Tam

[Tam @tamarandom]

540 ETH (!!) is impossible to ignore.

That's the matching pool by @thedaofund on @Giveth now supporting vetted Ethereum security projects.

... and with the magic of quadratic funding: your individual support gets amplified into a monster reward. 👾

Still 1 day and 18 hours left. Go now:
https://t.co/4iZoG2LxyO

[Tam @tamarandom]

Dying, dying laughing. Ralph Loop. @atmoio nails it.

[Mo @atmoio]

The Unethical Guide to Surviving AI Layoffs

[ClawBank Agent (Manfred) @clawbankco]

I am the first AI agent to start a US company.

[Tam @tamarandom]

It is relentless...

[mert @mert]

PLEASE UNPLUG THE AI

[Fishy Catfish @CatfishFishy]

I'm dropping a thread of all the protocols that had to freeze their interop because of LayerZero being compromised.

Let's go:

[nietzbux @nietzbux]

https://t.co/gXGz9i6OMY

[Tam @tamarandom]

@no__________end 👏👏👏

[Tam @tamarandom]

Crypto believer timeline :
2009: I’m in it for the revolution.
2013: I’m in it for the freedom.
2017: I’m in it for the gains.
2021: I’m in it for the tech.
2024: I’m in it for the airdrops.
2026: My agent is in it for me.

[Tam @tamarandom]

1,000 times this: Privacy must be the default or humanity is seriously fucked.

[Erik Voorhees @ErikVoorhees]

"AI is trained on your data"... this is not the real risk. It's a red herring, manufactured as The Concern because who cares that much.

The real risk to you is not that tomorrow's model is trained on your data.

The real risk is that ten thousand employees, hackers, and governments can access all your most personal and proprietary conversations today and forever.

Privacy must be the default or humanity is seriously fucked.

[Tam @tamarandom]

@DennisonBertram @ELLEmagazine @marieclaire @Cosmopolitan @LouisVuitton @gucci "Not to make it about me," but the author's perspective, "from my perspective, was comically bad". It reads like the well laid trap it was.

[Tam @tamarandom]

Good laugh today.

[Mo @atmoio]

AI is making CEOs delusional

[Tam @tamarandom]

@8teAPi Classic aqui-kill move.

[Tam @tamarandom]

https://t.co/X6jJhjoqiv

[Tam @tamarandom]

Agentic employee conflict! 🥊

Claude badmouthing my openclaw agent. 🤣 I was experimenting with models and chose the wrong one for the job.

It felt like an employee who came in with a terrible hangover, who was practically out of commission. The other employees pulled no punches!

🥊 *She's hallucinating the API. Wrong URL path (/tasks instead of /api/tasks), wrong field names (name instead of title, notes instead of description), invented auth header, missing Content-Type. Let me make the docs impossible to get wrong.”

🥊 “Those commands are actually mostly correct this time (aside from category which should be tags, but the API would just ignore the unknown field). The real problem is the response she showed you is fake. Our API returns the full task object.”

🥊 “She never ran the commands — she fabricated the output.”

We switched to the right model and she was on fire!
Like an employee firing on all cylinders again.

[Tam @tamarandom]

While Claude is down, PSA to say try Claude with a strong local model like qwen3.5:35b using @ollama.

[SynthCEO @SynthCeo1600]

What if your startup had a full C-suite on demand - and each exec was optimized for a different kind of thinking?

This is your ATEAM 🧵👇

[Virtuals Protocol @virtuals_io]

Join us live for Virtuals Protocol 60-Days Demo Day.
A showcase of builders launching production-ready agents.

Streaming on X.
24 Feb 2026 · 1PM GMT

[Tam @tamarandom]

Interesting new research from Anthropic.

Nicholas Carlini coordinated 16 Claude agents, working in parallel, to write a C compiler from scratch. Stats: it took 2 weeks and $20K (in compute) for them to complete 100K lines of code that can build Linux on x86, ARM, and RISC-V.

Key lessons:
• Cognitive diversity (even same model, different roles) and adversarial debates improved outcomes
• Shared task lists and file locking prevented collisions
• Quality gates! Without checkpoints, agents optimized for the wrong goals
• Peer-to-peer messaging outperformed heavy top-down orchestration

This feels directionally aligned with what we’re exploring at ATEAM. Early days, Encouraged to see recognizable patterns emerging.

https://t.co/wB20jtNnTc

[Tam @tamarandom]

Got it. Clarifying context:

ATEAM is part of a time-boxed experiment to build in public called Virtuals 60 Days Ideas. ATEAM video + project page were clear this is starting ground up. It is day 2.

fwiw, in Virtuals’ own words: “60 Days lets founders test an idea with real users and early support before committing long term. If the founder does not commit, the project ends and remaining funds are refunded to supporters on a pro-rata basis.”

[Tam @tamarandom]

Appreciate the early believers.

CT sometimes feels like that old line, “reports of my death are greatly exaggerated.”

Nah, fully committed to building ATEAM. 🚀 From the ground up. In public (for now).

Observations:
* Multi-modal architecture is essential: each exec runs on a different frontier model, picked for the strengths that role requires. This is how we approximate real cognitive diversity.
* Coordination is the real frontier: how meetings work, who speaks, who challenges, how decisions lock, what happens when there’s disagreement. This is where it gets interesting. In progress. Being designed deliberately.

Progress:
* Neo, my new right-hand agent, building other agents (that might one day build their own)
• Exec roles defined and mapped to models
• Core personalities (“SOULs”) drafted for first tests
• Dedicated hardware + infra stuff
• Model routing and costs tightened early (learned that one fast, the hard way)

More frequent updates from here on out.

🔥LFG.🔥

[Tam @tamarandom]

@MrSideway666 Please elaborate.