Ece retweetledi
Ece
29 posts
Ece
@eceecobn
industrial engineering | always optimizing. never settling.
Katılım Ağustos 2025
89 Takip Edilen55 Takipçiler
Ece retweetledi
dikiz aynasına çok bakarsanız kaza yaparsınız
ؘ@lisacrf7
quando algo q tu ficava se importando nao tem mais efeito nenhum em vc
Türkçe
still feels like i’m 12💔
Complex Music@ComplexMusic
“We all kinda grew up together” 🥺 📸: Getty
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Ece retweetledi
CLAUDE IS OFFERING 13 AI COURSES & CERTIFICATES.
ALL FREE. START LEARNING NOW.
* Claude 101. Learn Claude for everyday work.
anthropic.skilljar.com/claude-101
* AI Fluency: Frameworks & Foundations.
anthropic.skilljar.com/ai-fluency-fra…
* Introduction to Agent Skills.
anthropic.skilljar.com/introduction-t…
* Building with the Claude API.
anthropic.skilljar.com/claude-with-th…
* Claude Code in Action.
anthropic.skilljar.com/claude-code-in…
* Intro to Model Context Protocol.
anthropic.skilljar.com/introduction-t…
* MCP: Advanced Topics.
anthropic.skilljar.com/model-context-…
* AI Fluency for Students.
anthropic.skilljar.com/ai-fluency-for…
* AI Fluency for Educators.
anthropic.skilljar.com/ai-fluency-for…
* Teaching AI Fluency.
anthropic.skilljar.com/teaching-ai-fl…
* AI Fluency for Nonprofits.
anthropic.skilljar.com/ai-fluency-for…
* Claude with Amazon Bedrock.
anthropic.skilljar.com/claude-in-amaz…
* Claude with Google Cloud's Vertex AI.
anthropic.skilljar.com/claude-with-go…
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süreç tasarımında bilinen şey: ne kadar iyi bir sistem kursan da deploy hızın altyapına bağlı.
günler içinde launch demek ciddi bir fark.
Claude@claudeai
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.
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The curve speaks for itself.Not just growth. Convergence.Anthropic is optimizing faster than anyone predicted.
Ara Kharazian@arakharazian
NEW: Ramp AI Index out today with FT @tryramp - Anthropic will surpass OpenAI in adoption within a month or so - Businesses shrugged off the DoD security designation
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@RealBenjizo b. Nothing
empty string is falsy in Python, so not mydict["age"] evaluates to True
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Python Question:
What is the output of this code and why?
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@bettercalltonny altyapı hazır olunca fark hissediliyor. mail ve rapor özetleme artık ayrı bir efor gerektirmiyor. izole çalışan AI ile entegre çalışan AI arasındaki fark tam da bu.
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oyunu gerçekten değiştiren bir hamle...
claude artık tam olarak iş akışının tam ortasına oturan bir asistan haline geliyor. outlook maillerini okuyabiliyor, onedrive dosyalarını çekebiliyor, sharepoint belgelerini anlayabiliyor. bunun ne anlama geldiğini biliyor musun? sabah gelen 47 maili özetletip önceliklendirmek,
bir toplantı öncesi sharepointteki 30 sayfalık raporu 2 dakikada analiz ettirmek, onedrivedaki excel dosyasını çekip üstüne strateji yazdırmak gibi gibi.. ve en önemli kısım bu tüm planlarda açık şu an. yani ücretsiz kullanıcı bile microsoft 365 verilerini claudea bağlayabiliyor. şu ana kadar ai araçlarının en büyük sorunu izole çalışmalarıydı. harika cevaplar veriyorlardı ama senin gerçek verilerine erişimleri yoktu. bu connectorlar o duvarı yıkıyor. benim tavsiyem hemen bağlayın ve günlük iş akışınızda en çok zaman harcadığınız 3 görevi claudea devredin. verim farkını hepimiz göreceğiz.
Claude@claudeai
Microsoft 365 connectors are now available on every Claude plan. Connect Outlook, OneDrive, and SharePoint to bring your email, docs, and files into the conversation. Get started here: claude.ai/customize/conn…
Türkçe
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@RealBenjizo since y = [2, 4, 5] is provided, the condition y is None is skipped. y.extend(x) adds the elements of x = [0] to y, so the final result becomes [2, 4, 5, 0]
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Python Question:
What is the output of this code and why?
English
@_ScottMartin @RealBenjizo c is wrong because it applies the price < 500 condition to all products, not only to electronics.
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@RealBenjizo I would naturally write it as B, but I believe technically C also returns the same results.
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@MilkRoadAI AI is much further ahead than its real-world usage.we’re still very early
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Ece retweetledi
Anthropic just released the most IMPORTANT chart in the AI labor debate.
This comes from the company that builds Claude using data from 2 million real conversations.
Here’s what it shows.
The blue area is every task AI could theoretically do right now.
The red area is what people are actually using it for.
The gap between them is enormous and that gap is your career runway.
Computer programmers are already 75%
covered.
Customer service reps, data entry workers, financial analysts, they’re next.
But here’s what no one is talking about.
The mass layoffs haven’t really started.
Unemployment for exposed workers hasn’t budged.
So what’s actually happening?
Companies are closing the front door, hiring for workers aged 22 to 25 in AI exposed jobs has dropped 14%.
The most exposed workers aren’t factory workers, they’re college educated, higher earning.
49% of US jobs now have at least a quarter of their tasks inside AI’s reach.
That’s up from 36% just one year ago.
And the red area on that chart,
the real world usage is still a fraction of what’s possible.
Every month, it grows a bit.
Anthropic built the scoreboard and most people haven’t looked at it yet.
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Ece retweetledi
@PyBerryTech tuples are immutable.
when x += (4,) runs, Python creates a new tuple and assigns it to x.
y still points to the original tuple, so it stays (1, 2, 3).
English
Exactly.
Many market and industry outcomes are Pareto-inferior Nash equilibria sustained by incentives.
Price wars and margin compression are equilibrium outcomes not managerial failures.
Mustafa@oprydai
study game theory. because the world is not optimized for truth. it’s optimized for incentives. • markets • politics • startups • office dynamics • wars • dating • pricing • negotiations; all multi-agent systems with conflicting goals. game theory teaches you to stop assuming cooperation and start modeling behavior. it forces you to think in strategies, not intentions. equilibria, not outcomes. second-order effects, not surface moves. you learn why smart people do irrational things. why bad systems persist. why “winning” locally can destroy you globally. nash equilibrium. prisoner’s dilemma. signaling. mechanism design. repeated games. once you see them, you can’t unsee them. game theory doesn’t make you cynical. it makes you precise.
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Ece retweetledi
@eceecoban0 @PythonPr Is it constantly for all Phyton programs??
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