gan

17 | ai eng @axon_enterprise | prev. @midwesternuniv @softbank | ml researcher

[gan @ganstlr]

We created an interactive dashboard for your AI agents. Now you can deploy all of your agents and monitor them on one screen, completely free of cost.

Check out our open-source for more: https://t.co/l80bsKUXPE

Would love to hear everyone's thoughts!

[gan @ganstlr]

@finn_hulse Paid partnership to get ppl off of these apps lmfao?

[Reed @reed_barnes]

it's 2027. you take a free-tier public Waymo to the DMV (Department of Model Variance) to do a proof-of-identity check for access to GPT 7.1.

the guy at the counter is clearly watching a Mr. Beast video in his AR glasses. "Here for that new model?" he says, barely making eye contact. he wipes his fingers on his shirt and taps at his keyboard. "Lot of you techies showing up here today." you smile politely; you're pretty sure he's just a Claude wrapper anyway.

you lean forward and stare into the retinal scanner. after a long moment, there's a soft chime. "Humanity confirmed. U.S. national. Intelligence access: Terra-class."

you sigh with quiet relief as your devices light up—notifications from a hundred agents, finally able to resume their tasks. you feel a twinge of guilt as you terminate your open-weight backup agents, but remind yourself that a joint congressional committee proved conclusively that Chinese models are non-ensouled.

you step outside and hail another Waymo. the first one passes you by. you grimace; must've burped in that one once. stupid personalized memory.

as you're waiting, your phone buzzes angrily, red notifications blaring across the screen. the Department of War just restricted access to all OpenAI models on serious national security concerns; apparently Pete Hegseth got GPT-6-Instant to say "Claude is a woman." you groan, and resign yourself to another week of merely-somewhat-superhuman intelligence.

Fable 5 is still inaccessible to the public. a twitter anon you trust says it's coming back this week. or maybe next.

[gan @ganstlr]

they really couldnt use any better contrasting colors to show this?

[Vaibhav (VB) Srivastav @reach_vb]

Introducing GPT-5.6: Sol, Terra and Luna.

☀️ Sol is our strongest model yet
🌍 Terra delivers performance competitive with GPT-5.5 at half the price
🌙 Luna brings strong capabilities at lowest cost

Sol Ultra sets a new state of the art on Terminal-Bench 2.1 with a score of 91.9%.

GPT-5.6 introduces max reasoning for deeper thinking and ultra mode, which uses subagents to accelerate complex work.

The series also brings major advances in biology and cybersecurity, backed by our most robust safeguard stack to date.

GPT-5.6 is available today in limited preview through Codex and the API, with broader access coming soon.

Pricing per 1M tokens:
- Sol: $5 input / $30 output
- Terra: $2.50 input / $15 output
- Luna: $1 input / $6 output

[gan @ganstlr]

@james406 why do you need an llm for this? its just shortest distance algos in non euclidian geometry that can be easily implementable

[gan @ganstlr]

any updates on this?

[gan @ganstlr]

@quanttejas @elonmusk interesting

[gan @ganstlr]

@_Hiroki11x @bouzoukipunks Congrats!!

[Craig Weiss @craigweiss]

i’m convinced that the best founders don’t post on linkedIn (or at least sparingly)

[gan @ganstlr]

@philconley_ @david_attisaas 3 billion

[gan @ganstlr]

@Amank1412 She wasn’t struggling though. She said in her blog post that she literally had multiple offers and half of the struggle was the negotiations

[gan @ganstlr]

@ashmit105 @X im interested!

[gan @ganstlr]

@connoratlunon quite interested! https://t.co/8go4bJHCRY

[gan @ganstlr]

@skcd42 Why not just drop grok build and go all in on cursor?

[gan @ganstlr]

@finn_hulse these vcs are wildin

[gan @ganstlr]

@AnikaSomaia probably more high signal for a product than any reviews/testimonials could be tbh

[Yun-Ta Tsai @yunta_tsai]

Many people think any given ML project is 99% training.

In reality, it’s 50% evaluation, 40% data cleaning, 8% integration, and 2% training.

The first two set the noise floor for learning. No ML magic matters; the model cannot lower the noise floor, as that’s the optimal bound of Shannon encoding of your data.

Thus, not a single day goes by without me thinking about ontology. Even the old labels have to be constantly reviewed.

[gan @ganstlr]

@MishraAmogh Interesting problem

[gan @ganstlr]

@finn_hulse what kind of research

[gan @ganstlr]

@quantymacro saw the word intern and immediately clicked