The cost of compute and inference efficiency keeps dropping. Deepseek has numerous advantages here that Anthropic has not likely implemented.
If we assume the current rate of 10x reduction every year or so, profitability is inevitable. It’s just a market-share cash-fight at the top right now.
It's very hard to compete with the massively-token-subsidized big players when our entire team is spending nearly 20x the claude code subscription cost in API token usage - it's impossible for anyone else to do it without eating huge losses.
Junie - their coding agent - was also a miss. I've had Rider for almost 10 years currently - but considering dropping it.
Tradcoding is basically dead, and a lightweight text editor with tree-sitter has come a long way - and it's good enough to read/micro edit with anyway.
I feel bad for them as it's been such a stable product for decades of excellent development, but the world moves on.
Maybe that's not how it's being used though - Nobody needs photoshop to solve a specific focused problem.
Photoshop is a (formerly?) great toolbox. Toolboxes are good if you need to cater to a wide audience. An audience of one via bespoke software - the real revolution - doesn't need the full photoshop experience.
Countless examples previously requiring photoshop are now replaced with some ffmpeg and imagemagick pipelines written by AI daily.
It doesn't seem that compelling to me. I can get the gpt-oss models cheaper from the openrouter nitro providers like groq and cerebras. The model you mention on Cloudflare infra is the same price through open router or directly.
There's so much tracking on this site it's even running WebGL to try and fingerprint the browser. Is that really necessary for a joke site, or does this ship by default with every CloudFlare site?
LLMs are rapidly becoming the first 'purely digital commodity'.
Being digital it's somewhat hard to apply any kind of trade protectionism or Chicken Tax onto them. Maybe there's a market for cruelty-free vegan non-GMO (low-water-use sustainable energy) LLM tokens as well as European ones?
I really like what Mistral did for open Models - but what is the plan to compete against the likes of Moonshot, DeepSeek in the global market? When you can get Kimi K2.6 served via cloudflare it raises tough questions on the economics of it all.
What exactly is Mistral's strategy is aside from niche regulatory requirements or a Eurocentric hedge for AI sovereignty? Do they even have ambitions to compete on the global stage?
I don't know their strategy but I wish they would double up on the open source ecosystem by sharing their innovations like Chinese labs do and use the ones shared as well. I think models in the range of 50B - 250B still have a lot of room to grow and presumably compute to train them should be more accessible than multi-T parameter models.
This would also add pressure on other labs to keep being engaged in the open source ecosystem as a rug pull isn't a small danger IMO.
Interesting that you mention commodity, because the better AI models become the more fungible they are. AI companies become like web hosting companies renting out server space with good enough open models. It’s not like Excel that runs the world economy because people don’t want to learn anything else.
Yeah, agree. This is the sort of thing you release to build brand awareness and either offer a hosted option as a bonus or integrate into a larger stack. It is not the product. Someone will just make a better OSS option if they don't do it themselves.
This is such a sorely needed point of integration. Cool to see Peter still shipping tools. It’s such a pity meta refuses to play ball like Telegram.
Either they’ll double-down and make this even harder -or- hopefully realise that WhatsApp is likely to be a really common control plane for AI systems in the next few years. Let’s hope the Llama energy strikes and it’s the latter.
whatsmeow is built and maintained by Beeper's bridge architect, Tulir Asokan, and is used by many Beeper users every day with no issues. It's at the core of our WhatsApp bridge: https://github.com/mautrix/whatsapp
Baileys is also a great library with a big community and one of the primary maintainers of that is also helping us with the bridge/whatsmeow. WhatsApp integration in our old app, Texts, was built with it: https://github.com/textshq/platform-whatsapp
I would recommend whatsmeow over Baileys just because we are actively involved and incentivized to keep that working perfectly, and have a lot of data points to detect any issues with it at scale.
The thing is that their tight control is precisely what makes whatsapp a spam free environment. You can't have a libre federated protocol AND have it be spam free.
As soon as you open up the api floodgate, you'll start to see nigerian prince agents on openclaw speed.
If we assume the current rate of 10x reduction every year or so, profitability is inevitable. It’s just a market-share cash-fight at the top right now.