NVIDIA released Auto Ontology, an open-source library that builds a semantic layer from your enterprise metadata and exposes it to agents via MCP. Vendor tests claim **90% faster ontology building**.
The problem is familiar: agents that write SQL against your data use their own definitions, not the enterprise's. A "revenue" the agent calculates doesn't match the one in the financial report.
Auto Ontology builds a semantic layer from existing metadata (schemas, tables, columns, relations), reconciles definitions across systems, and exposes it to agents via MCP, CLI, or API. Nine MCP tools are provided to query the catalog, validate a query, or retrieve certified definitions.
What the account takes from this: the 90% gain comes from NVIDIA's own tests, not an independent measurement. The library automates construction, not governance. Business definitions, access rights, and auditing remain your responsibility.
The gesture: clone the repository, point it at a test schema, and see what entities and relations it extracts. The README shows the complete flow in ten minutes.
显示更多
Fable 5.5 might be released
before GPT 6.2 Astra.
🚀✨ GitHub Copilot App v1.4.2 released!
1 feature & enhancement in this release
Bug fixes:
• Fixed sessions failing to start or resume with 'Session plugin inputs changed during reload' error 🔧 when organizational policy conflicts with user settings on Computer Use
#
GitHubCopilotApp#
显示更多
Esto es una jodida locura. El CEO de Anthropic, Dario Amodei, fue preguntado qué debería hacer un chico que termina la secundaria ahora. Su respuesta:
"La IA puede hacer trabajo legal de nivel inicial. Puede hacer finanzas de nivel inicial. Puede hacer consultoría de nivel inicial.
No podemos negar que también eliminará empleos, y probablemente una gran cantidad de ellos"
En pocos minutos nombra qué trabajos se van primero y la única habilidad que te mantiene en el juego
Su propia predicción: el 50 por ciento de los empleos white-collar de nivel inicial se verán afectados en los próximos 1 a 5 años
Prompts → Agentes → Compañeros de trabajo IA → Trabajo de nivel inicial hecho por IA
De la agricultura a las fábricas tardó generaciones. Esta vez la IA impacta cada etapa de una carrera a la vez
Su consejo cabe en una línea: "Por supuesto, aprende a usar IA"
Las personas que empiecen este año no estarán compitiendo con la IA, serán quienes la dirijan
Todo lo de abajo es gratis. Empieza hoy:
Anthropic - Prompt Engineering Interactive Tutorial: la forma más rápida de aprender a dirigir un modelo
Anthropic Courses: desde tu primer prompt hasta ejecutar agentes
Anthropic Cookbook: recetas de tareas reales que puedes copiar hoy
Microsoft - Generative AI for Beginners: 21 lecciones, sin necesidad de título
Microsoft - AI Agents for Beginners: construye agentes que hagan el trabajo de nivel inicial por ti
Hugging Face - Agents Course: gratis y certificado, de principio a fin
Google Cloud - Generative AI: los notebooks prácticos de Google
OpenAI Cookbook: código para cada tarea común
- Prompt Engineering Guide: la referencia que todos enlazan
Andrej Karpathy - Neural Networks Zero to Hero: entiende qué hay debajo del capó
CrewAI: ejecuta un pequeño equipo de trabajadores de IA
Microsoft - AutoGen: pon varios agentes en un solo trabajo
Awesome LLM Apps: cientos de builds reales de los que aprender
- Short Courses: cursos gratuitos de 1 hora de quienes enseñan esto
Costo total: $0
No necesitas otro año de matrícula para aprender esto. Necesitas empezar a decirle a la IA qué hacer
El 95% se graduará y competirá con la IA por el mismo empleo de nivel inicial
El 5% que aprenda a dirigirla este año gestionará a los agentes que hacen ese trabajo
Guarda esto y envíalo a alguien que se gradúe este año
显示更多
X AI ALGORITHM UPDATE (BIG ONE) 🚨
X updated their open source algorithm yesterday and the biggest number in it is gone: copy link went from 20 to 0 points. Small accounts should focus on: posts people like, reply to and stay on (so stop counting on link copies)
tl;dr:
- on Nov 13 X's open source code set the score for copying a post's link to 0
- copy link: 20 → 0
- it was the top score in the whole system, 4x a reply
- the code also names a "copy link bait" spam check
- likes (0.708), replies (5) and DM shares (5) didn't move
full details:
- The number that's gone
Since I started reading X's open source code in August, one number sat at the top: 20, for someone tapping share and copying your post's link. Nothing else came close.
As of the Nov 13 release, it's 0.
X still guesses who'll copy your link. It just multiplies that guess by 0 now.
X didn't explain it. It's just what the code says.
(I check the open source algo daily with Claude and share updates with you)
- Cross it off your list
My own checklist called copy link the biggest number. Last week's post said it too.
It was true then. It isn't now. If you saved that list, cross that line out.
- The "copy link bait" check
X's code now mentions a spam check called "copy link bait". In the code it adds a spam label to the post, and that label already keeps a post out of strangers' feeds.
It only shows up in a test, so I can't see if it's running or how strict it is.
My read: X saw people baiting link copies, so it turned the score off and built something to catch the bait. That's a read, the code doesn't say why.
- Why that matters if you're small
If your plan was posts people copy the link to, that plan now earns 0 in X's ranking.
A copied link can still bring people in from outside X. It just doesn't push your post up anymore.
What still pays: likes at 0.708 (the highest ever), people staying on your post, replies at 5 and back and forth with mutuals at 20.
- Also new: photo and video tags
If a post has a spam label, people you tag in its photo or video who don't follow you won't get notified. Same idea as last week's rule for replies.
- What didn't change
Every other score. Your new posts still get their extra push in the first 2 hours and first 200 views, and early likes still pick which one gets it.
Here's a recap of what you should be doing:
- aim for likes, replies and time spent, the copy link score is gone
- a DM share still earns 5, same as a reply or a quote
- likes sit at 0.708, never higher
- time on your post keeps counting at its best rate yet
- 10+ seconds after someone taps in adds 0.385
- write your replies yourself, under big accounts most of all
- give people a reason to hang around your profile
- in videos the opening seconds carry it, an open alone scores 0
- posts read to the end help X find you strangers
- smaller accounts (below 50K) get a shot at a spot near 16 for a fresh original
- early likes decide which new post gets that spot
- post when your followers are awake, the push lasts 2 hours and 200 views
- mutuals going back and forth earn 20, so follow back the regulars
- only your originals ever get shown to strangers
- like 1 and like 32 each unlock another way to reach strangers
- one strong post per feed, your second only counts 62%
- clips longer than 10 seconds for the video lists
- a post likely to win you a follow gets +4
- give your pinned post a look, it can affect the whole account
What you should NOT be doing:
- counting on copy link shares, they score 0 now
- baiting link copies, the code names a spam check for exactly that
- a spam label also stops your photo tags reaching non-followers
- AI-written replies under big accounts, "llm slop" is a flag X uses
- copy-paste replies, labeled ones skip non-followers' notifications
- chasing taps, 0.274 and dropping
- drifting off your topic, each probable "not interested" takes 53.07 away
- videos people open and leave, the open itself earns 0
- posting at 3am, it wastes the 2 hour push
- expecting replies and reposts to reach strangers
- an insult label, it hides that post from non-followers
- earning a misinfo or low quality label, which adds a warning and locks strangers out of liking or sharing
- 3 adult photos or videos among your latest 5 posts, that puts a label on you
- forgetting videos get rechecked at 64 and 512 likes
- one account label and strangers stop seeing you
- pinning a link to a site X rates badly, that can mean a label for a week
- posting your own old words again risks the copypasta flag
- a low quality link plus tagged strangers reads as spam
- bait for engagement, big or small it gets a label
- several posts back to back, they split the same feed
- hashtag piles, they do nothing
- bookmarks for reach, they score 0
- hoping a 3 day old post still lands in For You, it stops at 2 days
显示更多
NAYEON SINGLE “NA-sty”
ONCE, NAYEON is hosting a listening party on Spotify!
RSVP at the links below to join the party, live with NAYEON.
🗓️November 20th at 5:30 PM KST / 03:30 AM ET / 12:30 AM PST
RSVP:
*available only for Premium users in select regions
Have a question for NAYEON? Submit it below!
🔗
🖥️[NA-sty] Pre-save🖥️
➮ Release
2026.11.20 FRI 2PM KST/0AM ET
#
TWICE# #
트와이스# #
NAYEON# #
나연#
#
NA_sty# #
BABY_ANGEL#
#
SpotifyListeningParty#
@SpotifyKR @SpotifyKpop
显示更多
Dario looks just like Cesare Borgia.
He has been fabricating stories from the very beginning, trying to frighten society, manipulate public opinion, and force the U.S. government to regulate AI. His political allies will then help Anthropic use regulation as a knife to kill open-source models, so they can achieve an oligopoly. To that end, he is even willing to team up with Altman—first eliminate everyone else.
The biggest threat to Dario is Jensen Huang, who supports open-source models, and Nvidia is also about to release its own open-source model.
The second threat is China’s open-source models.
This is why Dario uses the scare tactic that “AI will destroy humanity.” He even wants to turn AI into a religion. All religions originate from fear—they need an apocalypse to terrify the believers.
Because the Republicans are vigorously developing AI, the Democrats have turned around and started demanding limits and regulation on AI, using it as a political weapon to attack Trump and the Republican Party.
This is the American political-business game.
Have you learned it?
---
显示更多
Dario looks just like Cardinal Richelieu.
He has been fabricating stories from the very beginning, trying to frighten society, manipulate public opinion, and force the U.S. government to regulate AI. His political allies will then help Anthropic use regulation as a knife to kill open-source models, so they can achieve an oligopoly. To that end, he is even willing to team up with Altman—first eliminate everyone else.
The biggest threat to Dario is Jensen Huang, who supports open-source models, and Nvidia is also about to release its own open-source model.
The second threat is China’s open-source models.
This is why Dario uses the scare tactic that “AI will destroy humanity.” He even wants to turn AI into a religion. All religions originate from fear—they need an apocalypse to terrify the believers.
Because the Republicans are vigorously developing AI, the Democrats have turned around and started demanding limits and regulation on AI, using it as a political weapon to attack Trump and the Republican Party.
This is the American political-business game.
Have you learned it?
---
显示更多
窝趣!Obsidian 的 CEO 把自己用的知识库模板放到 GitHub 上了。
想用 Obsidian 搭建个人知识库,但不知道怎么分类、怎么组织笔记的朋友,可以先看看他的模板。
除了知识库模板,Obsidian 官方和 CEO Steph Ango(kepano)还分享了几个相关项目,我整理了 7 个:
1、40 Questions:年度复盘问题
kepano 整理的一份问题清单,用来回顾自己过去一年或一个阶段的生活。
不知道年度复盘从哪里开始的朋友,可以挑几个问题,结合自己的日记和笔记来回答。
2、Minimal:Obsidian 主题
一个简洁、可自定义的 Obsidian 主题。喜欢干净一点的笔记界面,可以在 Obsidian 的主题市场里搜索 Minimal。
3、obsidian-sample-plugin:官方插件模板
如果你用 Obsidian 的时候,发现现有插件满足不了自己的需求,可以拿这个官方模板作为起点,尝试开发一个自己的插件。
也可以把仓库交给 Codex,让它先帮你解释项目结构和开发步骤。
4、kepano-obsidian:个人知识库模板
Obsidian 的 CEO 把自己使用的 Vault 模板放到了 GitHub 上。里面展示了他组织笔记和资料的方式,可以下载下来研究,再根据自己的需求修改。
注意,这是公开的模板,不是他完整的私人知识库。
5、Flexoki:写作和编程配色
kepano 为写作和代码设计的一套配色。如果你想调整 Obsidian、编辑器或者自己网站的颜色,可以参考这套方案。
6、obsidian-releases:插件和主题目录
这里维护了 Obsidian 的社区插件目录、主题目录和公开版本信息。
想找插件、研究社区都有哪些工具,可以从这里入手。仓库本身不包含 Obsidian 的源代码。
7、JSON Canvas:开放式画布格式
Obsidian 的 Canvas 可以用来把笔记、图片和想法放到一张画布上。
JSON Canvas 是用于保存这些画布数据的开放文件格式。对想研究画布工具,或者希望了解画布数据怎么存储的朋友,可以看看这个项目。
如果你是刚开始用 Obsidian,我建议先看知识库模板和 Minimal 主题:先把笔记写起来,用一段时间之后,再根据自己的需求调整分类和插件。
显示更多