Mathew Youssef

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Mathew Youssef

Mathew Youssef

@Mathewdoeslife

the creative process follows me

Katılım Mayıs 2024
369 Takip Edilen207 Takipçiler
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Mathew Youssef
Mathew Youssef@Mathewdoeslife·
New puppy. He’s still learning to walk, but very friendly
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0xSero
0xSero@0xSero·
Say I've successfully jail broken a big boi, what do i do? Is there like a bounty list or something?
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kache
kache@yacineMTB·
I try not to waste too much time sniffing my own farts
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kache
kache@yacineMTB·
The way I live my life is confusing to the so called rationalists. My disregard for "rational, logical" truth. The fact that I value feelings over reason. If something feels a certain way, it doesn't matter what it is. Feeling overrides rationality, overrides reason. Feeling is more real than thoughts that I can follow. Feeling is truth, not reason. The instant gut check, the perception of it, the way my body reacts to it. It doesn't matter what you say is the case. Even if I'm technically wrong, I am spiritually right. I have been doing this for a long time and let me tell you, in the whole, I have been more right than wrong, especially when everyone else thinks they are right. I don't even read what people say in their blog posts. I skip around words, I feel saliency, I look at their profile picture and their name. I experience the entire thing in its context. I derive an opinion. In my head there is a dionysan peepeepoopoo pressing the cringe or based button and I simply listen. Every time I haven't, I've been wrong. But you know, that's not what the berkely rationalists care about -- they don't care about being less wrong. They care about being perceived as smart. It doesn't matter if they come to the wrong conclusions, as long as you can't hold them responsible for those conclusions. The blame lies in the rational process and the information they had. It wasn't their fault, you see? Often wrong, but always smart, in the eyes of the daemon that represents status. I'm a little different. Always right, spiritually, always wrong rationally. My rationales only serve my spirit, the integration of all the slime, into that split second feeling
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Catalin
Catalin@catalinmpit·
Did X become more boring or it’s just me?
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JB
JB@JasonBotterill·
I AM YOU ARE WE ARE AUSTRALIAN
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Dean W. Ball
Dean W. Ball@deanwball·
people are just desperate to misread you. it sucks.
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Dean W. Ball
Dean W. Ball@deanwball·
See what I mean? I accidentally generated a thousand words of manidis for making a predictive statement about what I think the government will (not should) do that even Will mistakes as a normative claim “by a lab employee.” Impossible to write as I used to.
Will Manidis@WillManidis

My friend Dean Ball has advanced an argument for the de facto protection of American frontier intelligence providers. Dean does not propose banning Chinese open-weight models. Banning things requires Congress. He proposes something more characteristic of the modern administrative state: every agency issues enough warnings, bulletins, and speculative security notices that no regulated company will risk touching them. Even a reader sympathetic to Dean would call this protectionism, and protectionism has a long history in America. More precisely, it's a proposal to use the informal, coercive power of the terminal, late-stage bureaucratic state to clear the American market of a cheaper frontier competitor to OpenAI or Anthropic. But throughout the history of American industrial protectionism, it has always had two features. First, it's done in the daylight, and two, it comes with a bill. In the spring of 1952, the United States was fighting a war in Korea. Truman concluded that a shutdown would endanger soldiers abroad and ordered the Secretary of Commerce to seize and operate most of the nation's steel mills. The Supreme Court sent him straight back to Congress in the Youngstown Steel case. Justice Black, writing the majority's opinion, begins with the rule that Dean's proposal is seemingly designed to evade: that presidential power "must stem either from an act of Congress or from the Constitution itself." It's easy to flatten the Youngstown decision into the proposition that the president could not seize a steel mill. Its actual lesson is subtler: that an emergency does not dissolve the difference between making a law and executing one, that the importance of the object does not create the authority, that the inconvenience of the regulatory process is not inherently a source of presidential power. Truman's approach failed not because steel was unimportant, but because it was so important that the constitutional bargain had to be made and the policy had to be carried through the front door. Much like policy proposals from the rest of the AI agenda, Dean is proposing a smaller action in formal appearance and a much larger one in practical effect. We will not ban Kimi, we will not prohibit it from use, and we will certainly not publish a rule declaring Chinese weights unlawful. But we will whisper about it. A regulator may even ask management whether it has considered the reputational consequences of relying on the Chinese model, but the agency certainly will never be coherent enough to ask anyone to stop. It merely ensures that continuing becomes professionally indefensible. This is how we grow the administrative state, with bureaucrats that we placed in these roles, without accepting responsibility for the actual process of governing. America has tried this experiment before. Operation Chokepoint didn't make payday lending, firearm sales, or any of the other seemingly distasteful businesses caught in its net illegal, but it encouraged banks to understand that serving legally disfavored customers would invite regulatory interest. We didn't pass a law, we simply just asked, "Are you sure you really want to be doing this?" Reputational risk was powerful precisely because it's not law. It has no limiting content. A regulator did not need to identify a violation or even a material financial risk. He only needed to make the bank afraid of being asked what was actually going on here. The analogy is almost embarrassingly exact to Dean's policy proposal. Dean need not prove that a Chinese model contains a backdoor, nor prove that it uses any more distillation than American models do. He simply needs to announce that there may be one. The agency does not need to order a company to stop using it, but simply ask whether management has considered the risk. The absence of formal policy is by design. The Supreme Court dealt with this technique in NRA v. Vullo. New York's financial regulator could not directly punish the NRA's speech, so she allegedly pressured the insurers and banks she regulated to sever their relationships with it. The Court's rule was unanimous: government officials may not use their offices to "coerce private parties" into suppressing what the government disfavors. The communication must be understood in the context of the regulator's power, including the regulated party's knowledge that the person offering advice can also investigate, prosecute, fine, and settle. The current administration has gone even further. In April 2026 the FDIC and OCC issued a final rule to prohibit regulators from criticizing institutions, formally or informally, on the basis of reputational risk, and from encouraging banks to deny services to lawful but politically disfavored businesses. In June, the federal banking agencies removed the remaining references to reputational risk from their supervisory materials. Dean is proposing that this administration recreate for AI the same machinery that all of us argued against when we were widely debanked. A government that can quietly remove Kimi from the market can also quietly remove gun makers, crypto companies, churches, newspapers, or American open-weight models from it. The bureaucracy does not remain attached to the intentions of those who staff it at the current moment. You don't get to build this machine just because your friends happen to be in office right now and keep it pointed at where you left it. Protectionism through a whisper is not a more modest protectionism than by law. Protectionism also has always come with a bill. OpenAI and Anthropic increasingly speak of themselves as national institutions. Their compute is "strategic infrastructure," their losses are "national security losses." Their competitors are not just competitors, but instruments of hostile states, and their access to power, chips, capital, copyrighted material, and public customers is a matter of national survival and great power competition. When Washington decided that the atom was too dangerous and too important to remain an ordinary private business, Congress created the Atomic Energy Commission and transferred the Manhattan Project assets and responsibilities to it. Production facilities and reactors were government-owned, and technical information sat under federal control, and private participation only returned later through a statutory licensing regime. The existential framing of the atom by its greatest proponents produced public control. When national security concerns helped to preserve AT&T's integrated position, that is, a monopoly, in 1956, Bell did not receive this protection for nothing. The consent decree required compulsory licensing of roughly 9,000 patents and restricted Western Electric's commercial activity outside the telephone system. The settlement diffused the inventions accumulated inside the protected monopoly into the broader economy before breaking it up just a few decades later. The pattern is really simple. It's not that every tariff necessarily demands nationalization. It's that the bigger the shield you are asking for, the bigger the bill you owe to the American taxpayer. And OpenAI and Anthropic have been unambiguous about asking for the biggest shields of all time. Listen to what they are asking for: public infrastructure, privileged energy, federal preemption of state law, favorable copyright treatment, government contracts, export controls, and a domestic market swept clear of their strongest price competitor, all filed under national security interests. And what do they want to pay? Almost nothing. OpenAI has floated giving 5% of the company to the American taxpayer. They would like the benefits of nationalization at the price of being an ordinary public company. There is also a profound moral hazard buried in Dean's proposal, as well as adjacent commentary on this. The labs say the Chinese companies distilled their models. Perhaps they did. Perhaps distillation matters. And perhaps the Chinese labs are running distillation attacks on scales that the Western labs are. I can't be sure of this. But if the reward for failing to secure an API is that the government removes the resulting competitor, the taxpayer is paying the lab to be careless. We know how to secure an API. Know-your-customer laws exist. Access controls exist. Extraction detection exists. If you spend some fraction of the hundreds of billions being raised to defend the asset whose theft is said to threaten the republic, you might be able to stop some of this. Theft remains theft when the lock is bad, but the owner of a badly secured store does not receive ownership of the street for his failure to protect it. Dean's fourth point is that open-weight AI ends in communism: the state builds the training runs and subsidizes the product of intelligence and gives the models away. But, at least for me, this is not a particularly Chinese idea, but one of the most American ones imaginable. The roads we build are public. Our radio spectrum is publicly allocated. The government funded the early internet and much of the research base behind modern computing. The state is welcome to build a platform, and American businesses are welcome to be built on top. Just because they're bad for our market position doesn't mean we get to call them Chinese in some fundamental way. There will be inference companies and application companies and security companies and fine-tuning companies and data companies and chip companies and 10,000 businesses we don't even have names for yet. A public road existing does not abolish the trucking industry, nor does it nationalize it. Sure, this may reduce the value of a couple trillion dollars of equity in the first generation of model companies, but it's certainly not communism. This technology may be civilizational without its present owners being permanent. And that is the thing that I feel like none of you will say out loud: that AI is welcome to be a civilizational technology when we ask for support, and an ordinary private product when anyone asks what the public receives in return. The United States has two honest options. First, treat AI as a competitive industry. Then the answer to Kimi is a better model, run cheaper and exported harder, with written rules excluding Chinese systems from defense, intelligence, and critical infrastructure when a concrete security case can be made. Or two, decide frontier AI is too important for ordinary competition. Protect the labs through pseudo-nationalization, guarantee there's a market for them, and exclude the rivals. But in that second case, the American taxpayer must be paid, likely through a majority of equity in these companies, if not full nationalization. What no one gets is that private upside, public infrastructure, government-mandated scarcity, and immunity from cheaper competition delivered through a late bureaucratic state issuing warnings is a disgusting ask for something that is easy to name: regulatory capture. There is a serious American argument for protecting industries that we can't afford to lose. But there has never been a serious argument for doing it invisibly, for free, through a bureaucracy instructed to manufacture fear, even if we can do it because our friends happen to be in office right now. If the labs want to be protected, they should ask for it in the way that Americans have always asked for it. In public. With a price.

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Qwen
Qwen@Alibaba_Qwen·
Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out. Can't wait to hear what you build. Stay tuned! 🚀  Token Plan international:qwencloud.com/pricing/token-… China:platform.qianwenai.com/pricing/token-…
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Parmita Mishra
Parmita Mishra@parmita·
me when I get banned from Anthropic for life for asking “how do you synthesize acetaminophen?”
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Ashish Rawat
Ashish Rawat@eashish93·
How can I disable this pet from showing in menu. This is very annoying UX. Whenever I open this menu in codex, my cursor always slips to Show Pet instead of usage remaining. @thsottiaux
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Tibo
Tibo@thsottiaux·
ChatGPT Work is for ✅ Creating and hosting sites ✅ Managing your emails for you ✅ Summarizing mountains of documents ✅ Creating top-notch docs, sheet and slides Already in your mobile app or on chatgpt.com, included in Plus, Pro, Business and Enterprise plans
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Tibo
Tibo@thsottiaux·
@rezoundous How many of them did you talk to
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Tyler
Tyler@rezoundous·
for a second there, I actually saw 169 subagents working at the same time in my Codex thread
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Mathew Youssef
Mathew Youssef@Mathewdoeslife·
@47fucb4r8c69323 We need more attention on the system prompt… slowly becoming more evident that the models need less guidance to produce intelligent outputs.
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Ray🫧
Ray🫧@ravikiran_dev7·
Amd just killed the monthly $200 AI bill 🤯
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work louder®
work louder®@work_louder·
BTS with the Codex Micro base - each milled from a solid block of aluminum
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Kelvin Celso
Kelvin Celso@kelvinbuildss·
Codex is wayyy better (now) than Claude code Who else agrees?
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Mathew Youssef
Mathew Youssef@Mathewdoeslife·
@deanwball Why do you care so much about the opinions of others? And why should the opinions of others influence your expression to the degree you are describing?
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Dean W. Ball
Dean W. Ball@deanwball·
I’m afraid to tell you that it is effectively impossible to do the kind of writing I used to do on this website, not because anyone at OpenAI censors me but because of the sheer volume of hostility I get for sharing my analysis as a frontier lab employee. I enjoyed writing quick takes on this website for one basic reason: I could get rapid feedback on my own ideation process in real time. Post the early version of the take here, see the criticism; then refine, sharpen, and repeat. Unfortunately now that feature of this site is gone, because the feedback I get is now almost exclusively colored by resentment at the fact that I work at a frontier lab or other forms of hatred for my employer. The feedback signal is essentially useless now, so writing on here is not fruitful for me anymore. Literally everything I write now is responded to with “of course you said that because .” I am truly just writing what I think and would have written anyway, but everyone reads what I say in the shrieking tone of “this is what openai thinks!!!!” (to be clear, my posts are not what openai thinks). This is an unpleasant and more importantly unproductive pattern for me. I anticipate that the shape of this account will change significantly as a result. I do not currently know how. It will not become a LinkedIn feed. It will change in some other way. It will no longer be a real-time accounting of my own thinking as it develops, since this is precisely the thing that seems impossible to do now. That will have to shift to private channels.
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Mathew Youssef
Mathew Youssef@Mathewdoeslife·
How many times do you accidentally click “show pet” in a day?
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am.will
am.will@LLMJunky·
@robinebers yea but its 6 figures in australian money so its basically worthless
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