Franklin Barto

Interested everything Data and AI

[Franklin Barto @FranklinKBarto]

23 images, Weighted average composite, sentinel-2, lots of data here

[SizweLo @SizweLo]

Instead of glorifying club DJs and podcast hosts, China is pushing researchers and scientists as celebrities

[OpenAI @OpenAI]

Now available: ChatGPT for Financial Services.

This is a tailored ChatGPT Work experience that combines built-in financial data with GPT-6 Astra’s reasoning.

Teams can develop research, build financial models, and create customized client materials.

https://t.co/6WP5OJdnE8

[Franklin Barto @FranklinKBarto]

@EvanMilenko Pretty cool

[Ryan Stephen @Ryan__Stephen]

playing with realtime diffusion ui

[Franklin Barto @FranklinKBarto]

Probably should give astra a try

[Xenova @xenovacom]

Simulating a fruit fly's neural network using custom WebGPU kernels, running locally in a browser.

The demo uses real connectivity data for 166,700 neurons from the MaleCNS connectome. Paint neurons and watch their activity drive the fly's movements.

Built with GPT-6 Astra.

[Franklin Barto @FranklinKBarto]

Jeez

[Chaofan Shou @shoucccc]

i interviewed a few new grads asking for $150k+ salary and had them to ssh into a server

three sent me their ssh private keys, two never heard of it, one tried to rdp the host, one gave me their computer's teamviewer token. some of them are phd btw.

[Franklin Barto @FranklinKBarto]

@keke4nene @Juanmanuel0812 @KenyanSays Take your xenophobia elsewhere, most Kenyans are smarter/smarter than that

[Freya Lawson @Freyabuilds]

🚨WOW 🚨

Elon Musk just dropped a serious warning:

“You have at most 10 years left to make money by selling your work.”After that, AI will handle most tasks — and paying someone for their time simply won’t make sense anymore.

The 200-year deal of trading your hours for a salary is ending.
And this shift is going to move more money than anything else in modern history.

Real question:
Are you still only selling your time… or are you already learning how to build income with AI?

[Lorwen Harris Nagle, PhD @LORWEN108]

Look closer.

This is what “change” looks like inside your brain:

1. Stop rehearsing disaster.

[Suffy 🦢 @drsuffy]

Chief engineer at Honda BTW

[lynk @lynk0x]

Be delusional.

[@levelsio @levelsio]

Meta staff DM'd me secretly

Posted with permission

Meta is ALLEGEDLY building their own Google search engine, so that if their AI does a web search it doesn't end up at Google, as Google could then use it for THEIR training, so they want their own web index that they will then use as their own Meta search engine for their AI

Interesting 🤔

[Franklin Barto @FranklinKBarto]

Huge thanks to RIKEN CCS for the opportunity to sit in on lectures, learn computer architecture from top experts, and explore supercomputers and quantum computing!

[Husk @huskirl]

I’ll let you know how it goes

[shirish @shiri_shh]

It's a Harvard Case study waiting to be written.

they'll teach figma in b-schools the same way they teach Blackberry

[Franklin Barto @FranklinKBarto]

@RaminNasibov Human dumber and faster, product better😅

[Franklin Barto @FranklinKBarto]

@justbyte_ 8gb, is very usable if you have servers, 16gb bare minimum, 24-32gb recommended, 64+ nice to have

[stevibe @stevibe]

Qwen3.6 35B-A3B dropped yesterday, so I ran it on 4 GPUs to see how it performs:

🟣 RTX 3090 — 49.78 tok/s, TTFT 852ms
🟡 RTX 4090 — 118.93 tok/s, TTFT 686ms
🟢 RTX 5090 — 160.37 tok/s, TTFT 409ms
🔵 DGX Spark — 59.98 tok/s, TTFT 228ms

I went with ollama as the backend because honestly, it's the easiest way for most people to get started. One command, model pulled, done.

I used Q4_K_M (24GB) across all four cards. The reason is the 3090 and 4090 don't support NVFP4 (only the 5090 and DGX Spark could use it). Keeping the same quant everywhere felt like the fairest way to compare.

And yes, you can absolutely squeeze more performance out of every card with vLLM, SGLang, or TensorRT-LLM. But that's not what this test is about. This is just the out-of-the-box experience for folks who own a GPU and want to try the new model tonight.

[Franklin Barto @FranklinKBarto]

Experimenting with my mini pc has been an amazing experience so far.

Just need some GPU/ram upgrades now

[Matthias Niessner @MattNiessner]

📢GaussianGPT: autoregressive 3D Gaussian scene generation.

We introduce a GPT-style model that directly generates 3D Gaussian scenes, token by token, in a series of small, discrete decision steps. Generation, completion, and large-scale outpainting in a single pipeline.

Unlike diffusion-based approaches, GaussianGPT explicitly models the scene distribution at every step, allowing for quite flexible scene synthesis.

🌐 https://t.co/Ewv4CyLD2O
▶️ https://t.co/zKOugfD9gl

Great work by @nicolasvluetzow, @barbara_roessle, @katha_schmid