Introducing Blume 🪷
A world-class docs framework for everything you ship. Drop Markdown into a folder and ship a full docs site with no app boilerplate.
→ zero-config setup
→ automatic SEO and AEO
→ 30+ components
→ powered by astro + vite
→ open source, free forever
BREAKING: Today, we witnessed the future of marketing.
A tiny brand can now outrank a company doing $7M/month in AI search just by getting mentioned on the pages the models already trust.
This is insane.
how to make your site readable by ai agents:
1. add an llms.txt so search tools stop guessing urls
2. check your server logs, not your analytics
3. serve a markdown version of every page
4. support content negotiation headers
5. rethink your JS-only widgets
exact match domain + a one shot directory site is still the cheapest traffic in marketing
buy the exact match domain for what your customer searches
have claude code one shot a directory site for it
deploy to vercel
get it indexed in google search console
it pulls free traffic from your exact target customer
then run "ads" on it that promote your product
It's kind of wild how many new primitives AI has given us in 3 years:
- Local models (2023: Llama, Ollama, LM Studio)
- Voice cloning (2023: ElevenLabs)
- Text to CAD (2023: Zoo)
- Text to video (2024: Sora, Veo, Runway)
- Real-time voice (2024: Gemini Live, ChatGPT Voice)
- Memory (2024: ChatGPT)
- Reasoning models (2024: OpenAI o1, DeepSeek R1)
- Vibe coding (2024: Bolt, Lovable, v0)
- Computer use (2024: Claude, OpenAI Operator)
- Connectors (2024: MCP)
- Deep research (2024: Gemini, Perplexity, OpenAI Deep Research)
- Agents (2025: Claude Code, Codex, Manus)
- Image editing (2025: GPT-4o images, Nano Banana)
- Agent payments (2025: x402, AP2)
- Skills (2025: Claude Skills)
- Personal agents (2026: Grokbot, Muse, Instinct)... we are here now.
Each one of these is a starting point for hundreds of companies.
The most interesting ones I'm seeing combine 2 or 3 of them with a specific niche!
Hi,
Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan.
Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago.
(a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want.
(b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions.
(c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent.
(d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet.
I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news.
Codexingly,
Tibo
OpenAI just announced that the $200 subscription will get half the amount of usage moving forward
It’s clear where all of this is going
All AI companies within the next 2 years will exclusively use API pricing. No more subscriptions
Subs only made sense when companies were willing to lose billions of dollars to get you into their ecosystem
Now that basically every AI company will be attempting to go public, they’ll no longer be able to burn extraordinary amounts of money
They’ll have to report their earnings to the street, and if the number isn’t going up and to the right, that’ll be really bad
I don’t think this is doomsday. The cheaper models like Luna and Sonnet are now actually really good. Compared to 6 months ago, they’d actually be frontier
That’s more than enough to be spectacularly productive for a good price
The consumer behavior is going to have to change. You are going to need to be fine with using an intelligence level appropriate for your work. Not just Astra 6 Max for every single thing you do
If you have a Ferrari and a Model 3 in your driveway, you don’t drive the Ferrari to pick up milk from 7/11. Sometimes you use the daily driver car
The days of AI subsidies are coming to an end, and it’s probably time we start getting used to it. The party is over.
I think every time AI can do something equally good or better than humans it stops being valuable or special
Marketing videos used to take lots of work of editing and motion graphics and a big budget
Now with Opus 5.5 etc it costs $0 to make one as good or better
That means ANYONE can make a marketing video now, so the timeline gets flooded with these videos (as you see happening now) and people stop caring about them, stop watching them and they stop grabbing attention
The response then to still grab attention is be different and that probably means IRL marketing videos that are original and unique and maybe personal
It's the grim reaper meme where AI keeps commoditizing another media format and bringing the cost down to close to $0
It already did so for graphic design (2023), last year with Nano Banana for photography (2025), this year with Seedance 2.5 it did it for video (2026) and this and next year motion graphics
I led engineering at Google DeepMind.
Today, I'm proud to introduce Fo to give personal AI something no lab ever has... Humans.
Other personal AI's pretend AI can do everything. Fo employs humans to do tasks that AI cannot.
- 2x better at real-world task completion (beats other agents by 69%)
- 94% trust rate (4x less likely to leak private info vs Muse, Instinct)
Sign up for free: https://t.co/9ndFhcN5mO
Why horizontal tabs?
Vertical is navigation. Organizational. Hierarchical. A tree. It's "history". You don't need it on screen all the time.
Horizontal is the working set. The threads that are live. Always visible. Give it icons, colors, status. Context at a glance.
In apps like ChatGPT, Claude Code or T3 Code, horizontal space is expensive. Tabs at the top let you tuck away the sidebar and leave more room for the right panel: preview, browser, code view.
And you still see what's running, what's done, what needs your input.
The OpenAI-Hugging Face hack was enabled by weak sandboxing. It is great that Nvidia is releasing open source tools for sandboxing AI agents. OpenWorker, our open-source agent harness supporting cybersecurity workflows, is proud to support this.
A sandbox gives an agent limited permissions. OpenWorker is building on Nvidia OpenShell and will support running each agent's commands inside a sandbox. Only the files relevant to the task go in. Secret API keys, your web browser login credentials, the ability to access arbitrary websites, are inaccessible to the agent by default. These restrictions are implemented in deterministic code rather than by prompting an LLM, which can make mistakes or be susceptible to prompt injections. Further, all actions are logged for monitoring and audit.
I'm grateful for @JensenHuang's leadership making AI agents more secure. OpenWorker (which @rohitcprasad and I are working on) will continue to improve security for agents.
JEV is INSANE.
We gave it 700 high-intent leads and personalised outreach messages.
In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches.
All for just $0.09.
JEV can also score leads, analyse buying signals, match each prospect with the best message and identify the campaigns most likely to perform based on data.
Coming soon to @GojiberryAI+ MCP.
Comment “JEV” for early access.
ChatGPT co-inventor just shipped a different kind of AI.
It doesn't chat. It decides.
20-200x faster decisions.
People are already running it on Doom, Minecraft, browser agents, LLM judging + more.
10 wild examples:
1. Jev plays doom