John T Davies 🇪🇺 @jtdavies
Entrepreneur, CTO in AI & FinTech, investor, father to 3 grown boys, husband to Rachel, astrophysicist, keen photographer, cyclist, über-geek, travelled a lot. johntdavies.com West London, England Joined August 2008-
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A superb evening with @starbuxman and his lovely partner in San Francisco. Between cocktails we managed to cover Spring AI and Embabel. It seems we’re both speaking at @Devoxx later this year!
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Working perfectly on my Mac, albeit slow for the moment but very impressive. CC @Prince_Canuma for MLX.
Working perfectly on my Mac, albeit slow for the moment but very impressive. CC @Prince_Canuma for MLX.
Two very enjoyable days in St. Pete, Florida with friends on the weekend, just landed in San Francisco, back to work, kyb, compliance, cryptography and AI, well almost work 😎
I’m heading to the Bay Area! I’ve got a pretty busy start of the week but Thursday evening and Friday are looking good. Hoping to catch up with some colleagues, let me know if you’re around, would love to talk LLMs & AI (over🍺&🍸).
Just arrived in New York, one thing I really don’t miss is the 2+ hour immigration line and officer with no sense of humour. Now in serious need of a negroni, or perhaps a margarita, no a whisky sour… Watch this space!
I'm heading to New York this weekend and will be there for a week (SF the following week). Some pretty crazy meetings with "entities" looking after trillions (not billions), sadly I can't say more. However, image global finance with private AI models executing zero-knowledge (zk)…
I'm running another LLM training course, this time in London. Please see my LinkedIn post below. linkedin.com/feed/update/ur…
Ok, this is old news in AI terms but I read Sam’s claim “and a smaller one that runs on a phone”. Ternary quantisation (1.58 bit) would leave you with a 4 to 5GB model, especially without the Phi 4 tokeniser. So I guess it’s technically feasible.
Ok, this is old news in AI terms but I read Sam’s claim “and a smaller one that runs on a phone”. Ternary quantisation (1.58 bit) would leave you with a 4 to 5GB model, especially without the Phi 4 tokeniser. So I guess it’s technically feasible.
Downloading the beast, already got the 20b. Welcome back to "Open" OpenAI. Let's see if you've got what it takes, very welcome news and thanks to everyone involved. Available on @ollama and @lmstudio too, waiting for MLX. huggingface.co/openai/gpt-oss…
Here we go again, I guess the @Alibaba_Qwen team worked through the weekend, we have Qwen-Image. As usual, competing more than favourably against SOTA models like FLUX, GPT and BAGEL, great text rendering too. huggingface.co/Qwen/Qwen-Image
Next week (of 11th) I will be in New York. I would love to catch up with my (old) fintech colleagues and anyone deep into AI. Please DM me and I’ll arrange a meet-up one evening. Week of 18th in the Bay Area.
Why not just buy some Mac Minis and use the Qwen3-Coder-30B model on MLX? You have a more scalable cost model.
Why not just buy some Mac Minis and use the Qwen3-Coder-30B model on MLX? You have a more scalable cost model.
If this is OpenAI’s new OS model it’s going to be tough to run on anything but a top spec machine. It will be interesting to see (if it’s real) how it stacks up to the Qwen3 models. Either way, it will be welcome.
If this is OpenAI’s new OS model it’s going to be tough to run on anything but a top spec machine. It will be interesting to see (if it’s real) how it stacks up to the Qwen3 models. Either way, it will be welcome.
Asteroids, fully functional, 107 toks/sec, over 600 lines in under a minute on a laptop. Qwen3-Coder-30B-A3B-Instruct-4bit on MLX. This is the worst it's ever going to be! linkedin.com/feed/update/ur…
Spot on Wolfram and nice work!
Spot on Wolfram and nice work!
I agree with the points, especially #6.
I agree with the points, especially #6.
A few months back OpenAI talked about an open model. Qwen3 has not only filled the top spot, they’ve dominated thinking and instruct with 235B and 30B LLMs along with translate and coding models too. Several releases a week, true AI innovation.
A few months back OpenAI talked about an open model. Qwen3 has not only filled the top spot, they’ve dominated thinking and instruct with 235B and 30B LLMs along with translate and coding models too. Several releases a week, true AI innovation.
Same here Eric, this may be another nail in their coffin along with GLM 4.5, Qwen3 and Kimi K2. I’ve been a huge fan of sonnet and Opus but things move fast in AI.
Same here Eric, this may be another nail in their coffin along with GLM 4.5, Qwen3 and Kimi K2. I’ve been a huge fan of sonnet and Opus but things move fast in AI.
Josh Long @starbuxman
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