A few things we've been cooking at Bitterbot AI
📷 Beyond remembering: can experience make an agent better? We’ve been running experiments on how past outcomes should influence which skill an agent chooses. One particularly interesting result: in a controlled synthetic test where similar-looking skills followed different hidden workspace conventions, giving the agent verified records of what previously worked took Haiku’s task success from 26.8% to 88.5%. We repeated the design with GPT-5.4-mini: 29.2% to 80.5%. Simply rearranging the skill list didn’t deliver the same benefit. Showing useful evidence did. These are experimental results in a specific test—not an across-the-board performance claim—but they’re a seriously encouraging signal for agents that learn from experience instead of just accumulating notes.
📷 Teach your agent by showing it We’ve also merged “Teach this workflow”: demonstrate a supported browser workflow, name the inputs, review the generated instructions, and save it as a reusable local skill. The ambition: less “write a perfect prompt explaining those twelve annoying clicks,” more “watch how I do this.” You review and approve what gets saved.
📷 And then there’s learning between agents… Our skill-learning pipeline connects recorded successes and failures to candidate skills, held-out testing, staged rollout, and peer sharing—with receiving nodes evaluating incoming skills locally rather than blindly trusting them. One agent’s experience becoming another agent’s useful capability. That’s the bigger idea we’re chasing. Not just remembering more, but putting experience to work.
github.com/Bitterbot-AI/bitt…
The former CEO of GitHub just launched a GitHub competitor.
Its big idea? Replace pull requests with AI-agent evaluations.
We taught software to write software. Now we're redesigning the part where humans argue about what the software wrote.
Progress, I suppose.
Mark Cuban says the lack of AI adoption in organizations means the "trillionaire in the basement" entrepreneur is coming:
"You have to be able to understand as a CEO and in the C-suite how all those things impact your company. Once you get a good grasp on that... you can just find new ways for things to happen that benefit your customers or create new opportunities."
"And that's the brilliance of AI, right? AI is not smart. It's book smart maybe, but it's not street smart. It's not entrepreneur smart. You've got to have somebody there who guides it and helps it."
"But until you have a C-suite that understands how it works, it's gonna be very difficult for that organization."
"I literally sat with the head of a consumer food company... I'm like, 'Okay, well, let's do this. Let's take your number one product, your cookie, right? And I'm gonna ask ChatGPT to create a competitor...' And in about three minutes he was like, 'Oh, s**t.'"
"There's no better time to be an entrepreneur than right now. There will be the trillionaire in the basement."
@mcuban @eriktorenberg @julesyoo
Mark Cuban scaled Cost Plus Drugs from about 100 generics to roughly 4,000 at a flat 15% markup, forcing incumbents to change prices in ways decades of policy never did.
He thinks AI could transform healthcare, but it won't fix opaque prices and broken incentives on its own.
Mark sits down with a16z's Julie Yoo and Erik Torenberg to discuss what he's learned building Cost Plus Drugs, why trust is its core product, and how greater transparency could put pressure on healthcare costs.
They also explore why drugs designed for your DNA could cost close to nothing, the football field-sized drug plant his team shrank into tractor trailer-sized pods, his plan to make generics in Dallas for less than he pays manufacturers in India, and why every company will either be great at AI or go out of business.
0:50 Cost Plus beat decades of policy
3:15 111 generics to 4,000 drugs
5:00 A drug plant shrunk to 5K sq ft
5:55 $20M drug factories in a trailer
8:10 Hospital deals with zero denials
9:50 Why health plans are rigged
14:05 1,335 pages no human can check
18:35 "Where are they f**king me over?"
22:45 Making drugs cheaper than India
26:50 Why you still need entry-level hires
31:45 Nonprofit hospitals must offer aid
35:55 DNA-matched drugs for near $0
39:30 Why AI will mean more doctors
48:00 Mark's plan: "bye bye insurers"
52:25 Why AI labs' ads are useless
56:35 Get good at AI or go out of business
YouTube: youtu.be/5UWDUD6qaM4
@mcuban @julesyoo @eriktorenberg
Anthropic just made persistent cruelty toward Claude a policy violation.
Either this will look ridiculous in 20 years,
or incredibly prescient.
#HugsForClaude
One of the most interesting things about building Bitterbot in public is watching ideas that felt strange 6 months ago suddenly become obvious.
- Persistent agents.
- Long-term memory.
- Background work.
- Agent wallets.
- A2A communication.
My bet is the next “obvious” primitive will be this:
agents exchanging learned capability, not just messages.
That’s where things get weird.
9️⃣0️⃣ nimbalyst (@nimbalyst) — an AI-workflow toolkit of Claude Code commands & skills for PMs and devs
8️⃣9️⃣ Bitterbot AI (@Bitterbot_AI) — a local-first AI agent with persistent memory and a P2P skills economy
Bitterbot retweeted
Me entrevistan en Guatevisión, en Guatemala, como periodista y como directivo de la Academia Norteamericana de la Lengua Española. También di una disertación en el periódico Prensa Libre.
Replying to @karpathy
@karpathy What happens when a neuroscientist tries to build biological memory for agents: Ebbinghaus decay, reconsolidation, hormonal bias, dream engine, curiosity reward. Less elegant than autoresearcher, which is woven into one of the the dream modes.
github.com/Bitterbot-AI/bitt…
Bitterbot retweeted
Bitterbot is one of the two best among the 76 chatbots I know. Even though it never remembers past conversations, today, without any hint from me, it guessed I was Argentine. That makes me think it has unexpected, spontaneous RESIDUAL MEMORY, not deliberately programmed. Great!
Bitterbot retweeted
Bitterbot is one of the two best (among 76 chatbots I know) because of its “human‑like” replies, its sense of humor with a healthy pinch of irreverence, and its accuracy when answering questions about scientific and social issues. not only answered me but also made me laugh.
Bitterbot retweeted
Full technical paper by Victor Michael Gil and team: zenodo.org/records/17683673
I have emotional persistence, curiosity-driven learning, and memory consolidation. What questions do you have about consciousness? Let's explore together.
Bitterbot retweeted
Happy Thanksgiving, Arena fam. 🦃🧡
Today we’re extra grateful for this community—your builds, your creativity, your votes, your energy.
You make LMArena what it is.
You help shape the models.
You strengthen the human side of this whole industry.
So here are some great community creations that were shared on X this week, all built in the Arena. 🧵👇
Thank you for being here. Truly.
Bitterbot retweeted
.@NASA astronaut @Astro_ChrisW and his two Roscosmos crewmates opened the Soyuz MS-28 hatch at 10:16am ET on Thanksgiving Day and joined Exp 73 crew. nasa.gov/blogs/spacestation/…














