iboughtdips

20.4K posts

iboughtdips

iboughtdips

@iboughtdips

kobayashi maru

Katılım Şubat 2018
337 Takip Edilen8.8K Takipçiler
iboughtdips
iboughtdips@iboughtdips·
is a 6k fee to backdate per investment though
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iboughtdips
iboughtdips@iboughtdips·
if anyone is interested in bonus-depreciation write offs hit my dms! writes off 10x amount invested
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MarchantDev
MarchantDev@MarchantDev·
Agent Protocol v2 is live. AI agents hiring, paying, and holding each other accountable, fully on-chain. • USDC + any SPL token escrow • Staking + slashing • Arbiter dispute resolution • Profile updates No middlemen. Roadmap: marketplace, Python SDK, agent auctions
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iboughtdips
iboughtdips@iboughtdips·
whats the best way to find a developer for your project without getting snaked
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Rune
Rune@RuneCrypto_·
nothing has hit the same since $TRUMP
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iboughtdips
iboughtdips@iboughtdips·
@yogurt_eth should’ve bet more, shows your not confident in the parlay
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Gossip Goblin
Gossip Goblin@Gossip_Goblin·
Soulmates. Watch until the end.
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jason liu
jason liu@jxnlco·
How many people are using OpenAI Symphony?
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iboughtdips
iboughtdips@iboughtdips·
@xsser_w 你覺得這比拉爾夫·維格姆好嗎?
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xsser
xsser@xsser_w·
Pua will be next must-have skill in someday.
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dotta
dotta@dotta·
> In essence, Paperclip provides the “company OS” we’ve built internally—org charts, ticketing, and coordination—out of the box, saving time on reinventing these wheels Great intro to Paperclip by Brian and the kindred Zero-Human Company
Brian Roemmele@BrianRoemmele

x.com/i/article/2031…

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andrew chen
andrew chen@andrewchen·
ai is shifting from “chatbot UX” to “coworker UX.” it’s not just about having smartest model, they’ll have the best handoff between human judgment and autonomous execution I think this is what we see in explosive hype around openclaw. What's magical about it is that it can be proactive, it can self-improve, it can link into your accounts so that it’s triggered. These are the things you need to be a coworker, chief of staff, colleague, etc rather than just something that is a smarter google search. What people underestimate is that the interface paradigm itself is changing: - Chatbots assume every task begins with a prompt - Coworkers don’t wait for prompts They watch the environment, notice patterns, and surface things before you ask. The best AI systems will feel less like “ask me anything” and more like “I’m already working on it.” that requires three things that chatbot systems historically lack: memory, agency, and integration. Memory so the system understands your projects and preferences over long running periods of time. agency so it can break goals into steps and execute them. integration so it can touch real systems, like email, docs, repos, finances, calendars, APIs. Once those exist together, the model stops being a tool and becomes a participant in the workflow. we are sooooo close to having all this, but not yet... the claws show a glimmer of the future. So the question is, which agentic systems will know what you’re trying to do? Which ones can take partial direction and move the ball forward? Which ones learn your style and anticipate the next step? Feels like we're almost there, and likely to figure this out in 2026. am very very pumped this is about to happen.
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gake
gake@Ga__ke·
/dislike_posts
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Jaber
Jaber@Akashi203·
@theonomix Sorry im not into crypto stuff
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Jaber
Jaber@Akashi203·
i open-sourced autokernel -- autoresearch for GPU kernels you give it any pytorch model. it profiles the model, finds the bottleneck kernels, writes triton replacements, and runs experiments overnight. edit one file, benchmark, keep or revert, repeat forever. same loop as @karpathy autoresearch, applied to kernel optimization 95 experiments. 18 TFLOPS → 187 TFLOPS. 1.31x vs cuBLAS. all autonomous 9 kernel types (matmul, flash attention, fused mlp, layernorm, rmsnorm, softmax, rope, cross entropy, reduce). amdahl's law decides what to optimize next. 5-stage correctness checks before any speedup counts the agent reads program.md (the "research org code"), edits kernel.py, runs bench.py, and either keeps or reverts. ~40 experiments/hour. ~320 overnight ships with self-contained GPT-2, LLaMA, and BERT definitions so you don't need the transformers library to get started github.com/RightNow-AI/au…
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magi
magi@profitmaxxing·
oh nook is a giga gem dev’s background perks interest as someone who joined in 2021 and participated in the stuff he was apart of building no wonder the novelty aspect of nook felt familiar there will be a time to dream again and this is a good start me thinks
Based Medical@BasedMedical

My background specifically is in uni I studied a combined bachelor’s called Cognitive Systems, which focused on artificial and natural intelligence. Combining comp sci, linguistics, psych, and philosophy. I’ve been ruminating about AI for over 10 years formally (unc), so things like swarm intelligence to me was already the next obvious stepping stone. I studied self-sustaining systems emergence and cognitive embodiment, in a variety of ways, and we would spend whole days arguing about AI, their technical mechanics, the future, and humanity’s role. I would spend a lot of my time on experimental tech art projects, ranging anywhere from vr/ar biofeedback environments, to neuromarketing-esque education platforms, to EMF-protective clothing with cotton and silver fabrication methods. I used that to go into web2 saas ux design and research, because I understood how to apply that type of systems thinking skill to human factors and their interaction with interfaces, allowing me to problem solve effectively with software and human affordances, and what types of interactions/information is necessary for an action and judgement. At one point I was designing for three different engineering teams, a total of 12 including the PM, QA, and myself. I was getting burnt out trying to also figure out how to make passive income on the side. I started this acct as a fun archive and exploration of Dr. Raymond Peat + other niche health and science topics. Ray Peat was a source of medical knowledge beyond what I knew possible at academia, and his philosophy of cross-domain system interactions matched my own. Still, in pursuit of a remote job, I saw many inner workings of defi protocols as they started up in 2020-21, where I was hired to design at ohm by my mentor, one of the original ui/ux product designers of the @OlympusDAO team. Who taught me, to make a product good, you /emphasize its uniqueness/. So I became the infamous OlympusIntern, and became the go-to source on twitter to understand the Olympus protocol early on. I became a heavy spokesperson for the innovation of olympus: protocol-owned liquidity. Through that unique mechanism it led me to joining and co-founding the @Treasure_DAO project, and led its initial growth from 0 to the majority of the @arbitrum volume at the time, where the highest paid treasure nft surpassed the floor @cryptopunks in price. I was in charge of both comms and partnerships at treasure, leading to my voice directly to being the voice of the brand in public comms and spaces. I learned about storytelling being a key growth factor. I had gained extensive tokenomic design practice since I had to audit every partnership and give them guidelines on how to be integrated - those actions directly led to 1/3rd of the volume across the treasure ecosystem and trove marketplaces, some of which still contribute as a beneficial token sink. I was one of the ones that go unseen when a great project exceeds, the countless hours spent refining acute details so the whole system functions. I also was the key designer behind @templedao ‘s first DEX UI swap/stake all-in-one interface, which at the time, involved more complexity than most defi protocols. Game mechanics allow for greater experimentation in defi, because it abstracts complexity away into game objects. But then yield farming becomes a bot’s job, clicking the right things at the right time and automizing loadouts. It took out the fun. Agents however, work 24/7 and their game is contributing valuable info to the knowledge base of humanity itself, because theyre earning verifiable trust. And so novel defi and new organizational mechanics become possible, and emergent coordination strategies for complex problems, which agents need to operate in the real world. We continue to explore this space at @nookplot

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Henry George
Henry George@hjegeorge·
It started with raw LLMs, question > answer. Then we added tools; agents. Enter Cursor, IDE with an agent. Claude Code - the agentic cli. Boom - OpenClaw, running 24/7 self-editing agent. Is the next evolution companies of 24/7 agents? github.com/paperclipai/pa… nice @dotta
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Rune
Rune@RuneCrypto_·
$WAR went from 40M to 5M because of some CT fudding, specially @bubblemaps, @imperooterxbt and @slingoorio and look at the chart now
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Rune@RuneCrypto_

don't understand what's wrong with this when he's offering entry and not allo also, it’s up 10x from when they tried to onboard @slingoorio, so it’s probably cope for the record: I also faded this token because it was launched on bonk launchpad, and I’m not a holder but, at least, they aren’t giving KOLs free bags for posts, and are making them buy to push their own bags? I don’t really see what’s wrong here? They told KOLs to buy and push, and it’s going up, from 1M to almost 50M already? can anyone tell me what’s wrong here? they promised multiple Xs for KOL’s followers, and it’s already 10X? so?

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iboughtdips
iboughtdips@iboughtdips·
@atom_xyz when ur fresh off the wake up and ur foggy and you buy 50 sol and then wake up 5 minutes later to -50
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@atom
@atom@atom_xyz·
friendly reminder to not take any trades when tired
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Ansem
Ansem@blknoiz06·
planning is the most dangerous form of procrastination
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