hzapperz

@ns123abc $300 is more than enough in a day, if you’re using more than this, there’s a serious skill issue.

>Friend at Apple told me they’re being given $300 worth of token budget per day lol LMAO

@fitcapdefi The dosage appears to be 5 days on 2 days off. That’s what I’ve been told to do for Klow. I dose every 5 days or so.

also started 1mg of ghk-cu daily last week seemed to tolerate it well gonna bump that up to 2mg a day

@quinnslcm @skylarromines Sure, the people who watched it liked the video, but you said not enough people watched it so…

@skylarromines That’s not what 99% of people said who watched, they said the opposite

Although I think this sounds great, I did this for 100+ days straight and never broke over 300 likes. Got a lot of good feedback from the people that did see though Maybe I was too early?

@bubbleboi There are only a handful of ai chip makers, Google, Nvidia, and Amd. x ai coming soon. My approach has always been not to sell ai like a wrapper, but rather how do I make money using ai. I’ve increased my productivity therefore my labor is worth more than others.

I’m a big believer in not selling chips but selling the services those chips create. It’s the reason why cloud services is a larger market than CPU’s and why I think every AI chip maker will pivot to just serving and hosting models as a service rather than selling hardware which is a terrible business.

@tolstoybb You’re a year late.

One of my more crank beliefs is that Hitler revisionism is going to go mega mainstream in my lifetime.

@maxkolysh Thats not really what AWS and GCP do… Anthropic is not going to host websites them selves, they are going to use cloud providers to do so.

@zappstudios wdym? if you created an app in anthropic and it was one click to host with them, why wouldn’t you?

so does anthropic just eat AWS and GCP?

@DmytroKrasun You’re putting Cloudflare and HubSpot in the same bucket… Ngmi

It is not a software meltdown, it is a mental meltdown in the markets, also known as AI psychosis. Take these companies, check what they do, their moats, their customers, their revenue, and what their CEOs are doing now. Cloudflare, HubSpot, and Snowflake. What will likely happen to them and to businesses like that? I might be wrong, but markets seem to price narratives now, not fundamentals. It seems it is better to just quietly bet on my understanding of reality.

@bymarcoperez Bro made a newsletter into a mobile app.

My first iOS app has been live for 5 weeks. Here are the stats so far ⚡️ - 1000+ downloads - $194 MRR - $366 All-time Revenue - 30 five star reviews Initial launch hype has died down, but progress is progress!

@GaryMarcus CC is AGI. Too much goal post shifting has happened and there’s no real consensus on what AGI actually means. If you think otherwise, you’re probably not using Claude correctly.

Claude Code is not AGI, but it is the single biggest advance in AI since the LLM. But the thing is, Claude Code is NOT a pure LLM. And it’s not pure deep learning. Not even close. And that changes everything. The source code leak proves it. Tucked away at its center is a 3,167 line kernel called print.ts. print.ts is a pattern matching. And pattern matching is supposed to be the *strength* of LLMs. But Anthropic figured out that if you really need to get your patterns right, you can’t trust a pure LLM. They are too probabilistic. And too erratic. Instead, the way Anthropic built that kernel is straight out of classical symbolic AI. For example, it is in large part a big IF-THEN conditional, with 486 branch points and 12 levels of nesting — all inside a deterministic, symbolic loop that the real godfathers of AI, people like John McCarthy and Marvin Minsky and Herb Simon, would have instantly recognized.* Putting things differently, Anthropic, when push came to shove, went exactly where I long said the field needed to go (and where @geoffreyhinton said we didn’t need to go): to Neurosymbolic AI. That’s right, the biggest advance since the LLM was neurosymbolic. AlphaFold, AlphaEvolve, AlphaProof, and AlphaGeometry are all neurosymbolic, too; so is Code Interpreter; when you are calling code, you are asking symbolic AI do an important part of the work. Claude Code isn’t better because of scaling. It’s better because Anthropic accepted the importance of using classical AI techniques alongside neural networks — precisely marriage I have long advocated. It’s *massive* vindication for me (go see my 2019 debate with Bengio for context, or to my 2001 book, The Algebraic Mind), but it still ain’t perfect, or even close. What we really need to do to get trustworthy AI rather than the current unpredictable “jagged” mess, is to go in the knowledge-, reasoning-, and world-model driven direction I laid out in 2020, in an article called the Next Decade in AI, in which neurosymbolic AI is just the *starting point* in a longer journey.* Read that article if you want to know what else we need to do next. The first part has already come to pass. In time, other three will, too. Meanwhile, the implications for the allocation of capital are pretty massive: smartly adding in bits of symbolic AI can do a lot more than scaling alone, and even Anthropic as now discovered (though they won’t say) scaling is no longer the essence of innovation. The paradigm has changed. — *Claude Code is plainly neurosymbolic but the code part is a mess; as Ernie Davis and I argued in Rebooting AI in 2019, we also need major advances in software engineering. But that’s a story for another day.

@DrCamRx Peptides stimulate your bodies natural functions. This post is like debating if water is wet.

@heygeorgekal @claudeai Skill issue.

Been a @claudeai fanboy for a long time but the usage limits even on claude max are getting ridiculous Paying for both 100 claude and 100 codex this month. The difference is night and day. - Codex ($100): running parallel agents, barely touching the limits - Claude ($100): 3-4 deep prompts and i'm locked out I get it, they're probably focused on enterprise, but if you're charging $100/mo and people hit the wall after 30 minutes, they will churn. The product is incredible. The packaging is not.

This is not necessary. The data centers of meaningful scale cant really serviced by the grid, they are starting to create their own power systems. The water story is a gross exaggeration completely detached from reality. If a county doesn’t allow a data center then they’ll just build it somewhere else. Counties that welcome the data centers will have their local economies stimulated and proposer.

It's becoming super obvious that most people in the US do not like AI. But there's an easy way to fix this. It's actually super simple. AI companies pay for every home's electricity and water bill in the counties where data centers are built. Easy. You literally start proving out the abundance thesis the second those data centers get approved. Per Grok 4.20, there's roughly 50k homes in an average county in the US, with an average yearly utility bill for electricity and water of roughly $3k per year. That's roughly $150m per year per county. Each one of the biggest data center hyperscalers can very easily afford this. You'll have counties TRIPPING OVER THEMSELVES to get a data center built in their region. It's such a no-brainer solution.

It’s best to ignore politics right now. This is not an issue for Italians to concern themselves with. You really have to have lived in the US to understand the full scope of what’s going on. The information has been sprawling through TikTok, if you scroll enough the answers will find you, but based on your current understanding, not sure if you’ll recognize them.

I don't fully get Trump Like I get he's retarded, an egomaniac, a manchild and all But he's having the largest meltdown in history, it's almost like he's Actively choosing to burn political capital and support for no conceivable reason, not even a petty one

All the hate around Claude limits and apparent throttling is amusing to me. It’s almost like a basic litmus test for basic Claude competency. The models are not actually being throttled… I will be gatekeeping tho, best of luck!

@charlespacker We already have AGI... The amount of cash required to reach the next level is too much at the moment, it now makes business sense to expand horizontal markets.

Back in my day Anthropic was famously the company that didn’t have an image gen model because they were “too focused” on AGI now they’re out here attempting to ship every AI product under the sun. when did the vibes change? feels like it started with cowork

@RhysSullivan The models do exactly as they are told... If you can't get it to output what you want you're probably not instructing them very well.

from my experience, even the best models (Opus 4.6, 5.4 xhigh / 5.3 codex) cannot write good code today without an amount of work that is equivalent to just doing the work myself am excited for a world where they can, but in the current state i have very low trust in them

@staysaasy Even an LLM will struggle to maintain a single colossal python file. The context window is limited. Having a well structured project with a description and visualization of the structure is optimal for LLMs.

I find it so quaint that 2026 LLMs are still trying to properly format code into nice modular files for humans, instead of allowing applications to evolve into their obvious final form of a single colossal python file

@umzrs Doesn’t work

Peptide gummies

@crypt0lake All of the marginal claude wrappers will become features of Claude

how many startups dawg, how many