Sabitlenmiş Tweet
₩onderÐoge
5.1K posts

₩onderÐoge
@Egol_Frap
https://t.co/uvVzzsh55q Make tip's ! It's like build a better world, but in act. Donner des Dogecoins, c'est construire un monde meilleur, mais en acte.🙏
𝕏Ð Katılım Nisan 2018
905 Takip Edilen136 Takipçiler
₩onderÐoge retweetledi

Vibe coders are getting sued.
People are launching apps with real users but skipping the boring stuff that can actually kill the product.
A developer with 20+ years of experience just shared the pre-launch checklist every AI builder should run:
→ privacy policy if you collect user data
→ know where user data is stored
→ check security headers
→ scan against OWASP basics
→ look for SQL injection / XSS / auth issues
→ make sure .env values are not leaking
→ check API responses for sensitive data
→ remove secrets from logs
→ never expose API keys in frontend code
→ move keys server-side or behind a proxy
→ add rate limits before someone burns your API bill
This is what most vibe coders are missing.
AI can help you build the app.
But if you launch without security, privacy, and abuse checks...
you didn't ship a product.
you shipped a liability.

English
₩onderÐoge retweetledi

A sperm cell contains about 37.5 megabytes of information and there is about 100 million cells per milliliter.
The average ejaculation is about 2.25 milliliters and takes about 5 seconds.
This makes the average bandwidth of the human penis 1,687 terabytes per second.
I know....thats a lot of information to swallow.
English

Recruits, your first prize is here...
A custom GeForce RTX 5080 Founders Edition + PC copy of the game.
Comment #007FirstLightRTX to win 👇
English
₩onderÐoge retweetledi

🚨DID THIS STUDENT RESEARCHER JUST SOLVE SCHIZOPHRENIA?
A young woman is going viral after breaking down her research paper claiming modern psychiatry has been focusing on the wrong part of the brain for decades.
She argues schizophrenia isn’t primarily a dopamine disorder, but a “leaky thalamus” — the brain’s sensory filter — that fails to block out irrelevant information, causing the brain to hallucinate and create its own reality to fill in the gaps.
Her theory also suggests antipsychotics only mask symptoms, questions Big Pharma’s funding priorities, and even links the same mechanism to ADHD.
She questions why the thalamus has been so neglected in psychiatric research.
English
₩onderÐoge retweetledi

Activist: "Your cows are putting carbon into the atmosphere."
Farmer: "Where did they get it?"
Activist: "What?"
Farmer: "The carbon. Where did the cow get it before it put it anywhere."
Activist: "From... eating?"
Farmer: "From eating grass. And where did the grass get it."
Activist: "The soil?"
Farmer: "The air. The grass pulled it out of the air last spring. The cow ate the grass. The cow breathed some of it back out. It went back into the air it came from."
Activist: "But it's still going into the atmosphere."
Farmer: "It's going back. There's a difference between a thing going somewhere and a thing going back. You've described a circle and you're frightened of it."
Activist: "Then just don't have the cow."
Farmer: "The grass still dies in autumn. It rots where it falls. The carbon goes back into the air either way, just without anyone getting fed in the middle."
Activist: "It's not that simple."
Farmer: "It's grass, cow, breath, grass. Or it's grass, rot, air, grass. Same circle, fewer dinners. If that's complicated for you I'd stay away from the water cycle. That one's got clouds in it."

English
₩onderÐoge retweetledi

@buccocapital En fait c'est sa façon pour lui de dire que la session est pleine que ça fait plus de 20 messages qu'il faut passer nouvelle session
Français
₩onderÐoge retweetledi
₩onderÐoge retweetledi

🚨 ŞOK EDİCİ: Yeni bir araştırma, yapay zekanın artık kendi yapay zeka araştırmasını yürütebildiğini gösteriyor.
Sadece modelleri optimize etmekle kalmıyor…
aynı zamanda tamamen yeni model mimarileri de kendi başına keşfediyor.
"AlphaGo Moment for Model Architecture Discovery" başlıklı makale, ASI-Arch adlı otonom bir sistemi tanıtıyor ve bu sistem şunları yapabiliyor:
- Yeni mimari fikirler üretebiliyor
- Çalıştırılabilir kod yazabiliyor
- Deneyler yürütebiliyor
- Sonuçları otomatik olarak doğrulayabiliyor
İnsan tarafından tasarlanmış arama alanları olmadan.
Bu büyük bir değişim.
Önceki sistemler yalnızca insanların zaten tasarladığı mimariler arasında arama yapabiliyordu.
Bu sistem, insanların açıkça icat etmediği yeni tasarımlar yaratıyor.
Sonuçlar önemli:
- 1.773 otonom deney
- 20.000+ GPU saati
- Yapay zekanın kendisi tarafından keşfedilen 106 yeni, son teknoloji ürünü doğrusal dikkat mimarisi.
Araştırmacılar bu anı AlphaGo'nun ünlü "37. Hareketi" ile karşılaştırıyor:
Yapay zekanın insanların beklemediği stratejiler keşfetmesi.
Bu, yapay zekâda daha derin bir değişime doğrudan işaret ediyor:
İnsanların zekâyı tasarlamasından… yapay zekânın yeni nesil yapay zekâyı tasarlamaya yardımcı olmasına doğru.
Daha büyük etki sadece otomasyon değil, ivmelenmedir.
Eğer yapay zekâ, yapay zekâ araştırmasını kendi içinde geliştirebilirse, ilerleme artık sadece insan araştırmacılarla değil, hesaplama ve otonom deneylerle de ölçeklenebilir.
Bu, yapay zekâda yeni bir aşamaya işaret ediyor:
Yapay zekânın bir araç olmasından
yapay zekânın bilimsel bir işbirlikçi olmasına doğru
(Makale bağlantısı aşağıda)

Türkçe
₩onderÐoge retweetledi

🚨 DOCTORS JUST “SWITCHED OFF” PARKINSON’S TREMORS IN REAL TIME — AND THE BEFORE/AFTER IS UNREAL
This video is going viral… because what happens doesn’t look possible.
One moment: uncontrollable shaking.
Moments later: complete stillness.
No open surgery. No implants.
Just MR-guided focused ultrasound targeting a tiny area deep in the brain.
• Hands that couldn’t hold still… suddenly steady
• Violent tremors… gone on the spot
• Patients testing movement immediately — and it actually works
• Doctors watching it happen LIVE inside the MRI
This isn’t gradual.
It’s instant.
And now people are asking the same question:
If this exists… why does it feel like no one’s talking about it?
📹: TikTok/tremor.care
English
₩onderÐoge retweetledi
₩onderÐoge retweetledi

Microsoft Research + Salesforce has published a paper that should scare every single AI builder right now.
It’s called “LLMs Get Lost in Multi-Turn Conversation.”
And it reveals a massive, hidden performance cliff that every major model is currently falling off.
We’ve been measuring AI intelligence all wrong. We test models on single, perfectly crafted prompts. But in the real world, we use AI in conversations. We go back and forth. We clarify. We refine.
The researchers just proved that even the "smartest" models like GPT, Claude, and Gemini, are actually terrible at this.
The finding is brutal:
When an AI moves from a single prompt to a multi-turn conversation, its performance doesn't just dip.
It craters by an average of 35% to 39%.
The researchers tested 15 different models across 200,000 simulated conversations. The results were universal. As the conversation continues, the AI doesn't get smarter.
It gets lost.
The paper identifies the "Lost in Conversation" (LiC) phenomenon, and it happens for four specific reasons:
1. Premature Solutions: The AI tries to solve the problem before it has all the info.
2. False Assumptions: It fills in the gaps of what you didn't say with total hallucinations.
3. Over-reliance on Errors: Once it makes a mistake in turn 2, it clings to that mistake for the rest of the chat.
4. Context Bloat: It gets distracted by its own previous wordy responses.
In simpler terms: when an LLM takes a wrong turn, it doesn't recover. It just keeps driving deeper into the woods.
It’s a crisis for anyone building autonomous agents.
If your agent needs to ask "What did you mean by that?" or "Which file should I use?", its chances of successfully finishing the task drop from 90% to as low as 35%.
The more the AI talks, the less reliable it becomes.
We have spent three years building "conversational AI," only to find out that the conversation itself is what's breaking the AI.
The takeaway is a wake-up call for the entire industry:
Stop trusting single-turn benchmarks. They are measuring a version of the AI that doesn't exist in production.

English

@sama Direct focus, zero drift, total control for "Vibe Coding" at scale. ⚡️📂
#OpenAI #ChatGPT #VibeCoding
English

@sama Spatial Context Anchoring. 📍
When projects get massive, context gets blurry. We need a visual Project Map (Graph View) on the side. Imagine "wiring" the AI’s focus to a specific node or folder like a power cable.
English
₩onderÐoge retweetledi
₩onderÐoge retweetledi
₩onderÐoge retweetledi

As you watch this, be consciously aware of what the imagery of fresh, vibrant, and vital foodstuffs is doing to your emotions, your in-the-moment mood, and the windspace in your chest.
This Earth was made for Us. And Us for It.
Welcome to the Great Awakening.
#FromDarkToLight
English









