Lutherwaves

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[Anthropic @AnthropicAI]

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.

The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.

Access to all other Claude models is not affected.

We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.

Read our full statement: https://t.co/bwn0sximKZ

[Alvaro Cintas @dr_cintas]

Claude Code works now free. Unlimited. No subscription 🤯

It’s called free-claude-code. You get a free NVIDIA API key, point Claude Code to localhost, and the proxy converts your Anthropic API calls to NVIDIA NIM format.

40 requests per minute. No bill. Ever.

It supports Kimi K2, GLM 4.7, MiniMax M2, Devstral, and more. Streams thinking tokens and tool calls in real time.

There's also a Telegram bot built in so you can control Claude Code from your phone.

2-minute setup. 100% open source.

[Thinking Machines @thinkymachines]

People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way.

We share our approach, early results, and a quick look at our model in action.

https://t.co/AFJZ5kH7Ku

[Georgi Gerganov @ggerganov]

llama-server -hf ggml-org/Qwen3.6-27B-GGUF --spec-default

[Lutherwaves @luther_waves]

Bank it up

[Stripe @stripe]

Introducing the new Stripe Treasury:

• Hold funds in multiple currencies and stablecoins.
• Instantly transfer money to US businesses on Stripe for free.
• Pay anyone in 160 countries with just their email address.
• Earn credits on balances to apply towards Stripe fees.
• Spend funds with a Stripe card.
• Get 2% cash back on card purchases.
• View balances in the Stripe mobile app.
• Use Treasury from any AI app with the Stripe MCP.

[Stripe @stripe]

Introducing the new Stripe Treasury:

• Hold funds in multiple currencies and stablecoins.
• Instantly transfer money to US businesses on Stripe for free.
• Pay anyone in 160 countries with just their email address.
• Earn credits on balances to apply towards Stripe fees.
• Spend funds with a Stripe card.
• Get 2% cash back on card purchases.
• View balances in the Stripe mobile app.
• Use Treasury from any AI app with the Stripe MCP.

[Polymarket @Polymarket]

BREAKING: Vibe-coding platform Lovable reportedly suffered a breach that exposed users’ AI chat histories, source code, & database credentials.

[Vercel @vercel]

We’ve identified a security incident that involved unauthorized access to certain internal Vercel systems, impacting a limited subset of customers. Please see our security bulletin:
https://t.co/0S939n3qHC

[Peter Steinberger 🦞 @steipete]

woke up and my mentions are full of these

Both me and @davemorin tried to talk sense into Anthropic, best we managed was delaying this for a week.

Funny how timings match up, first they copy some popular features into their closed harness, then they lock out open source.

[Georgi Gerganov @ggerganov]

llama.cpp at 100k stars

now that 90% of the code worldwide is being written by AI agents, I predict that within 3-6 months, 90% of all AI agents will be running locally with llama.cpp 😄

Jokes aside, I am going to use this small milestone as an opportunity to reflect a bit on the project and the state of AI from the perspective of local applications. There is a lot to say and discuss and yet it feels less and less important to try to make a point. Opinions about viability of local LLMs are strongly polarized, details are overlooked, the scientific approach is lacking. Arguments are predominantly based on vibes and hype waves.

One thing is clear though - local LLMs are used more and more. I expect this trend to continue and likely 2026 will end up being one of the most important years for the local AI movement.

I admit that I didn't expect the agentic era to come so quickly to the local LLM space. One year ago, the available models were too computationally expensive for doing long-context tasks. There wasn't an obvious path towards meaningful agentic applications. The memory and compute requirements were huge. Last summer, with the release of gpt-oss, things started to change. It was the first time we saw a glimpse of tool calling that actually works well within the resource constraints of our daily devices. Later in the year, even better models were released and by now, useful local agentic workflows are a reality.

Comparing local vs hosted capabilities at a given moment of time is pointless. To try put things into perspective:

- We don't need frontier intelligence to automate searches and sending emails
- We don't need trillion parameter models to be able to summarize articles or technical documents
- We don't need massive GPU data centers to control our home appliances or turn the lights off in the garage

I believe that there is a certain level of intelligence we as humans can comprehend and meaningfully utilize to improve our working process. Beyond that level, access to more intelligence becomes unnecessary at best and counterproductive at worst. I also believe that that level of useful artificial intelligence is completely within reach locally and it has always been just a matter of implementing the right software stack to bring it to the end user.

With llama.cpp, I am confident that we continue to be on the right track of building that software stack!

The llama.cpp project is going stronger than ever. With more than 1500 contributors, the project keeps growing steadily.

From technical point of view, I think that llama.cpp + ggml is the only solution that actually makes sense. That is, the software stack must run efficiently on every possible device, hardware and operating system. The technology is too important to be vendor-locked. It has to be developed in the open, by the community, together with the independent hardware vendors. This is the only right way to build something that will truly make a difference in the long run.

I won't try to convince you about what is currently and will be possible with local AI. We will just continue to build as usual. I am confident that after the smoke clears and we look objectively at what we have built together, the benefits will be obvious to everyone.

Big shoutout to all llama.cpp maintainers. I feel extremely lucky to be able to work together with so many talented contributors. Every day I learn something new and I feel there is so much more cool stuff that we are going to build. Also, I am really thankful that the project continues to have reliable partners to support it!

Cheers!

[Lutherwaves @luther_waves]

@heynavtoor NullFeatures as well? Love the idea though

[Andrej Karpathy @karpathy]

Very interested in what the coming era of highly bespoke software might look like.

Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week.

1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc.

But I still feel like the overall direction is clear:
1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you.
2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it.

So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations.

TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.

[Lutherwaves @luther_waves]

@eurofounder As a Bulgarian I can confirm this is all absolutely true. We all taxed in voluntarily as well.

[Decart @DecartAI]

We are building “Open Source Nano Banana for Video” - here is open source demo v0.1

We are open sourcing Lucy Edit, the first foundation model for text-guided video editing!

Get the model on @huggingface 🤗, API on @FAL, and nodes on @ComfyUI 🧵

[Lutherwaves @luther_waves]

The Council

https://t.co/8ZSwVT9Otw

[Lutherwaves @luther_waves]

Check this one out

[Lutherwaves @luther_waves]

Just dropped a new track

[Lutherwaves @luther_waves]

Just launched a new batch of tracks.

Check it out on Tidal https://t.co/UgXM8xjF1A

Check it out on Spotify
https://t.co/fb9O446ZIz

[Simon Sinek @simonsinek]

Focus on money and you will make money. Focus on impact and you will make an impact.

[Jeff Atwood @codinghorror]

The primary rule of user interface design is that users won't read a single god damn word you put on the page.