TikTok just banned our account with 160k followers for misinformation because we posted a FACTUAL video about the White House Rapid Response team calling me a moron.
@tiktok_us please help.
Jeff Bezos has $222 billion.
If he paid my wealth tax this year, we could fund insulin in America for everyone who needs it plus free school lunch for every kid in Texas—and have plenty of money left over.
And Bezos would still have $215 billion dollars to spare.
Most brands I work with have the strategy figured out.
They just can’t execute fast enough.
Someone built a fix for that.
It’s called Helena — the OpenClaw for marketing.
Give it your URL, and it runs your marketing for you:
→ Reads your site, ads, analytics, and competitors automatically
→ Builds and deploys email flows in Klaviyo or Mailchimp
→ Writes SEO content and publishes it weekly to Webflow, WordPress, or Ghost
→ Launches and manages Meta + Google ad campaigns from scratch
→ Generates UGC video via Sora and static ads via Nano Banana
→ Posts to LinkedIn, Instagram, and Pinterest in your voice
→ Spies on competitor ads across Meta and Google
→ Daily brief: what ran, what worked, what’s next
No agency retainer. No CLI. No dev. No setup rabbit hole.
Give it your URL, and it runs marketing for you while you sleep.
Comment “Helena” below, and a member of the Enrich Labs team will send you the link + free access.
IRAN TO PRESIDENT TRUMP:
“You struck our hospitals, we did not do the same. You struck our emergency centers, we did not do the same. You struck our schools, we did not do the same. But if you strike electricity, we will strike electricity.”
🚨BREAKING: Someone just built a framework where AI agents hire and manage their own team of agents.
It's called ClawTeam.
You give it one goal. It spawns a full team, splits the work, tracks every dependency, and ships the results.
No human coordination needed at any step.
Here's exactly what happened when they tested it:
A researcher typed: "Optimize this LLM training setup using 8 GPUs."
Then walked away.
The leader agent read the instructions, spawned 8 specialized workers across 8 H100 GPUs, and assigned each one a different research direction.
Every 30 minutes, the leader checked progress, killed underperforming agents, pulled the best findings, and spun up new agents with those findings already baked in.
2430 experiments later, the model's val_bpb dropped from 1.044 to 0.977.
Nobody touched it overnight.
Here's the part that actually surprised me:
The whole thing runs on a filesystem and tmux. No database. No Redis. No cloud.
Each agent gets its own isolated git branch, its own inbox, and its own task list. They message each other, update their status, and report back to the leader automatically.
Works with Claude Code, Codex, OpenClaw, or any CLI agent you already use.
Zero framework lock-in. Zero setup hell.
100% Open Source. MIT License.
Check out the repo: github.com/HKUDS/ClawTeam
Canada's PM @MarkJCarney went on an anti-Conservative talk show in the US and trash talked someone he works with. Liberals laughed and laughed.
He could have chose the high road.😒
When @PierrePoilievre goes on an American talk show, he could have done the same. He didn't. He DID chose the high road.
There is a difference between Liberals and Conservatives.
The Tax-Free Savings Account (TFSA) launched in Canada in 2009 with $5,000 of initial contribution room.
Many said it was too small to matter - a waste of time.
Today, some individual Canadians have TFSAs worth $500,000.
Before Software Factory, my team and I were building an AI SDLC manager for two years to do what 8090 offers. After using Software Factory I shut down our internal effort and am reorienting my team around Software Factory. This has already freed up two engineers.
The Software Factory team gets it and delivers on the core principle: holding software representation in requirements, not in code.
- @jbarseneau on Software Factory
Software Factory - Version 0.27.0
Core Updates
• Rich Mentions in Comments: @mentions now render as interactive chips in document comments, making it easier to tag users and reference knowledge across the project.
• User Feedback Ratings: Users can now rate agent responses with thumbs up/down, select feedback categories, and leave notes to help us improve agent performance faster.
• Usage Dashboard Improvements: New grouped usage views with drill-down by Project, User, Agent, or Model. Includes sortable tables, summary cards, pagination, and CSV export.
• Optimistic Tool Call Interaction: Users can now interact with blocking tool calls while the agent is still streaming, with optimistic UI updates and reliable cancellation.
Minor Updates
• Code Search Agent v2: Redesigned code search agent now returns structured summaries with markdown rendering instead of raw JSON.
• Artifact Upload UX: Drag-and-drop files directly into the agent prompt. Attachments show processing indicators before sending.
• Feedback Image Paste: Ctrl+V now pastes clipboard images directly into feedback uploads.
• Comment Panel Auto-Open: The comments panel now opens automatically when comments are created via agent tools.
• Feedback Conversation Tracking: Feedback submissions now include the conversation ID for traceability.
• Codex CLI Instructions: Added setup instructions for using Codex CLI with the platform.
Our next release will include:
- Simultaneous editing for live, multiplayer collaboration
- Many agent reliability improvements
- Upgrades to the document versioning system