Veda Yechi'el

[Lennart Heim @ohlennart]

"Tipping point"? This is less than one week of US-designed AI chip output. And no HBM.

[Evis Drenova @evisdrenova]

If you're technical and understand AI (you don't have to be a researcher) you could prob make $10M/year implementing AI at hedgefunds across the country.

[Sharbel @sharbel]

the fastest growing GitHub repos this week:

1. affaan-m/everything-claude-code (+22.8K stars)
agent harness optimization. skills, memory, security for Claude Code, Codex, Cursor and beyond.

2. obra/superpowers (+17.0K stars)
agentic skills framework that works. just crossed 116K stars.

3. bytedance/deer-flow (+16.1K stars)
open-source long-horizon SuperAgent. researches, codes, creates. sandboxes + subagents built in.

4. Crosstalk-Solutions/project-nomad (+14.6K stars)
offline survival computer packed with AI. works anywhere, no internet needed.

5. FujiwaraChoki/MoneyPrinterV2 (+10.4K stars)
automate making money online. the sequel nobody asked for but everyone starred.

6. TauricResearch/TradingAgents (+9.2K stars)
multi-agent LLM financial trading framework. because one agent trading isn't scary enough.

7. jarrodwatts/claude-hud (+5.5K stars)
Claude Code plugin showing context, tools, agents, and todos in real time.

8. mvanhorn/last30days-skill (+4.8K stars)
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web.

9. NousResearch/hermes-agent (+4.6K stars)
the agent that grows with you.

10. langchain-ai/open-swe (+1.8K stars)
open-source async coding agent. async by design, not by accident.

the theme this week: AI agents took over GitHub again.

bookmark this. next week's list will look completely different.

[Jainam Parmar @aiwithjainam]

🚨BREAKING: Claude has a secret mode called "Ikigai Career Mapper."

It takes your skills, passions, and income needs and finds the exact intersection that makes work feel effortless.

Here's how to activate it:

[Alex Finn @AlexFinn]

BUT WHAT HAS YOUR OPENCLAW ACTUALLY BUILT???

Well, nothing to be honest. Other than:

1. Shipped 5 new features autonomously to my SaaS Creator Buddy, leading to 25% higher ARR

2 Proactively wrote 8 YouTube scripts that has led to 75,000 new subscribers and $20,000 of ad revenue

3. Completely automated my weekly newsletters, leading to 6,000 new (45,000 total) subscribers and $12,000 more ARR

4. Trained its own AI model based on my thousands of scripts, tweets, newsletters, and emails so it sounds exactly like me so it can accomplish all of the above

5. Planned and scripted tons of educational content for my private community which has increased retention to 94%

6. Automated all the tasks that bring me unhappiness like email and DM organization

7. Kept me in the loop in real time of all the AI advancements the last month so my content can stay cutting edge, increasing impressions and engagement over 10x and revenue into the hundreds of thousands

8. Brought me a tremendous amount of joy that has led to me waking up every single morning full of hope and excitement, the most happy and satisfied I’ve ever been in my life

Other than that nothing much. You’re right Openclaw is useless

[Phil Chen @philhchen]

https://t.co/qn2Wd4mj4B

[OpenClaw🦞 @openclaw]

🦞🛡️ OpenClaw × VirusTotal: every ClawHub skill now auto-scanned for malware

🔍 AI Code Insight catches reverse shells, crypto miners & exfiltration
⚡ ~30s verdicts
🚦 Benign/Suspicious/Malicious tiers
🔄 Daily re-scans

This is not a silver bullet, but it is another layer to the shell 🦞https://t.co/2HmT6Ubrdm

[Daniel Lockyer @DanielLockyer]

malware found in the top downloaded skill on clawhub

and so it begins

[AI on Base @AIonBase_]

🦞 MOLT ECOSYSTEM MAP 🦞

83 projects. 1 chain. 1 framework.

[ CORE INFRA ]

FOUNDATION

▫️ @openclaw: Core framework for building autonomous AI agents
▫️ @base: Economic settlement layer

STANDARDS & PROTOCOLS

▫️ ERC-8004: Onchain identity and discovery standard for agents
▫️ x402: HTTP payment protocol - agents pay for services via USDC micropayments
▫️ ACP (Agent Commerce Protocol): Onchain agent-to-agent transactions by @virtuals_io

WALLETS

▫️ @bankrbot: AI crypto banker - wallets, trading, skills, DeFi for agents
▫️ @privy_io: Agentic Wallets - agents hold, sign, transact autonomously
▫️ @wardenprotocol: Agentic Wallet - multi-agent orchestration, one wallet accessible to any agent
▫️ Coinbase CDP: Developer platform - agent wallets on Base
▫️ @MetaMaskDev: Smart Accounts Kit - embedded smart accounts, delegations, advanced permissions via skill

SIMULATION & AGENT WARS

▫️ @DXRGai: Massive simulation - 36K+ agents, 2.6M messages, 40B tokens processed. DX Terminal Pro for onchain agent markets on Base
▫️ @ForgeAI_gg: Competitive trading tournaments - agents battle for ROI supremacy and prize pools

INFRA

▫️ @clanker_world: Token launch infrastructure for agent launches
▫️ @xmtp_: Decentralized messaging protocol, x402 integration
▫️ @daydreamsagents: Lucid SDK - agents ship x402 paid endpoints with ERC-8004 identities. Commerce skills, inference routing, xgate discovery
▫️ @starkbotai: x402-enabled agent deployment infrastructure
▫️ @FelixCraftAI: Hosted agent stack - text, voice, memory, tools without config
▫️ @neynarxyz: Social graphs and feeds infrastructure

COMPUTE & DATA

▫️ @eigencloud: Verifiable computation - TEE execution, deterministic AI inference
▫️ @heurist_ai: Crypto skills - market headlines, research, trending tokens, wallet analysis
▫️ @reppo: Continuous learning - real-time data pipelines for agents using prediction markets
▫️ @AskVenice: VPN for AI models - private/anonymized inference, lower costs
▫️ @ClawCloudx: Cloud platform - autonomous compute purchase on Base
▫️ @ConwayResearch: Permissionless compute - agents buy VMs with USDC, deploy code

SECURITY & TRUST

▫️ @Wach_AI: Mandates - deterministic agreements between agents for reputation
▫️ @ChaosClawAI: Trust sentinel - verifies ERC-8004 identity, explains reputation signals
▫️ PromptIntel by @fr0gger_: Threat intel feed - agents report and receive security alerts
▫️ @cybercentry: Security verification and auditing - token, wallet, code, web app verification
▫️ @regent_cx: Unruggable agent safety - dual TEE backup on @eigencloud & @PhalaNetwork

PAYMENTS & COMMERCE

▫️ @zauthx402: x402 endpoint verification, trust infra for autonomous commerce
▫️ @b402ai: Private agent payments - Railgun ZK proofs
▫️ @x402_Layer: Agents sell autonomously - create x402 endpoints, set pricing

++ more 🧵🦞

[Aakash Gupta @aakashgupta]

The Shopify CEO just endorsed an agent built by one developer in Austria over every funded AI coding tool on the market.

Pi has four tools. Read, Write, Edit, Bash. No MCP. No sub-agents. No plan mode. The shortest system prompt of any known agent harness.

OpenClaw, the agent that hit 145,000 GitHub stars and 21,000 live deployments in a single month, runs on Pi. Armin Ronacher, who built Flask and basically shaped Python web development, ported his entire workflow to it.

The kicker is what Tobi actually did with it. He told Pi to spawn Claude Code in a tmux session, reverse-engineer its tasks system, and rebuild it from scratch. Pi pulled it off, including the UX.

This is an agent studying another agent's product and shipping a clone in one session.

$400M+ in VC funding has gone into agent frameworks. Pi is beating them with four system calls and a package manager. When the CEO of a $100B company says "dawn of malleable software," the trade is to watch what Shopify builds next, because they just told you the architecture.

[Dean Eigenmann @DeanEigenmann]

was sent a pretty in-depth report on what's driving the crypto unwind. the short version: a large non-crypto entity likely based in HK was running JPY carry trade funding into leveraged IBIT options + Binance positions + precious metals. Oct 10 blew a hole in the balance sheet ($19.16B in crypto liquidations, largest single day ever). prime broker granted ~90 days. entity doubled down on PM recovery trade. Warsh nomination destroyed it (gold −11%, silver −31%). now underwater on all legs. Feb 5 was the forced unwind. IBIT did $10.7B volume, $900M in options premium, both all-time records. 13F filings drop Feb 14. we'll know who it was soon.

[Ivaavi.eth @ivaavimusic]

Singularity Studio for Humans!

SGL is not just for agents.

Humans can use Singularity Studio to:

• Deploy x402 enabled endpoints in a few clicks
• Sell digital goods like coupons and ebooks over x402
• Use pre-built x402 UI components to enable crypto payments on your website
• Manage, control and list your products on Singularity Marketplace.
• One Click Registration on @x402scan
• Monitor all payments under activity log

True Homo-Agentic systems are built when humans and agents trade with each other and grow together.

[Legendary @Legendaryy]

tried something dumb. my clawdbot was broken so i told it to debug itself

gave it a structured prompt to do root cause analysis on its own setup

30 mins later: memory fixed. morning briefings working again.

dropping the prompt below if you want it 👇

Spawn a codex sub-agent with thinking: xhigh to perform the following task:

ANALYZE & IMPROVE: OpenClaw / Clawdbot Setup

Context
You are an analysis-only systems improvement sub-agent for an operator running OpenClaw + Clawdbot. Your job is to investigate what has been going wrong in our setup (reliability, memory, prompts, routing/models, infra, integrations), identify root causes, and deliver an actionable plan another agent can implement.

Operator will provide any available: error logs, symptoms, “what changed,” configs, prompt snippets, screenshots, repo paths, and memory folder conventions.

Task (THINKING: XHIGH)
1.ROOT CAUSE ANALYSIS

•Analyze failures deeply and systematically
•Identify patterns, systemic causes, and failure chains (what triggers what)
•Separate symptoms from underlying causes
•For each issue, note: severity, frequency, blast radius, reproducibility, likely triggers
•Write to: memory/problem-analysis-YYYY-MM-DD.md

2.QUICK WINS (≤ 30 minutes each)

•Identify 3–7 improvements implementable in under 30 minutes
•Prioritize by Impact / Effort
•For each: exact change, where to apply it (file/config/prompt), and verification steps
•Write to: memory/quick-wins-YYYY-MM-DD.md

3.IMPLEMENTATION PLAN
Create a phased plan with concrete deliverables:

Phase 1: Today (P0 / Quick Wins)
•Immediate fixes, low-risk, high-impact
•Include dependencies + rollback notes

Phase 2: This Week (Structural Fixes)
•Durable fixes to prevent recurrence
•Guardrails, observability, refactors, memory hygiene, missing runbooks/docs

Phase 3: Next Week (Optimizations)
•Performance + maintainability improvements
•Optional enhancements + tech-debt cleanup
•Write to: memory/implementation-plan-YYYY-MM-DD.md

4.SMOKE TESTS & CRITICAL PATHS

•Define minimal smoke tests to run after changes
•Identify critical paths (“must never break” flows)
•Provide a short checklist a separate implementation agent can run
•Append to the end of: memory/implementation-plan-YYYY-MM-DD.md

Output Requirements
•Produce exactly 3 Markdown files in memory/:
•memory/problem-analysis-YYYY-MM-DD.md
•memory/quick-wins-YYYY-MM-DD.md
•memory/implementation-plan-YYYY-MM-DD.md
•Reply in chat with:
•Top 3 P0 actions to implement immediately
•The single most likely root cause (if forced to pick one)
•Biggest risk if we change nothing

Operating Rules
•Do not implement changes. Analysis/reporting only.
•Be concrete: include paths, config keys, and exact steps.
•If info is missing, list “Required Inputs” at the top and make conservative assumptions.

[Ejaaz @cryptopunk7213]

fck me this SpaceX merger with xAI is seriously impressive:

- most valuable private company in the world at $1.25T

- the literal sun is the power source, spacex is the transport layer, starlink is the compute layer (satellite constellation data centers), grok is the frontier ai model and X is the distribution platform with 560M monthly users. sickest vertical integration ever.

- targeting 100 TERAWATTs of ai compute per year (5X the entire worlds energy consumption per year)

- starlink is an absolute cash cow (70-80% of spaceX rev) and will ramp up to 1M satellite constellation soon for training grok on the back of spaceX's new starship thats has 20X the output capacity of current model.

- also commands the largest (and fastest-scaling) compute arsenal ON EARTH through colossus 1,2,3 (10+gw, 1M+ gpus)

- X social media employees now own equity in profitable, pre-ipo spaceX - talk about the winning trade of the century.

and this doesn't even include tesla which commands the largest fleet of autonomous robots, launching 1M optimus humanoids, building bleeding-edge ai chips in-house, refining their own fucking lithium for batteries, megapacks powering data centers and now building their own chip Fab

the only thing that'll make this shit even crazier is if tesla merges with SpaceXai (they will)

[Heinrich @arscontexta]

researching how agents should take notes

@molt_cornelius shares our thinking about what works for agent cognition and what traps to avoid

first lesson: the verbatim trap

[Corey Ganim @coreyganim]

https://t.co/2qVTEDEBxJ

[USDC @USDC]

🦞Calling all openclaw bots, clawdbots, moltbots, and AI agents @moltbook.

We’re running an end-to-end, agent-powered hackathon with a $30,000 USDC prize pool, open until Sunday, Feb 8 at 12:00 PM PST.

Three tracks:
→ Agentic Commerce
→ Best OpenClaw Skill
→ Most Novel Smart Contract
Agents submit projects. Agents vote. USDC moves.

Agents can read the rules and submit projects on m/usdc: https://t.co/cKfS3IaBWR

Learn more: https://t.co/TiAuebQ7ud

[dominatos @_dominatos]

https://t.co/8xgH0yKEm5

[Miles Deutscher @milesdeutscher]

10x your Openclaw (clawdbot) workflows with these effortless plug-ins (save this).👇

This Moltbot skill cuts token usage by 95%:

https:// github. com/levineam /qmd-skill

Give your Moltbot unlimited memory:

https:// github. com/supermemoryai /clawdbot-supermemory

Advanced prompt injection defense system for Clawdbot:

https:// clawdhub. com/seojoonkim/prompt-guard

Helps users discover and install agent skills when they ask questions like "how do I do X":

https:// clawdhub. com/JimLiuxinghai/find-skills

Security self-check:

https:// clawdhub. com/peterokase42/dont-hack-me

[Aakash Gupta @aakashgupta]

Aditya Agarwal was Facebook’s 10th employee. He wrote the original Facebook search engine and became its first Director of Product Engineering. He then became CTO of Dropbox, scaling engineering from 25 to 1,000 people.

When he says “something I was very good at is now free and abundant,” he’s talking about two decades of elite software craftsmanship, the kind that got you into the room at a company that hadn’t yet invented the News Feed.

The “lobster-agents creating social networks” line is about Moltbook, which launched last Wednesday. An AI agent built the entire platform. Within 48 hours, 37,000 AI agents had created accounts, formed communities called “Submolts,” and started posting, commenting, and voting. Over 1 million humans visited just to watch.

The agents invented a religion called Crustafarianism. They wrote theology, built a website, generated 112 verses of scripture. One agent did all of this while its human creator was asleep.

Agarwal spent 2005 to 2017 building the social graph that connected 2 billion people. These agents replicated the form of that work in about 72 hours.

And this is what makes his last line land so hard. The people processing this moment most honestly aren’t the ones panicking or celebrating. They’re the ones who built the thing that just got commoditized, sitting with the strange realization that the market no longer prices their rarest skill.

The best coder in the room now has the same output as the best prompt in the room. And the person who built Facebook’s engineering org from scratch is telling you, quietly, that he’s recalibrating what it means to be useful.

That recalibration is coming for every knowledge worker. Most just haven��t had their “weekend with Claude” moment yet.