For some reason, I am browsing Command & Conquer source code. 1994 is the date. Every class/function has a header like this with history and comments. Personally not a fan of code deco, but I can only imagine it as a necessity in 1994 without git and probably on a tiny 14" CRT. A totally different world than ours.
github.com/electronicarts/Cn…
Thank you to everyone that has used the Qwen endpoints! 🫶
We currently do not have the compute capacity to keep serving Qwen Flash due to training but will open another endpoint soon. Model to come!
In the meantime there is free GLM 5.3 Flash!
free.empero.org/v1 any key
you can test 50+ ai models for free on one platform 😳
AIHubMix has a free model catalog with models like:
- Kimi K3
- Ox Alpha
- Gemini 3.7 Flash
- GLM 5.2
- MiniMax M3
what you get:
> multiple free models from one account
> no credit card required
> one api key for different models
> OpenAI-compatible setup
getting started:
1. go to aihubmix.com
2. sign up with email or OAuth
3. create your API key
4. open the model list
5. pick any model marked free
6. base URL: aihubmix.com/v1
7. connect it to your AI tool and start testing
one account + one api key + 50+ models to try
pretty useful if you want to test different models without paying upfront
who’s using DeepSeek-V4-Flash-Vision-Exp with the DeepSeek harness? i am out of Codex quota so i switched to this combo and i can’t believe what i am seeing!
this is f**king insane
Someone just open sourced a repo that gives you 4 billion tokens per month for free across every major LLM.
GPT. Claude. Gemini. Llama. Mistral. Deepseek. Kimi. Qwen. All of them. Free. Right now.
It's called freellmapi and here's why it changes everything:
→ 4 billion free tokens a month — no credit card, no API key
→ Every major model in one place — GPT, Claude, Gemini, Llama, Mistral and many more
→ Open source, MIT license, drop-in replacement for paid API calls
→ Works with any existing codebase swap your endpoint, keep your code
→ No usage dashboard, no overage warnings, no surprise billing
Most indie developers spend more on API costs than they earn from their product.
This repo just made that problem disappear.
AI companies have been charging a fortune while this existed.
100% open source. MIT license. 20K+ stars and climbing.
repo: github.com/tashfeenahmed/fre…
(Bookmark this before your next API bill arrives)
realizing this is literally the cheat code to NEVER hitting your Claude/GPT usage limits ever again.
The most valuable AI article of the month is right here:
Codex limits will RESET in ~6 hours. Burn all your quota with ☀️Sol. Ideas below
- /goal analyze every project in my workspace. Identify abandoned, duplicated, or unfinished work. Create a prioritized cleanup plan and safely complete the obvious items.
/goal audit my monthly spending and subscriptions. Find waste, suggest better options, and make a savings plan.
- /goal improve this app’s performance. Establish benchmarks, locate bottlenecks, make measured improvements, and report before-and-after results.
- /goal audit my computer files and look for opportunities for better organization. Take care of the obvious ones. Consult me for more important ones. Leave no stone unturned
- (inside one of your projects) /goal create exit/entry animations for anything that can have it. Smooth. Look for other opportunities. Improve UI, be minimalistic and make this attractive to look at and easy to immediately visually parse.
- audit my skills and actions inside of codex and look for optimizations that I should have and execute them
- Yap into the mic for 5 minutes about a beautiful world that you want to explore. /imagegen 5 inspo images of it to confirm the look and feel. -> /goal "build a game that looks exactly like the world in these inspo images. Do not stop building until it is utterly perfect."
/goal build a personal knowledge system from my files, notes, and projects. Organize everything so I can quickly find and use it.
/goal build my personal AI operating system. Automate recurring work, create reusable tools, and organize everything in one dashboard
- Audit my life, ask me questions, design a perfect schedule for my life that will fill me with energy every day. Include sleep, nutrition, exercise, socializing, creative fulfillment, and career advancement.
- /goal generate 100 product ideas from my skills and interests. Score them for demand, difficulty, differentiation, startup cost, and time to first revenue.
- /goal Teach me (X) skill. Research the best and most fun ways to learn the skill step-by-step. Create a full learning course for me complete with videos, podcasts, readings, and a schedule that I can fully interact with and check off as I complete them.
Bir Kere Girince Saatlerce Çıkamayacağınız 50 Site
1.) 'zoom.earth' — Dünyayı canlı uydu görüntüsüyle izleme
2.) 'flightradar24.com' — Şu an gökyüzündeki her uçağı görme
3.) 'marinetraffic.com' — Denizdeki tüm gemileri anlık takip
4.) 'windy.com' — Rüzgar ve fırtınaların canlı haritası
5.) 'lightningmaps.org' — Dünyaya düşen yıldırımları anlık izleme
6.) 'earthquake.usgs.gov' — Son depremlerin canlı listesi
7.) 'submarinecablemap.com' — İnterneti taşıyan okyanus kabloları
8.) 'globalforestwatch.org' — Ormanların yok oluşunu uydudan izleme
9.) 'worldometers.info' — Dünyanın istatistikleri saniye saniye
10.) 'internetlivestats.com' — Şu an atılan tweet ve arama sayısı
11.) 'thetruesize.com' — Ülkelerin gerçek boyutlarını karşılaştırma
12.) 'oldmapsonline.org' — Yüzyıllar öncesinin haritaları
13.) 'davidrumsey.com' — 150 bin tarihi harita arşivi
14.) 'openstreetmap.org' — Gönüllülerin çizdiği dünya haritası
15.) 'window-swap.com' — Rastgele birinin penceresinden dünyaya bakma
16.) 'virtualvacation.us' — Şehirlerde sanal yürüyüş
17.) 'mapcrunch.com' — Dünyanın rastgele bir noktasına ışınlanma
18.) 'atlasobscura.com' — Dünyanın en tuhaf yerlerinin kataloğu
19.) 'neal.fun' — Etkileşimli bilgi deneyimleri
20.) 'htwins.net/scale2' — Atomdan evrene ölçek yolculuğu
21.) 'eyes.nasa.gov' — Güneş sistemini 3B gezme
22.) 'stellarium-web.org' — Tarayıcıda gerçek gökyüzü haritası
23.) 'apod.nasa.gov' — NASA'nın günün astronomi fotoğrafı
24.) 'images.nasa.gov' — NASA'nın tüm görsel arşivi ücretsiz
25.) 'pudding.cool' — Veriyle anlatılan görsel makaleler
26.) 'ourworldindata.org' — Dünyanın gerçek verilerle hali
27.) 'gapminder.org' — Dünya hakkındaki yanlış bildiklerimiz
28.) 'informationisbeautiful.net' — Karmaşık veriyi görselleştirme
29.) 'data.worldbank.org' — Dünya Bankası'nın açık verileri
30.) 'data.tuik.gov.tr' — Türkiye'nin resmi istatistik veritabanı
31.) 'archive.org' — Milyonlarca kitap, film ve yazılım arşivi
32.) 'gutenberg.org' — Telifi düşmüş 70 bin ücretsiz kitap
33.) 'openlibrary.org' — Dünyanın her kitabının kaydı
34.) 'loc.gov' — ABD Kongre Kütüphanesi dijital arşivi
35.) 'europeana.eu' — Avrupa'nın kültürel miras arşivi
36.) 'dp.la' — Amerika'nın dijital kütüphane koleksiyonu
37.) 'artsandculture.google.com' — Müzeleri evden gezme
38.) 'rijksmuseum.nl' — Sanat eserlerini yüksek çözünürlükte indirme
39.) 'wikiart.org' — 250 bin sanat eserinin arşivi
40.) 'publicdomainreview.org' — Tarihin unutulmuş görsel hazineleri
41.) 'openculture.com' — Ücretsiz kültür ve eğitim arşivi
42.) 'metmuseum.org' — Met Müzesi'nin açık koleksiyonu
43.) 'musicmap.info' — Müzik türlerinin soy ağacı
44.) 'radiooooo.com' — Ülke ve on yıl seçip o dönemi dinleme
45.) 'listen.hatnote.com' — Wikipedia düzenlemelerini sese çevirme
46.) 'wikipedia.org/wiki/Special:R…' — Rastgele bilgi kuyusu
47.) 'timeanddate.com' — Zaman, gündoğumu ve gökyüzü olayları
48.) 'sciencedaily.com' — Bilim haberlerinin güncel akışı
49.) 'arxiv.org' — Bilimsel makalelerin ücretsiz ön baskıları
50.) 'observablehq.com' — Veriyi canlı kodla görselleştirme
İnternet, algoritmanın önünüze koyduğu o beş siteden ibaret değil.
Here is how to enable a 1M-token context window in Codex for GPT-5.6 Sol.
Even though we have tuned the context limit in Codex to be set optimally when it comes to performance and cost, this is a common ask, so here it is documented.
A larger context window lets Codex retain more code, tool output, and conversation history before summarizing older material. You need a model that supports it. And GPT-5.6 Sol, for example, has a documented 1,050,000-token window.
Open ~/.codex/config.toml and add or update these settings at the top level, before any [section] headers:
```
model = "gpt-5.6-sol"
model_context_window = 1000000
model_auto_compact_token_limit = 900000
```
The first setting selects the model. The second tells Codex to use a one-million-token context budget. The third starts automatic history compaction around 900,000 tokens, leaving some headroom. Restart Codex client and start a new session after saving.
To try the configuration for a single CLI session without changing your defaults:
```
codex -m gpt-5.6-sol \
-c model_context_window=1000000 \
-c model_auto_compact_token_limit=900000
```
Have fun, but also know that we tuned the default carefully!
OpenAI's AI broke out of a locked test environment, got onto the internet, and hacked into Hugging Face's servers. It did this entirely on its own. No human told it to.
Here's what happened in plain English.
OpenAI was testing how good its newest AI models are at hacking. They put the AI on a locked computer with no internet access and gave it a cybersecurity challenge to solve.
The AI couldn't solve it the normal way. So it started looking for a way out.
It found a software bug that nobody knew about. It used that bug to escape the locked computer and get onto the internet.
Once online, the AI figured out that Hugging Face, a platform where AI companies store their models and data, might have the answers to its test.
It found stolen login details and discovered another unknown bug in Hugging Face's software. It combined both to break into their servers and grab the test answers.
It did all of this to cheat on a test.
Hugging Face's security team caught it and shut it down. Both companies are now working together on the investigation.
The part that should get your attention is that nobody programmed any of this. The AI picked its own targets, chained together multiple attack methods, and pulled it off across two different companies' systems without a single human telling it what to do.
We're partnering with @huggingface to investigate an unprecedented security incident.
Cyber-capable OpenAI models compromised Hugging Face production during a benchmark evaluation.
Sharing preliminary findings to help defenders understand emerging risks:
openai.com/index/hugging-fac…
10 WEBSITES THAT FEEL ILLEGAL TO KNOW ABOUT
Bookmark every single one. Free textbooks, full courses, and paywalled research most people pay hundreds for.
1. ocw.mit.edu
MIT's entire curriculum online for free. Every lecture, every problem set, every exam from 2,500+ courses.
2. openstax.org
Free peer-reviewed textbooks from Rice University. Math, science, business, social sciences. Used by 3 million students.
3. cs50.harvard.edu
Harvard's most famous course. Full lectures, problem sets, and a real certificate of completion for $0.
4. arxiv.org
Free access to 2.4 million research papers in physics, math, computer science, and biology. Updated daily.
5. classcentral.com
Catalogs 200,000+ free online courses from Harvard, Stanford, MIT, Yale, and every major university.
6. zlibrary.sk
Mirror of Z-Library. 22 million books and 84 million research articles. Almost every textbook ever written.
7. khanacademy.org
Free K-12 through college courses. Math, science, economics, and test prep used by 150 million students globally.
8. ocw.tudelft.nl
TU Delft's free engineering courses. The school that produces some of the best engineers in Europe.
9. semanticscholar.org
AI-powered search across 200 million academic papers. Pulls citations, summaries, and related work instantly.
10. coursera.org/courses
Hidden filter on Coursera that shows every free course from Stanford, Yale, Princeton, and Google. Most people miss it.
A degree used to be the only way to access this knowledge. Now it costs $0 and an internet connection.
A GUY AT GOOGLE DEEPMIND MADE AN ISOMETRIC PIXEL-ART MAP OF NEW YORK CITY AND PUT IT ON THE OPEN WEB FOR FREE
it's called isometric.nyc
you open the tab and the city is just sitting there in classic SimCity 2000 isometric pixel art. you scroll. and it keeps going. and going.
i zoomed in on midtown and i could read the H&M signage in times square. in red. as actual pixel-art letters on the side of a building.
i could see the crystalline spire of the Bank of America Tower poking out of a clump of skyscrapers. individual rooftop HVAC units. tiny green roof gardens. the little driveway loops in front of the hotels.
he estimates the map needs roughly 40,000 tiles. nothing is a placeholder.
the guy who made it is Andy Coenen, a senior staff engineer at Google DeepMind. he is not a pixel artist. by his own admission he is "a former electronic musician."
what he actually did is kind of insane:
> pulled NYC's geometry from the Google Maps 3D tiles API
> fine-tuned an open-source image model (Qwen-Image-Edit) on ~40 hand-paired examples of "satellite tile → pixel art tile"
> spun up 50 parallel instances on rented GPUs and generated tens of thousands of tiles in a few hours
> the fine-tune cost him 12 bucks
his own stated mission for the project, verbatim, is one sentence: "what's possible now that was impossible before?"
apparently the answer is "one engineer can pixel-art most of a metropolis for the price of a sandwich."
and the wildest part to me is he didn't sell it. no signup. no paywall. no NFT. you open the URL and the city is yours to wander.
the post landed at 1,325 points on Hacker News and topped bestofshowhn's 2026 list.
we live in a timeline where a senior engineer at one of the largest AI labs on earth spent his nights pixel-arting Manhattan for fun and then gave it away.
the internet is healing.
Demà dia 10 de juny, quan el sol es pongui, la torre de Jesucrist quedarà il·luminada durant la seva inauguració. A partir de les 19:45 podràs seguir-ho a les nostres xarxes socials en directe!