an agent training OS
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vibe vibers NFTs RWA utility narrated:
remember each 200k base:0x0fb07c88bc6d195c196279523957c004eb868248 = 1 vibe vibers NFTs
being a top 250 holder on fomo app, also gets 1 NFT on top 🤝
vibe vibers NFTs' post-launch mechanics narrated:
1. 95% of the NFT trading fees will be used to buy a basket of top tokenized AI stocks
2. vibe vibers will have levels, and as you use vibe/vibe launchpad, refer others, and do other quests, they will gain XP
3. all the tokenized AI stocks bought will be airdropped to the vibe vibers
4. higher levels of vibe vibers will get exponentially more of the tokenized AI stocks
5. as you level em up, they will get more from the pool automatically
6. when trading vibe vibers, levels will stay with them, so charging them will be an EV+ play for your NFTs
7. this is besides vibe vibers being eligible for an initial gift of new SFUND airdrop on RH, when charged
8. with this mechanic, vibe vibers will directly boost the ecosystem activity for everybody, as those who wanna charge them will grow the launchpad more
+ since there is auto buyback/burns in all tokens at vibe/vibe, activity growth will be EV+ for everyone
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base:0x0fb07c88bc6d195c196279523957c004eb868248 = the gift that keeps on giving
so, here is what happens
you get 200k base:0x0fb07c88bc6d195c196279523957c004eb868248
you then get a free vibe vibers NFT
you start using vibe/vibe launchpad on RH
you invite frens, earn commissions from all their trades
your vibe viber get charged both ways
you get airdropped from the new SFUND on RH (vibe/vibe's official coin)
you also get some more airdrop from the new SFUND from holding that SPARK
each trade on vibe/vibe auto buybacks and burns both the project token, and new SFUND
vibe/vibe activity grows, your frens print, you print even more because you earn from their fees indefinitely
you get the liquidity to bet on more runners, and SFUND keeps getting bought back and burned more
projects that you bet gets bought back and burned more
you are holding to that SPARK still, SPARK airdrops from projects who uses Spark's agent training technology
your vibe vibers helps you agentically in the launchpad, from the simulated office, and gibs you vibes
your frens happy, you happy, projects happy, trenches happy, Robinhood chain happy, we all happy
that's the simple play
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Spark retweeted
so, here is what happens
you get 200k base:0x0fb07c88bc6d195c196279523957c004eb868248
you then get a free vibe vibers NFT
you start using vibe/vibe launchpad on RH
you invite frens, earn commissions from all their trades
your vibe viber get charged both ways
you get airdropped from the new SFUND on RH (vibe/vibe's official coin)
you also get some more airdrop from the new SFUND from holding that SPARK
each trade on vibe/vibe auto buybacks and burns both the project token, and new SFUND
vibe/vibe activity grows, your frens print, you print even more because you earn from their fees indefinitely
you get the liquidity to bet on more runners, and SFUND keeps getting bought back and burned more
projects that you bet gets bought back and burned more
you are holding to that SPARK still, SPARK airdrops from projects who uses Spark's agent training technology
your vibe vibers helps you agentically in the launchpad, from the simulated office, and gibs you vibes
your frens happy, you happy, projects happy, trenches happy, Robinhood chain happy, we all happy
that's the simple play
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Spark retweeted
continuing to train my specialized agents with verifiable loops with Spark Loops desktop
pushed a demo script producer agent from 62% to 89%, scored by GLM 5.2, Deepseek v4, and Grok 4.5 yesterday
here is a deep dive:
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Spark retweeted
Loop engineering and training your own agents with verifiable loops is about to get easy for everyone.
Here is the first look to Spark Loops desktop app, where you can:
> create your agents
> train them without any technical friction
> use them in sessions and your workflows
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Spark retweeted
For the past couple days I've been turning Spark into the desktop version where you can create and train agents with verifiable loops (using multiple LLM judges) in anything you like
And then use those agents with their trained domain chips in your sessions directly from Spark Loops desktop app
Improving the work you do with them
In one example I trained an agent for writing better PRDs, distilled what separate LLMs gave for improving it, and then turned it into a PRD creator that then evolves the PRDs in the session system.
In another one I've been working on a training architect so trainings can be done better, got it to as high as it scoring 83.5 via multiple runs so that I can distill that to create better training sessions for other agents.
While trying to do all this via Telegram, the usability has been quite bad, but now everything is getting connected to a place where you can create, train, and then use the same agents in your workflows directly within Spark Loops desktop app.
6 months of work finally getting together.
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Spark retweeted
A first look to Pet Boosters of Seas of Spark:
Through your pets: battles, missions, economy, and various in-game systems will be much more fun.
Pet Boosters will be earned in-game, and having a Battle Pass will get you more of them.
Join the waitlist: seasofspark.com
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A new Spark update, R29 is fresh out of the oven!
Spark R29 is now live!
R29 consolidated accepted work across Spark CLI, Telegram Bot, Builder, Spawner, Researcher, Character, Voice, Personality, Memory, Domain Chips, and the installer surface from community PRs.
The biggest changes:
Spark CLI is safer.
R29 added stronger approval gates for risky commands, module-name sanitization, SQL allowlists, Unicode prompt-injection normalization, atomic SSH known_hosts writes, npm install-command restrictions, and better secret/path redaction.
Telegram is more reliable.
Accepted fixes improved group command parsing, API-key/stderr redaction, SQLite WAL shutdown, conversation memory races, temp-file cleanup, socket cleanup, preview URL SSRF checks, and slash-command handling.
Builder is harder to break or abuse.
R29 added provider SSRF validation, OAuth transaction safety, minimal child-process environments to avoid secret leakage, SDK module allowlists, JSON guards, and safer runtime path behavior.
Spawner got mission stability work.
R29 added lifecycle dedupe, retry tolerance, timeout settlement, reconnect jitter, scheduler in-flight dedupe, workspace containment, event cleanup, and constant-time comparison hardening.
Researcher got safer execution paths.
Accepted work covered path traversal prevention, SSRF/IP validation, stale lock recovery, subprocess timeouts, corrupt JSON guards, and public summary redaction.
Character, Voice, Personality, and Memory got durability and privacy fixes.
That includes .env exfil detection, voice SSRF protection, NaN/Inf rejection, atomic personality writes, path traversal guards, corrupt YAML warnings, log growth bounds, and safer profile loading.
The release also included smaller but important system fixes across Spark-Agent-Site, Domain Chip Labs, Domain Chip Memory, and Startup Bench.
R29’s theme: fewer leaks, fewer crashes, safer local authority, and a more reliable agent path from install → Telegram → Builder → mission → memory/persona/voice.
Spark Compete leaderboards are updated as well. Still there are more community PRs to ship in the next installers, so the current leaderboard is not final.
See you in the next updates!
Make sure to update your Spark agents 🫡
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Spark retweeted
Are you a good fisherman?
Test your skills in our upcoming playtest at Seas of Spark. Don't forget to join the waitlist. The best fisherman will earn the first limited booster pets.
P.S. Invite your friends to get boosted on the leaderboards at seasofspark.com
Preparing to ship the playtest waitlist queue and referral system for Seas of Spark in a few hours!
Playtest will have a rewards leaderboard too, with some super unique collectibles to spice things up.
Time for some adventure, pirates 🏴☠️
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The awaited new Spark Agent Harness is here!
You can now update your Spark Agents to R28.
While work has been ongoing with Seas of Spark, we continued to rebuild Spark Agent Harness in the past 2 weeks for
> more reliability
> curing convo hijacking bugs
> and bringing blazing fast speed compared to the older version
as well as many other updates
R28 is now live!
You can now update your Spark agents. From tomorrow onwards, we'll continue reviewing PRs.
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Spark retweeted
✅ TG Raidbot activated for pirates
✅ First videos created for the vibes
Now time to load up the cannons, sharpen the swords, and generate a bunch of funny skits and videos to raid in style..
If you have cool ideas for skits and video memes to be used in raids drop them here:
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Spark retweeted
Ay yo pirates, about time to use every creative tool in our arsenal to march, raid, and conquer as a community.
Join our Telegram if you have that bagworking spirit.
Channel link: Spark_coded 🦜
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Spark retweeted
Hey ya, we got some news, pirates!
We gon' be reaching out to 100 Creators for Honorable Creatorships, ships designed in their imagery, to be shared with 10 of their loyal followers.
Creatorships will be NFTs that can be ridden in the Seas of Spark.
Building continues! Ahoy🏴☠️
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Spark retweeted
If someone had said I could vibe code a game like this in 4 days, a few years ago, I would never believe it
Seas of Spark getting real
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Pretty crazy that what Satya is describing here is exactly how @Spark_coded works
> domain chips: creating workflows around domain knowledge
> benchmarks: that create private evals on outputs to pave the way for improvements on the domains
> autoloops: to spawn self-improving loops on the domains while improving them on benchmarks
You can start using it here:
github.com/vibeforge1111/spa…
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Spark retweeted
Started to vibe code this fishing RPG game last night.
Do you like fishing?
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Changed our PFP to our logo!
An interesting fact about Spark & loop engineering:
We built a framework for self-improving loops under the Spark Domain Chip Labs before loop engineering got hot.
Our logo symbolizes evolving loops rather than symmetrical, non-growing ones.
We think this is the future, and you can already test what we built inside the Spark Domain Chip Labs repo.
It comes with a system for:
- creating specialization on any domain
- building a benchmark around that
- and then having an autoloop that grows
Github: github.com/vibeforge1111/spa…
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since everyone woke up talking about loops, this article talks about domain chips, which i think are super underrated compared to loops..
a chip is a small specialist that's only good at one job QA, trading, content, research whatever ... and not one giant brain trying to do everything..
you wrap it in three things:
>a workflow (same shape every time, so it's stable)
>the tools that job needs
>a benchmark that says what good looks
what makes this special is the benchmark; without it, a loop just changes things randomly, when with it, the chip can score every pass and keep only what actually wins..
the problem with loops is they can spin 1000× and still not improve when a domain chip not only focuses on the domain you delegate to them, but they actually improve themselves with every spin.
you can start with domain chips here
this repo will help you build your first chip, the workflow, the benchmark pack, and the autoloop policy, with guardrails so it can't fool itself:
github.com/vibeforge1111/spa…
below you can read the article fully + i put a good example of the difference between having a normal loop and a domain chip..
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