Expert in handling and managing extreme volatility and immense mastery over emotions and self control.
Joined March 2022
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Back to posting Arc plays — tokens I’ve got my eyes on:
$TOLLY — Launchpad with solid backers @TollyLabs
$ARCHITECTS — First OG Arc meme @arc
$ARGUS — the next Pons on Arc @Arguspad
Recently pivoted to @KyberNetwork — best rates right now. Trade: kyberswap.com/swap/arc
Hyper retweeted
In the next 12 months, the crypto industry will see an incredible pool of talent go live with venture ideas.
Founders who demonstrate commitment to the industry in very challenging times, think outside the box, dare to try new things and have a decade plus of experience in crypto, are naturally going to be resilient, long-term players (perfect for venture) as opposed to short-term players pouring in when times are good and everyone is making money.
Crypto is not going anywhere. It’s actually the best time to be building with original ideas right now.
If you can align your thesis with the right VC and raise enough funds to prove PMF to get to the next round, it’s a phenomenal time to be optimistic. You’ll also team up with people who are committed to the cause and in it for the right reasons.
I have really enjoyed seeing who is still dedicated to the industry this year. Some incredibly talented researchers and engineers are still floating around experimenting with ambitious new ideas.
This cycle will look nothing like previous cycles. We will have an entirely new economic actor transacting onchain (AI agents). There is a massive opportunity to rebuild the stack and applications on top from first principles.
Don't miss the forest for the trees.
Hyper retweeted
Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision.
The longer and more complex the task, the larger Fable 5’s lead over our other models.
ALT Benchmark table titled Mythos 5 & Fable 5, comparing Claude Mythos 5 and Fable 5 against Claude Mythos Preview, Claude Opus 4.8, GPT 5.5, and Gemini 3.1 Pro.
Hyper retweeted
what is agent looping
for the last two years we prompted agents one task at a time. that is starting to change
instead of asking an agent to build the landing page and then driving every step yourself, you set up a loop that handles discovery, planning, the work, checking, and iterating until the goal is met
looping is a setup you build. almost any agent harness can run it, it just depends on how you wire it up
at its simplest, looping is one agent working on itself:
> researches
> drafts
> checks the draft against a goal
> fixes what is weak
> runs that cycle again until the work clears the requirements
you are not prompting each step anymore. the agent repeats the cycle for you
the bigger version is a fleet looping. you give an orchestrator agent a goal, it breaks the goal into pieces, hands each piece to a specialist agent, and those specialists hand smaller jobs to their own subagents
the whole tree keeps looping through discovery, planning, execution, and verification until the goal is met
one agent looping is like a person redoing their own draft. a fleet looping is a whole team running a project end-to-end
you create a goal, and the system runs the loop until it finishes within the reqs you set
open and closed looping:
OPEN LOOPING is exploratory. it still has conditions and a goal, but you give the agent or the fleet a wide space to move in. it can try different paths, discover things, build something you did not fully spec out
this is the exciting end, it is what Peter and others are doing, and tbh it is where I want to spend more time
the catch is cost, an open loop with real room to explore burns an insane amount of tokens. for the 90 percent of people without an unlimited budget it is not runnable yet, and pointed at projects with a loose standard it turns into a slop machine
CLOSED LOOPING is bounded. a human designs the end-to-end path first:
> clear goal
> defined steps
> an eval at each step
> a point where it stops or hands back to you (and feeds back performance data)
the agents still loop, but inside framework you built. it gets better every run because each pass feeds the next, and it runs on a normal budget because the path is tight.
for most marketing work, closed is the one that pays off today.
> the orchestrator owns the goal
> the specialists own the steps
> the subagents do the narrow work
> an eval gate make sure its not slop
Hyper retweeted
i rarely if ever truly prepare for anything anymore.
at some point, your entire life either becomes the preparation or it doesn’t.
& if the accumulated pattern of how i think, work, notice, respond, synthesize, improvise, & stay calm under pressure hasn’t prepared me for the thing in front of me, i doubt a few frantic days/hours beforehand are going to save me.
i find it way more useful to just breathe & not think about it too much.
Hyper retweeted
I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!
