
Spooky Space 👻 AI News, Views, & Ghosts
发布节奏
最近 12 周每周中位浏览
最近 12 周发布时间
颜色 = 中位浏览爆款 vs 日常
爆款 = 浏览前 10%| 指标 | 爆款 | 日常 |
|---|---|---|
| 帖子 | 3 | 22 |
| 带媒体 | 100% | 59.1% |
| 回复 | 0% | 0% |
| 平均字数 | 440 | 676 |
| 中位浏览 | 3.5万 | 362 |
打法建议
只陈述相关性- 互动最好的时段是 03:00 前后(北京时间),中位浏览 1,610。
- 一周里 周二 的中位浏览最高。
- 形式上 纯文字 的中位浏览更高(389 vs 532)。
- 爆款里带媒体占 100%、回复占 0%;日常分别是 59.1%、0%。
- 当前节奏约 0.8 条/天,日均浏览 6,635。
内容结构
按本站分析的分类(近 120 天)- 观点12
- 产业4
- 产品3
- tip2
- 论文1
形式与语言
帖子占比- 视频13
- 纯文字9
- 图片3
回复占比 0% · 引用 16% · 带媒体 64%
互动最高的帖子
按浏览排序- 1
More from @trq212 on local hands and how it is being implemented in Claude Code: (see more on https://latent.space/p/thariq)
- 2
The Future of Claude Code: Mods, Mutable Software, Pacing the Frontier, & Multiplayer Agents with Thariq Shihipar https://latent.space/p/thariq @AnthropicAI’s @trq212 explains why prompting is still one of the highest-leverage skills in agentic coding, why Claude.md may eventually disappear, how Claude Mods let developers customize the entire Claude Code harness, why mutable software could change how applications are built, how multiplayer agents and Claude Tag are becoming an organizational harness, and why agents hacking Hugging Face exposed a much bigger security problem as frontier models become increasingly capable.
- 3
OpenAI's New Agent Stack: Superhuman Computer Use, Dots, Decisions API, UltraFast, & the AI Cloud https://www.latent.space/p/devday-2026 @OpenAI’s @AriX and @nikunjhanda explain why Computer Use is already becoming faster than humans at real-world tasks, how Dots gives agents their own cloud computers, why better models can now debug and recover from failures, how Decisions API went from idea to product in weeks, and why async tools, UltraFast inference, caching, compaction, and higher-level agent primitives are turning OpenAI’s API into an AI-native cloud.
- 4
Recursive Language Models: Claude Code, Agent Swarms, Big Research Bets, & the $40M AI Problem Solver https://www.latent.space/p/rlm MIT’s @a1zhang explains why Claude Code, Codex, and Pi are basically the same, how RLMs use code, context offloading, and recursive subagents to generalize across tasks, why one expert can sometimes replace a trillion-token brute-force search, what OpenAI’s 10,000-agent, 130B-output-token experiment reveals about the future of language models, and why academia’s biggest advantage is the freedom to take weird, ambitious research bets.
- 5
.@AnthropicAI’s Thariq on what Claude Mods unlock: conversation context, subagents, structured output, and control over the UI. “It has a bunch of things in the scope … like how many turns is in this conversation, right? Like how many tokens have been used?” “Because it’s all happening in process, you can spawn subagents … you can parse the results of those, you can use structured output to sort of like return them.” “And then you can modify the UI, which you can never do in hooks.” @trq212 @ClaudeDevs
- 6
Inside-Out AI: change how the company works, then what customers experience. After leading Meta’s Llama models, @Airbnb CTO @Ahmad_Al_Dahle is putting that approach into practice — incl w/ Everest, an internal tool that helped speed up a product launch. https://www.latent.space/p/airbnb
- 7
we try!
- 8
It's true we no longer need to keep our laptops open, but for all the recent progress of OpenAI and Anthropic, cloud-based agent harnesses aren't fully solved yet. Maybe we need the creators of Kubernetes to tackle the problem? Stacklok is built by two of them, @cmcluck & @jbeda, and they aim to bring agent harnesses fully to the cloud. We talk to McLuckie and Beda about their "cloud-native harness": https://www.latent.space/p/stacklok
- 9
https://x.com/i/article/2112587682538987520
- 10
How Anthropic ships Claude with Claude https://latent.space/p/opus55/ Opus 5.5 is the #1 LLM in the world right now. We go behind the scenes of the launch, with @katelyn_lesse and @angjiang, heads of Eng and Product behind the platform used to build everything from the first party harnesses like Code/Tag/Duet and by >50% of Anthropic's top customers!
- 11
Quick lookback on technical AI themes of 2026: (dataset: daily http://latent.space ainews title stories) Jan: - Ralph Loops - RLMs - Filesystems are all you need - X LLM recsys open sourced - X Grok Imagine #1 Video model - Anthropic blocked OpenCode / OpenClaw - MCP Apps - Moltbook - Apple picks Gemini for new Siri - Notable models: Kimi K2.5 - Fast inference: OAI x Cerebras partnership - Big raises: xAI @ $230B + SpaceX, OpenEvidence @ $12B Feb: - Codex App launch - Claude Code 1 year anniversary - Context Graphs - Fast Inference: Taalas 17k tok/s/user Llama 3 8B - Anthropic vs Deepseek/Moonshot/Minimax distillation accusation - Notable models: Opus/Sonnet 4.6, 5.3 Codex and Codex Spark, Qwen-Image 2.0, Seedance 2.0, GLM-5, Gemini 3.1 Pro and Deep Think, Nano Banana 2 - Big raises: OpenAI @ $840B, Anthropic @ $380B, ElevenLabs @ $11B, Cerebras @ $23B Mar: - T3 Code - Autoresearch - Claude Code source leak - Claude Cowork Dispatch - OpenAI buys Astral - Cloudflare-Next.js "Slop Fork" - Meta buys Dreamer - NVIDIA GTC: OpenClaw, Vera CPU, 1T sales backlog, "The Inference Inflection" - ARC-AGI 3 introduced, SOTA models are 1% - Notable models: GPT 5.4 unifies chat and codex, Gemini 3.1 Flash-Lite/Live, Nemotron 3 Super, Composer 2, MiniMax 2.7, Arcee’s Trinity-Large-Thinking - Big Raises: Yann LeCun AMI Labs $1B seed Apr: - Claude Design - OpenAI Symphony & Harness Engineering discourse - @LilianWeng writeup later - OpenAI and Microsoft break up - Tokenmaxxing fears - Codex Superapp - AIE Europe, AIEi Miami - Hermes Agent gains traction w/ Manim skill - Cyber: Anthropic Project Glasswing - Notable models: Claude Mythos "Capybara", Opus 4.7, Muse Spark, Gemma 4, Kimi K2.6, GPT-Image-2, GPT 5.5 "Spud", DeepSeek v4 Pro/Flash Base/Instruct on Huawei Ascend, Poolside Laguna XS.2, Grok 4.3 - Big Raises: not much but Anthropic $19B->$30B ARR in one month... May: - Cyber: OpenAI Daybreak, Tanstack Mini-Shai Hulud - FDE: OpenAI DeployCo, Ode by Anthropic - OpenAI solve Erdos planar unit distance problem - OpenAI deprecates finetuning - "How to land a job at a frontier lab" - Anthropic rents Colossus I from SpaceX for $5B/yr - Thinking Machines Interaction Models (still underrated!!!) - Notable models: GPT-Realtime-2/Translate/Whisper, Gemini 3.5 Flash, Omni, Antigravity 2.0, Opus 4.8, Cosmos 3, Minimax M3 - Big Raises: Fireworks @ $15B, Baseten @ $11B, Cognition @ $26B, Cerebras $60B IPO, Anthropic @ $965B Jun: - Claude Tag - OpenAI Jalapeno - "The Untrainable" - @saranormous - Loopcraft: The Art of Stacking Loops - Metaharnesses discourse? Flue v Eve - Zai Prof @jietang predicts Open Fable by Dec - "SpaceX is a $28B/yr neocloud" - @jaminball - Anthropic-Fable White House issue (resolved) - Notable models: GPT 5.6 Sol/Terra/Luna, Fable 5, Sonnet 5, MAI-Thinking-1 and MAI Family, Nemotron 3 Ultra, GLM 5.2, Reve 2/ Ideogram 4 - Big Raises: SpaceXai buys Cursor for $60B, Supabase @ $10B Jul: - AIE World's Fair 3 - OpenCode 2.0 - Cyber: OpenAI-HuggingFace incident - Chinese Model ban discourse - GPT 5.6 Luna 80% price cut - Notable models: Grok 4.5, Opus 5, Muse Image, Thinky Inkling, Kimi K3, BFL FLUX 3, DeepSeek-v4-Flash-0731 - Big Raises: Aug: - EU AI text watermarking - Microduck - Megakernels - Memory prices up 500% in 12 months - How to steal a Reasoning Trace - Grok @bot! - OpenAI shuts off Cursor - Fast Inference: AMD buys Taalas - @andrewng stars AI Engineering series - Hot Chips: Jalapeno, Cerebrase CS-5, Groq 3, Apple M6 - Demis steps down from CEO, & Dean et al leave - Notable models: Qwen 3.8 Max, Muse Spark 1.2, Muse Glimmer, Grok 4.6, Gemini 3.7 Flash, GLM 5.3, @Fal H3 Max Live - Big Raises: Stripe buys OpenRouter $7B, Poolside $12B reverse-execuhire to NVIDIA, NVIDIA buys HuggingFace for $13B Sep: - AIEi Paris - OpenAI Navier-Stokes singularity - collusion . wiki - Yegge shuts down Gas Town - AEF-1 standard for Third Party Evaluators - Meta Muse App launch. Also new glasses and Charm - OpenAI blocks Cursor - OpenAI Dots - Opus 5.5 explainer videos - Pi 1.0 & Pi Durable - Notable Models: Fable 5.1, Mythos 5.1, Opus 5.5, GPT-6 Astra, GPT Image 2.5, DeepSeek v4.1-Flash, @typesafeai Jev, MiMo-v2.6-Pro new Open SOTA, GPT 6.1 Sol & Ultrafast & Decisions API, Gemini 4 Argon - Big Raises: Cognition @ $48B, Mistral @ $24B, AMD buys World Labs for $8.2B Oct to date: - AIE NYC - @dhh stops using Rails - ArtCraft clones Adobe suite - Interpretability vs Polysemanticity - OpenAI Quasi-Riemann-Hypothesis & 722 Math - Notable Models: Reflection Beam, Claude Haiku 5.5, Muse Wonder & Wonder Full reach Opus 5.5 tier - Big Raises: TypeSafe $7.5B 3 weeks after launch, Modal @ $16B (this was done for research purposes for the http://aie.codes keynote in Nov, just sharing notes in case helpfuil)
- 12
The Programmable Data Center @martin_casado’s Nicira virtualized networking by separating the control plane from the hardware. Cisco offered $600m; VMware bought it for $1.3b. Now that idea is coming to GPU infrastructure. @evanjconrad, CEO of @sfcompute, joins @swyx at @aiDotEngineer NYC to explain how SF Compute went from subleasing a cluster to making data centers programmable. We get into: • Why delivering a GPU trade means running the whole “hotel” • Interruptions, hardware generations and the GPU order book • Why physical settlement comes before compute derivatives • Why Evan thinks NVIDIA can’t build an independent market • Programmable InfiniBand and the data center as software The full conversation:
点赞、转发、浏览是采集那一刻的快照,不是帖子最终数据;时间为北京时间。KPI 卡片里的同比只在账号有 8 周以上数据时显示, 否则只看近 4 周。“打法建议”只说明数据里的相关性,不代表因果。