i don't get the "they hyped their model as dangerous to aura farm and should face consequences" angle ive been seeing for weeks. if they genuinely believe their model presents a security risk, should they have lied? or not said anything at all?

The talking point that Europoors are the ones obsessed with regulation whilst the US promotes free markets is now fully dead, and buried 6 feet under. Anyone making this point should not be taken seriously from now on; they are being delusional.

Trump's policy is an absolute joke. It's always the priority on the most visible, what makes the most attentional impact, regardless on the long term interests of the United States. That people got conned into electing this clown should serve as a lesson for decades to come

Trump's policy is incredibly weak because it shows without a shadow of a doubt that the US population cannot stomach the effect of a war on their cost of living. Any US adversary is feeling embolded by this.

Made a little bit of math. In 4 month using Codex with $20 subscription I used the equivalent of $6K tokens in or $36K tokens out. I wonder if AI investors are aware of how much this subscription is subsidized.

Just realized and want to write for the record - Iran may be stalling negociations with the midterms in mind. It knows that no matter what Trump says, he doesn't want to have a war in his hands at the midterm elections.

Gemini 3.5 flash is Agent 1 mini

I will admit that Gemini model is "nice to talk to". Even if it doesn't make sense to attribute this kind of thing to a model, it is something that puts it apart from Claude and GPT models which are much colder/more clinical.

Mark My Words: I think this hantavirus outbreak is a nothing burger. It does not have a strong enough human to human transmission to create a covid-like pandemic.

Most people still don't seem to have an idea how strong LLMs have become. If I vibe code a feature into my app, what my wife see is someone programming. She doesn't look at what I do and say "I can do that too!"

2025 poll - Is political violence Ever justified for a political gain 🔴 Republicans Yes 35% No 58% 🔵 Democrats Yes 23% No 68% Tipp #A - 1500 A - 10/2/2025

Is patience cave winning?

The grift never changes. What changes is the generation of suckers the Republican Party targets. 😳👇

Donald Trump finds out that Viktor Orban has lost the election:

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise. Some quick takeaways: * Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow. * Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated. * Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs). * Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these. * Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs. * Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy. * Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems. * Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been. One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise. This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.

This meme was so fucking accurate

Three key take aways for us from Orban's defeat. (1) Despite years of muzzling counter-majoritarian institutions, Orbán did not command the full authoritarian apparatus needed to overturn a comprehensive electoral defeat. He could not jail his political opponents at will, deploy the police or the military as a personal militia, etc. He's not Putin or Lukashenko. (2) Defeating an authoritarian government in a system rigged in its favour requires a multi-pronged effort. You need citizens to engage, organise, mobilise - but you also need parts of the security state and sections of the business elite to come over to your side. (3) The psychological impact of this for citizens in Western democracies is to pull their sense of keeping or losing their democracy out of the realm of magical thinking and into the realm of concrete action. It blasts away both magical optimism and magical doomism, and returns citizens to the realities of engaging in political conflict constructively.

The near future: AI generates code. AI tests code. AI commits code. AI pushes code. AI reviews code. AI deploys code. So, developers don’t write or read code anymore. They just do two things: 1. Tell the AI what to do. 2. Review *behavior*. Result? Human code readability won’t matter. Only AI reads it. Human code review will fade away. AI will be more effective and reliable than any human. “Code quality” is dead. Behavior is what matters.