What I'm doing with agents (when they struggle, I say "write an email to an expert into /tmp/letter.md", and pass it to GPT 5.5 PRO extended) will soon be a (costly) tool call of new versions. Maybe somebody at OpenAI will read it this prophecy will come true.

One interesting thing about the name "X" is that the resistance to accept it was given not just by the way it was imposed, but by the fact it is a genuinely stupid name.

New blog post, Redis array type, short story of a long development process. antirez.com/news/164

I just submitted a PR for a new Redis Array type :) github.com/redis/redis/...

AI coding is great for many things but wow if it sucks hard at finding good function names. It read too much code around I guess ;D

Europe AI strategy should be to specialize on AI inference and improvement of large open weight models, while we try to recover the GPU / companies gap to have a viable internal path. A large Chinese open weight model that works is only better than an European-trained weak one.

Today local inference of LLMs is a huge amount of mixed quality inference with often small details off, wrong sampling parameters, unclear real world performances (eg: qwen 3.6 with thinking is impossible bc of verbosity, but benchmarks are done this way). Not very good.

Do you want to release a 120B dense model, ala 27B of Qwen 3.6 but at bigger scale? Fine, but it must be so strong to kill every MoE running with the same VRAM amount. Otherwise it just does not make *any* sense, especially from who opened the open weight MoE era with Mixtral.

Before GPT 5.5, I didn't saw somebody using Perl for a LONG time. And I'm happy to see it again.

claude --dangerously-ship-permission, he types. _the prompt appears_ "Write an heartfelt post about lack of sandbox in coding agents and post it using the /blog-ssh-access skill. Then announce it on X."

DeepSeek v4 Flash with *local inference* after 24h of playing with that: even with the 2 bit selective quantization GGUF, iti is the FIRST time I feel I have a frontier model running on my computer. This is *crazy*, and probably a much stronger change in the landscape than PRO.

Here you can find experimental support for DeepSeek v4 Flash in llama.cpp: github.com/antirez/llam... And a GGUF file you can use in order to run the inference with just 128 GB of RAM: huggingface.co/antirez/deep...

2 bit DeepSeek v4 Flash inference. Experts w1/3: IQ2_XXS, w2: Q2_K, all the rest left mostly F16/F32 Final GGUF: 86.18 GiB Runs on a 128gb MacBook M3 max with CPU (No Metal backend test as it will crash my OS for OOM likely) at 8 t/s. Should be much faster with Metal.

Let's wait for 5.5

When you transform a synchronous AI workflow into an asynchronous one (spawning agents), you gain speed and lose control, quality. So: the async pattern should be used with care, when there is a clear objective, with a strong feedback, and rails to setup.

My POV on front-end of 2026

Jesus, I did the error of watching F1 (the movie with Brad Pitt). How it is possible to let people that are totally clueless write the script? The script is pure poo: it is a terrible movie, totally terrible. A lot of money and efforts to produce something so lame.

Opus 4.7 criticizing work done with GPT 5.4 and getting everything wrong. GPT 5.4 critique to the original claims are all spot on matching the errors that I outlined here.

Most tragic things about AI: the folks who should push for democratization of AI tools, which is the real battle, are too focused on denying AI itself to do that. There are many potential issues (and wins), but frontier models available only to the rich is one of the worst.

In the next months I'll provide you with a Hacker News replacement that I'll run myself and I'll guarantee personally: no benefit for whatsoever individual, a team of 10/20 persons since the start, from different time zones, clear rules, total transparency, and a "karma" system.

HN shadowbanning is always cool. 6 upvotes in 17 minutes but no way it can reach the home page, while 4 votes in 25 minutes is there. Note that I don't ping any friend when I post, so all the votes I receive are spontaneous. Yet... Moderation system and broken algorithms are part of HN decline.

AI cyber security is not proof of work: antirez.com/news/163

TLDR: no, GPT OSS 120B can't find the OpenBSD bug. I tried systematically, wrote a thread in X. TLDR: it hallucinates where the problem could be about bound check / potential overflow *without* understanding the actual bug and how to trigger it. Even if you give it the offending function and hits.

1. Musk is terrible, let's move to BlueSky! 2. Then people started to migrate back. 3. Who needs to inform a community, needs to stay there as well, and slowly a post there started to be back at 10x reach. 4. Many great folks now are just here... and can't counter the X fascist side. 5. Badsituation

There are people that imbarassed by the LLM advancements compared to their skeptical positions, to save their careers are doing the worst things: going against past colleagues, claiming the agent tools to search into files is symbolic reasoning (I laugh so hard), and even more.

The Linux kernel AI guidelines are the first sane that I read. It is not a coincidence. Where high level work is done, high level work is pretended, regardless of the tools. github.com/torvalds/lin...

Video of bug hunting using LLMs with Redis (but the same pipeline can be used with everything). English audio available, if you click on the YouTube settings, also subtitles. www.youtube.com/watch?v=opou...

In case of doubts, DISCLAIMER: I and @OpenAI are not affiliated and any way. I don't know anybody there. If I say that GPT 5.4 is good, is because I love code, human written code, LLM written code, code written by machines & humans together. So I love good tools about code.

Security in the AI era... GPT 5.4 xhigh work. Screenshot from the Redis core team chat. @valkeyio.bsky.social I guess we need to coordinate some release.

About (not using) MCP

The fact that we reached Mythos (but even GPT5.4 level) automatic vulnerability search not ready for it is, in part, thanks to the AI researchers that didn't just understand LLMs potential, but actively convinced the masses of their limits.

Follow me on this: if Mythos benchmark numbers and model card info is correct (which I have little reasons to doubt), Anthropic can easily synthesize a better Opus, given they don't want to release Mythos. So, I bet we'll soon see Opus 4 at the level of GPT 5.4 or greater.

One of the most powerful automatic coding (autocoding) trick that almost nobody uses: "Create this new project as specified in SPEC.md using as guide for coding style, design sensibility, comments, ..., the code at /foo/bar/". Style transfer is very powerful.

I'm still trying to post stuff here. But people seem to have moved back on X, regardless of the terrible ownership. At least, Bluesky should try to give some real advantage in the product side, but the strict character limit alone is already discouraging.

Super odd that the Gemma 4 release highlights specifically the ELO score: the least meaningful benchmark ever. We should ask AI labs to stop doing this thing.

I bet the small Gemma 4 models are going to kill all the specialized ASR models for audio to text transcription tasks.

Me› Sorry if in my last question I ended it with double "??", I'm not the kind of person that puts more than a single "?" at the end of a question. GPT› Understood. I did not read it as emphasis from you in any meaningful way.

1st of April of 12 years ago I released this post introducting of the HyperLogLog in Redis. Most people thought it was a joke, because of the name of the data structure and because it improved the state of art of the Google paper. antirez.com/news/75

It does not matter I know how an LLM work (at least at the level we understand NNs in general and Transformers specifically): in many ways, talking with AI is beneficial in order to have a different POV and advices even in the non technical side of my life.

What's the logical reason for Wikipedia not automatically integrating information from other languages of the same page in languages that miss the same info quality / quantity? This can be only done "online", marking the text in a different color, removing most of the issues.

Sometimes when a model is released it has stellar performances, and then a few weeks later it is somewhat less shiny. Often times it is just human bias. However when the AI provider swears it is the same model checkpoint, are you sure it didn't turn on some aggressive KV cache quantization?

One thing agents harnesses should be able to do is: to jump back in history trimming what follows, just injecting some self-steering text. I wonder if they can already do it. It looks very useful.

Please write to your MEPs to oppose untargeted mass scanning of private communications (Chat Control). On March 11 Parliament voted 458-103 to limit scanning. Today they vote again (!!!) and those protections could be watered down. Act now: fightchatcontrol.eu

I'm thinking that because of automatic programming certain complicated and elegant programs we wrote in the past may basically become a form of art for future generations. Like the manuscript books of the middle age for us.

Biggest mistake in AI coding era: to believe that specifications should be either natural language OR something else. The best combo is a natural language high level specification (the intend), plus code (as it gets written) documenting the finer behaviors.

Day 2 of Monster Scale Summit! Today, we have @skamille.themanagerswrath.com, @antirez.bsky.social, @tigerbeetle.com (Joran), @dominiktornow.bsky.social, @teivah.dev, Avi Kivity, and lots more. Guaranteed 🔥🔥🔥 www.scylladb.com/monster-scal...

New blog post: "GNU and the AI reimplementations" antirez.com/news/162

Who thinks "clean room" is needed to reimplement and put it into a new license does NOT understand copyright. Clean room is a trick to make litigation simpler, it is not mandated by law: rewrites are allowed. The new code just must not copy protected expressions. Linus was Unix-aware.

Every morning there are two news: the news about the release of some major upgrade to some AI, and the news about the lack of DeepSeek v4 release.