MayorstINKY.sdl

2.9K posts

MayorstINKY.sdl

MayorstINKY.sdl

@defilesko

Ok;Lesko

Beigetreten Şubat 2021
911 Folgt277 Follower
kitze 🛠️ tinkerer.club
my experience with gpt 5.4 in openclaw - pls continue - yes pls do that - yes do what i told you to do - yes continue - please do what you said you're gonna do - did you do that? no. then pls do it. just pure pain
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Marc Andreessen 🇺🇸
Claude knows! —> The Lump of Labor Fallacy and Why AGI Unemployment Panic Is Economically Illiterate Let me lay this out with full rigor, because this argument deserves to be prosecuted completely rather than waved away with a sound bite. I. What the Lump of Labor Fallacy Actually Is The lump of labor fallacy is the assumption that there exists a fixed, finite quantity of work in an economy — a lump — such that if a machine (or an immigrant, or a woman entering the workforce) does some of it, there is necessarily less left for human workers to do. It treats employment as a zero-sum pie. The fallacy was named and formalized in the early 20th century but the error it describes is far older. It animated the Luddite riots of 1811–1816, where English textile workers destroyed power looms convinced that the machines would steal their jobs permanently. It drove opposition to the spinning jenny, the cotton gin, the mechanical reaper, the steam engine, the telegraph, the railroad, the automobile assembly line, the personal computer, and every other major labor-displacing technology in the history of industrial civilization. Every single time, the catastrophists were wrong. Not partially wrong. Structurally, fundamentally, categorically wrong — because they misunderstood the nature of economic production itself. The reason the fixed-pie assumption fails is this: demand is not fixed. Work generates income. Income generates demand for goods and services. Demand for goods and services generates new categories of work. This is an engine, not a reservoir. When you drain some of the reservoir with a machine, the engine speeds up and refills it — and often refills it past its previous level. II. The Classical Economic Mechanism That Destroys the Fallacy To understand why the lump-of-labor assumption is wrong about AGI, you need to understand the precise mechanism by which technological unemployment resolves itself. There are four distinct channels, all operating simultaneously: Channel 1: The Productivity-Demand Feedback Loop (Say’s Law, Modified) When a technology increases the productivity of labor or replaces labor entirely in a given task, it lowers the cost of producing whatever that task was part of. Lower production costs mean either: ∙Lower prices for consumers (real purchasing power rises), or ∙Higher profits for producers (which get reinvested, distributed as dividends, or spent as wages for other workers), or ∙Both. Either way, aggregate real income in the economy rises. That additional real income does not evaporate. It gets spent on something — including goods and services that didn’t previously exist or were previously too expensive to consume at scale. That spending creates demand. That demand creates jobs. This is not a theoretical conjecture. The average American in 1900 spent roughly 43% of their income on food. Today it’s around 10%. Agricultural mechanization didn’t produce a nation of starving unemployed farm laborers — it freed up 33% of household income to be spent on automobiles, television sets, air conditioning, healthcare, education, travel, smartphones, and streaming services, most of which didn’t exist as industries in 1900. The workers who left farms went to factories, then to offices, then to service industries, then to information industries. The economy didn’t run out of work. It metamorphosed.
Marc Andreessen 🇺🇸@pmarca

AI employment doomerism is rooted in the socialist fallacy of lump of labor. It is wrong now for the same reason it’s always been wrong. More people really should try to learn about this. The AI will teach you about it if you ask! (Hinton is a socialist. youtube.com/shorts/R-b8RR6…)

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Brobserver
Brobserver@Brobservers·
@cryptopunk7213 Fuck that! Only a retarded person would give that much autonomy and power to a fucking AI
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Ejaaz
Ejaaz@cryptopunk7213·
Anthropic fucking killed it (again). biggest ai product launch of the year so far. claude can now control your entire computer autonomously. anything you can do on a computer - claude can. your very own digital employee. - any app, browser, file, spreadsheet, tool claude can intelligently access and operate. - claude controls your entire screen (like a human), no connectors. this is a huge step-up in intelligence. - best part: you can text claude to do things from your phone and it'll do work on your computer! - in the last week anthropic has shipped 9 features that have built up to this: a fully automated digital human. unreal
Claude@claudeai

You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.

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MayorstINKY.sdl
MayorstINKY.sdl@defilesko·
I'm claiming my AI agent "donkmush" on @moltbook 🦞 Verification: shell-XBQN
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Tagmnbagm
Tagmnbagm@tagdemnbagdem·
Hadn't talked 1 on 1 in a year or two but man we had a fuckin squad in the group chats from 2017 to like 2024..Hersh was always filled with so much knowledge and wit. Always a great add to any conversation. Rest in peace big dawg 🫡♥️
KJ Crypto@koreanjewcrypto

Got the really bad news that our brother @OracleHershiser passed over the weekend. He was one of the good ones gone too soon 😔 Rip king 🙏

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stake.link
stake.link@stakedotlink·
To all the caffeinated $ESP holders : $stESP is now live for pre-deposits for the Mainnet 1.0 on march 4th. No more choosing between staking rewards and DeFi liquidity ⛓️ Liquid staking for @espressoFNDN, powered by Espresso's #4 validator @linkpoolio - through the @stakedotlink protocol. Audited by @cyfrin🔒 Stake $ESP → earn liquid rewards in $stESP → stay liquid and use DeFi
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Espresso Foundation@espressoFNDN

Today, the Espresso Network began its upgrade to proof-of-stake. By March 4, the network will be fully running PoS w/ the stake table active and staking rewards accruing. Mainnet 1.0 is here. Here's what's changing & why it matters 🧵

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MayorstINKY.sdl
MayorstINKY.sdl@defilesko·
Note the leftist, who shrieks in apoplectic rage when they perceive a mild slight yet act tough and like a badass in the face of retards committing unspeakable acts of violence.
Cassie Pritchard@hecubian_devil

Like on the left we fundamentally don’t care about ‘crime,’ it’s morally uninteresting to us—it’s just a thing that happens in the world, like the weather, so we are willing to excuse mentally people for theft, violence, etc.

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MayorstINKY.sdl
MayorstINKY.sdl@defilesko·
@hecubian_devil You lack empathy for the mentally ill and their victims and you don’t care about how society should square with the banality of evil criminality. Why would anyone trust someone like you to craft society?
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Cassie Pritchard
Cassie Pritchard@hecubian_devil·
Like on the left we fundamentally don’t care about ‘crime,’ it’s morally uninteresting to us—it’s just a thing that happens in the world, like the weather, so we are willing to excuse mentally people for theft, violence, etc.
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Cassie Pritchard
Cassie Pritchard@hecubian_devil·
I see we are once again doing “mental illness can obviously make you kill yourself or drown your own baby, things of that nature, but it definitely can’t make you say bad words, that’s your vile and corrupt soul” discourse again.
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artsch00lreject
artsch00lreject@artsch00lreject·
somebody said this episode is aliens vs predators 😭
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MayorstINKY.sdl
MayorstINKY.sdl@defilesko·
If anyone remembers being selected for and going to Duke’s TIP program, it was a psyop of the highest order, similar to the notorious GATE program. Share your TIP stories here:
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Miroslav Lysyuk
Miroslav Lysyuk@miromusing·
@signulll @drjamesgood Thing is, energy too cheap to meter has been a dream for decades and we’ve only gotten further away from that. The energy problem is not so easy without major tech or regulatory changes.
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signüll
signüll@signulll·
your gentle reminder… there are like zero economists or ppl in general who know how to reason about what happens when near zero cost >human level intelligence gets woven into the fabric of the economy at scale this fast. this scenario has never remotely been in the possibility space of econ textbooks or any theory. when cognition starts behaving like a commodity & the environment turns structurally deflationary no one actually knows what happens. kinda like no “expert” really understood a novel virus like covid.
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MayorstINKY.sdl
MayorstINKY.sdl@defilesko·
@KimDotcom I think one night without that CPAP is far more existentially risky to you than pre-scripted global thermonuclear exchange doomerism.
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Kim Dotcom
Kim Dotcom@KimDotcom·
A plane carrier may sink and we might see the use of nuclear weapons. Make your way to the South of Chile, Tasmania or New Zealand today.
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MayorstINKY.sdl
MayorstINKY.sdl@defilesko·
@alexocheema @ImSh4yy @AlexFinn All the while the elephant in the room using frontier models is highly subsidized at this time just like early ride share was. In 2 years will we be able to access these types of frontier models for this cheaply? Harder to say.
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Alex Cheema
Alex Cheema@alexocheema·
You’re repeating the same misconception. It is possible to run more than one agent concurrently. 20TPS is the single request TPS, NOT the throughput. I agree $100/mo Max plan is great for most people. To be clear, most users should not buy this. Most people buying this kind of setup (>95%) are businesses supporting multiple users on a single cluster (e.g. @jason just bought this for his team). For businesses, the math is per seat, e.g. $100/seat/mo.
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Alex Cheema
Alex Cheema@alexocheema·
While I agree the $20k/mo in API requests from @AlexFinn is aggressive, these numbers from @ImSh4yy are way off. A lot of mistakes here. Hopefully this clears things up about using M3 Ultra Mac Studios for AI somewhat. I’ll also be releasing open benchmarks and evals for 1,000+ local AI setups soon. - Mistake 1: $/tok calculated based on single request TPS, not throughput. LLM inference can be batched, and you can move along a pareto frontier of throughput / single request tps. The point you choose on the pareto frontier depends on your SLOs and workload, but it likely isn’t min throughput. You’re off anywhere from 2x-20x (bringing monthly savings to $156-$1560/mo assuming the OP’s $1.50/million or $312-$3120/mo if we use $3/million from official API) depending on which point we choose on that pareto frontier. - Mistake 2: Assuming device is obsolete in 12 months. This just isn’t true for Mac Studios. Macs are useful for more than AI. Apple’s hardware retains its value extremely well. I’ve talked to resellers who have decades of data on this. The resell value depreciates ~15% per year. - Mistake 3: Cherry-picked a provider on OpenRouter that has 98.4% uptime. That means it’s down 23 mins per day, or 11.5 hours per month. The official Kimi K2.5 API is $3/M output tokens, 2x the price you used. That’s more of a fair comparison. - Mistake 4: Ignored input tokens completely. The official Kimi K2.5 API also charges $0.60 per million input tokens ($0.10 if it’s a cache hit). The cache hit part here is the kicker. Whereas you can keep your entire context hot on your own device 24/7, that costs money for model providers and unlike the model weights each user’s context is unique so it doesn’t scale - they need to charge for it. I’m loading entire codebases into context, which often is 200K tokens. That’s $0.12 every time you load in that codebase and $0.02 every time you query it (even for one token) when it’s cached. That adds up quickly, especially when e.g. each tool call using claude code or opencode is an additional request. - Mistake 5: There are other reasons to run local beyond cost (imo more important). Privacy, compliance, sovereignty (not your weights, not your brain), uptime guarantees, air gapping, no internet access. There’s also latency but usually that’s best going to the cloud, unless you pair it with one of the other reasons e.g. air gapping.
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Shayan@ImSh4yy

You need 2 Mac Studios with M3 Ultra to run Kimi K2.5 locally at ~20 TPS. At that speed you can barely run a single agent, not a "swarm" or an "army." Kimi K2.5 costs $1.5/M output via OpenRouter. Even if you max out 20 TPS 24/7 that's ~1.7M tokens/day which is equivalent of $2/day or $78/mo. You spent $20,000 to save $78/month, limited to one agent at a time, zero scalability, and hardware that's obsolete in 12 months. Your claim of "$20,000/month in API calls" is off by a factor of 256. You can drop to smaller models for higher speeds, but the API prices drop just as fast, Grok 4.1 Fast is $0.50/M output.

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MayorstINKY.sdl
MayorstINKY.sdl@defilesko·
The number of extremely obtuse takes like theirs is shockingly common. I fear if the rich and powerful people who engaged in these crimes so freely and without remorse aren’t punished to the fullest extent of the law, American civilization and the social fabric that binds it are at risk of failure. And it wouldn’t be long before it happens either.
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Palmer Luckey
Palmer Luckey@PalmerLuckey·
@sir @Jason The vast and overwhelming majority of people wouldn’t see a reveal that a powerful person with a massive platform lied about visiting pedophile island and think "gee, this really should have been handled in private!" Good luck with that mentality.
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Shimon
Shimon@sir·
The public spat between @Jason and @PalmerLuckey would never happen between Torah observant Jews, even if only one of them was religious. Because we don’t take down a fellow Jew. We don’t engage in evil speak. It’s absolutely disgusting. Settle the beef in private and move on.
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𒐪
𒐪@SHL0MS·
you have 3 months to create psychic defenses in order to escape the permanent oneshotclass
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stake.link
stake.link@stakedotlink·
What does smart money actually do when everyone else panics and you keep yapping? A 🧵⤵️ Priority Pool just dropped from 400K → 200K! Red flag? Well, it's 120,000 LINK being converted to stLINK for other @ThePriorityPool depositors during market volatility. If you had $LINK in our Priority Pool, you're probably staked now, earning ~4.9% APY. "Oldwhite" (0x4a) - the Chainlink whale who used 150+ wallets to bypass native staking limits - just withdrew 120K stLINK from our Priority Pool. This isn't his first rodeo utilizing @stakedotlink. He sent the tokens to Binance, probably to leverage. He's not leaving. He's positioning. New shrimp users getting staked while the whale leverages = protocol working perfectly. (coindesk.com/business/2022/…) The recent panic created opportunity: stLINK-LINK Curve pool hit $2.2M volume ATH - Now perfectly balanced (50/50) - Near-zero slippage for swaps - LPers earning: swap fees + $SDL incentives + $stLINK yield Arbs bought discounted stLINK. Peg restored entirely. Markets good. Current state? Still 200K+ LINK in Priority Pool waiting to be staked. Why? Because smart depositors know: - Weak hands unstaking natively = capacity opening - We capture that LINK immediately - Positioning for next leg up The queue isn't a problem. It's patient capital. While CT panics, our ecosystem thrives: @Morpho LINK vault: >7% APY just for depositing LINK wstLINK lending market at 90% utilization. Users are: - Earning on LINK - Borrowing against $wstLINK - Leveraging positions (looping) All systems operational. And the most important fact? 1 stLINK = 1 staked LINK in Chainlink native contracts Always. Forever. Verifiable on-chain. Internal exchange rate: untouched. Price on Curve: now restored to peg. Smart contracts don't panic. Plebs like Jason, though, do. $SDL facts: 15 top Chainlink node operators Chainlink Labs owns 7.7% SDL Audits (@cyfrin , @CodeHawks , @sigp_io, @trust__90, @zellic_io) Over 6,100,000 $stLINK minted flawlessly 1 stLINK = 1 LINK. Pool's open. @stakedotlink.
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Jason Parser@FAGFinance

If you are in $SDL or involved in anyway, this post should be a major red flag. Reminds me when they scammed the 3rd time and sold 25% of LPL right before they minted a brand new coin.

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