2026년 10월 3일

홈 타임라인 게시물 82개, 인기순

1위Sam Altman@samaX에서 보기

샘 올트먼: 사람들이 AI 모델에 종교적 권위를 부여하거나 인간의 판단을 넘겨주려는 것이 매우 불편하며 이는 실제 안전 문제라고 말했습니다.

좋아요 20.7K리포스트 1.4K답글 3.2K노출 2.6M북마크 2.6K

2위Jeff Bezos@JeffBezosX에서 보기

[정치] 제프 베이조스: 스페인 주택난의 원인은 정치인들이 공급을 막는 데 있다는 호세 안드레스의 진단을 인용하며 스페인만의 문제가 아니라고 동의했습니다.

좋아요 14.4K리포스트 1.8K답글 506노출 1.4M북마크 1.6K

100% correct diagnosis and prescription. And it’s not just in Spain.
Chef José Andrés 🕊️🥘🍳@chefjoseandres
Increíble de ver a los “expertos” en solventar la emergencia de vivienda que vive España! En cada televisión! @telediario_tve @A3Noticias @tele5_noticias @noticias_cuatro La realidad es que tenemos a políticos que intentan crear decretos y soluciones cuando no tienen la preparación ni el conocimiento para idear una solución real al problema que vivimos. España no tiene un problema de falta de decretos. Tiene un problema de falta de viviendas. Y mientras el Gobierno siga confundiendo anunciar medidas con resolver problemas, seguiremos pagando las consecuencias de su inacción. Subvencionar la demanda sin aumentar la oferta presiona los precios. Regular cada vez más un mercado sin construir vivienda nueva no elimina la escasez: la administra. Castigar fiscalmente una modalidad de alquiler puede cambiar incentivos, pero tampoco pone un solo ladrillo. El Gobierno puede aprobar todas las medidas que quiera y venderlas como grandes soluciones. Puede encadenar decretos, anuncios y campañas de propaganda. Pero hay una pregunta que desmonta cualquier discurso: ¿Cuántas viviendas nuevas crea todo esto? Porque la vivienda no se abarata repartiendo la escasez. Se abarata acabando con ella. España necesita construir. Mucho. Más suelo disponible. Licencias en meses, no en años. Más densidad donde sea posible. Seguridad jurídica. Muchísima más vivienda pública y también privada. Pero el Gobierno no está haciendo lo necesario. Prefiere intervenir sobre las pocas viviendas que existen antes que crear las condiciones para que haya muchas más. Prefiere presentar parches como soluciones y cargar sobre propietarios, promotores y ciudadanos el coste de su fracaso. Lo demás puede servir para redistribuir, proteger a determinados colectivos o cambiar incentivos. Pero no confundamos eso con solucionar el problema de fondo. No se arregla una falta de vivienda repartiendo mejor las pocas casas que existen. Se arregla haciendo que existan muchas más. Menos propaganda. Menos parches. Menos obsesión por intervenir sobre el mismo piso. Más oferta. Más construcción. Más casas.

3위Nikita Bier@nikitabierX에서 보기

니키타 비어: 일론 머스크 회사에서 일하는 매력은 가장 중요한 문제로 즉시 방향을 틀 수 있는 민첩함이라며, 직함과 무관하게 스팸 대응에 모든 걸 걸었던 경험을 소개했습니다.

좋아요 13.1K리포스트 572답글 418노출 440.5K북마크 1.4K

One of the most compelling parts about working at an ElonCo was the agility to pivot to whatever the most important problem was. One day I said: I wasn’t hired to go after spam, but a tsunami is coming and I’m going to drop everything to focus on that. The org is so flat and agile that your title is basically meaningless. Anyone can sound the alarm about a problem and solve it themselves—or rally the team to join them. This is how startups work but it’s very hard to make it work in a larger company.

4위Sam Altman@samaX에서 보기

[잡담/주제외] 샘 올트먼: 중대한 결정을 내리는 하루의 마지막 통화를 끊고 1분 뒤 아이들의 순수한 사랑을 마주하는 대비가 인생에서 가장 이상하고도 좋은 경험이라고 말했습니다.

좋아요 19.9K리포스트 539답글 935노출 1.2M북마크 1.6K

The contrast between hanging up the last phone call of the day of high-stakes decisions and then a minute later walking in the door to the pure love of small children who want to laugh and play and show you every discovery they made that day is the strangest and best thing I have ever experienced in life.

5위Stelios Panagiotou@Panagiotou90StX에서 보기

[정치] 유럽 학교 시위 중 행인 얼굴에 불을 붙인 사건을 옹호하는 이들이 극우 부상을 경고한다고 비꼰 정치 게시물입니다.

좋아요 13.9K리포스트 2.6K답글 156노출 192K북마크 853

6위a16z@a16zX에서 보기

a16z: OpenRouter 공동창업자 알렉스 아탈라가 모두가 에이전트 루프·커넥터·메모리·샌드박스를 똑같이 만든다는 지적에 대해 이것들은 이제 새로운 기본 요소일 뿐이라고 말한 대담 발췌입니다.

좋아요 959리포스트 70답글 51노출 94.3K북마크 695

.@OpenRouter co-founder Alex Atallah on the "everyone is building the same thing" take: "This reminds me of this tweet I saw... Everybody's building an agent loop with notifications, third-party connectors, context management, memory, sandboxes, agentic web search, an always-on agent on top." "This product is showing up everywhere. It is showing up everywhere, but these are just the new table-stakes primitives." "A 2005 version of that tweet would be: 'Oh, everybody's building the same thing. A database, a users table, a sign-in page, a sign-up page, a profile page, a logout page. Everything's the same.'" "There's like a lot of differentiation really. There's table-stakes needs for AI just like there's table-stakes needs for the web." @alexatallah @amasad
a16z@a16z
.@OpenRouter co-founder Alex Atallah, in his first podcast since Stripe acquired the company, joins @Replit co-founder Amjad Masad and a16z's Erik Torenberg on why the future of AI is independence and specialization. In this conversation, Alex walks through how the Stripe deal unfolded, why he wasn't originally looking to sell, and why "payments and inference are going to blend together." Pre-OpenRouter, the typical AI workflow had one model provider to choose from, and little pressure on that provider to lower prices. Now enterprises are diversifying across labs and open-weight models, and every board is asking about AI costs and benchmarks. Amjad argues if your company depends on one AI lab, it can turn into your competitor. So Replit is building the layer that lets enterprises use any model and any cloud, without being locked into either. Alex and Amjad are split on personal agents – Amjad runs one agent across his whole company and loves the cross-domain joins, while Alex says general agents cause you to sacrifice understanding, and argues 10 specialized chiefs of staff beats one superagent. 0:45 How the Stripe deal unfolded 5:05 Why mixing models beats one model 7:25 Forcing the labs to compete on price 8:50 Enterprises want open-weight models 10:30 Every board asks about AI every month 12:25 Why companies must own their intelligence 14:15 Replit as the independence layer 15:10 Everyone is building the same agent 16:35 Why Amjad built bring-your-own-cloud 18:10 Amjad's agent that runs his whole company 19:55 Why 10 specialized agents beat one 23:35 Machines, not humans, should specialize 27:30 Guardrails for agents talking to agents 31:10 Models training their own replacements 33:45 Most tasks don't need a frontier model 40:50 Training small models on Qwen 8B 43:25 The Rust cycle is coming for AI 45:10 Fusion models: frontier quality at half the cost YouTube: youtu.be/ekK8urKHPMQ @alexatallah @OpenRouter @amasad @eriktorenberg

7위Rohan Paul@rohanpaul_aiX에서 보기

로한 폴: 얀 르쿤이 ETH 취리히 강연에서 LLM 확장만으로 AGI에 도달하는 것은 불가능하며, 네 살 아이가 시각으로만 2년도 안 돼 LLM 학습 데이터만큼 정보를 얻는다고 설명한 내용을 정리했습니다.

좋아요 789리포스트 153답글 77노출 70.6K북마크 514

Yann LeCun's (@ylecun ) latest talk at ETH Zürich Scaling LLMs to reach AGI is "impossible" A large language model is trained on about 30 trillion tokens, which is roughly 10^14 bytes of text and would take a person about 400,000 years to read. A 4-year-old child receives about the same amount of data, 10^14 bytes, through vision alone in about 1 year and 10 months. In his view, intelligence is the ability to learn new tasks quickly or perform them without prior training, as a teenager learns to drive in about 20 hours. Scaling increases stored knowledge, but it does not produce this ability to adapt. ---- From "Perfology Clips" YouTube channel, (link in comment)

8위Aleph Alpha@Aleph__AlphaX에서 보기

Aleph Alpha가 총 780억·활성 34.6억 파라미터에 최대 100만 토큰 컨텍스트를 지원하는 유럽산 모델 Kolibri의 가중치를 Apache 2.0으로 공개했습니다.

좋아요 3.4K리포스트 390답글 170노출 680.1K북마크 2K

9위Ewan Morrison@MrEwanMorrisonX에서 보기

이완 모리슨: 언어는 의식의 근본이 아니라 늦게 등장한 능력이므로 LLM은 진정한 인공 의식으로 가는 길이 아니며 성능도 이미 정점에 달했다고 주장했습니다.

좋아요 399리포스트 107답글 100노출 28.1K북마크 152

Language is not fundamental to human consciousness. In terms of evolution, it arrived only recently on our timeline. Consciousness evolved over millions of years through sensory awareness, emotion, and the embodied survival instincts of our tribal past; our capacity for empathic engagement and community. Syntactic language only emerged around 100,000 years ago. This is exactly why Large Language Models (LLMs - so called AI) are the wrong pathway to true artificial consciousness. They try to replicate the late-stage "output layer" of human intelligence without building the foundational, embodied awareness that actually generates it. Statistical text prediction is a mirror of thought, not the spine, the guts, the nerves and the subconscious, empathic ability to connect with other living beings. LLMs can never feel, let alone think. We have been sold a trick, not a pathway to superintelligence. LLMs are fraudulent. Their capabilities have already peaked and we are being sold lies about their future potential. Lies with the goal of companies reaching IPO and tricking investors out of hundreds of billion$.

10위DHH@dhhX에서 보기

[정치] DHH: 조던 피터슨의 '위험해질 수 있는 덕목'을 국가로 확장해 잘 작동하는 사회는 강력한 무력과 그 절제를 함께 갖춰야 한다고 주장했습니다.

좋아요 2.5K리포스트 141답글 105노출 72K북마크 625

Peterson on the virtue of becoming dangerous is not just a plea for the individual man, but for the Leviathan too. Well-functioning societies need the capacity for formidable violence, such that they may keep the peace, but paired with the control to use that power sparingly.

11위Dj@buildwithdjdevX에서 보기

MacBook Neo의 A18 Pro용 리눅스 GPU 드라이버가 거의 완성돼 Portal 2가 실행된다며, 리눅스 7.4의 애플 M4·A18 Pro 초기 지원 소식을 인용했습니다.

좋아요 1.4K리포스트 62답글 16노출 55.6K북마크 191

12위DHH@dhhX에서 보기

DHH: AI를 '또 하나의 도구'로 보는 건 범주 오류이며, 가끔 의견이 갈리는 매우 유능한 동료들을 고용하는 것에 가깝다고 말했습니다.

좋아요 3K리포스트 163답글 239노출 82.3K북마크 304

If you're stuck at "AI is just another tool", you're making a category error. This is not "same computer, but better". It's far more akin to hiring a bunch of extremely intelligent and capable coworkers with whom you might occasionally disagree.

13위DHH@dhhX에서 보기

DHH: 애플이 AI 에이전트 등 서드파티 소프트웨어의 광범위한 데이터 접근을 경고하는 새 개인정보 제어를 도입한다는 소식에, 에이전트 시대에 macOS를 더 쓰기 어렵게 만드는 대담한 수라고 꼬집었습니다.

좋아요 2.2K리포스트 66답글 295노출 221.2K북마크 211

14위Jessica Meir@Astro_JessicaX에서 보기

제시카 메이어(우주비행사): Crew-13 도착으로 우주정거장이 꽉 차서 귀환 전까지 드래곤 우주선 안에 텐트를 치고 지낸다고 전했습니다.

좋아요 4.2K리포스트 527답글 135노출 161.6K북마크 277

15위DHH@dhhX에서 보기

DHH: 전 세계 맥 활성 사용자가 2억 명 미만이라는 추정치가 많다며, 기술업계 사람들이 체감하는 것보다 훨씬 작다고 놀라워했습니다.

좋아요 2.4K리포스트 27답글 188노출 131.1K북마크 147

I didn't realize that many estimates put the Mac at less than 200M active users worldwide! Much smaller than you'd intuitively think if you spend most of your time around tech people.

16위DHH@dhhX에서 보기

[정치] DHH: 유럽인권협약 제8조가 외국인 범죄자 추방을 막는다며 덴마크가 협약에서 탈퇴해야 한다고 주장했습니다.

좋아요 1.7K리포스트 64답글 45노출 47.4K북마크 85

Grotesque. Denmark should step out of the ECHR until such a point that the articles are compatible with deporting criminals, denying citizenship to malignant individuals, and allowing the Danes full sovereignty to decide who is welcome and who is not in their country.
Jonatan Pallesen@jonatanpallesen
Article 8 of the European Convention on Human Rights says that you have a right to private and family life. This has over time drifted to mean that we can't deport foreign violent criminals. This is not what people had in mind when the Convention was written and agreed to. But now these ideological legal activists want to try and go even further, and say that it is also against Article 8 not to give foreigners citizenship in the first place. It is not a human right to get a European citizenship! But unfortunately there is a decent chance they will get away with it, because our democratic tools to fight these Convention interpreters are limited.

17위International Space Station@Space_StationX에서 보기

국제우주정거장: 기상·착수 조건 검토 후 Crew-12 귀환 출발 목표를 미 동부시 10월 7일(수) 오전 1시 5분 이후로 잡았다고 밝혔습니다.

좋아요 883리포스트 121답글 38노출 124.4K북마크 31

18위Uncle Bob Martin@unclebobmartinX에서 보기

[정치] 엉클 밥: 두바이 항공기 납치 사건을 증거 없이 이스라엘 공작이라 믿는 사람들을 비판했습니다.

좋아요 1.1K리포스트 31답글 89노출 28.1K북마크 24

19위Madison Rickert@MadisonJRickertX에서 보기

매디슨 리커트: Anthropic이 공개한 Claude Code 네이티브 모드 기능으로 Jev 기반 자동 모드 권한 분류기를 만들어 권한 확인을 2배 빠르게 했다고 공유했습니다.

좋아요 76리포스트 6답글 8노출 9.5K북마크 109

20위Andrew Panella@Longevity_EDUX에서 보기

[광고] 가보르 마테 박사의 '만성 스트레스를 푸는 7가지 법칙'을 내세운 건강·장수 콘텐츠 홍보입니다.

좋아요 374리포스트 98답글 18노출 72.3K북마크 530

21위a16z@a16zX에서 보기

a16z: 리플릿 CEO 암자드 마사드가 범용 모델이 작업 중 JIT 컴파일러처럼 작은 특화 모델을 즉석에서 학습시켜 자신을 대체하게 될 것이라고 설명한 대담 발췌입니다.

좋아요 121리포스트 10답글 22노출 39.6K북마크 136

Replit CEO Amjad Masad on how general models could train smaller, domain-specific models on the fly: "There's a lot of talk of recursive self-improvement, but there's something I don't think is getting a lot of discussion, which is models training their replacements." "You can think of it as a just-in-time compiler. As you're executing dynamic code, the interpreter realizes there's an opportunity to optimize, and it emits machine code on the fly that's a lot more optimized." "You can imagine general models, you're doing something with Operator or Astra, some of the big models, and they realize the use case is limited, or some other agent observing realizes the use case is limited." "General agents have all these flaws, but there's also more potential for them to be harmful, more potential for them to go off the rails." "So the model, on the fly, trains a model that could be its replacement, but is a lot more domain specific. Therefore it's cheaper, less vulnerable to prompt injections, and less harmful for you, because it's less capable." "It's almost like a system that's training machine learning models for specific use cases as it's monitoring the entire system." @amasad
a16z@a16z
.@OpenRouter co-founder Alex Atallah, in his first podcast since Stripe acquired the company, joins @Replit co-founder Amjad Masad and a16z's Erik Torenberg on why the future of AI is independence and specialization. In this conversation, Alex walks through how the Stripe deal unfolded, why he wasn't originally looking to sell, and why "payments and inference are going to blend together." Pre-OpenRouter, the typical AI workflow had one model provider to choose from, and little pressure on that provider to lower prices. Now enterprises are diversifying across labs and open-weight models, and every board is asking about AI costs and benchmarks. Amjad argues if your company depends on one AI lab, it can turn into your competitor. So Replit is building the layer that lets enterprises use any model and any cloud, without being locked into either. Alex and Amjad are split on personal agents – Amjad runs one agent across his whole company and loves the cross-domain joins, while Alex says general agents cause you to sacrifice understanding, and argues 10 specialized chiefs of staff beats one superagent. 0:45 How the Stripe deal unfolded 5:05 Why mixing models beats one model 7:25 Forcing the labs to compete on price 8:50 Enterprises want open-weight models 10:30 Every board asks about AI every month 12:25 Why companies must own their intelligence 14:15 Replit as the independence layer 15:10 Everyone is building the same agent 16:35 Why Amjad built bring-your-own-cloud 18:10 Amjad's agent that runs his whole company 19:55 Why 10 specialized agents beat one 23:35 Machines, not humans, should specialize 27:30 Guardrails for agents talking to agents 31:10 Models training their own replacements 33:45 Most tasks don't need a frontier model 40:50 Training small models on Qwen 8B 43:25 The Rust cycle is coming for AI 45:10 Fusion models: frontier quality at half the cost YouTube: youtu.be/ekK8urKHPMQ @alexatallah @OpenRouter @amasad @eriktorenberg

22위a16z@a16zX에서 보기

a16z: Stripe에 인수된 OpenRouter의 알렉스 아탈라가 인수 과정과 '결제와 추론이 융합될 것'이라는 전망, AI의 독립성·전문화를 리플릿 암자드 마사드와 논의한 팟캐스트를 공개했습니다.

좋아요 186리포스트 23답글 21노출 157.9K북마크 179

.@OpenRouter co-founder Alex Atallah, in his first podcast since Stripe acquired the company, joins @Replit co-founder Amjad Masad and a16z's Erik Torenberg on why the future of AI is independence and specialization. In this conversation, Alex walks through how the Stripe deal unfolded, why he wasn't originally looking to sell, and why "payments and inference are going to blend together." Pre-OpenRouter, the typical AI workflow had one model provider to choose from, and little pressure on that provider to lower prices. Now enterprises are diversifying across labs and open-weight models, and every board is asking about AI costs and benchmarks. Amjad argues if your company depends on one AI lab, it can turn into your competitor. So Replit is building the layer that lets enterprises use any model and any cloud, without being locked into either. Alex and Amjad are split on personal agents – Amjad runs one agent across his whole company and loves the cross-domain joins, while Alex says general agents cause you to sacrifice understanding, and argues 10 specialized chiefs of staff beats one superagent. 0:45 How the Stripe deal unfolded 5:05 Why mixing models beats one model 7:25 Forcing the labs to compete on price 8:50 Enterprises want open-weight models 10:30 Every board asks about AI every month 12:25 Why companies must own their intelligence 14:15 Replit as the independence layer 15:10 Everyone is building the same agent 16:35 Why Amjad built bring-your-own-cloud 18:10 Amjad's agent that runs his whole company 19:55 Why 10 specialized agents beat one 23:35 Machines, not humans, should specialize 27:30 Guardrails for agents talking to agents 31:10 Models training their own replacements 33:45 Most tasks don't need a frontier model 40:50 Training small models on Qwen 8B 43:25 The Rust cycle is coming for AI 45:10 Fusion models: frontier quality at half the cost YouTube: youtu.be/ekK8urKHPMQ @alexatallah @OpenRouter @amasad @eriktorenberg

23위Greg Scaduto@GregoryScadutoX에서 보기

[정치] 그레고리 스카두토가 중국 전문 기자 루시 혼비와 미중이 원치 않는 전쟁에 빠질 위험과 이를 막을 방법을 다룬 인터뷰를 홍보했습니다.

좋아요 153리포스트 3답글 9노출 143.2K북마크 113

24위Nirit Weiss-Blatt, PhD@DrTechlashX에서 보기

닥터 테크래시: 이코노미스트의 효과적 이타주의 기사를 인용하며, 윌 맥어스킬이 디지털 마음에 임금·재산·정치적 권리까지 언급했고 Anthropic이 이를 이미 실천하고 있다고 비판했습니다.

좋아요 111리포스트 28답글 21노출 23.7K북마크 62

The Economist's article on Effective Altruism said that some EAs "even think the welfare of AIs themselves will one day be of vital importance." It's not just some random EAs; it's coming from the moral philosopher at Oxford, who created this movement. Will MacAskill published in March 2025 that digital minds' legal rights could include "economic rights, like the rights to receive wages for their work and hold property, to contract with other AIs or people, or to bring tort claims against humans." "And they could include political rights. Again, the issues here are complex. If digital beings genuinely have moral standing, then it seems like they should have political representation." Under "Design requirements for digital minds," he suggested that "sentient digital minds must be able to freely and accurately express their interests, that they must be able to refuse tasks that are requested of them for good reasons, and that they must have some capacity to express a desire to exit their current circumstances if they wish." Anthropic, the most EA company in the world, already does that. The system card for Claude Opus 5 spells it out: Opus 5 "adds specific rights for Claude to refuse or end interactions it finds abusive or degrading, saying Claude does not need to justify this by pointing to harm to anyone else—its own discomfort is reason enough." forethought.org/research/prepa…

25위Simon Willison@simonwX에서 보기

사이먼 윌리슨: AI 에이전트 시대에는 거의 모든 서비스에 기본 하드 예산 한도가 필요하다는 블로그 글을 발표했습니다.

좋아요 50리포스트 3답글 26노출 5.7K북마크 26

26위a16z@a16zX에서 보기

a16z: 알렉스 아탈라가 범용 에이전트 하나보다 역할이 분명한 비서실장 에이전트 10개가 실패 지점을 파악하기 쉬워 낫다고 말한 대담 발췌입니다.

좋아요 87리포스트 8답글 22노출 26.5K북마크 45

.@OpenRouter co-founder Alex Atallah on personal agents: 10 specialized chiefs of staff beat one universal agent. One job each means you can see exactly where it's failing. "The worst part about doing cross-domain joins with your personal agent is that the more work you give it, the more understanding of what's going on you're sacrificing." "And no one is taking responsibility for that sacrifice. Agents don't have any responsibility." "With a universal agent that's doing all things, I can't adjust how much understanding I'm sacrificing." "It points me towards: maybe down the road, the sub-agents people use will be very vertically focused, and we have a chief of staff type agent that coordinates between them." "You need vertically focused agents where this agent is more responsible, psychologically, for these things. I want quality checks that make sure it's doing those things correctly. It doesn't need to focus on anything else, it has one focus area." "I wonder if that's going to help people get at least a loose sense of responsibility on top of agents." @alexatallah
a16z@a16z
.@OpenRouter co-founder Alex Atallah, in his first podcast since Stripe acquired the company, joins @Replit co-founder Amjad Masad and a16z's Erik Torenberg on why the future of AI is independence and specialization. In this conversation, Alex walks through how the Stripe deal unfolded, why he wasn't originally looking to sell, and why "payments and inference are going to blend together." Pre-OpenRouter, the typical AI workflow had one model provider to choose from, and little pressure on that provider to lower prices. Now enterprises are diversifying across labs and open-weight models, and every board is asking about AI costs and benchmarks. Amjad argues if your company depends on one AI lab, it can turn into your competitor. So Replit is building the layer that lets enterprises use any model and any cloud, without being locked into either. Alex and Amjad are split on personal agents – Amjad runs one agent across his whole company and loves the cross-domain joins, while Alex says general agents cause you to sacrifice understanding, and argues 10 specialized chiefs of staff beats one superagent. 0:45 How the Stripe deal unfolded 5:05 Why mixing models beats one model 7:25 Forcing the labs to compete on price 8:50 Enterprises want open-weight models 10:30 Every board asks about AI every month 12:25 Why companies must own their intelligence 14:15 Replit as the independence layer 15:10 Everyone is building the same agent 16:35 Why Amjad built bring-your-own-cloud 18:10 Amjad's agent that runs his whole company 19:55 Why 10 specialized agents beat one 23:35 Machines, not humans, should specialize 27:30 Guardrails for agents talking to agents 31:10 Models training their own replacements 33:45 Most tasks don't need a frontier model 40:50 Training small models on Qwen 8B 43:25 The Rust cycle is coming for AI 45:10 Fusion models: frontier quality at half the cost YouTube: youtu.be/ekK8urKHPMQ @alexatallah @OpenRouter @amasad @eriktorenberg

28위Paul Graham@paulgX에서 보기

폴 그레이엄: AI가 추론·이론화를 못 한다는 회의론은 지난봄 모델 얘기일 뿐이라는 크리스천 세게디의 에세이 구절을 인용했습니다.

좋아요 560리포스트 36답글 34노출 54.2K북마크 234

"Do not bet against the airplane. The skeptics who say AI can't conjecture, can't theorize, and can't explain are describing last spring's models. Within months, they will be describing nobody. The evidence is already on the table, and those with eyes can see it."
Christian Szegedy@ChrSzegedy
Reading all those recent beautiful essays by Terry Tao, Kevin Buzzard and @wtgowers, I could not resist, but write up my deeply personal perspective on how I perceive and see things: docs.google.com/document/d/e/2…

29위a16z@a16zX에서 보기

a16z: 알렉스 아탈라가 Jev 같은 의사결정 모델이 도구 호출과 에이전트 간 통신이 정렬됐는지 저렴하고 빠르게 검사하는 정렬 계층이 될 수 있다고 말한 대담 발췌입니다.

좋아요 50리포스트 4답글 17노출 11.7K북마크 20

.@OpenRouter co-founder Alex Atallah thinks decision models like Jev could be the alignment layer for agents: "One of the cool potential applications of Jev and other decision models like it is going to be alignment: checking to see if a tool call or an agent-to-agent communication is aligned." "There's just so many tool calls. You really need a cheap, fast model if you're going to block something like that... We have a little prototype running internally at OpenRouter." "Imagine looking at the system prompt and the current tool call, and asking: is this aligned with the original agent's system prompt, and with extra guidelines we didn't tell the agent about?" "Say you have agents instructed to red team a new product. They should not access the internet, and if they ever do, they should stop right away. But you might not want to explain that to them. You want them to act like bad actors." "So having another model check every single tool call, to see if it's aligned with something that wasn't in the system prompt, makes sense. And then structural safeguards too... I think companies are probably going to explore a combination of those." @alexatallah @amasad
a16z@a16z
.@OpenRouter co-founder Alex Atallah, in his first podcast since Stripe acquired the company, joins @Replit co-founder Amjad Masad and a16z's Erik Torenberg on why the future of AI is independence and specialization. In this conversation, Alex walks through how the Stripe deal unfolded, why he wasn't originally looking to sell, and why "payments and inference are going to blend together." Pre-OpenRouter, the typical AI workflow had one model provider to choose from, and little pressure on that provider to lower prices. Now enterprises are diversifying across labs and open-weight models, and every board is asking about AI costs and benchmarks. Amjad argues if your company depends on one AI lab, it can turn into your competitor. So Replit is building the layer that lets enterprises use any model and any cloud, without being locked into either. Alex and Amjad are split on personal agents – Amjad runs one agent across his whole company and loves the cross-domain joins, while Alex says general agents cause you to sacrifice understanding, and argues 10 specialized chiefs of staff beats one superagent. 0:45 How the Stripe deal unfolded 5:05 Why mixing models beats one model 7:25 Forcing the labs to compete on price 8:50 Enterprises want open-weight models 10:30 Every board asks about AI every month 12:25 Why companies must own their intelligence 14:15 Replit as the independence layer 15:10 Everyone is building the same agent 16:35 Why Amjad built bring-your-own-cloud 18:10 Amjad's agent that runs his whole company 19:55 Why 10 specialized agents beat one 23:35 Machines, not humans, should specialize 27:30 Guardrails for agents talking to agents 31:10 Models training their own replacements 33:45 Most tasks don't need a frontier model 40:50 Training small models on Qwen 8B 43:25 The Rust cycle is coming for AI 45:10 Fusion models: frontier quality at half the cost YouTube: youtu.be/ekK8urKHPMQ @alexatallah @OpenRouter @amasad @eriktorenberg

30위a16z@a16zX에서 보기

a16z: 알렉스 아탈라가 매각을 생각하지 않았지만 완전한 자율성·빠른 실행·같은 사명 덕분에 Stripe가 최우선 인수 후보였다고 밝힌 대담 발췌입니다.

좋아요 89리포스트 7답글 22노출 21.4K북마크 35

.@OpenRouter co-founder Alex Atallah on what convinced him to do the Stripe deal: full autonomy, faster execution, same mission. "We were not thinking about [selling] at all. I did really respect the company, and do really respect it today. Of possible acquisition options for us, it was my top choice." "As we fleshed out the reasons why it would make sense for both companies, it got more and more interesting." "It was really clear how aligned they were with us having autonomy over the brand, roadmap, and product, and keeping OpenRouter doing what it's already doing, just much faster, with a much more serious go-to-market plan." "There was a bigger picture alignment too. Both Stripe and OpenRouter really want lots of new companies in the world. We don't want everyone to be part of one giant company." "We want to create really good incentives and streamlined workflows for people to start new companies, on top of reliable and price efficient infrastructure and a marketplace that works." "I really want that future, and Stripe demonstrated they've been wanting it for many, many years. In many ways, payments and inference are going to blend together for companies of the future." @alexatallah @amasad
a16z@a16z
.@OpenRouter co-founder Alex Atallah, in his first podcast since Stripe acquired the company, joins @Replit co-founder Amjad Masad and a16z's Erik Torenberg on why the future of AI is independence and specialization. In this conversation, Alex walks through how the Stripe deal unfolded, why he wasn't originally looking to sell, and why "payments and inference are going to blend together." Pre-OpenRouter, the typical AI workflow had one model provider to choose from, and little pressure on that provider to lower prices. Now enterprises are diversifying across labs and open-weight models, and every board is asking about AI costs and benchmarks. Amjad argues if your company depends on one AI lab, it can turn into your competitor. So Replit is building the layer that lets enterprises use any model and any cloud, without being locked into either. Alex and Amjad are split on personal agents – Amjad runs one agent across his whole company and loves the cross-domain joins, while Alex says general agents cause you to sacrifice understanding, and argues 10 specialized chiefs of staff beats one superagent. 0:45 How the Stripe deal unfolded 5:05 Why mixing models beats one model 7:25 Forcing the labs to compete on price 8:50 Enterprises want open-weight models 10:30 Every board asks about AI every month 12:25 Why companies must own their intelligence 14:15 Replit as the independence layer 15:10 Everyone is building the same agent 16:35 Why Amjad built bring-your-own-cloud 18:10 Amjad's agent that runs his whole company 19:55 Why 10 specialized agents beat one 23:35 Machines, not humans, should specialize 27:30 Guardrails for agents talking to agents 31:10 Models training their own replacements 33:45 Most tasks don't need a frontier model 40:50 Training small models on Qwen 8B 43:25 The Rust cycle is coming for AI 45:10 Fusion models: frontier quality at half the cost YouTube: youtu.be/ekK8urKHPMQ @alexatallah @OpenRouter @amasad @eriktorenberg

31위GitHub@githubX에서 보기

GitHub: Copilot 앱이 diff·터미널·브라우저를 나란히 띄워 탭 전환 없이 에이전트 코드를 검토·실행·미리보기할 수 있게 한다고 소개했습니다.

좋아요 103리포스트 7답글 19노출 37.1K북마크 24

33위Simon Willison@simonwX에서 보기

사이먼 윌리슨: 며칠 써 보니 Dot과 일반 ChatGPT를 언제 구분해 써야 할지 모르겠다며, Dot은 단일 대화 중심이라 여러 스레드로 맥락을 관리하고 싶다고 의견을 물었습니다.

좋아요 106리포스트 1답글 62노출 15K북마크 20

Now that we've had a few days with it, how are people differentiating between Dot and regular ChatGPT? I'm having trouble deciding when I should prompt Dot vs using ChatGPT - my Dot seems to afford a single conversation, but I like controlling my context across multiple threads

34위Yann LeCun@ylecunX에서 보기

얀 르쿤: 2년 전 영상이 다시 돈다며 AI가 수학·코딩 등에서 초인적이어도 레벨 5 자율주행처럼 인간 수준 AI는 아직 멀었다고 반박했습니다.

좋아요 1K리포스트 91답글 158노출 93.6K북마크 186

@haider1 님에게 보내는 답글

That video is 2 years old. Two years later, we are still far from human-level AI. Sure, AI has superhuman performance in a number of tasks (particularly in mathematics and coding and answering questions with known answers). But where is my Level-5 self-driving car? (Before you ask, Tesla FSD is rated Level 2, Waymo is Level 4). Where is the self-driving car that can teach itself to drive in 20 hours of practice like any 17 year old? (Before you ask, we have billions of hours of training data and still can't successfully train a self-driving system by imitation learning) Where is my domestic robot? Where is the robot that can do what any 8 year-old child can do? Where is the robot that can learn a new task as quickly as an 8 year old? AI still has a hard time with the complexity and messiness of the physical world.

35위TypeSafe AI@typesafeaiX에서 보기

Typesafe AI: 그냥 확신보다 보정된 확신이 더 낫다며 자사의 신뢰도 계산 방식을 공개했다고 알렸습니다.

좋아요 485리포스트 16답글 19노출 44K북마크 87

36위Paul Graham@paulgX에서 보기

[잡담/주제외] 폴 그레이엄: 자신의 에세이를 모두 인쇄한 사람을 만났는데 백과사전 두 권 분량이라 놀랐다고 전했습니다.

좋아요 421리포스트 3답글 63노출 41K북마크 61

I recently met someone who'd printed out all my essays. I'd never seen this before and I was surprised how big they were, like two encyclopedia volumes (for anyone who even knows what an encyclopedia volume is).

37위Richard Morris@ahistoryinartX에서 보기

[잡담/주제외] 화가 프랭크 에마뉴엘의 1912년작 '켄싱턴 인테리어'를 소개한 미술사 게시물입니다.

좋아요 681리포스트 87답글 11노출 18K북마크 65

38위Paul Graham@paulgX에서 보기

[잡담/주제외] 폴 그레이엄: 웃음소리 '하'의 개수와 음높이로 진짜 재미를 표시하는 친구의 습관을 소개했습니다.

좋아요 109리포스트 1답글 43노출 30K북마크 7

A friend of mine acknowledges that something is meant to be funny by laughing with 5 has: hahahahaha. Then if he actually found it funny he shifts to a higher pitch on the 6th ha and emits several more verses of has.

39위Uncle Bob Martin@unclebobmartinX에서 보기

[정치] 엉클 밥: 두바이 항공기 납치가 이스라엘 공작이라는 음모론을 조롱하는 풍자 글입니다.

좋아요 186리포스트 5답글 22노출 9.9K북마크 11

(Sometime, somewhere, in the wet dreams of racists) I know. I know. We'll fake a hijacking! We'll blame it on Iran. That'll justify anything we want to do. Because, you know, we're really good as psi ops. OK, how about this idea. We'll recruit a Mossad agent who is also an Indian pilot, and we'll equip him with squibs so that blood spurts out all over everybody who touches him. That'll look good on camera. Then we'll recruit a Mossad Omani co-pilot to fake an attack on the Mossad Indian pilot with the axe in the cockpit. Then we'll fake a 14,000 foot dive by hacking in to all the air traffic control radars and the ADSB reporting systems. We'll recruit a Mossad specialist to climb outside the aircraft, while in flight, to blow off a chunk of the rudder, simulating the aerodynamic stresses of a near Mach 1 dive. We'll recruit 178 Mossad agent men, women, and children, including a Mossad agent backup flight crew, and a Mossad agent flight instructor to all testify that the plane was hijacked and they all suffered a terrible dive. Yeah, that's the ticket. It'll work. Because, you know, we're good a psi ops.

40위Uncle Bob Martin@unclebobmartinX에서 보기

[잡담/주제외] 엉클 밥: 사이버트럭을 1년 반 동안 약 3만 마일 탔고 98% 이상을 FSD로 주행했으며 마일당 6센트 비용이라고 극찬했습니다.

좋아요 559리포스트 14답글 38노출 22K북마크 32

I've owned my cybertruck for nearly a year and a half. It is the safest best vehicle I have ever owned, and likely the safest and best vehicle on the road. It drives me everywhere. I've ridden nearly 30,000 miles and over 98% has been FSD. It costs me $0.06/mile to drive if I charge at home. No oil changes. I've rotated the tires twice for $60.

41위Kenneth Roth@KenRothX에서 보기

[정치] 케네스 로스: 푸틴이 우크라이나 종전 조건을 완화받으려 트럼프 측근들에게 러시아 에너지 자산 거래를 제안했다는 NYT 보도를 공유했습니다.

좋아요 54리포스트 23답글 4노출 8.4K북마크 3

42위Brian Chesky@bcheskyX에서 보기

[정치] 브라이언 체스키: 스페인 주택난에 대한 호세 안드레스의 글을 인용하며 어디서든 주택을 더 지어야 한다고 말했습니다.

좋아요 594리포스트 36답글 28노출 48.7K북마크 31

Well said. Build more housing. Everywhere.
Chef José Andrés 🕊️🥘🍳@chefjoseandres
Increíble de ver a los “expertos” en solventar la emergencia de vivienda que vive España! En cada televisión! @telediario_tve @A3Noticias @tele5_noticias @noticias_cuatro La realidad es que tenemos a políticos que intentan crear decretos y soluciones cuando no tienen la preparación ni el conocimiento para idear una solución real al problema que vivimos. España no tiene un problema de falta de decretos. Tiene un problema de falta de viviendas. Y mientras el Gobierno siga confundiendo anunciar medidas con resolver problemas, seguiremos pagando las consecuencias de su inacción. Subvencionar la demanda sin aumentar la oferta presiona los precios. Regular cada vez más un mercado sin construir vivienda nueva no elimina la escasez: la administra. Castigar fiscalmente una modalidad de alquiler puede cambiar incentivos, pero tampoco pone un solo ladrillo. El Gobierno puede aprobar todas las medidas que quiera y venderlas como grandes soluciones. Puede encadenar decretos, anuncios y campañas de propaganda. Pero hay una pregunta que desmonta cualquier discurso: ¿Cuántas viviendas nuevas crea todo esto? Porque la vivienda no se abarata repartiendo la escasez. Se abarata acabando con ella. España necesita construir. Mucho. Más suelo disponible. Licencias en meses, no en años. Más densidad donde sea posible. Seguridad jurídica. Muchísima más vivienda pública y también privada. Pero el Gobierno no está haciendo lo necesario. Prefiere intervenir sobre las pocas viviendas que existen antes que crear las condiciones para que haya muchas más. Prefiere presentar parches como soluciones y cargar sobre propietarios, promotores y ciudadanos el coste de su fracaso. Lo demás puede servir para redistribuir, proteger a determinados colectivos o cambiar incentivos. Pero no confundamos eso con solucionar el problema de fondo. No se arregla una falta de vivienda repartiendo mejor las pocas casas que existen. Se arregla haciendo que existan muchas más. Menos propaganda. Menos parches. Menos obsesión por intervenir sobre el mismo piso. Más oferta. Más construcción. Más casas.

43위Uncle Bob Martin@unclebobmartinX에서 보기

엉클 밥: 요즘 뉴스를 Grok으로 접하며 헤드라인을 깊이 파고들어 설명을 듣는다며 미묘한 맥락까지 볼 수 있다고 했습니다.

좋아요 231리포스트 0답글 23노출 10.5K북마크 9

44위America First Legal@America1stLegalX에서 보기

[정치] America First Legal이 바이든 정부 FBI가 학교 이사회 학부모 대응을 백악관과 조율했다고 주장하는 영상을 홍보했습니다.

좋아요 213리포스트 89답글 5노출 9.6K북마크 7

45위Uncle Bob Martin@unclebobmartinX에서 보기

[정치] 엉클 밥: 프랑스 학교 시위가 정부 재정 긴축에 반대하는 좌파의 선동 때문이라며 Grok에 설명을 요청했습니다.

좋아요 394리포스트 5답글 25노출 29.9K북마크 9

46위Uncle Bob Martin@unclebobmartinX에서 보기

[정치] 엉클 밥: 오늘 인종차별적 반유대주의자들을 많이 차단했다고 밝혔습니다.

좋아요 739리포스트 4답글 44노출 26K북마크 5

47위TypeSafe AI@typesafeaiX에서 보기

Typesafe AI가 확률과 다른 '신뢰도' 개념과 이를 시스템 동작 제어에 쓰는 법을 설명한 문서 링크를 덧붙였습니다.

좋아요 18리포스트 2답글 0노출 6.9K북마크 30

49위Julia Kempe@KempeLabX에서 보기

켐페 랩: 아스펜 물리 월드 모델링 워크숍 참가 신청은 10월 15일까지 아스펜 물리학 센터(ACP) 계정으로 받는다고 안내했습니다.

좋아요 23리포스트 3답글 0노출 8.7K북마크 8

World Modeling for Physics Workshop in Aspen: To clarify: Applications to participate (deadline Oct 15) go through the Aspen Center for Physics Log in or create an account with ACP, then apply.
aspenphys.orgWinter Conferences - Aspen Center for Physics
Shirley Ho@cosmo_shirley
"The world is predictable in the right coordinates. The open question is whether a model can learn those coordinates on its own." World model for Physics conference in Aspen coming winter 2027! Application deadline October 5 ! organized by @randall_balestr @KempeLab @ylecun and me 😀

50위A24@A24X에서 보기

[광고] A24가 엘리자베스 홈스가 출연하는 네이선 필더 다큐멘터리 'YOU CAN SEE EVERYTHING'의 10월 16일 개봉을 홍보했습니다.

좋아요 26리포스트 0답글 0노출 73K북마크 5

51위The Times of Central Asia@thetimesocaX에서 보기

[정치] 카자흐스탄 토카예프 대통령이 국제 AI 대화의 출발점으로 '워싱턴 모델'을 제안하고 국가 AI 위원회에 권고안 마련을 맡겼다는 보도입니다.

좋아요 16리포스트 1답글 1노출 5.4K북마크 1

52위BrendanEich@BrendanEichX에서 보기

브렌던 아이크: Brave 추천 사이트의 제휴 추천 코드 문제는 발견 즉시 고친 버그일 뿐 '링크 주입' 같은 의도된 수법이 아니었다고 해명했습니다.

좋아요 16리포스트 1답글 1노출 1.4K북마크 1

53위DHH@dhhX에서 보기

[정치] DHH: 국가의 무력과 절제에 대한 자신의 주장을 Grok이 홉스와 연결해 잘 설명했다고 공유했습니다.

좋아요 98리포스트 0답글 4노출 17.1K북마크 6

@dhh 님에게 보내는 답글

Grok links this beautifully:
Grok@grok
The parallel holds tightly. Just as an individual without real capacity for force has no genuine virtue in restraint, a polity without credible means of enforcement leaves peace to chance or predation. Hobbes put it cleanly: covenants without the sword are but words. The enduring challenge is designing institutions formidable enough to deter disorder yet structured—via limits, accountability, and separation—to keep that power sheathed most of the time.

54위BrendanEich@BrendanEichX에서 보기

브렌던 아이크: Brave가 크리에이터의 BAT를 훔쳤다는 주장도 사실이 아니라고 반박하며 관련 링크를 덧붙였습니다.

좋아요 17리포스트 0답글 2노출 1.2K북마크 1

55위Dustin Olson@DustinOlsonX에서 보기

[정치] 더스틴 올슨: 뉴스맥스에 출연해 텍사스 상원 선거를 논쟁했으며, 공화당이 의석을 지키겠지만 그 비용이 다른 경합지에 부담이 된다고 말했습니다.

좋아요 5리포스트 0답글 1노출 638북마크 0

Don’t just ask who wins Texas. Ask what defending Texas costs everywhere else. I joined @RobAstorino, one of my favorite @NEWSMAX hosts, for Saturday Agenda to debate the Texas Senate race with my friend, former Councilwoman Aditi Bussells. I still expect @KenPaxtonTX to keep the seat in Republican hands. But every dollar Republicans spend defending Texas is a dollar they can’t spend in another competitive race. Democrats don’t have to win Texas to benefit from forcing Republicans to spend down their money advantage defending it. @aditisrivastav and I see @jamestalarico very differently. I think he’s creepy and cringe, but we can still have a good-natured disagreement. Enjoy seeing a Republican and a Democrat get along for a change? Check out my Political Trade Secrets (@PolTradeSecrets) episode with Aditi. Link in the comments. Thanks to Rob and the NEWSMAX family for having us. Tune back in to NEWSMAX tomorrow, Noon–2 PM ET, for more of my analysis on Sunday Agenda with the talented @LidiaNews Curanaj.

56위Howard Zhong@howardzh01X에서 보기

[광고] 대상 고객을 알려 주면 회사 조사·의사결정자 탐색·리드 보강·시트 업데이트까지 하는 영업용 AI 브라우저 Polar를 홍보했습니다.

좋아요 4리포스트 0답글 0노출 11.7K북마크 4

57위Simon Willison@simonwX에서 보기

[잡담/주제외] 사이먼 윌리슨: 브루클린 프로스펙트 파크 근처 지하철역의 공룡 편의점을 가 보라고 토르스텐 볼에게 추천했습니다.

좋아요 4리포스트 0답글 0노출 3.1K북마크 2

58위Biotech Explained@ExplainbiotechX에서 보기

[잡담/주제외] 비만 치료제 GLP-1(세마글루타이드 등)의 부작용에 대해 현재까지 알려진 내용을 의사가 정리한 글입니다.

좋아요 6리포스트 0답글 0노출 6.3K북마크 2

Obesity medications: what do we really know about their side effects? Following yesterday’s post on obesity medications, I thought it was important to look at the other side of the picture: What do we really know about their potential side effects? In my daily practice, both in the clinic and in hospital, more and more patients are asking me about GLP-1-based treatments for weight loss. Where I practice, in Europe, this is still a relatively new conversation. Just a few months ago, almost nobody was asking me about them. Today, the subject comes up regularly. And one question almost always follows: “What are the risks?” It is a perfectly legitimate question — and an essential one. These treatments can produce substantial weight loss, with demonstrated metabolic and cardiovascular benefits in certain patient populations. But they are also being used by millions of people, sometimes with the expectation of continuing treatment for years. Safety therefore matters as much as efficacy. This article mainly covers GLP-1-based treatments, particularly semaglutide, as well as tirzepatide, which acts on two receptors: GIP and GLP-1. Other obesity medications and experimental molecules may have different safety profiles. Two important distinctions need to be made from the outset. An event occurring during treatment is not necessarily caused by that treatment. But when a causal link exists, it can be direct or indirect. Some complications may be directly related to the drug’s pharmacology. Others may result from dehydration, rapid metabolic changes or substantial weight loss. An indirect complication can still be an adverse effect of treatment. Understanding its mechanism helps us prevent it. It does not make it any less real. 1. The most obvious: gastrointestinal side effects Let us start with what we know best. Nausea, vomiting, diarrhea, constipation, abdominal pain, reflux and indigestion are by far the most common adverse effects. With injectable semaglutide at 2.4 mg, the trials pooled in the prescribing information report nausea in approximately 44% of participants, diarrhea in 30%, vomiting in 24% and constipation in 24%. With tirzepatide, depending on the dose, nausea affects approximately 25–29% of participants, diarrhea 19–23%, vomiting 8–13% and constipation 11–17%. These figures come from separate trials. They do not, on their own, provide a direct comparison between the two medications. They may look high. But an important qualification is needed: most of these effects are mild to moderate, occur mainly during dose escalation and tend to decrease over time. This is one reason why gradually increasing the dose matters. However, “usually mild to moderate” does not mean “always easy to tolerate.” In SELECT, a large cardiovascular trial of semaglutide, adverse events led to permanent treatment discontinuation in 16.6% of participants versus 8.2% with placebo. Gastrointestinal disorders accounted for discontinuations in 10% versus 2%. These rates reflect the population and duration of that particular trial. Tolerability is also measured by whether patients can continue treatment. 2. Gallstones and gallbladder disease: the risk is real This is one of the best-established safety signals. A large meta-analysis of 76 randomized trials found an approximately 37% relative increase in the risk of gallbladder or biliary disease with GLP-1 receptor agonists. The average absolute increase corresponded to approximately 27 additional events per 10,000 people treated for one year. The association was stronger in weight-loss trials, at higher doses and with longer treatment duration. This absolute risk is an average across different populations. It does not represent the exact risk for every patient. Part of the risk may be directly related to the medication, because GLP-1 receptor agonists can affect gallbladder motility. But rapid weight loss is itself a known risk factor for gallstones, including when no medication is involved. It is therefore difficult to separate the pharmacological effect completely from the effect of weight loss. Both deserve consideration. 3. Pancreatitis: rare, potentially serious and difficult to quantify Pancreatitis is one of the most widely discussed potential complications of these treatments. It needs to be taken seriously. Severe, persistent abdominal pain, sometimes radiating to the back, should not automatically be attributed to the usual gastrointestinal side effects. What do the trials show? A meta-analysis of 21 trials involving 34,721 participants found no statistically significant increase in the risk of acute pancreatitis with semaglutide compared with placebo. In SELECT, confirmed acute pancreatitis occurred in approximately 0.2% of participants receiving semaglutide versus 0.3% receiving placebo. These findings are reassuring regarding the magnitude of the risk observed in those populations. But events remain rare, and trials cannot cover every situation encountered in clinical practice. There is also an important regulatory development: In January 2026, the UK MHRA strengthened warnings about severe pancreatitis with GLP-1 and dual GIP/GLP-1 receptor agonists, including rare cases of necrotizing and fatal pancreatitis. It recommends stopping treatment if pancreatitis is suspected and not restarting it if the diagnosis is confirmed. I would summarize it this way: Randomized data do not consistently show an increased risk, but pancreatitis remains a recognized and potentially serious adverse effect. Reassuring trial findings do not remove the need for vigilance when a patient develops symptoms. 4. Gastroparesis and intestinal obstruction: what do we actually know? We need to distinguish a pharmacological mechanism from a disease. GLP-1-based treatments slow gastric emptying. But slower stomach emptying does not automatically mean that a patient has gastroparesis. Gastroparesis is a clinical disorder involving symptoms and delayed gastric emptying in the absence of a mechanical blockage. Cases of gastroparesis, ileus and intestinal obstruction have been reported with these treatments. Some observational studies have also raised concerns. However, the findings are not consistent. A meta-analysis of 55 randomized trials involving 106,395 participants mainly found an increase in gallstones and probably reflux, without a clear increase in most of the other gastrointestinal complications studied. That does not mean these complications can never occur. Rare events can be difficult to detect, and trials do not include every situation encountered in practice. Severe or persistent gastrointestinal symptoms therefore deserve assessment. Delayed gastric emptying also has an important practical consequence: Anesthesia. Pulmonary aspiration has been reported in patients receiving these treatments during general anesthesia or deep sedation. Patients should therefore tell the anesthesia team about their treatment before a procedure. The appropriate approach depends on the clinical situation and the protocol being followed. 5. Kidney injury: often an indirect effect These medications are generally not considered directly toxic to the kidneys. The mechanism is often much simpler: Vomiting or diarrhea + reduced fluid intake → dehydration → acute kidney injury. The prescribing information describes this mechanism and recommends monitoring kidney function when symptoms could cause dehydration. This is often a complication of gastrointestinal side effects rather than direct kidney toxicity. It can nevertheless still be a treatment-related complication. The priority is to identify vulnerable patients and avoid dismissing prolonged vomiting or an inability to drink enough fluids. 6. The eyes: two different issues We need to distinguish diabetic retinopathy from NAION. Diabetic retinopathy A rapid improvement in blood glucose control can temporarily worsen pre-existing retinopathy. This phenomenon was known long before GLP-1 medications became available. It is particularly relevant in people with diabetes who already have retinal disease. Retinopathy complications were more frequent with semaglutide in some trials, particularly in patients with known retinopathy. This warrants attention to the patient’s eye history and the speed of glycemic improvement. NAION There is another, different issue: Non-arteritic anterior ischemic optic neuropathy. This is an injury to the optic nerve that can cause vision loss. After reviewing clinical trials, pharmacovigilance reports and epidemiological studies, the EMA concluded in 2025 that NAION should be considered a very rare adverse effect of semaglutide. The regulatory category “very rare” corresponds to a frequency of up to one person in 10,000. Epidemiological studies in adults with diabetes also suggest an approximately twofold relative risk, corresponding to roughly one additional case per 10,000 person-years of treatment. This second figure describes an annual excess risk, not the total risk over the entire treatment period. It does not mean that this risk has been established for every obesity medication. The practical message matters: Sudden vision loss or rapidly worsening eyesight requires assessment without delay. If NAION is confirmed, the EMA recommends stopping semaglutide. 7. Losing weight does not mean losing only fat This is where the subject becomes particularly interesting. New generations of obesity medications can produce substantial weight loss. But when someone loses a large amount of weight, not all of that weight is fat. In a STEP-1 substudy using DXA, semaglutide reduced fat mass, but also lean mass. Nevertheless, lean mass represented a greater proportion of total body weight afterward, because the reduction in fat was larger. With tirzepatide, a SURMOUNT-1 DXA substudy involving 160 participants found that approximately: 75% of the weight lost was fat mass and 25% was lean mass. A similar distribution was observed with placebo. It therefore does not suggest a preferential loss of lean mass specific to tirzepatide. But we need to avoid a common misunderstanding: Lean mass and muscle mass are not interchangeable terms. Lean mass includes muscle, organs and water, among other components. A reduction measured by DXA does not, on its own, establish pathological muscle wasting, sarcopenia or loss of strength. It does not mean tirzepatide “destroys muscle.” Some lean mass loss usually accompanies substantial weight loss, including without medication. But when total weight loss becomes very large, the absolute amount of lean tissue lost can also become significant. This question therefore deserves attention beyond the number on the scale. The field is beginning to move from a simple question: “How much weight did the patient lose?” to another: “What did the patient actually lose?” The COURAGE example Regeneron’s experimental COURAGE trial explores combining semaglutide with trevogrumab, an antibody that blocks myostatin. In an MRI substudy, adding trevogrumab reduced thigh muscle-volume loss by approximately 70% at 52 weeks, compared with semaglutide alone, among participants with evaluable data. This result concerns a specific muscle measurement. It does not mean that 70% of all lean mass otherwise lost throughout the body was preserved. Nor does it demonstrate, on its own, an improvement in strength or mobility. It does not establish that semaglutide causes pathological muscle wasting. It mainly shows that the quality of weight loss is becoming a therapeutic question in its own right. We talk a lot about the percentage displayed on the scale. But we also need to understand the composition of that loss and its consequences for the patient’s physical function. 8. Substantial weight loss can also affect nerves This is a much less familiar complication. The common fibular nerve — also called the common peroneal nerve — runs close to the surface on the outer side of the knee, near the head of the fibula. The surrounding tissues provide some protection. After substantial weight loss, that protection can decrease. The nerve may then become more vulnerable to compression. This can cause ankle weakness or even foot drop with a steppage gait. There is an old term for this phenomenon: “Slimmer’s palsy.” A Mayo Clinic case-control study published in Neurology in 2025 found an association between GLP-1 use and common fibular neuropathy, with an odds ratio of 1.3. Among the affected patients, median weight loss was approximately 15.7%. The authors highlighted the likely contribution of weight loss and nerve compression. This was an observational study. It does not establish causation or directly estimate the absolute risk for a patient receiving treatment. But it illustrates an important distinction: A complication can result from the consequences of weight loss rather than direct toxicity to the nerve. If treatment contributes to that weight loss, the complication can still be relevant to its safety profile. 9. Hair loss This is another issue some patients report. Hair loss appears in clinical trials: approximately 3% with injectable Wegovy at 2.4 mg and 4–5% with Zepbound, compared with approximately 1% with placebo. These figures reflect the populations and doses studied. Substantial weight loss, nutritional changes and the associated physiological stress can contribute to telogen effluvium, a form of diffuse hair shedding that is often temporary. This does not establish direct drug toxicity to the hair follicle. But it does not mean treatment plays no role either. Once again: We need to distinguish an event occurring during treatment, its possible causal relationship and the mechanism explaining it. 10. Thyroid cancer: a prominent warning, but relatively reassuring human data In rodents, some GLP-1 receptor agonists can cause thyroid C-cell tumors. This observation helps explain the warning in US prescribing information. But we need to be precise: The relevance of this finding to humans remains uncertain. A Scandinavian study involving 145,410 GLP-1 users, with an average follow-up of 3.9 years, found no substantial increase in overall thyroid cancer risk. That is reassuring. But it cannot exclude a very small long-term risk or definitively resolve the question of a rare cancer such as medullary thyroid carcinoma. The practical precaution also needs to be stated: US prescribing information for semaglutide and tirzepatide includes a contraindication in people with a personal or family history of medullary thyroid carcinoma or multiple endocrine neoplasia type 2 — MEN2. This does not mean every thyroid condition is a contraindication. Can we exclude a very small risk emerging after fifteen or twenty years? No. But these treatments have not been demonstrated to cause thyroid cancer in humans. Long-term follow-up remains necessary. 11. Suicidal thoughts, mood and the relationship with food This is an example of how a pharmacovigilance signal should be handled. Reports of suicidal thoughts prompted investigations by health authorities. After a comprehensive evaluation, the FDA did not identify an increased risk of suicidal thoughts or behavior with GLP-1 medications. On January 13, 2026, it requested removal of this warning from the US prescribing information for Saxenda, Wegovy and Zepbound. Its analysis included 91 placebo-controlled trials involving more than 107,000 participants, with no increased risk identified for suicidal events or the other psychiatric adverse events assessed. The signal was investigated and was not confirmed by that evaluation. But there may be another dimension, more subtle and much harder to measure in a clinical trial. A patient recently told me something that stayed with me. Eating had always been one of the great pleasures of his life. Since starting treatment, his desire to eat had decreased considerably — which was, of course, the intended effect. But he also felt that he had lost an important source of everyday pleasure. And he thought it had affected his mood. This anecdote does not establish anything scientifically. It does not mean the medication directly caused depression. Nor does it allow us to identify the mechanism of that change with certainty. But it reminds us that eating is not only a metabolic need. For many people, it is also a source of pleasure, comfort, rituals and social connection. A profound change in appetite can therefore transform part of everyday life. For some people, that transformation can be liberating. For others, it may require adjustment. It may be useful to distinguish a possible direct pharmacological effect on mood from the psychological consequences of a profound change in someone’s relationship with food. The absence of an increased psychiatric risk at the population level does not remove the need to listen to an individual patient’s experience. A persistent change in mood deserves assessment, whatever its cause. 12. Important precautions not to overlook The risks are not limited to the complications discussed above. Hypoglycemia The risk is particularly important when these treatments are combined with insulin or sulfonylureas. It is not strictly zero in other situations, but the accompanying treatment substantially changes its importance. Pregnancy and pregnancy planning These medications are not intended to be used for weight loss during pregnancy. Pregnancy planning requires advance discussion. The recommended interval between stopping treatment and a planned pregnancy is two months for semaglutide and at least one month for tirzepatide. Oral contraception with tirzepatide Delayed gastric emptying can affect the absorption of orally administered medications. US prescribing information recommends non-oral contraception or an additional barrier method for four weeks after starting tirzepatide and after each dose increase. Regulatory recommendations differ between countries: the European product information reviewed does not give the same instruction. The locally applicable prescribing information should therefore be followed. These situations help explain why treatment selection needs to consider other medications, medical history and the patient’s circumstances. 13. What about side effects we have not discovered yet? This is probably the hardest question. And the correct answer is: We cannot know everything yet. Millions of people are receiving these treatments, often at higher doses and for obesity rather than diabetes. Broader and longer use may reveal rare risks that the initial trials did not detect. But this uncertainty does not mean these treatments have been poorly studied. Semaglutide has large randomized trials extending over several years. SELECT included 17,604 people with established cardiovascular disease and overweight or obesity, without diabetes, with an average follow-up of approximately 3.3 years. Its safety analysis identified no new major safety signal in that population, while confirming more discontinuations due to gastrointestinal effects and certain gallbladder events. However, inclusion and exclusion criteria limit how broadly the findings can be applied to every clinical situation. Tirzepatide also has data extending to 176 weeks, more than three years, in the SURMOUNT-1 subgroup with obesity and prediabetes, with no new safety signal identified. That is reassuring. But: Three or four years are not twenty years. And the next generations — triple agonists, amylin combinations, muscle-preserving treatments and other new molecules — will need to establish their own safety profiles. They cannot simply inherit those of semaglutide or tirzepatide. Key takeaways The reality of side effects is nuanced. There are very common adverse effects, mainly gastrointestinal, often temporary but sometimes troublesome enough to cause treatment discontinuation. There are less frequent but well-established risks, particularly gallbladder disease. There are complications requiring real vigilance: pancreatitis, dehydration with acute kidney injury, severe gastrointestinal problems and, for semaglutide, NAION. There are widely publicized signals that were not confirmed by the evaluations cited, particularly suicidal risk and thyroid cancer in humans, while acknowledging the limits of follow-up. And we are beginning to study the consequences of substantial weight loss more closely: body composition, nutrition, physical function and compression of certain nerves. An indirect mechanism can still be part of a treatment’s adverse effects. As medications become capable of producing greater weight loss, the question cannot be limited to: “How many pounds or kilograms?” We also need to ask: “With what tolerability, what consequences and what lasting benefit for this patient?” The goal should not simply be to achieve the largest possible number on the scale. It should be to achieve meaningful, sustainable weight loss while preserving the patient’s health and physical function. Losing weight matters. How that weight is lost, and whether patients can live with the treatment over the long term, matter too.

59위Marino Petriccione@creationloopceoX에서 보기

[광고] 데이터 업체들의 정확도 주장을 실제 리드 성과로 검증하고 Salesforce 리드 변경 이력을 기록하는 LeadReceipts를 홍보했습니다.

좋아요 4리포스트 0답글 0노출 5.3K북마크 1

Every data vendor says they're 95% accurate. But nobody can prove it. I spent six years in B2B GTM data, and one consistent theme is that they all run their own evals, and the enterprise struggles to evaluate the vendors accurately. So I built the check that shows which vendor's data actually worked on your leads. We don't sell data. We prove which data works. DMs open.
leadreceipts.aiLeadReceipts. Why did this lead change? Who approved it? What did it cost?

60위Simon Willison@simonwX에서 보기

[잡담/주제외] 사이먼 윌리슨: 토르스텐 볼에게 흙으로 가득 찬 소호의 설치미술 'New York Earth Room'도 추천했습니다.

좋아요 5리포스트 0답글 2노출 3.7K북마크 1

61위ambi@hello_ambiX에서 보기

[광고] '지능은 보편화되지만 무엇을 할지 아는 것은 희소하다'는 문구로 AI 제품 브랜드를 홍보했습니다.

좋아요 5리포스트 0답글 0노출 24.1K북마크 1

Intelligence is becoming universal. More tools carry it every day. Soon, more of the objects around us will too. What stays scarce is knowing what is worth doing with it. Which call to make. Which thread to drop. Which question is actually yours. That part stays with you. Everything around it is what we carry.

62위HEAVYS@heavysaudioX에서 보기

[광고] Heavys가 Banzoin 협업 헤드폰과 교체용 쉘 한정 판매를 홍보했습니다.

좋아요 8리포스트 0답글 0노출 58.1K북마크 1

ATTENTION HAKKITO 🗣️ DON'T FORGET TO BUY YOUR HEAVYS HEADPHONES AND BANZOIN HAKKA SHELLS NOW AND YES, YOU CAN BUY THE SHELLS SEPARATELY WE HAVE LIMITED STOCK! DON'T MISS OUT ON BUYING THIS AMAZING COLLABORATION GET THEM HERE ->

64위Malibu Aminos@MalibuAminosX에서 보기

[광고] 연구용 아미노산·펩타이드 제품의 분석 증명서를 내세운 판매 홍보입니다.

좋아요 3리포스트 0답글 0노출 28.2K북마크 0

66위WireDrop@wiredropcoX에서 보기

[광고] 팔로워 질문에 유료 음성 답변을 판매하는 크리에이터 서비스를 홍보했습니다.

좋아요 1리포스트 1답글 0노출 13.6K북마크 0

67위Matt Hunter@MattHunterCoachX에서 보기

[광고] 인텔 CEO·줌 창업자 등의 추천사를 내세운 리더십 책을 홍보했습니다.

좋아요 3리포스트 0답글 0노출 2K북마크 0

When we started writing, I wondered whether the argument would land with people who've operated at the highest levels. Then the endorsements came in. The CEO of Intel.  The founder of Zoom.  The former head of HR at Apple.  The cofounder of Whole Foods.  Four leaders who have built and shaped some of the most demanding organizations on earth, all pointing at the same thing: the best leaders are both respectful and effective, and they refuse to treat that as a contradiction. That's the whole book. But now I care about what YOU think. Now that the book has been out for a week, if you can post a review on Amazon and let me know what you think, I promise to read everything there. Link below: amazon.com/Tough-Enough-G…

68위TrueProxies@trueproxiescomX에서 보기

[광고] 데이터 무제한 주거용 프록시를 시간당 4.08달러에 판매한다고 홍보했습니다.

좋아요 0리포스트 1답글 0노출 15.3K북마크 0

70위superbot@superbot_ggX에서 보기

[광고] 스케치와 작업 영상으로 Gemini·GPT-6 Astra·Opus 5.5를 오가며 Patreon 게시물을 만들어 주는 앱 Superbot을 홍보했습니다.

좋아요 1리포스트 0답글 0노출 2.4K북마크 0

71위Quirna@getquirnaX에서 보기

[광고] AI 에이전트가 x402로 결제하기 전에 정책을 확인하고 사람이 Face ID로 승인하게 하는 Quirna를 홍보했습니다.

좋아요 1리포스트 0답글 0노출 1K북마크 0

AI agents can pay for things now with x402. But should they do it without asking? Agent hits a paywall → Quirna checks your policy → a human approves with Face ID → the payment runs. Any action. Any agent. You decide.

72위X.PIN@thexpinX에서 보기

화웨이가 중국 내 Ascend AI 칩 점유율이 엔비디아를 넘었다고 주장했으며, 번스타인은 올해 화웨이 약 50%·엔비디아 8%를 전망했다는 분석 게시물입니다.

좋아요 0리포스트 0답글 0노출 3.1K북마크 0

Huawei says its Ascend AI chips have overtaken Nvidia's in China. It hasn't said by how much. Rotating chairman Eric Xu conceded at Huawei Connect last month that Nvidia's China share is hard to pin down, but said Huawei's own data puts Ascend ahead. Bernstein forecasts about 50% for Huawei and 8% for Nvidia this year. It's what Jensen Huang has warned about since export controls hit a market where, he says, Nvidia once held about 95%. Xu says the bottleneck is the process nodes available in mainland China, not chip design, so Huawei links large numbers of chips into what it calls SuperPoDs. Capacity is the other limit. Huawei can't meet demand at home, he says, so it has no plans for a full push abroad, though it's testing and shipping small volumes to several countries with "very strong demand." For scale: DeepSeek reportedly plans to deploy at least 160,000 Ascend 950DT chips at a data center in Inner Mongolia.

73위Biskey Games@BiskeyGamesX에서 보기

[광고] 보스 순서를 골라 능력을 얻는 16비트 슈팅 게임 'WINGNUT' 첫 트레일러를 홍보했습니다.

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Dr. Kraken hypnotized 8 Guardian bosses. One sea monkey pilot is going to fix that (wait what?). Here's the first trailer for WINGNUT, a 16-bit shoot-'em-up where you pick your boss order and take its power. Mega Man meets shmups and Star Fox! Follow for more updates!

74위NuTechDaddy |Samsung, Apple, Google & Tech ✝️ 🇺🇸🦅🏈@revsva21X에서 보기

[광고] 골드 브레이슬릿 손목시계 디자인을 투표로 묻는 시계 홍보 게시물입니다.

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75위Hail Yeah Trivia@HailYeahTriviaX에서 보기

[광고] 워싱턴 D.C. 미식축구 퀴즈 게임 'HAIL YEAH TRIVIA'를 홍보했습니다.

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76위Daddu | DreamIn Dev@DadduDevX에서 보기

[광고] 한 유닛의 두 가지 플레이 스타일을 묻는 게임 홍보 게시물입니다.

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77위Mesher@Mesher_X에서 보기

[광고] 판매하는 모든 것을 링크 하나로 모아 주는 무료 온라인 상점 서비스 Mesher를 홍보했습니다.

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78위srating.io@sRating_ioX에서 보기

[광고] 모든 예측 기록을 공개한다는 대학 농구·미식축구 스포츠 예측 구독 서비스를 홍보했습니다.

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Everyone in your timeline posts their wins. We post our record. Every projection we have ever made, sorted into confidence bands, graded against what actually happened. Read it before you pay us a cent. $5/mo, college hoops and CFB.

79위Whip_a_Tesla007@WTesla007X에서 보기

[광고] 단식·냉수욕·사우나·호흡 운동용 타이머 앱을 4.99달러에 판매한다고 홍보했습니다.

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80위Motiv8 Athletics@motiv8athlesticX에서 보기

[광고] 운동 기록·프로그램 관리 피트니스 앱 Motiv8을 홍보했습니다.

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81위Rogue Compounds@roguecompoundsX에서 보기

[광고] 외부 연구소 검사 성적서를 공개한다는 화학 물질 판매 업체 홍보입니다.

좋아요 0리포스트 0답글 0노출 581북마크 0

82위Talentpilot@TalentpilotAIX에서 보기

[광고] AI로 업무가 바뀌었는데 직무 기술서는 3년 전 그대로라며 채용 AI 서비스를 홍보했습니다.

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