he used a generative AI model to propose genetic blueprints for microscopic viruses. It isn’t yet an example of AI-generated life, but that could be next. Join senior AI reporter…
Ontological Language Model (OLM) + LLM: Deterministic AI Advancement
This was recently announced by Dr. Berkan from New York. LLMs meeting ontologies, quite exciting to see such new advancement. OLMApp https://olmapp.ai/more.html Comments URL: https://news.ycombinator.com/item?id=50010880 Points: 1 # Comments: 0
OpenAI’s math solutions aren’t meeting the field’s standards yet
OpenAI's flood of proofs deviated from the guidelines set by a group of mathematical researchers consulted by the frontier lab.
Liquid AI builds personal AI around device-level context
On-device personal AI requires models and agent software that can operate within fixed hardware limits. Developers also need ways to keep those systems improving after deployment. Model builders are rethinking architectures designed around elastic cloud capacity. The edge offers fixed hardware but a far richer view of the user, which makes it the natural home […] The post Liquid AI builds personal AI around device-level context appeared first on SiliconANGLE .
JetBrains Releases Mellum2.1: A 12B MoE Open Model for Coding Agents
JetBrains released Mellum2.1, an Apache 2.0, 12B mixture-of-experts thinking model with 2.5B active parameters. RL in real repositories lifted its SWE-bench Verified score from 2.0 to 47.0. The post JetBrains Releases Mellum2.1: A 12B MoE Open Model for Coding Agents appeared first on MarkTechPost .
Show HN: Jevman – AI decision models play Pac-Man
Openai just launched their decisions endpoint, cloudflare launched clef the other week, and many more jev alternatives are out there. We wanted to put the popular ones to the test and thought Pac-Man is a good benchmark for simple and fast decision making. So we let jev 1.13, kev, clef, clef flash, GPT-6 Luna and Laya play Pac-Man against bot ghosts. The low latency of these models allows for real time play. We had each model play 100 games, published a leader board and open-sourced the repo so anyone can run their own model and join the ranking. Link to repo: https://github.com/opper-ai/jevman-benchmark/blob/main/CONTR... You can also join the game and play as Pac-Man yourself, and the ghosts are the models, either a mix of models or all jev, kev, clef etc. A game costs about 2 cent, all models are running via my startup opper, and we added free credits for everyone to try. It's pretty fun to play and surprisingly difficult to beat jev's highscore. Any feedback is more than welcome! Comments URL: https://news.ycombinator.com/item?id=50007993 Points: 4 # Comments: 0
10月8日 周四
Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA
Perplexity's pplx-embed-v2-late comes in 2 sizes: a 0.6B model built to run on edge devices, and a 9B model for building high-quality indexes. Its best score is 92.4% on MADQA, and its weakest is 61.2% on ViDoRe v3 Markdown. Both are MIT-licensed and ready to self-host. The post Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA appeared first on MarkTechPost .
Anthropic Releases Claude Haiku 5.5: A Small Model With 1M Context Priced at $0.10 per Million Input Tokens
Anthropic's Claude Haiku 5.5 starts at $0.10 per million input tokens, keeps 1M context, scores 72.4% on OSWorld. The post Anthropic Releases Claude Haiku 5.5: A Small Model With 1M Context Priced at $0.10 per Million Input Tokens appeared first on MarkTechPost .
Anthropic releases Claude Haiku 5.5 small model and halves Sonnet 5.5 cache read prices
Anthropic PBC today released Claude Haiku 5.5, pricing its newest small model at roughly a quarter of what Haiku 4.5 costs to run. Claude Sonnet 5.5 is getting cheaper as well, since the company is halving what it charges for cache reads on that model. Two weeks after Opus 5.5 launched Sept. 22, Haiku 5.5 […] The post Anthropic releases Claude Haiku 5.5 small model and halves Sonnet 5.5 cache read prices appeared first on SiliconANGLE .
推出 Claude Haiku 5.5
正如之前承诺的那样，Anthropic 的全新高速、低成本模型来了：Claude Haiku 5.5。上一代 Haiku 4.5 已经明显落伍了。它发布于将近一年前，定价为每百万输入 token 1 美元、每百万输出 token 5 美元——即便在当时也算相对昂贵，而且足足是 OpenAI 上个月发布的 GPT-6 Luna 的 10 倍。 新版 Haiku 的价格与 GPT-6 Luna 完全一致：在不超过 100,000 个 token 时，每百万输入/输出 token 分别为 0.10/0.50 美元。超过 100,000 个 token 后，价格会上涨至 5 倍，即 0.50/2.50 美元。Luna 本身在达到 272,000 个 token 时也会涨价，但只涨到 0.20/0.75 美元。 Haiku 5.5 还采用了新的 tokenizer，对用户没那么划算。我的 Claude Token Counter 工具显示，同一个长提示词在 Haiku 5.5 中使用的 token 数约为 Haiku 4.5 的 1.25 倍，因此这里还存在隐性涨价。 如果你的工作负载能控制在 100,000 个 token 以内，Haiku 的价格与 Luna 相同，而且据称基准测试得分更高。超过 100,000 个 token 时，Luna 看起来就划算得多。 最新发布的 llm-anthropic 终于解决了一个问题：我不必再为每个新模型发布该插件的新版本了。我是这样测试新模型的： llm install -U llm-anthropic llm anthropic refresh llm -m claude-haiku-5.5 "生成一幅鹈鹕骑自行车的 SVG 图" -o thinking_effort low 鹈鹕 以下是分别在 low、medium、high、xhigh 和 max 档位下生成的鹈鹕。新版 Haiku 不允许关闭推理，默认档位为 medium。除了 low 之外，其余档位生成的自行车车架都不错。 low 档位的鹈鹕花费了 0.0936 美分，用时 7 秒。 这只 max 档位的鹈鹕用了 5 分 9 秒才生成，但依然只花了我 3.3826 美分： 扁平矢量插画：一只戴着红色帽子的白色鹈鹕，骑着深灰色自行车，从左向右穿过一条绿色草地。它细长的橙色双腿向下伸到橙色踏板上，一只灰色翅膀向前伸出，握住弯曲的车把。它硕大的黄橙色鸟喙朝向前方，下方有鼓起的橙色喉囊；身后白色的速度线表现出运动感，上方渐变蓝色的天空中有一轮带着浅色光晕的黄色太阳和两朵白云。 作为对比，这是我一年前用 Haiku 4.5 生成的鹈鹕。它画鹈鹕实在不怎么样： Haiku 4.5 的描述：一幅充满奇趣的插画，一只身体圆滚滚、呈棕褐色的鸟，有着粉红色的喙和橙色的腿，在蓝天与绿草的背景下骑着自行车。 还有面向订阅用户的慷慨 API 额度计划 除了 Haiku 5.5，Anthropic 今天还宣布将 Sonnet 5.5 的缓存读取价格减半。他们还在订阅方案中加入了 API 额度： 其次，本周我们将向所有 Max 和 Team 订阅用户推出新的每月 API 额度，可在 Claude Platform 上使用。Max 5x 用户每月将获得 100 美元额度，Max 20x 用户将获得 200 美元，而 Team 订阅用户将获得最高 500 美元额度，由团队内所有用户共享。 领取过程简单得令人愉快：进入“设置”->“账单”，选择每月接收这些额度的 API 组织： 一张设置对话框的截图，右上角有关闭按钮 X，上方一排标签依次为“常规”“账户”“隐私”“账单”（已选中）、“用量”“功能”“记忆”和“设计系统”（在边缘处被截断）。面板上有一个带圆形花苞的分枝植物线描图标，旁边写着“Max 方案”“用量为 Pro 的 20 倍”和“你的订阅将于 2026 年 11 月 2 日自动续订。”，右侧有一个“调整方案”按钮。下方是标题为“API 额度”的区域，旁边带有蓝色的“新增”标记，正文写着“你的 Max 20x 方案每月包含 200 美元的 API 额度。”，随后是灰色文字“关联一个 API 组织以开始接收额度。”，右侧有一个“关联组织”按钮。 API 额度恰好等于订阅本身的费用。这真的很慷慨——让订阅用户使用 API 变得容易多了。 Anthropic 还允许你关闭 API 自动充值，结果就是“余额耗尽时，API 请求将停止”——如果你打算用完这些 API 额度，又不想冒着收到账单惊吓的风险，这正是你想要的。 请注意，每月额度不会结转——不用就会作废。 OpenAI 仍允许你将 Codex 订阅用于个人 API 使用，对重度 API 用户来说更划算。这项新的额度计划至少在一定程度上缩小了两者的差距。 标签：ai、generative-ai、llms、anthropic、claude、llm-pricing、pelican-riding-a-bicycle、llm-release
Liquid AI Releases Open-Weight d1-3B and d1-omni-600M: Multimodal Decision Models With Zero Output Tokens
Liquid AI has released Open d1, two open-weight multimodal models in its d1 decision model family. d1-3B reads text and images. d1-omni-600M reads text with an image, or text with audio. Neither model writes text. Each returns calibrated, typed answers in one forward pass with zero output tokens. The target is real-time decisions on the […] The post Liquid AI Releases Open-Weight d1-3B and d1-omni-600M: Multimodal Decision Models With Zero Output Tokens appeared first on MarkTechPost .
These Researchers Made AI Drive a Toyota Corolla to Get In-N-Out
Three engineers put GPT, Claude, and Grok in charge of a real car. Only one of them was successful.
Claude Haiku 5.5 arrives with massive price cuts proving the AI pricing arms race is far from over
Anthropic's new Claude Haiku 5.5 crushes its predecessor in benchmarks, jumping from 15.7 to 72.4 percent on the OSWorld computer use test. Token prices drop by up to 90 percent, though a new tokenizer eats into some of those savings by consuming more tokens per task. The article Claude Haiku 5.5 arrives with massive price cuts proving the AI pricing arms race is far from over appeared first on The Decoder .
Zuckerberg 的 Biohub 牵头推进一项耗资 18 亿美元的计划，旨在构建预测细胞行为的 AI 模型
由 Mark Zuckerberg 和 Priscilla Chan 支持的研究机构 Biohub 正在协调一项耗资 18 亿美元的计划，以训练能够预测细胞行为的 AI 模型。Meta、Google DeepMind、Isomorphic Labs 和美国能源部正在为数据、实验室设备及算力提供资金。首个数据集预计将在约一年后准备就绪。《Zuckerberg 的 Biohub 牵头推进一项耗资 18 亿美元的计划，旨在构建预测细胞行为的 AI 模型》一文最先发表于 The Decoder。
10月7日 周三
Mistral says "Le Chonk" can challenge the best AI models
Mistral says Le Chonk can rival top closed models while remaining open-weight.