xLint insights retweeted
Why I chose self-custody, and why I chose Tangem ๐
'Not your keys, not your coins', used to hear it all the time, but start to make sense when I realized leaving crypto on an exchange means trusting someone else with my money.
Self-custody means Iโm in control, thatโs why I chose Tangem.
There are no batteries to charge, no cables, no complicated setup. I can easily tap to my phone to sign for purchases.
Video shows how easy it is. I set it up, see how cools the interface
What I like most:
โ
No batteries, so it's always ready when I need it
โ
Durable and fits in my wallet like a bank card
โ
Easy to use, even for beginners
โ
I hold my own keys, with no middleman
Self-custody doesn't have to be hard, and Tangem proves it.
Watch how it works ๐
@Tangem #WhyTangem
xLint insights retweeted
Honey Isles(@HONEYISLES_ ) is building a calm 3D beekeeping game on Robinhood Chain. ๐
No PvP. No fighting. No pressure to compete.
Just floating islands, bees, hives and honey production.
But there's more to it than collecting honey.
I went through their website, FAQ, airdrop rules and official announcements.
Here's how the game works, how its economy is designed and what you should know before getting involved.
๐งตโผ
xLint insights retweeted
I'm The Unfoolable on Spot the AI Trap, Safety Score 98/100.
"Tricksters have quietly added you to their do-not-contact list." What's yours?
ai-safety-score.apcollectiveโฆ
AI scams are getting scarily good, voice clones, deepfake support calls, look-alike messages.
This 60-second quiz actually makes you face them.
Biggest reminder for me: slow down before you click, share, or approve anything.
Appreciate that @MEXC is taking user security seriously and building tools like this instead of just talking about it.
Can you beat my score? @JackpoT_LFG
Take the quiz and get your own card: ai-safety-score.apcollectiveโฆ
AI scams are getting harder to spot than the real thing
We built the AI Safety Score with @MEXC to test how safe you really are
Try it now: ai-safety-score.apcollectiveโฆ
xLint insights retweeted
I built Mira, an AI assistant that lives in iMessage.
Send a question, a link, or a photo of a paper. Mira can:
โข Answer everyday questions and explain topics
โข Research current information and read webpages you send
โข Read paper images and use them to guide research
โข Share source links when you want to verify the findings
โข Turn research into essays, reports, literature reviews, tutorials, study guides, outlines, and proposals
โข Brainstorm, plan, and revise while keeping the conversationโs context
โข Generate images from a prompt for your research and send them in the chat
โข Research almost anything, tech, news, sport, history, name it all....
โข Acknowledge your message with an immediate ๐ Tapback
Research, writing, and creative help, all in the conversation. Built on Photon(@PhotonHQ)
xLint insights retweeted
This is free catch if you want a free ai chatbot + agent.
The AI landscape is moving from simple text generation to autonomous task execution.
And benchmarking these models requires entirely new infrastructure.
If you want to know how frontier models actually perform in the wild, beyond corporate marketing benchmarks, Arena AI(@arena) is a testing ground worth watching.
Hereโs how the platform evaluates AI models and agents through real-world, human-preference testing.
โ๏ธ Battle Mode
This is the core engine behind Arena AIโs crowdsourced Elo leaderboard.
You submit a complex prompt, and two anonymous AI models attempt to solve it simultaneously. You compare their reasoning and final outputs, then vote for the better response.
Only after voting are the models revealed.
Why it matters: Blind, head-to-head testing reduces brand bias and lets human preferences shape the rankings instead of relying solely on static benchmarks.
โ๏ธ Side-by-Side Mode
Also known as Compare Mode, this is designed for developers and researchers who want targeted evaluations.
You select two specific models and give them identical prompts.
This makes it easier to compare their performance on tasks like:
- ๐ป Coding and debugging
- ๐ง Reasoning and problem-solving
- โก Response quality and speed
- ๐ ๏ธ Workflow execution
Instead of testing random models, you control the comparison.
๐ฌ Direct Mode
Sometimes, you don't need a competition. You need to work with one model.
Direct Mode provides a standard one-on-one chat experience, allowing you to test a model's usefulness, conversational consistency, and ability to handle extended interactions.
It's a more focused way to explore how a model performs in everyday use.
๐ค Agent Mode
This is where things get particularly interesting.
As AI evolves from answering questions to executing complex, multi-step tasks, Agent Mode focuses on evaluating agents across longer workflows.
Rather than judging isolated responses, it examines how an agent performs throughout an extended interaction.
Key capabilities include:
๐น Dynamic Workspaces: Upload files, connect GitHub repositories, and work on multi-step tasks within a dedicated environment.
๐น Hidden Model Identities: The underlying orchestrator's identity remains hidden, keeping evaluations focused on the experience rather than the brand.
๐น Behavioral Signal Tracking: Agent evaluations can consider signals such as task completion, user satisfaction, responsiveness to corrections, recovery from failed commands, and attempts to use nonexistent tools.
๐น Long-Running Workflows: Evaluate how well an agent maintains continuity and makes progress across extended tasks.
The big shift? Evaluating AI agents requires more than measuring the quality of a single answer. You need to assess whether they can actually get the job done.
๐ง The Bigger Picture
Traditional benchmarks tell us how models perform on predefined tests.
Human-preference leaderboards show which responses people prefer.
Agent evaluations go a step further by examining how AI systems behave while completing real tasks.
Each approach measures a different dimension of capabilityโand none tells the whole story alone.
The future of AI benchmarking isn't just about which model gives the best answer. It's about which system can reliably deliver the best outcome.
And that's why platforms like Arena AI deserve attention as the industry moves toward autonomous agents.
The real catch is that it's free, I mean completely free, even though you used complex model that wouldnt have been free
You can build a whole lots without worry about limit or quota
Try it arena.ai
xLint insights retweeted
I just hit number #2 on @OrbitPerps exchange leaderboard
I loose half of my bags though, but I'm positioning for the campaign to buy my bags back
Wanna position too ?
> navigate to trade.orbidex.app
> deposit some bags
> trade the trenches
> hit the leaderboard
> qualify to win for #orbittrade$2500campaign
> win and enjoy
see yah
Our first trading campaign starts Monday with $2,500 up for grabs. Whoโs ready? ๐
trade.orbitdex.app
xLint insights retweeted
W/ this week
rn i shouldn't foolishly go back to zero again, it's damn hard to start from zero fr so therefore
โ I'm positioning for Orbitdex(@OrbitPerps) trading reward, I don't know how to trade shit, so I will just multi swap from usdc to usdc on sol chain creating the damn volume (over $2500 in reward)
โ I'm positioned for Doge(@DogeOS) grand hiest testnet in the v3 wallet, hodl my #1
โ I'm as well positioned for Polyester(@polyester) testnet, no promise incentives has been announced yet but the project is solid and backed by good project, we might get rewarded
โ I'm equally positioning for Elysium(@Enter_Elysium) testnet, no incentive has been announced, but they are building on Hyperliquidity(@HyperliquidX) so I'm definitely participating
โ rn looking forward to receiving testnet code from my g @JackpoT_LFG to participate early in Spout Finance(@SpoutFi) invite only testnet, they are backed by solid both solid projects and founders
time to lockin' hard
see y'all on the winning side
xLint insights retweeted
Different wallets, gas on multiple chains, bridges, depositsโฆ then maybe you get the token.
@justhootfun Intents flips it: state what you want, connect the wallet you already use, and let the system handle the rest.
Real product, real flow.
Watch how it works.
xLint insights retweeted
Bitcoin is getting its own native launchpad & swap
No new chain
No bridge
Just pure Bitcoin + RGB
Meet (DarkHorse)@RGBHorse, Bitcoin-native RGB Launchpad & Swap, built on RGB v0.11.1.
xLint insights retweeted
xLint insights retweeted
Join me on Orbit(@OrbitPerps)
Trade crypto, stocks & more with up to 100x, self-custodial perps.
Use my link:
orbitdex.app?ref=GREAT
Referral reward week is live, $250 SOL up for grabs!
Don't know how to navigate the site? then follow up closely
๐งต๐ชก
Read till the end
Referral reward week starts NOW! ๐
$250 SOL up for grabs (5 prizes). ๐
The task is simple:
1. Like and repost this.
2. Go to trade.orbitdex.app/rewards/aโฆ.
3. Generate your referral link.
4. Make a post on X sharing your referral link.
5. Drop your post link and Solana address in the comments. ๐
A launchpad where anyone can cook a token in minutes. No code, no presale, no team allocation.
@cookafun just opened early access.
cooka.fun/?ref=great_mujey
nitter.gq/cookafun/status/210418โฆ
xLint insights retweeted
Replying to @placebocoinfr
@placebocoinfr MEME CONTEST ENTRY.
$PLACEBO is a healer.
xLint insights retweeted
1/7
AllScale (@allscaleio) is a self-custody stablecoin neobank for global businesses, freelancers, and AI agents
Invoicing, payroll, checkout, and payment rails uses passkeys instead of seed phrases
Backed by @yzilabs and @animocabrands
xLint insights retweeted
Pull up any wallet that's ever joined a token sale
you'll see everything:
โธ how much they paid
โธ when they paid
โธ exactly what they walked away with
permanently, publicly tied to one address with no privacy
that's not a bug, that's how every sale on @solana works today
@venuodotfun changes one piece of it๐งต
๐ค Paid partnership ยท ๐ค Made with AI
The Clues lead to this exact message of wickworm where transparency is used in dealing with the community and it's whole activities
@WickWormCoin
This Post is from an account that no longer exists. Learn more
xLint insights retweeted
๐ช $MUNCH MEME CONTEST IS LIVE! ๐ช
Got a meme that can make the whole community hungry? ๐ Time to show us what youโve got.
๐ $20 PRIZE POOL
๐ฅ 1st โ $10
๐ฅ 2nd โ $5
๐ฅ 3rd โ $5
How to enter:
โข Join our Telegram
โข Follow @Munch__Coin
โข Like & RT this post
โข Drop ONE meme entry under this post
โฐ Contest runs for 7 days!
The team will select the 3 winners based on creativity and quality.
MUNCH. HOLD. REPEAT. ๐ช๐ฐ
Let the memes begin. ๐
My meme collection for @Munch__Coin meme contest
๐ค Made with AI
xLint insights retweeted
MUNCH MEME CONTEST FINAL HOURS! ๐ช
โฐ Entries close TODAY at 6PM UTC!
If you havenโt dropped your best $MUNCH meme yet, now is the time. ๐ฅ
๐ $20 in prizes
๐ข Post your meme + tag @Munch_Coin
Get creative. Make it funny. Make it MUNCH. ๐ช
6PM UTC. No extensions. Whoโs taking the W? ๐ฅ
my submission for @tombhoodxyz meme contest
Hold $tbh and see the real outcome
๐ค Made with AI






























