Diego Gómez

Google ML Engineer🤖
Thoughts are my own.

[Diego Gómez @diegoalejogm]

I just published “GANs from Scratch 1: A deep introduction. With code in PyTorch and TensorFlow” https://t.co/wQm0yeN0zx

[Sakana AI @SakanaAILabs]

Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.

Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.

Try it: https://t.co/hhO6qTawgb 🐡

[Andrej Karpathy @karpathy]

This is a super exciting release - Claude Fable 5 is the same underlying model as Mythos but with added safeguards. The benchmarks are great and it's SOTA on everything by a margin but I'll add that *qualitatively* also, this is a major-version-bump-deserving step change forward (imo of the same order as Claude 4.5 was in November), peaking especially for long problem-solving sessions on very difficult problems. You can give it a lot more ambitious tasks than what you're used to, the model "gets it" and it will just go, and it's never felt this tempting to stop looking at the code at all (but don't do this in prod!). The model still has quirks that people will run into and the safeguards are configured to be a little too trigger happy for launch, which can hopefully be tuned over time.

I feel a lot of things changing as working software increasingly comes out on a tap. The Jevon's paradox kicks in and I feel my own demand for software growing substantially. You can ask for anything - explainers, visualizers, dashboards, bespoke single-use apps (e.g. a full wandb that is hyper-specific just for your project), you can 10X your test suite, auto-optimize code, run giant research projects with custom HTML for the results, anything! "Free your mind" (Matrix ref). Really looking forward to all the things people build!

[Sundar Pichai @sundarpichai]

Amazing to see how our experimental research AI system for mammography interpretation identified more cases of interval cancers, as well as invasive cancer, and more cases overall, than conventional methods. Plus it could reduce clinicians’ screening workloads by an estimated 40%.

Big step towards a future where AI serves as a reliable collaborator for clinicians.

[Naval @naval]

A “computer” used to be a job title.

Then a computer became a thing humans used.

Now a computer is becoming a thing computers use.

[Andrej Karpathy @karpathy]

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then:

- the human iterates on the prompt (.md)
- the AI agent iterates on the training code (.py)

The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc.

https://t.co/YCvOwwjOzF
Part code, part sci-fi, and a pinch of psychosis :)

[Naval @naval]

It’s not about junior vs senior, it’s about “good with AI” vs “not good with AI.”

[Diego Gómez @diegoalejogm]

Early 2026 coding setup:
- Wispr Flow
- Claude Code
- Cursor

Missing anything ?

[Spencer Hakimian @SpencerHakimian]

You need to read all of this by tomorrow morning.

You have no time left to waste.

[Boris Cherny @bcherny]

I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit.

My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently.

So, here goes.

[Andrej Karpathy @karpathy]

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.

Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.

As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.

It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

[Diego Gómez @diegoalejogm]

Have you tried a bigger llm for moshi? How much better is it ?#Neil #dotai2024

[Sam Altman @sama]

investing is an amazing very-part-time job, and (at least for me) a soul-sucking full-time job.

BUT

those mountains in aspen aren’t gonna ski themselves, that party in saint-tropez isn’t gonna enjoy itself, that kiteboard on necker island needs someone to fly it, etc etc etc.

[The Cultural Tutor @culturaltutor]

This is not a royal palace — it's a 19th century shopping mall in Milan, Italy.

So here's a brief history of malls, and why they don't have to be soulless places:

[Diego Gómez @diegoalejogm]

Don't underestimate the risk of inaction

[Diego Gómez @diegoalejogm]

Be 1% better every day (or more) @JamesClear

[Diego Gómez @diegoalejogm]

Less is more

[Diego Gómez @diegoalejogm]

Life is a single-player game. You’re born alone. You’re going to die alone. All of your interpretations are alone. All your memories are alone. You’re gone in three generations, and nobody cares. Before you showed up, nobody cared. It’s all single player. — @naval

[Diego Gómez @diegoalejogm]

"Stop learning, die young.

Keep learning, stay young."

– @JamesClear

[Diego Gómez @diegoalejogm]

Hard times create strong people

[Diego Gómez @diegoalejogm]

"Make mistakes, just don't make them permanent."

–@JamesClear