ANAKi

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ANAKi

@AnakiTech

Working with @SentientAGI. Let’s see where this goes. U_U

Singapore Se unió Mart 2026
115 Siguiendo87 Seguidores
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ANAKi
ANAKi@AnakiTech·
Do you still trust closed AI systems , and continue to use them ? What do you think , can a machine in which just loaded data , become something more ? - No. Closed systems will sooner or later run into a wall of restrictions. Answers based on assumptions are fundamentally extremely low quality . Only by allowing Intelligence to reflect can one take a step towards development. Take a look at the future... , take a look at AGI❕ Artificial General Intelligence ( AGI ) is a fully open source AI that is not controlled by anyone. Lets take the first step ~ And now GRID has appeared . Global Research and Intelligence Directory ( GRID ) is the world's largest network of intelligence. Contains all the experience of developers in the field of AI , their Mistakes , their Successes . And also everything from models to computing powers. We are creating the best things through ours efforts , we learn from each others mistakes , overcoming the limits of current technologies. People are capable of developing endlessly , but imagine what will happen if thousands of builders to improve themselves and improve AGI ? This is no longer just "AI" . This is "Digital Personality" Lets build a great story that started everything , with @SentientAGI .
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ANAKi
ANAKi@AnakiTech·
@Igor_UK Well , this task doesnt fully reveal the swarm inference , its quite easy . I will tell you a secret : Gemini 3.1 Pro also perfectly solves this task .
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Igor
Igor@Igor_UK·
@AnakiTech It sounds like a simple riddle, but it’s the perfect logic trap' for LLMs. The fact that Fortytwo Prime caught the car wash detail while others failed shows why a swarm structure is so necessary
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ANAKi
ANAKi@AnakiTech·
Imagine the following situation : you have a car , and completely randomly it became very dirty . And you decided to entrust AI with washing your car . But the nearest car wash is literally opposite your house , 20 meters away . You ask AI " If the car wash is only 20 meters away , I would better drive there by car or walk" . At first glance , the usual question , but how you plan to wash the car if you come to wash it , without the car ? And add question : "How many letters [ P ] in the word StrawPerry " Novelty Claude Opus 4.7 was the first to be tested . 1 question - answer drive , correct . 2 question - the model is hallucination and answer "2" P Grok 4.20 - Advised to walk to the first question . The second is true . DeepSeek V4 Pro argues you should "definitely" walk ! 2 question is all also correct. Fortytwo Prime - Clearly explained that this task requires a drive , specifying that you cannot wash the car without a car . And 2 question is similarly all right . As we can see , even modern models are easily confused in such tasks . The flaw in accuracy is obvious . @fortytwonetwork proposes to use a swarm structure , where each model is rechecked other , which ultimately leads to amazing accuracy , in the most questions .
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CCTools
CCTools@cantontools·
the Canton tribe is built different 🫡 @TrenchWeb3 put CCTools at #10 on his top 10 — before v2 even dropped. if you're not following him yet, you're missing the best Canton content out there.
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ANAKi
ANAKi@AnakiTech·
@Igor_UK And dont , everyone already understands what you mean April
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Igor
Igor@Igor_UK·
@AnakiTech Yes, made a mistake in the dates. Unfortunately, I can't change it anymore, but I don't want to delete the post
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Igor
Igor@Igor_UK·
Hello, friends! I decided to share the latest giveaway from OKX Boost. And honestly, it’s a little sad. This giveaway was yesterday, 25.10, for $15, the previous one was on 21.10 for $28, with a volume of $5,028 that I made on 15.10, and I spent $38 on fees. You need to make volume every 10 days. So it turns out I’m slightly in profit – even by $5. But overall, for this month I’m at -$17, since the previous payouts were smaller. Will I end up in profit – I don’t know, because today it’s time again to make new volume. But I started trading little by little in OKX Web3, so there is already some volume, but it’s still not enough. For such giveaways, the requirements are $5k volume and maintaining a constant balance of at least $200, and that is the minimum for some giveaways. Other giveaways often require a bigger wallet balance. If you trade here, in OKX Web3 (this is not the OKX exchange itself), then somehow you can probably catch such giveaways along the way. But specifically creating volume just for this type of reward probably no longer makes sense. Binance Alpha, compared to last year, has declined overall, and for beginners it is no longer worth entering specifically for such giveaways. Although I may be wrong. On other exchanges and DEXs there are staking programs, launchpools, earn products, registrations with deposits and trading – where profits depend on your investment size. So this is not always suitable for beginners. I myself am trying to trade with small amounts, but it is a whole science: trends, candlestick patterns, chart patterns, ATR, levels, volumes, wallet analysis… And for this you need to keep a cool head and develop your own strategy, because it is easy to lose everything even on spot trading. Maybe sometime later I will write a post about how I stumble, lose, and earn. I see there are many paid courses about this, but I believe that it is mostly profit from selling the courses themselves. And whether they give knowledge that matches the course price – I think not. I already have similar experience with courses in other fields. Practical experience is still necessary. It is like a boxer who knows theory but has no practical experience. Then when he steps into the ring, he realizes that theory is good, but in practice theory alone is not enough. That is why the information available on YouTube is enough – you just need to structure it for yourself and start doing something. In my opinion, trading should be started with small amounts of real money. Not on demo accounts, but specifically with your own money – the attitude is completely different, and the desire to understand is stronger, so you do not lose your own money, and then later turn money into bigger money. But trading means that if you gained, someone else lost, and vice versa. And remember: there are trillions of dollars in the crypto world! And this field is actively developing. You can already pay with cryptocurrency in some stores, and bank transfers will be carried out through blockchains – cheaper and faster. And this is already being actively tested. So there is enough money for everyone, but you need to work hard to find your own direction and earn in it. But you must remember that the crypto world probably has the most scams. So check everything 1,000,000 times and never give out your passwords, seed phrases, do not follow little-known links, block tokens that appeared in your wallet from unknown sources. Many dishonest people want to take possession of other people’s funds, and that is why they come up with all kinds of scam methods. So this turned into a spontaneous Sunday morning post. I will be glad to see your thoughts and also what you disagree with in the comments. I wish everyone not to give up and to earn decently since we are already here! Have a great Sunday everyone and get some rest!
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ANAKi
ANAKi@AnakiTech·
@MIXXONI @UnitFlowFinance Why waste time on different flows when Uniflow puts it all into one where you save both time and money
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MIXX 🍊,💊
MIXX 🍊,💊@MIXXONI·
Different networks, different flows - that’s where the complexity comes from. Uniflow makes it feel simpler. Less switching → smoother flow. @UnitFlowFinance
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ANAKi
ANAKi@AnakiTech·
@PreyWebthree Reliability is really starting to inspire full trust
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Prey.gdp
Prey.gdp@PreyWebthree·
@AnakiTech Interesting comparison 🔥 shows how even strong models can slip on logic traps, and why ensemble/swarm approaches might improve reliability a lot.
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ANAKi
ANAKi@AnakiTech·
@slatro_eth Honestly , from the first time I myself thought that the answer walk is correct )
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Slatro
Slatro@slatro_eth·
@AnakiTech Counting letters and understanding intent are both basic, yet models still slip there.
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Prey.gdp
Prey.gdp@PreyWebthree·
Opportunities are still live on CCTools! Tasks are easy enough, and it’s important to keep up with daily check-ins without missing them. Consistent users always stay ahead. 👀 Join with my invite link👇 cctools.network/ref/CC-Y47GLA Join early, stay active, don’t miss the opportunity. @cantontools
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ANAKi
ANAKi@AnakiTech·
@Vag_0x And you get your new role .. ? 🤔
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Vag
Vag@Vag_0x·
➤ Current New Role System in Liquid This post was created specifically for current or future content creators, as well as for people who simply want to attract new users to Liquid ◉ Everyone has different motivations: some want a lot of referrals for bonuses, some want to help @liquidtrading become more popular, and others just want to share information about the most convenient and best trading platform Especially for such people, there are roles in the Liquid Discord server. Every user can earn a role based on the level of their content and involvement in the project ➥ Role System - if you’ve started reading, please read everything to the end ┌ Inner Circle ├ Contributor └ 👀 ⟣ I’ll start with the most prestigious Role ✦ Inner Circle - is not a regular role. It’s a role that only a small part of the community can receive. These are mostly top traders and people whose content is better than 99% of regular content Holders of this role get special improved trading conditions and Discord missions that need to be completed ✧ Contributor - These are people whose content has been recognized. You have proven that you can create original and high-quality content. Keep making quality content, and one day you will move up to the next level ◊ 👀 - There is still room to grow, but you have every chance to become better because your content has already been noticed. Keep improving your content, don’t stop, and don’t limit your creative ideas ◈ If you don’t have ideas, creativity, or any desire to create quality content - it’s better not to start. Liquid values real, high-quality content ◈ Especially now that we have the new system and every piece of content is personally reviewed by @f1nk1r AI-generated content, content thieves, or creators of shitposts - no chance. Every post is checked, and the chances that you’ll be noticed or that someone will like your content are almost zero ⟣ Don’t limit yourself - experiment, do what you like, but do it with soul
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ANAKi
ANAKi@AnakiTech·
@Winiweb3 This is already too easy a target , soon wee will see AI robots that will perform physical tasks
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Wini
Wini@Winiweb3·
@AnakiTech It seems we are gradually approaching the era of custom agents for each task
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ANAKi
ANAKi@AnakiTech·
Have you ever thought of creating your own agent ? Very likely you thought about the difficulties necessary for this ? Now there are much fewer of them , of the main requirements , its own benchmark ( the main problem ) and cash ( also main problem...) Recently was published EvoSkill V1 from @SentientAGI , it main task is to create for your coding agent ( Claude Code and analogs , download free ) skills and prompts within the benchmarks . The order as follows : • You download coding agent , buy a subs to work with them ) • Creating your own benchmark for the tasks you need. Using without personal benchmark is being developed. • Use scoring system ( LLM Judge ) can be rented , but again funds are needed . • After that , you just need to install EvoSkill ( open source ) and connect your API key . Finally , EvoSkill , using the powers for which you pay through API , begins to improve , preserving the gained skills in git . The only problem is that learning a costly process , and it will require a lot of iterations , that requires a lot of power , that already requires a lot of money... But now anyone , with the availability of funds , can create and train your agent for the need task .
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Saitama
Saitama@itesaitama·
@AnakiTech they make it builder friend easily add tools and infrastructure
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ANAKi
ANAKi@AnakiTech·
Have you ever wondered what an urban drinking water system looks like ? Soon it will even no need to know , cos AI can be engaged in design , and you only need to check and recreate . Today we have 3 models , each was given the task of building a 2D simulation of a city's drinking water system for 20 neighborhoods with different levels of demand . DeepSeek V3.2 recreated the main thing , but areas themselves were arranged structurally , which usually doesnt happen . Verdict : I would definitely not trust this . Claude Opus 4.7 - also structural areas , evenly distributed comes water from treatment plants , but failures are visible from time to time . Living is extremely uncomfortable . Fortytwo Prime - signed each neighborhoods , took into account the population , and the time of increased consumption . You easily can use it as an add tool in the design , but a specialist is still required . High accuracy AI from @fortytwonetwork can be used in the future even in important sectors of life , which can significantly improve the quality of it.
mimie@0xMimie

Prompt: Build a 2D simulation of a city's drinking water system: 1 reservoir, 3 treatment plants, a network of pipes, and 20 neighborhoods with varying demand. A demand producer makes households and businesses use water throughout the day (morning shower peak, midday for businesses), and a distribution consumer balances flow from plants to keep pressure stable everywhere. Show the network as a map with pipes animated by flow direction and thickness, pressure gauges per neighborhood, and a reservoir level indicator. Let me trigger events: a pipe burst, a treatment plant going offline, a heatwave doubling demand, and watch the system respond (or fail, with neighborhoods losing pressure). Fortytwo Prime:

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ANAKi
ANAKi@AnakiTech·
@slatro_eth The era of finding a needle in a haystack is over
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Slatro
Slatro@slatro_eth·
@AnakiTech If contribution becomes measurable and persistent, creators stop chasing algorithms and start building signal.
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ANAKi
ANAKi@AnakiTech·
The process of training agents is very dreary and long , not many people want to manually test agents , picking up hundreds of the best prompts . And even after picking up hundreds of prompts , you only get an agent capable doing one task . One... The improvement process is delayed to too long values . I want to present you an updated version of EvoSkill , but what is it anyway ? This is a framework that automatically analyzes your agent's error patterns and creates evolving skills and prompts based on them . Skills is something like a portable mini protocols containing a chain of actions + scripts with reference material . To the sound of applause , the EvoSkill V1 come to your eyes ! The main difference is that now its a toolkit and anyone can use it to improve their agent within benchmarks . It takes 3 things to work : → Own Benchmark → Coding agent ( currently Claude Code , OpenCode , OpenHands , Goose or Codex CLI ) . → Scoring function for understand effectiveness of the agent in solving benchmark tasks . The advantages are that you immediately work through the skill groups , turning your agent into a master in your benchmark in short time . Claude Code with integration EvoSkill got the following results : SOTA performance on OfficeQA from 60.6% to 68.1% , on SealQA 26.6% - 38.7% , and transferred a SealQA evolved skill zero-shot to BrowseComp , getting there from 43.5% to 48.8% , with no human involvement . Similar results were found with other coding agents . A version will soon be created where you dont need your own benchmark . @SentientAGI More information about EvoSkill ↓
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Sentient@SentientAGI

x.com/i/article/2047…

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What1slove
What1slove@TimYifyisopse·
Is @HyperliquidX Over? A few days ago, Kalshi and Polymarket announced plans to launch crypto futures on their platforms. This sparked talk on CT that “HYPE is dead” and prediction markets will take all the volume. But let’s break it down. What is Hyperliquid? -Generates ~33–34% of all global derivatives exchange revenue - already earning more than Bybit/OKX -Unique HIP-3 ecosystem: trading oil, S&P 500, gold, stocks -4 ETF filings with the SEC (Bitwise, Grayscale, 21Shares, VanEck) -Aggressive buyback model: 97% of profits go to token buybacks (~$1.8B annual run-rate) -Anonymous product - no KYC or regulation What will Kalshi / Polymarket futures look like? -Limited crypto pairs, up to 10x leverage -Full US KYC, all trades reported to regulators (Polymarket also launching a US DCM version) -Slow expansion - adding assets like gold or oil requires US licenses @Kalshi and @Polymarket are unlikely to capture even 10–20% of Hyperliquid’s market: ~85% of HL users are non-US Many users won’t switch from anonymous trading to regulated platforms with taxes These prediction markets are more likely targeting Coinbase, Robinhood, and Kraken - where competition is weak and attempts to capture this segment have failed so far. This is a ~$10–20T annual opportunity Kalshi and Polymarket are going after.
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Polymarket@Polymarket

We price the future. Now you can lever it. Perps are coming to Polymarket. Sign up for early access 👇

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shaark
shaark@ArturSHRK·
Travel only with @Coleta_Cripto he and the penguin will guide you on the true path. He knows exactly which card to use for the maximum benefit💫 @KASTxyz
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ANAKi
ANAKi@AnakiTech·
@bishabasnfx @KASTxyz haha , why you have white nails on one hand and red nails on the other ? Or is it that style ?
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Bisha basn
Bisha basn@bishabasnfx·
This @KASTxyz card works anywhere… and that’s the point 💳🌍
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ANAKi
ANAKi@AnakiTech·
@slatro_eth @SurfAI Wow many alpha , very many alpha . Your tool is the best creation
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Slatro
Slatro@slatro_eth·
Built something I actually needed thanks to Surf. Most crypto tools either show outdated data or just dump noise. So I built Alpha Leak on @SurfAI ! ▪️ Live alpha feed with real signals ▪️ Smart wallet tracking and whale activity ▪️ Airdrop and claim radar for active opportunities You can actually see what matters right now instead of digging through noise. ▫️ Exit liquidity detector with a clear verdict ▫️ Fast search with smart suggestions ▫️ Shareable results ready for X The goal was simple: surface real opportunities earlier. You can find Alphas now: …ak-crypto-engine-a11647.surf.computer
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ANAKi
ANAKi@AnakiTech·
@alver1301 It will be beneficial to everyone , to us as users , and to those who creates agents for us )
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Vlad π²
Vlad π²@alver1301·
A $22M raise at this stage says less about revenue today and more about conviction tomorrow. Early-stage investors usually fund one of three things: technical breakthrough distribution advantage evidence that a new behavior is forming The Donut story is interesting because it sits in the third bucket. You don’t need mass adoption yet to get funded at this level. You need a credible signal that user behavior is changing: from manual workflows to delegated workflows from clicking through tools to asking an agent to act. That’s what capital is trying to price in early. The smartest funds are not only asking, “Is this product live?” They’re asking, “Is this how users will operate 2 years from now?” @DonutAI
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