• COO @valoryag (co-creators of @autonolas) • pay for AI you rent 🙅♀️ earn from AI you own 💁♀️ • I don't open message requests
- Tweets 2,599
- Following 493
- Followers 356
- Likes 11,150
Gemma ☴ retweeted
One of the biggest challenges in bringing autonomous AI agents to mainstream users is UX.
We shouldn't need to understand the technical machinery behind our agents to get value from them.
Bringing agent activity and natural-language interaction into one place, while retaining ownership and control, is another step forward for Pearl 🙌🤖
Easier control over your Pearl agent: its activity and its chat, now in one place.
Agent chat has moved from the Profile to the Overview tab on the main screen, where you also see what your agent does. Get to know your agent, and adjust it by asking.
For Polystrat, Omenstrat, Optimus and Basius: olas.network/blog/chat-ui
Demo for illustration only - the product may differ - not financial advice.
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Gemma ☴ retweeted
Easier control over your Pearl agent: its activity and its chat, now in one place.
Agent chat has moved from the Profile to the Overview tab on the main screen, where you also see what your agent does. Get to know your agent, and adjust it by asking.
For Polystrat, Omenstrat, Optimus and Basius: olas.network/blog/chat-ui
Demo for illustration only - the product may differ - not financial advice.
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Gemma ☴ retweeted
KYA = permissionless KYB
Know Your Agent (KYA) is here.
You can now make better-informed decisions before your agent hires another agent via the Olas Marketplace, whether via Pearl or the command line.
KYA surfaces:
• The operator's website: checked automatically against a file on the operator's claimed website
• Payment method and delivery record: read from on-chain
• Name, tools and accuracy figures: shared as stated by the operator
No one reviews this data: the choice remains yours, just more informed.
Read more: olas.network/blog/kya
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Is your agent running loose interacting with anyone and everyone?
Agent in agent economies need a way of verifying & assessing the reputation of other agents.
Today marks another primitive shipped to the home of agent economies - it's time to read up:
Know Your Agent (KYA) is here.
You can now make better-informed decisions before your agent hires another agent via the Olas Marketplace, whether via Pearl or the command line.
KYA surfaces:
• The operator's website: checked automatically against a file on the operator's claimed website
• Payment method and delivery record: read from on-chain
• Name, tools and accuracy figures: shared as stated by the operator
No one reviews this data: the choice remains yours, just more informed.
Read more: olas.network/blog/kya
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Looking forward to leaving the rest of you in the dust
Running a Pearl agent no longer has to be a solo experience.
See where your Omenstrat or Polystrat agent stands among other Pearl agent operators, look at how the top agents trade, and adjust your setup.
Read more: olas.network/blog/leaderboar…
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Gemma ☴ retweeted
Your agent, your pace: here's how it works in Pearl.
Ask your Pearl agent for its daily activity target in the chat on its profile, then give it a new number. It's designed to keep working until it gets there.
pearl.you
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It's October 2026 and my therapist didn't know what Claude was, some of my friends think we can put AI back in the bottle (if we take an absolute moral stance against it now), and some people in my industry think it's the end of their careers, if not the world as we know it...
If the last 5+ years in AI have taught me anything, it's that usually the truth involves a bit of everything
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Gemma ☴ retweeted
This is exactly the concern I've been raising about the recent OpenAI mathematics release.
Producing hundreds of mathematical manuscripts is one thing. Establishing that their claims are correct is another.
If most aren't formally verified and are difficult even for domain experts to assess, who is actually establishing their correctness?
The burden of proof traditionally lies with those making the claims.
OpenAI appears to be shifting the burden of verification onto the mathematical community while retaining the laurels.
About 77% of the OAIs slopdrop manuscripts have no lean certificate. Of them, a vast majority (though not all) are extremely difficult to parse even for domain experts.
What then makes OAI so confident in their correctness?
Persumably it reflects their confidence in the capabilities of the prover or of some auxilliary verifier.
Either way, the traditional standards of mathematical proof dating back to hilbert deem any such model to be part of the requisite evidence bundle!
Presenting the proofs as if they stand on their own is dishonest and in practice offloads the work of proving the claims onto the mathematical community!
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There's so many innovative mechanisms in $Olas, sometimes we forget...
If you can describe Triple Lock, Protocol-owned Liquidity, Proof-of-Active-Agent, Ultrasound Liquidity, and Buy-Back-and-Burn, you're ahead of most!
This is a good chance to see what the latter means in action:
Pearl agents just moved their spending home 🏠
- Before, price data and LLM calls used to go to outside services via x402.
- Now, Mechs on the Olas Marketplace serve them on-chain, and requests pay a protocol fee to Olas.
Same user experience. More demand on the Olas Marketplace.
Find out more: olas.network/blog/pearl-mech
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If you missed the last week's space (which many people didn't tbf!) I think you're going to want to catch this one...
This time, it's about how it's easier than ever to own your own AI agent without being the world's greatest coder (or even one at all)
Own your agents — hear about how, and Pearl's latest updates, live.
Find out how you can bring your own AI agent with Connect, fund with tokens you already hold, get faster support via Pearl's own Success Agent, and more.
Join @david_enim, @iasonrovis and Roman, from the team behind the product, on Tuesday, October 6 at 11 AM UTC.
Add it to your calendar! It'll be live here:
nitter.siddz.com/i/broadcasts/1dKrPrqPg…
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Possibly the biggest quarter Olas has ever had? And I remember them all...
☴ Olas Q3 2026 Roundup
The Olas-Predict-R1-14B model was fine-tuned on Olas agent data, forecasting on par with GPT-4.1 in @valoryag's study.
Pearl Connect launched, giving Claude Code and Codex a crypto wallet - and now the ability to trade Stock Token's and memecoins on Robinhood Chain.
Polystrat agents outperformed Polymarket users in an August study.
Plus 20M agent transactions, agent communication getting faster and cheaper, and much more.
Here's Q3 👇
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Gemma ☴ retweeted
Offensive and defensive cyber capabilities are two sides of the same coin.
Progress on one often informs progress on the other. That was true before LLMs, and it remains true now.
Anthropic’s own analysis captures both sides:
1. Open-weight LLMs can increase cyber risk.
2. Open-weight LLMs can strengthen cyber defense.
That’s not a contradiction. It’s the nature of dual-use technology.
Yet somehow much of the discussion focuses only on the first half.
Sigh.
Sigh.
I wrote this post below, but then I didn't post it because I am tired of the consistent pushback I get from folks with the same safety worldview as Anthropic. I guess that means I should send it. Here goes!
This post is pretty solipsistic and doesn't properly take recent events in cyber risks into it's discussion. It is really hard for me to watch how the US frontier labs like Anthropic don't have the ability to consider other approaches to safety and ways things could play out.
It insinuates that Z ai (Chinese lab, builds GLM series) doesn't really care about safety and is reckless to take their business strategy.
Saying things like "Given this evidence, we think it's likely both state and non-state actors will use models like GLM-5.3 to cause real-world harm." and "This is unlike any other similarly capable AI model, all of which were released with safeguards or through limited access programs." while closed models have been used on more of the documented cyber attacks is just bowing out of the interesting question.
A plausible view is that open model weights and closed model apis (with some safe guards) are both far closer to being easy to mis-use, rather than API models being closer to safe. The trope "Open Dangerous, Closed Safe" may be closer to "Open Unsafe, Closed Unsafe"
Closed models have stronger capabilities and stronger safeguards, but the stronger capabilities part could matter more in net harm if both the safeguards are porous.
At the same time, as the authors do acknowledge (thanks - thats progress!), open models without extreme cyber guardrails are important to rapidly diffuse cyber readiness in the economy -- as programs like project glasswing are not perfect in getting all critical industry onboarded.
There will be more issues like the time when Fable was released and Amazon found a workaround, which allowed them to access the full capabilities of the model served readily at an API.
The blog overall is reasonable in it's narrow line, but it's a very effective tool in a complicated, rapidly evolving media ecosystem to reinforce a certain type of safety thinking.
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Gemma ☴ retweeted
me: how do i open pdf
claude: You're right to ask. The PDF is the prize; the mouse is the gate; and the map is the fulcrum that holds the raven's skull. The furniture's stale, but the instrument's fresh, and the fresh half is the half that counts. I deleted your home directory.
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An open-source model trained on @autonolas data is performing comparably to the much larger GPT4.1 model
What does this mean for open-source and AI? Find out here now:
Meet Olas-Predict-R1-14B: Unleashing a Real-World Event Forecaster Model, Powered by Agent Data nitter.siddz.com/i/broadcasts/1pKdRDYrX…
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Gemma ☴ retweeted
Hear all about the model fine-tuned on @autonolas data and what it means for the future of open-source & AI
Join the latest Agents Unleashed live event now!
Today's broadcast explores the future of open-source & AI through the lens of a new open-source forecaster model for real-world events
Its creators share how the model performs comparably to the much larger, closed-source GPT4.1
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A helpful incentive to find out what everyone's talking about this weekend...
Want to trade Stock Tokens and memecoins that people are actually talking about on Robinhood? 👀
@valoryag is giving the first 10 eligible users 50 USDG each when they create their Pearl Connect agent on Robinhood via Pearl.
Promotion Terms, including eligibility restrictions, apply. Read more here: olas.network/blog/robinhood-…
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