Shahar (🛰️,🎹)

Community and Startup Builder | Building l GTM AxionicLabs - Helping teams cut frontier inference cost without cutting quality.
ATL

[Shahar (🛰️,🎹) @ShaharAbrams]

Powerful super-intelligent systems should be accessible and safe for everyone.

@axioniclabs is working to make that vision a reality. We help teams build, deploy, and integrate custom adaptable small models into their stack.
👉🏼up to 100x cheaper than frontier inference
👉🏼 keep control of your proprietary workflow data
👉🏼adapt and learn new information without forgetting previous instructions
👉🏼remain aligned no matter what.

[Shahar (🛰️,🎹) @ShaharAbrams]

Too close to home 😂

[Bojan Tunguz @tunguz]

Our Anthropic overlords deciding which prompts the peasants are allowed to use.

[Shahar (🛰️,🎹) @ShaharAbrams]

“There is exactly one exit. Everyone gets access to capable, private, uncensored open models. Models you can run on your own hardware, where retention is whatever you say it is.”

This is exactly our missing at @axioniclabs

[Tony Davis @tony_davis_x]

@DavidSacks Totally agree and wrote this article on it last night

https://t.co/sAPGIoKdJj

[Shahar (🛰️,🎹) @ShaharAbrams]

@JunaidAckroyd We’re building models that learn without forgetting 🤝

[Shahar (🛰️,🎹) @ShaharAbrams]

Frontier models keep getting bigger... latest release of Fable 5 is 6 TRILLION parameters...

Most builders need lighter-weight options to actually run in production... and actually maintain data sovereignty.

That's why we created @axioniclabs

[Shahar (🛰️,🎹) @ShaharAbrams]

Gets expensive quick

[Peter Dedene @dedene]

POV: you're still using GitHub Copilot after June 1st, 2026

[Shahar (🛰️,🎹) @ShaharAbrams]

Don’t let it be you!

[shirish @shiri_shh]

Lovable CEO realizing their biggest model provider is now their biggest competitor.

[Shahar (🛰️,🎹) @ShaharAbrams]

@daicandev Yessir https://t.co/oaTQKAYVjx

[Shahar (🛰️,🎹) @ShaharAbrams]

If you want to cut your company's one-way reliance on the frontier model companies, reach out!

[Shahar (🛰️,🎹) @ShaharAbrams]

Powerful super-intelligent systems should be accessible and safe for everyone.

@axioniclabs is working to make that vision a reality. We help teams build, deploy, and integrate custom adaptable small models into their stack.
👉🏼up to 100x cheaper than frontier inference
👉🏼 keep control of your proprietary workflow data
👉🏼adapt and learn new information without forgetting previous instructions
👉🏼remain aligned no matter what.

[Shahar (🛰️,🎹) @ShaharAbrams]

They 100% believe they are creating God. Have been saying this for a while.

I don’t blame them. I think it’s humanity’s natural tendency to try and create God…

@harari_yuval called it firm imo.

[The All-In Podcast @theallinpod]

Bill Gurley: Anthropic Thinks It’s Building God

@Jason: It is the ultimate level of narcissism and delusion of grandeur to think you can create God.

@bgurley:

“Anthropic is a mystery to me. I've never, ever seen a company that is both leading their field and the most negatively outspoken commenter on what they do.

And my initial theory was the regulatory capture theory. Quite frankly, I think they're very close to achieving that.

But then they just got so loud that I've literally, in the past 30 days, read everything I can about Anthropic, and I've come up with a new theory.

I call it the Dr. Frankenstein theory.

The more I dig, I've met people who, I dare say, think it's their responsibility, and they're excited about, building a species that's superior to humans.

Dario wrote this blog post called ‘Machines of Loving Grace.’ It was based on a poem.

The last stanza of the poem says, ‘I like to think of a cybernetic ecology where we are free of our labors, and joined back to nature, returned to our mammal brothers and sisters, and all watched over by machines of loving grace.’

Sounds like an overlord to me.

And then in Dario's post, he says, ‘It could be a capitalist economy of AI systems which then give out resources to humans based on some secondary economy of what the AI systems think makes sense to reward in humans…’

So I don't think they think they're writing software. I think they're midwifing a deity here.”

Jason:

“These are delusions of grandeur. Let's call it what it is.

They believe that they're so powerful, these individuals, that they can create God, and that by creating God, they are like this Prometheus kind of species.

It literally is the ultimate level of narcissism and delusion of grandeur to think you can create God.”

[Shahar (🛰️,🎹) @ShaharAbrams]

@StartupASAP adaptable models that learn without forgetting

[Shahar (🛰️,🎹) @ShaharAbrams]

@muiz_rexhepi Adaptable AI models that learn without forgetting, and remain aligned no matter what

[Shahar (🛰️,🎹) @ShaharAbrams]

@KaiXCreator Adaptable AI models that learn without forgetting, and remain aligned no matter what

[Shahar (🛰️,🎹) @ShaharAbrams]

@brettcalhounn Adaptable SLMs that learn new information without forgetting, run at 100x less cost of compute and inference than frontier, and remain aligned no matter what.

[Shahar (🛰️,🎹) @ShaharAbrams]

This

[Itamar Golan 🤓 @ItakGol]

Me using Claude Opus 4.7 to center a div.

[Shahar (🛰️,🎹) @ShaharAbrams]

Very cool thread on AI Continual Learning

[axioniclabs @axioniclabs]

Continual learning is perhaps the largest open problem in AI today.

We are unveiling some early results on a new research technique intended to address catastrophic forgetting on small scale language modeling and agentic tasks by aligning model internals: https://t.co/etjdyzgNbF

[Shahar (🛰️,🎹) @ShaharAbrams]

Token costs for frontier models have gotten well out of hand, even for the big tech giants

[Hedgie @HedgieMarkets]

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.

My Take
The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.

This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.

Hedgie🤗

[Shahar (🛰️,🎹) @ShaharAbrams]

@NTmoney 👋

[Shahar (🛰️,🎹) @ShaharAbrams]

@WarrenDavidson I agree with all of this except banning digital Id…. digital Id is necessary and is not antithetical to our values if implemented correctly