Berko AI

Yazılımcıyım, yapay zeka araçlarını deniyorum ve gördüğümü anlatıyorum. İşe yarayanı da, elimde patlayanı da

[Berko AI @merkoai]

Claude Code ile uçtan uca YouTube videosu nasıl yapılır? 14 dakikalık tam rehber.
Finans kanalımın videosunu 8 prompt ile ürettim. Kullandığım araçları ve yapay zekânın hatalarını nasıl yakaladığımı gösterdim.

https://t.co/inCGGx2MYC https://t.co/ZkJHYI9ISm

[Berko AI @merkoai]

@thsottiaux claude tarafında da aynısını bekleyenler burada :D

[Berko AI @merkoai]

karpathy'nin kaba hesabı: dünyanın %75'i LLM'le neredeyse hiç tanışmamış, ben timeline'da yaşıyorum diye herkes kullanıyor sanıyorum .d

[Andrej Karpathy @karpathy]

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.

- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.

The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.

So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

[Berko AI @merkoai]

google aylardır kenarda bekliyordu, 100 bin çalışan bir ay denemiş, nihayet "bitti" demişler :D hadi bakalım bekliyoruz inş şaşırtırlar bizi

[Logan Kilpatrick @OfficialLoganK]

Today we are rolling out Gemini 4 Argon globally in the Gemini API, to Pro + Ultra in Gemini App, and Ultra subs in Antigravity!

Argon is a huge step forward for Gemini, and a labor of love. This model has been battle tested by over 100,000 people at Google over the last month, with so much new innovation, ambition, and hard work baked into this release. The team has been heads down over the last 6 months working to make this possible across the stack (research, infra, safety, eng, etc).

We rolled the model out to cyber defenders as part of our fairwind program and early access customers over the last 2 weeks, it has been amazing to see and talk to folks who are now using this model daily. Seeing the models writing capability, raw knowledge and persistence for coding, paired with new features like 1M token output when the model needs to work more has gotten me even more excited about our path ahead.

This is just the start of the Gemini 4 era. As you saw with 3.5, 3.6, 3.7, and 3.8 Flash, our iteration speed with Gemini is fast : ) Now with Gemini 4 Argon to work from, I am cannot wait to see the progress continue, and most importantly see what this new model enables for the world.

This is such a special moment in the arc of technology, as millions of people everyday tackle problems they could never have thought possible before. Gemini 4 Argon was built to help you tackle the hardest problems. I have personally felt this spark with Argon and hope you do too. Onwards!!

[Berko AI @merkoai]

Tam video: https://t.co/sPPozEtgo7

[Berko AI @merkoai]

Token fiyatı ucuz diye iş ucuz olmuyor. Aynı testte Sonnet 32 dolar tuttu, Opus 27 dolar.
(Test: @AlicanKiraz0 )

[Berko AI @merkoai]

Tam video: https://t.co/JfzcSstjfC

[Berko AI @merkoai]

Tek promptla güneş sistemi yaptırdım. Söylemediğim halde Halley kuyruklu yıldızının 2061 geçişini simüle etmiş. 1,5 saat, API karşılığı yaklaşık 50 dolar.

[Berko AI @merkoai]

Aynı prompt, üç model: sapanla kule yıkma oyunu. Hepsi medium effort, tek koşu
Sonnet 5.5 10 dk (1.15 $)
Opus 5.5 20 dk (3,44 $)
GPT-6.1 Sol 33 dk (0,56 $)

[Berko AI @merkoai]

@vibeeval Bende otomasyonu hazırladım uçtan uca nasıl yaptığımı anlattım detaylı incelemek için bakabilirsiniz :)

https://t.co/jlvmck97KC

[Berko AI @merkoai]

Seslendirmede çok iyi

[sarpstar @sarpstar]

Gerçekten anlatacak hikâyeleriniz varsa, Opus 5.5 ile YouTube kanalı açmak bence şu an denemeniz gereken bir fırsat.

Hiçbir video modeline para vermeden bu filmi yapabiliyor olmak gerçekten baya keyifli bir his. Claude hayalimdeki görüntüleri kodla üretebildiği için onlarca dolar cebimde kaldı.

Ama şu an beni en çok etkileyen, yapmak istediğim filmin hissiyle onu yapma biçimimin birbirine karışması.

İnsanın içine işleyen, tekinsizliği derinlerde hissettiren bir film yapmak istiyordum. Ve içimdeki o hissi bir yapay zekânın sadece kodla görüntüye çevirebiliyor olması, filmin varoluş sancısını benim gözümde daha da katlıyor.

İyi seyirler.

[Berko AI @merkoai]

@zeynepdenbiri 😳 böyle düşünenlerin olması garip

[Berko AI @merkoai]

@Greg_TheBuilder @lydiahallie 1hour subs you can also add claude mods inside claude code bar as follows:

[Berko AI @merkoai]

@Srcanesenn @surucudev Customize edebilmek güzel tabi bende bi şans vereyim uygulamaya bayadır kullanmamıştım

[Berko AI @merkoai]

@Srcanesenn @surucudev Mods code'da da var hocam örneğin cache warm falanda ekledim yeni geldi bunlar :) videosunuda çekicem yakında

[Berko AI @merkoai]

@ErenAILab Api cok hızlı tükeniyor malesef uygulamaya bağlasanız bile 5-6 promptta bitecektir

[Berko AI @merkoai]

@Avenoxai @FornYapayZeka Bende bu mantıkla başladım :)

[Berko AI @merkoai]

@oynucaztv @Avenoxai https://t.co/94OOtSbk4z
Tavsiyemdir:)

[Berko AI @merkoai]

@lydiahallie What was default? @lydiahallie

[Berko AI @merkoai]

Claude’da Subagentlara spesifik effort level ile ayarlama özelliği geldi

[Lydia Hallie ✨ @lydiahallie]

You can now ask Claude to run subagents at a specific effort level! Make sure you're on v2.1.292+

[Berko AI @merkoai]

@sarikirmizirick @ilkerkurtel Dockerda çalıştırın enable weight false dolayısıyla ilerde güncellendikce sıkıntı cıkabilir