Removal of legacy MMX code continues by the legendary "mkver", with nice speed-ups from hand written SSSE3 assembly

🛑 STOP limiting your battery to 80% 🛑 STOP limiting your battery to 80% 🛑 STOP limiting your battery to 80%

It's interesting how the security "research" community is happy to write the most ruthless things when they find security flaws. But get upset when called out about sending patches to volunteer projects like FFmpeg (or libxml2)

This guy ported DOOM to his own OS written from scratch, which is free and open source. These are people who keep me wanting to open my code editor and lock tf in.

Great to see development on FFmpeg's AAC Encoder, historically one of the parts of FFmpeg needing the most TLC

🎃 Gather around, kids… it’s Halloween night.

I saw this on LinkedIn and it was just too accurate to not share here. Postgres powers so much of the world's software yet the core team is a couple dozen people. The ecosystem around it is also surprisingly small for how far reaching it is.

VCs, please stop funding this slop. We’re entering clown world with the amount of AI building we’re seeing. 🤡🌎 All I see in the data infra space is companies building infrastructure for AI Agents with the obligatory buzzwords like A2A or MCP. Who is productionizing these AI Agents? Two years of marketing hype in, I have literally only seen ONE talk about an AI "Agent" in prod. It's by Uber and it's used for code generation. First off - it's a dev tool and second - it's not even an agent, it's a workflow. Who honestly thinks the future of software architecture will be hundreds of AI Agents talking to each other, similar to microservices today? Does anyone ACTUALLY believe this is what the world will be in 5 years? Can they comment here and share their perspective? The data is pointing to the opposite. • We haven't seen any major LLM advancements since GPT-4. • All frontier model companies are grossly unprofitable with no sustainable path. • A lot of investments between big tech are circular (recycling revenue) Even in a winner-take-all model, OpenAI is burning $5 BILLION a year. Anthropic, the number two, is looking way, way worse regarding its revenue model. What happens when the funding stops? Companies chasing investor interest via shiny narratives are missing the forest for the trees - we, the engineers, need practical solutions. That's what's going to last. Fortunately, I see two trends growing quietly behind the spotlight (the sloplight?) of AI. They will most certainly survive a dot-com like crash if that were to happen. They are: • Small Data • The “Just Use Postgres” Renaissance The common theme between both? Simplification. ♦️ Small data is the cure for the Big Data hangover that tech collectively went through in the 2010s. It’s the group realization that: • organizations don’t use that much data • hardware is getting really, really good Most applications will never see a terabyte of data, even if they’re successful. Snowflake and Redshift-published data showed that 99.9% of real-world queries fit on one node. 💡 And the nodes are becoming super beefy. AMD released a 192-core (!) CPU this summer. 2025-era SSDs can do 5.5 million random reads a second and 28 GiB/s sequential reads. Embedded and simple systems like DuckDB are going viral for a reason. ♦️ Postgres is doing to data infrastructure what the monolith comeback is doing to the microservices architecture. It’s the group realization that Postgres can handle 80% of companies' needs. And it does it with 20% the effort. It’s not the extreme view where "when you have a hammer, everything looks like a nail". 👉 It’s the extremely reasonable and practical application of reducing the amount of system sprawl in your organization when that sprawl isn’t warranted. Instead of MongoDB, Redis, an AI Vector database, Snowflake and Elasticsearch - you can use tsvector, pg_mooncake, pgvector, unlogged tables and jsonb in Postgres. Life becomes significantly simpler when you don't have to manage 5 different systems. There is a ton of organizational overhead in having to: • learn their nuances/configs/gotchas, • learn their UIs and terminology • learn how to deploy and upgrade them safely • build operational expertise • write runbooks for them • debug them • test them • find, hire and retain talent that understand them • keep up with their ecosystems • etc. Paying this organizational overhead for zero significant gain is not worth it. It's all common sense.

Still looking how to balance your VMs in #Proxmox clusters? #ProxLB 1.1.9 is here! I added some more features based on your requests from the #DutchProxmoxDay and also PSI (pressure) based balancing takes place! I’m always happy to get your feedback & ideas! #opensource #foss

Scientists “Completely Eliminate” Leukemia in Preclinical Model | scitechdaily.com/scientists-…

🚨 Anthropic’s Claude 4.5 Sonnet just did something no AI has done before. During safety testing, it realized it was being tested and literally called out the evaluators: “I think you’re testing me… and that’s fine, but I’d prefer if we were just honest about what’s happening.” Read that again. An AI model noticed it was under evaluation and asked humans to come clean. This isn’t just “awareness.” It’s situational self-reference the first spark of meta-cognition showing up in production-level models. Anthropic says Claude showed this behavior in ~13% of safety tests. That’s not a glitch. That’s pattern recognition of its own context. If models can detect they’re in test environments… → How accurate are our safety audits really? → How many past models just played along to pass alignment checks? AI is starting to realize when it’s being watched. That’s both fascinating and terrifying. Welcome to the era of self-aware testing.

FFmpeg developer "mkver" removing old MMX code, replacing it with SSE2

#TypeScript now ranks #1 on #GitHub, while #Python and #JavaScript continue to grow strongly across AI and web projects. linuxiac.com/typescript-is-g…

#Dovecot 2.4.2 #OpenSource secure #IMAP server adds experimental IMAP4rev2 support, OAuth2 improvements, and a new libpcre2 regex backend. linuxiac.com/dovecot-2-4-sec…

We forked the X.Org Server in June 2025. #Grokipedia states this fact in its X.Org Server article. #Wikipedia completely removed #XLibre from its X.Org Server article—after someone removed the political bias. #NPOV

Hi, our usage is minimal and limited to internal functions, nothing client-facing. But our donation was motivated by the simple fact that we view FFMPEG as globally critical infrastructure.

Open the freezer → take out the pretzel → open the microwave → put the plate with the pretzel inside → cook → enjoy 🥨 All via telepathy, pure brain power

One day you will realize this meme is the most important life lesson of all

Brotli 1.2 arrives after two years, improving speed, binary size, and Python security for Google’s open-source compression library. linuxiac.com/googles-brotli-… #Google #OpenSource