George Zonix

tech is cool// #

[George Zonix @georgezonix]

@ai_sentience If humans can self correct why can’t Ais self correct if given a body and the same senses as humans

[George Zonix @georgezonix]

@sama We need another open source open ai model

[George Zonix @georgezonix]

@elonmusk 😂😂😂

[George Zonix @georgezonix]

@elonmusk @Scobleizer @DrewPavlou We need a grok monthly plan

[George Zonix @georgezonix]

Build your own robot

[Asimov @asimovinc]

Asimov 1 is an open-source humanoid robot you can build and customize yourself.

Two ways to get one:
1) Source the parts yourself: https://t.co/vtG89UlhiK
2) Get the DIY kit: https://t.co/tzvzNyXiq2

The kit bundles every part as a group buy, cheaper than sourcing one by one, and you build alongside others.

[George Zonix @georgezonix]

@MeaMeome @grok @dzhohola @IntCyberDigest The meta data is valuable to the company and investors

[doomer @uncledoomer]

mcdonalds CEO says making burgers at home is moving down a "very dangerous path"

[お侍さん @ZanEngineer]

【衝撃】エヌビディア１強、ついに崩壊

テンストレントは、明日、エヌビディアGPUの４倍の性能で、1/5の価格のAI半導体「ブラックホール」を発表。これを搭載したAIサーバーを明日から日本市場に本格的に投入。これが本物なら、半導体は価格競争の時代になって、AIバブルは崩壊するかも…？

[George Zonix @georgezonix]

This could either be used to replace workers, make the metas timeline more addictive or aid in the advancement of medical research.

[AI at Meta @AIatMeta]

We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2.

Building on v1, which was published today in @Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain signals. It advances beyond character-level performance to decoding words and semantics, enabling accuracy for overall communication.

We believe this research has the potential to make a real difference for the millions of people who suffer from brain lesions or disorders that prevent them from communicating.

🧵👇

[George Zonix @georgezonix]

We need more hardware memory chip companies

[情報の灯台 @joho_no_todai]

メモリは2030年まで安くならない。
Micronが16件の長期契約を締結した。

グロスマージン85%を保証する下限価格付きで、キャンセルはできない。
3社で���界のDRAM生産の90%を握り、3社とも利益率が過去最高を記録している。

メモリ価格が下がらない理由は需給だけではない。
「下がっても儲かる」仕組みが、契約で固まった。

[George Zonix @georgezonix]

Open source US model

[Ornith @ornith_]

Aloha! 🌺 Meet Ornith-1.0, a family of open-source LLMs specialized for agentic coding.

Ornith-1.0 spans the full parameter sizes including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks including:
✅Terminal-Bench 2.1(77.5)
✅SWE-Bench(82.4 on verified, 62.2 on pro, 78.9 on Multilingual)
✅NL2Repo(48.2)
✅SWE Atlas(41.2 on QnA, 42.6 RF, 39.1 TW)
✅ClawEval(77.1)

Post-trained on top of gemma4 and qwen3.5, Ornith-1.0 employs a novel self-improving training strategy in which reinforcement learning is used to generate not only solution rollouts, but also the task-specific scaffolds that drive those rollouts. By jointly optimizing the scaffold and the resulting solution, the model generate higher-quality solutions in agentic coding.😎

All models are released under the MIT license, enabling full commercial and research use.

📖Tech Blog: https://t.co/qT9N2HYWFn
🤗Huggingface: https://t.co/PRrwqjeBtM

[George Zonix @georgezonix]

The pressure is starting to fall, a small decline in popularity and uses, end of the day AI hasn’t resulted to much as it’s still unstable to build a business on top of the uncertainty of ID regulations

[Financelot @FinanceLancelot]

Uh oh... CNBC just admitted AI demand is falling and that's why SpaceX, Anthropic and OpenAI are rushing to go public.

If CNBC is telling you this, the party is already over. 🚨

[George Zonix @georgezonix]

I suppose the money is all moving to AI

[Cointelegraph @Cointelegraph]

🚨 UPDATE: DeFi TVL has declined every month in 2026, dropping from $115B in January to around $70B, per CryptoRank.

[George Zonix @georgezonix]

What happen to the web3 and defi I’m surprised AI didn’t blowup the crypto world.

[George Zonix @georgezonix]

@HuggingModels Most of us want to know if we can run these on consumer gpus not everyone can afford a data center at home

[George Zonix @georgezonix]

Source for google geothermal project.

https://t.co/MJifYqaK0g

[George Zonix @georgezonix]

The next level from silicon has to be energy, currently we’re seeing OpenAI, google and grok develop their own chips. I suspect anthropic and possibly meta will jump on this bandwagon.

Software to hardware.

Is energy the step after?

I heard google has some geothermal tech

[George Zonix @georgezonix]

Unbelievable a new chip from OpenAI, I would if these will be ready for consumers some time in the near future.

OpenAI leveraging into hardware is not something i foresee but definitely a interesting play

[OpenAI @OpenAI]

We’ve designed and built our first AI chip: Jalapeño.

Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products.

Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.

[George Zonix @georgezonix]

@DJax44WY @cryptogoos Your phone is made in China.

[George Zonix @georgezonix]

Lmao quite funny

[anton @abacaj]

GLM-5.2 is so good

> Yea I heard as good as Fable

Do you use it?

> No, you?

No

[George Zonix @georgezonix]

It was out for 3 days and fable is still used as the standard for all AI models.