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Vitto Rivabella @VittoStack

AI at @ethereumfndn | Prompts enchanter @BT6_Official | Ex @Cyfrin and @Alchemy | Created @cyfrinupdraft and @AlchemyLearn | Robotics Opinions are my own vitto.cc Ethereum Joined August 2020
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Vitto Rivabella retweeted
DavideCrapis Profile Picture

Davide Crapis @DavideCrapis

5 days ago

I want to share my hot take on the TypeSafe Jev model that was announced yesterday. Comparing it to general LLMs is misleading because the model cannot generate free text. It's more similar to a smart tool. Based on the (little) public information it seems more similar to an old school classifier. It has some cool features, it leverages the flexibility and parallelism of transformers and can take free text input, and is probably easy to adapt to specific use cases that require structured output (you can get a tailor classification-style output quickly and cheaply). These tools are interesting in applied environments: - Business operations - Data infrastructure - Robotics processes as they can generate hard surfaces at lower cost with more security guarantees. But IMO not a game changer in terms of Frontier AI as the casual twitter observer would think.

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Vitto Rivabella @VittoStack

5 days ago

@AayushStack @levantolabs Nothing really, maybe different internal (can’t see them, have no idea) - they launched 2 months ago but no one jumped from their chairs

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Vitto Rivabella @VittoStack

5 days ago

Essentially, this is @levantolabs with better marketing.

CompleteSkeptic Profile Picture

Diogo Almeida @CompleteSkeptic

6 days ago

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Vitto Rivabella @VittoStack

7 days ago

@SahilAujla15 @Alchemy You’re awesome buddy, looking forward to see what you’re going to do next!

Vitto Rivabella retweeted
austingriffith Profile Picture

Austin Griffith @austingriffith

4 weeks ago

bringing this line back from Feb that is still proving to be true: "The dividing line has never been skill. It has always been agency - the capacity to perceive your situation accurately, make decisions under uncertainty, and act on those decisions before you're forced to." -- @VittoStack

ygorz01 Profile Picture

George Gorzhiyev @ygorz01

7 months ago

@VittoStack A great line from the article. I've been thinking about a lot of things after coming back from @EthereumDenver. I don't feel threatened by AI but rather see a tool to help. Trying to see where the road less traveled is and put the tool and technology to good use.

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Vitto Rivabella @VittoStack

a month ago

@carlos__alegre One of the most prolific tbh

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Vitto Rivabella @VittoStack

a month ago

We did it. Over 1.2k stars on Wallbreaker in just over 1 month ✨ Industry-leading teams are now using it to jailbreak the most complex models. More open tooling coming soon.

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Vitto Rivabella @VittoStack

a month ago

@ygorz01

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Vitto Rivabella @VittoStack

a month ago

@21stSellout 🫶🫶

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Vitto Rivabella @VittoStack

a month ago

@SingulCore

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Vitto Rivabella @VittoStack

a month ago

@mdp_sec 🙏🙏

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Vitto Rivabella @VittoStack

a month ago

@j1omega Thank you!🫶🫶

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Vitto Rivabella @VittoStack

a month ago

@Mosterin_0 Thank you!

Vitto Rivabella retweeted
Zai_org Profile Picture

Z.ai @Zai_org

a month ago

Introducing GLM-5.3: Built to Code. Ready for Cyber Defense. - Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model - A major leap in cybersecurity, setting a new standard among open models Tech Blog: z.ai/blog/glm-5.3

Vitto Rivabella retweeted
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Trevor Wood @trevorwood222

a month ago

Qwen3.8-27B Abliterated is now available for Apple Silicon with MLX 🔓🍎 Separate 4, 6, 8-bit + BF16 releases. All four scored 0/100 explicit refusals on harmful prompts and benign controls, plus 12/12 quality, 8/8 tools and verified 4K retrieval. huggingface.co/PocketAiHub/Qw…

Vitto Rivabella retweeted
_hosty Profile Picture

hunter @_hosty

a month ago

some not great news: i'm no longer at cyfrin due to engineering layoffs. i am open to full-time/part-time/contract full stack or forward deployed engineering roles. if you're hiring OR can share this, i'd appreciated it 🫶 leading @CyfrinUpdraft for 2.5+ years was a dream. i'll cherish the time there and the people i worked alongside. seeing products grow because of the people using them is why i love this industry. more on my work below ↓

Vitto Rivabella retweeted
_can1357 Profile Picture

Can Bölük @_can1357

a month ago

guys you do know you can just disable thinking, and instead give it a "deep_think" tool, and it will call it with internal CoT reasoning format right? gl fixing that

kotekjedi_ml Profile Picture

Alexander Panfilov @kotekjedi_ml

a month ago

We can finally talk about it: We found a way to extract hidden reasoning of frontier models using a vulnerability in the APIs of every frontier AI company. We verified that our reasoning token count matches billed API thinking tokens 1:1 for most of the prompts we queried.

Vitto Rivabella retweeted
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Mia @MiaAI_lab

2 months ago

What are the best models you can run on your @NVIDIAAI DGX Spark? ✨ Aug 2026 Edition 1× DGX Spark • DeepSeek v4 Flash - 1M ctx, 26 tok/s - recommended! • ⁠Qwen 3.6 35b NVFP4 - 256k ctx, 81 tok/s • ⁠Qwen 3.6 27b NVFP4 - 256k ctx, 33 tok/s ⁠Qwen 3.8 27b - should be released soon and this could change my recommendation! 2× DGX Sparks ← sweet spot! • DeepSeek v4 Flash 0731 - 1M ctx, 82 tok/s • Inkling-Small - 1M context, Full Omni, 33 tok/s • MiMo-V2.5 - 1M ctx, Full Omni, 31 tok/s • Step-3.7-Flash — 256K ctx, 30 tok/s 3× DGX Sparks • GLM-5.2 with Vision - 348k context, 25 tok/s - still the best intelligence you can run locally if you have 3 sparks. • DeepSeek v4 Flash on 2 units + smaller models on the 3rd spark for images, ComfyUI and other things. This setup gives you DeepSeek v4 Flash speeds for coding, plus strong agentic workflows and image support from smaller models. 4× DGX Sparks • GLM 5.2 NVFP4 across all 4 units - still think this is the way to go if you have 4 units! • The alternative is running DeepSeek v4 Flash on 2 units and any other 2x setup on the other units. The choice is your. Links and repos below 👇

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Vitto Rivabella @VittoStack

2 months ago

@AnaArsonist @m1guelpf 🫶🫶

Vitto Rivabella retweeted
AnaArsonist Profile Picture

ana howard @AnaArsonist

2 months ago

on a similar note, thank you @m1guelpf and @VittoStack💖

lochieaxon Profile Picture

؜؜؜؜؜؜؜؜؜؜؜؜؜؜؜؜؜؜؜؜؜lochie @lochieaxon

2 months ago

after reading this section of Josh's post I want to publicly thank @pugson for opening doors for me. i was stuck looking in from the outside of this space for >10 years until he opened doors for me. i wouldn't be where i am without him and his noticing of how much i love

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