Este ejercicio, conocido como drenaje linfático, acelera el flujo linfático mientras aumenta la circulación sanguínea en todo el cuerpo.
Además, con un solo ejercicio activa casi todos los grupos musculares de manera efectiva.
Según muchos expertos, podría ser uno de los ejercicios más efectivos del mundo en términos de energía, circulación y movilidad… 👇
[Today’s Global AI News Highlights]
OpenAI & Anthropic IPO Race, Karpathy Joins Anthropic, Meta Cuts 8,000 Jobs, JPMorgan Expands AI Banking, Trump Delays AI Order…Etc.
https://t.co/iXlPP2B0Me
انتهت اللعبة يا جماعة.. والـ AI حطم كل القواعد وما بقاش فيه رجوع!🚨😱
رئيس شركة Google طلع في فيديو قلب السوشيال ميديا وصدم مجتمع المطورين لما قالها صريحة: "أي مطور بمفرده مع Claude يقدر دلوقتي ينافس تيم كامل من 10 مهندسين في جوجل"!
احفظ البوست ده عندك دلوقتي عشان ترجع له قبل ما تنسى.
بدل ما تضيع ساعتين من يومك على Netflix، اتفرج على الفيديو ده.. مدته 28 دقيقة بس ومجاني، وده أوضح وأقوى شرح بيشرح الـ Setup اللي بيخلي الحاضر يشتغل فعلياً:
وهو عنده حق فعلاً.. لكن 90% من المطورين اللي بيستخدموا Claude Code يومياً بيبدأوا من الصفر في كل جلسة (Session)، من غير أي سياق لبيئة العمل (Stack context)، ولا ذاكرة تفتكر اللي فات، ولا حتى قواعد سلوك تظبط طريقة الكود.
النتيجة؟ 975$ بتضيع على كل مطور كل أسبوع بالظبط.
عن تجربة: انا جربت الـ setup ده الشهر اللي فات ووفر لي أكتر من 15 ساعة أسبوعياً + توفير ضخم في الـ tokens اللي كانت بتترمي على الفاضي!
الدليل ده كنز ومفيد ليك جداً، سوندار بيتكلم عن المستقبل.. لكن الفيديو ده هيخليك تسبق الكل بالخطوات اللي جاية.
نصيحة: احفظ الفيديو وشوف الدليل حالاً عشان تشوف المستقبل رايح فين وتوقف خسارة الوقت والفلوس.
لايك وفولو واحفظ البوست عشان يوصلك كل جديد!
[Today’s Global AI News Highlights] OpenAI & Anthropic IPO Race, Karpathy Joins Anthropic, Meta Cuts 8,000 Jobs, JPMorgan Expands AI Banking, Trump Delays AI Order https://t.co/iXlPP2B0Me
Microsoft just banned its own engineers from using AI.
The tool was literally costing MORE than the humans it was supposed to replace.
They lied to you about AI adoption and now the whole narrative is blowing up:
Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it.
Engineers loved it and adoption exploded. But then the invoices arrived.
Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead.
The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much.
Uber's story is even worse...
Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April.
Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems.
Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session.
The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money.
Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote:
"For my team, the cost of compute is far beyond the costs of the employees."
This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans.
Think about what this means for the entire AI narrative.
Every CEO on every earnings call for the past two years has said the same thing:
AI will make us more efficient, reduce headcount, and cut costs.
The stock market rewarded every company that said it.
Fired workers, stock goes up. Announced AI adoption, stock goes up.
But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill.
Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools.
Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible.
Both companies are spending hundreds of billions on AI infrastructure this year alone.
And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control.
The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP.
This is the gap nobody on Wall Street is pricing in.
$725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work.
What do you think?
오늘의 글로벌 AI 주요기사 요약 (2026-05-21) https://t.co/eFwzoLKhdL
Meta, 오늘부터 전 직원 10% 인력 감축 단행
AI 중심 조직으로 전환, 7000명 AI 부서 재배치·관리층 축소
Meta는 5월 20일부터 전체 인력의 약 10%에 해당하는 대규모 감축을 시작했으며, CEO 마크 저커버그는 올해 후반 AI로 인한 추가 감축 가능성도 시사했다
오늘의 글로벌 AI 주요기사 요약 (2026-05-20) https://t.co/LGBa1C0xC3
구글, I/O 2026서 GEMINI 3.5 FLASH와 AI 에이전트 대공개
OPENAI·ANTHROPIC 추격 나선 구글, 가격·속도 경쟁력 강조
구글은 19일(현지시간) 연례 개발자 컨퍼런스 I/O 2026에서 새로운 AI 모델과 개인 AI 에이전트를 대거 공개하며 OpenAI, Anthropic과의 경쟁 구도를 재정비했다. 핵심은 Gemini 가족의 경량화 모델인 Gemini 3.5 Flash로, 최첨단 성능을 경쟁 모델 대비 절반 또는 3분의 1 가격에 제공한다고 선다르 피차이 CEO가 밝혔다.
오늘의 글로벌 AI 주요기사 요약 (2026-05-19) https://t.co/imvZmlZ40w
머스크, OPENAI 소송서 패소 — 시효 만료로 배신 주장 무산
연방법원 배심원단 “청구권 소멸” 판결, 머스크 측 항소 예고
캘리포니아 오클랜드 연방법원 배심원단은 5월 18일(월요일), 일론 머스크가 OpenAI와 샘 올트먼 CEO를 상대로 제기한 소송에서 청구가 3년 시효를 넘겼다며 기각 판결을 내렸다.
Claude 팀이 30분 이내에 AI 에이전트 만드는 방법공개
요즘 Ai 바이브 코딩을 하다보니까
이런 강의가 정말 필요했는데 찾아보니
클로드 팀이 직접 강의 한게 있어서 가져와봄
원본 24분이고 한국어로 핵심 요약해서
10분정도로 편집해봤습니다
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