@TheINAOG retweeted
Ha nacido algo de pura casualidad.
Momento de apoyarse para dar visibilidad a quien construye.
@TheINAOG retweeted
We’re rolling out Gemini 4 Argon in Antigravity to paid Google AI Pro subscribers today. Demand has been incredible and we've scaled capacity deliberately to get here. We’ve rolled out a separate weekly-only Argon quota for Pro on top of the existing Gemini bucket for 3.8 Flash so you have the best of Gemini for all your tasks.
@TheINAOG retweeted
He creado PokéBonk, un survivors-like 3D de Pokémon (si, otro mas xD)
Inspirando fuertemente en Megabonk (a nivel mecánicas de mundo y sobre todo verticalidad del mundo 3D) mezcladas tematicamente con mecanicas de siempre que ofrece Pokémon.
Aquí os dejo el tráiler.
@TheINAOG retweeted
Bueno, pues hecho está, formulario de Codex Ambassador enviado!
Crucemos los dedos!🤞🤞a ver si @paw_lean me acepta dentro de los CCK (Codex Cool Kids)
Y un millón de gracias a @idir_ouhab por la ayuda!
@TheINAOG retweeted
Hey, I’m Álvaro
Software Engineer at Google
I post about AI, software, tech and whatever I find interesting
Starting fresh here and looking to meet more people in tech :)
@TheINAOG retweeted
Welcome!
If you build things with AI let's connect.
If you don't but want, let's connect to!
I shitpost, talk about tech and don't know how to use this app properly or so i've ben told! But let's have fun!
@TheINAOG retweeted
Si esto es Realmente Así.
El cambio de planes de ChatGPT, puesto en X:
ANTES
$20 Plus → 1X Astra
$200 Pro → 20X Astra
AHORA
$20 Plus → 1X Astra / ~5X Astra 6.1
$100 Pro → 5X Astra / ~25X Astra 6.1
$200 Pro → 10X Astra / ~50X Astra 6.1
Astra 6.1 cuesta ~1/5 que Astra.
Así que:
Antiguo Pro $200 → 20X
Nuevo Pro $100 + Sol → ~25X
Nuevo Pro $200 + Sol → ~50X
(si los créditos escalan proporcionalmente al coste)
I’ll explain the new Pro 200 plan differently, before I start live tweeting from DevDay on things that are going out!
Today we are going to ship a number of things that increase what you can do across the Plus and Pro plans. A lot of compute is online for this increase. As we increase the floor, we are changing the relative difference between plans to be
Plus = 1X
Pro 100 = 5X
Pro 200 = 10X
and we are reopening subscriptions for Pro 200 (we had paused it). If you have an existing plan you will keep the 20X multiplier for a bit and also receive a lot of additional credits because we know changes are hard even if it means that everyone will get more in the end.
@TheINAOG retweeted
the surprise conclusion of the machine consciousness debate will be that people are machines.
@TheINAOG retweeted
Digital trading cards for games you actually remember. This one’s Crash Bandicoot 3: Warped · PS1 · RUN 100. Google sign-in, claim a copy, it goes in your album: cromos.iaen.es/reclamar/GoDV…
@TheINAOG retweeted
Replying to @paw_lean
@paw_lean
Not fair! the web for ambassador is closed, i cant apply but i keep seeing nwe ambassadors popping up!
I can be the ambassador for the spanish (peninsula!) north community
THE NORTH REMEMBERS!
xitter.cf/nikhilsbuilds/status/2…
I’m officially joining the @OpenAI Codex Ambassador Program! 🎉
Really excited to be part of the community and help bring more people together around Codex and building with AI.
Expect meetups, workshops, hackathons, and plenty of Codex content for developers, marketers, and anyone building something with AI.
Looking forward to meeting more builders, sharing ideas, and creating more opportunities for people to build with Codex.
Big thanks to @paw_lean and the @OpenAIDevs team for the opportunity.
Excited for what’s coming next.
@TheINAOG retweeted
I want to be free
That’s it
Intelligence at scale needs us to own it, otherwise we’ll never be free again
It’s really that simple
Freedom is worth it.
@TheINAOG retweeted
This is an extraordinarily important investigation and report into an incredibly sophisticated and well-funded anti-AI operation that blew up yesterday by an ex-Anthrophic employee, then amplified by another current Anthropic employee and other well-known characters.
Make no mistake: this is an ideological battle over the future of America, supported by billions in wealth and foreign actors and ironically power of AI, but would have impact to all humanity. The forces behind it are pushing toward a deeply dystopian, controlled future, with extreme levels of fear-mongering. This is the real existential threat to whatever hopes we have for the golden age of humanity.
This post looks like the start of a VERY sophisticated and well-funded PR operation to get support for Democrats to regulate AI into oblivion. Let me show you how it works:
1.) This guy, with minimal followers and no previous account activity, goes to the Wall Street Journal which publishes an exclusive with quotes from him on his resignation 18 minutes BEFORE this post goes up. Planning was clearly done in advance.
2.) Within hours, it has tens of thousands of reposts and the account has 100k+ followers. The post is punchy, quotable, it almost seems professionally written. The first three accounts to quote tweet it all do so within 15 minutes of the initial posting. Remember, this account had basically zero engagement beforehand, so an organic reach explanation seems unlikely.
According to Grok those accounts are @_NathanCalvin (General Counsel at Encode AI), @peterwildeford (Head of Policy at the AI Policy Network), and @DKokotajlo (Head of the AI Futures Project), all of which are up-and-coming AI-Doomer policy advocacy nonprofits.
The AI Futures Project website says it is funded “primarily” by the Survival and Flourishing Fund, which says on its own website that it has advised Jaan Tallinn, Skype creator and one of the leading investors in Anthropic, to grant over $2.5 million to the AI Futures Project since 2024.
Encode AI says on its website that it is ALSO funded by the Survival and Flourishing Fund, which in turn says that it told Anthropic investor Jaan Tallinn to grant $516,000 to Encode AI in 2025.
And wouldn’t you know it, the Survival and Flourishing Fund ALSO says it told Jaan Tallinn to grant $2 million to the AI Policy Institute, the 501(c)(3) affiliate of the AI Policy Network, as well.
What are the odds that the first three quote tweets of Coxon’s post would all be major AI-restriction policy advocates funded generously by the same donor, who also happens to be one of the leading investors in, and a board member of, Anthropic, the company Coxon was resigning from? And all within 15 minutes of posting (two within ten)?
3.) Jacob Coxon doesn’t have much of a resume, but we do know that, in 2022, he got a $20,159 scholarship for the “long term future scholarship program” from the Good Ventures Foundation, one of the philanthropic vehicles of Dustin Moskovitz, a notorious AI-doomer who has spent tens if not hundreds of millions on policy advocacy to strictly regulate AI, while also being an Anthropic Investor himself.
It also just so happens that the 14th person to quote Coxon’s post was @MaxNadeau_ (27 minutes after posting) who is the program officer for the Technical AI Safety team at Coefficient Giving, another of Moskovitz’s philanthropic spending vehicles. Max is not a frequent poster, his last posts before quoting Coxon were before Labor Day, but he was remarkably quick off the mark for this one.
4.) Basically every major Democrat politician and candidate has suddenly glommed on to this post, and conveniently, as the people cry out foe answers, Bernie Sanders already has a bill written to “ban super intelligence” and regulate AI into oblivion, and will be releasing later this week. The bill, among many other things, will create “a new cabinet-level federal agency to safeguard the public from the dangers of artificial intelligence” that will be “advised by an Artificial Intelligence Advisory Board comprised of experts on artificial intelligence.” Do you think, perhaps, Anthropic and its many investors who fund AI policy advocacy might have interest in getting to place a pet “expert” on the board of an entity that dictates what AI is and isn’t allowed to do? And isn’t it fortuitous that this whistleblower came forward with his oh-so scary stories so close in proximity to the release of the most radical piece of AI legislation ever introduced?
@TheINAOG retweeted
I, too, am VERY worried about AI killing everyone. So, I've come up with a plan. I am going to:
- help build the genocidal AI
- get insanely rich
- disappear to my island bunker before it's too late
- let the rest of you proles deal w/ the consequences lmao hahah get rekd fkers
@TheINAOG retweeted
OpenAI: “We’ve solved math”
Anthropic: “Our AI is so powerful it’s going to kill you”
Google: “Introducing Gemini 3.9 Flash! It’s 30% faster and 15% worse than the last Gemini”
@TheINAOG retweeted
Never gonna give you up
Never gonna let you down
Never gonna run around and desert you
Never gonna make you cry
Never gonna say goodbye
Never gonna tell a lie and hurt you
Thanks for reading. We will do a global reset of the usage for all paid subscriptions so that you can keep enjoying Astra after burning through all of it doing fun 3D modeling in blender. The work week is about to start.
Lands around 6pm PST today.
@TheINAOG retweeted
I love Smash 64 but I wish I was in it, so I hacked the original game to run in the browser and put myself + 1000 others in
Upload yourself at smash dot fun
@TheINAOG retweeted
Some ideas about how to get started learning about all of this
Inference Engines & Topics
- vLLM: PagedAttention, continuous batching, prefix caching, CUDA graphs
- SGLang: RadixAttention/prefix reuse, speculative decoding, MoE, structured/agent workloads
- TensorRT-LLM: NVIDIA peak stack, FP8/FP4, Wide-EP, disaggregated serving
- FlashInfer: reusable kernel/operator library for attention/GEMM/MoE/sampling
Kernels
- Triton tutorials → custom fused kernels
- CUTLASS/CuTe → Tensor Core GEMM and Blackwell/Hopper details
- FlashAttention papers → attention algorithm/kernel co-design
- PagedAttention paper → KV-cache memory management
- MoE docs → routing + grouped GEMM + all-to-all
- Nsight profiling → stop guessing
Do this mini-project sequence
1. Implement RMSNorm in Triton; compare to PyTorch
2. Implement fused SiLU × gate
3. Implement simple FP16 matmul; compare to cuBLAS/rocBLAS
4. Implement paged KV lookup for decode attention
5. Add FP8 KV cache with per-block scales
6. Implement toy top-k sampling on GPU
7. Implement tiny MoE dispatch + grouped GEMM
8. Integrate one custom op into vLLM or SGLang and profile end-to-end
You don’t “run a model”
- You run Kernels
The model is just a graph
The Inference Engine is scheduler / optimizer / executor
But the actual work? That happens in the Kernels
- MatMul Kernels
- Attention Kernels
- RMSNorm Kernels
- KV cache Kernels
- Quantized linear Kernels
- Sampling Kernels
- Fused “please don’t write this back to memory 9 times” Kernels
Same model, same GPU, same VRAM
Wildly different performance
Because one stack is using optimized fused Kernels that understand your hardware
And the other stack is playing hot potato with tensors through 47 tiny launches and pretending the GPU is the problem
Bad Kernels make people say:
“this model is slow”
Good Kernels make people say:
“wait how is this running locally?”
This is why Inference Engines and the Kernels implemented within them matter
The model is the recipe
The hardware is the kitchen
The Kernels are the knives, pans, burners, and the chef not cutting onions with a spoon
Most people benchmark models
The real ones benchmark the Kernels underneath



























