gordana neskovic

Data Scientist, using data to tell your product's story.

[Eric Schmidt @ericschmidt]

This is pretty extraordinary, and on an open model to boot.

[𝕺𝖉𝖎𝖓🍥 @0din00]

Boji li se Vučić da bi mogao izgubiti izbore? Maro Alavanja analizira situaciju u Srbiji | RTL Direkt

[The Кучкарка 🐕🐩🐾🐾 @poludomacica]

Kakav spot 😍😍😍
*NYC stands with students.

[𝕺𝖉𝖎𝖓🍥 @0din00]

Analiza predizbornih kampanja u Srbiji pred parlamentarne izbore 25.10.

"Vučić leti u automobilu iznad oblaka, priča sa kamenom za kupus, kupuje u seoskoj trgovini, čuva deda. On je konobar, mučenik, razume običnog čoveka. Kampanja kakvu još niste videli". 😂

#studentipobedjuju

[gordana neskovic @nesgor]

EAGLE-4 Delivers 2.7× Faster Decoding for NVIDIA Nemotron 3.5 Super VL in Preliminary Benchmarks https://t.co/tB5eI3L0uR via @EagleCorp

[NVIDIA AI @NVIDIAAI]

Big shoutout to all of our partners for making Nemotron 3.5 Super VL their own through post-training 🙌

Here’s what they’ve built 🧵

[GMI Cloud @gmi_cloud]

Proud to be a Day 0 partner for NVIDIA Nemotron 3.5 Super VL

Build agents that see, reason, and act across documents, images, GUIs, and video.

· 120B-A12B MoE
· Text, image, document, GUI, video input
· Hybrid Mamba-Transformer + MTP
· NVFP4 KV cache

Read more 👇

[CoreWeave @CoreWeave]

The @NVIDIAAI team shipped Nemotron 3.5 Super VL today, and you can call it now on CoreWeave Serverless Inference.

Send it text and images, build with supported reasoning, tool calling and structured outputs, and trace every call in CoreWeave Agent Lens.

It's a multimodal mixture-of-experts model with 12B active parameters, served in NVFP4.

Pricing per 1M tokens is $0.25 input, $1.50 output, and $0.05 cached input.

Try it here: https://t.co/MUfcALKOnu

[Together AI @togethercompute]

.@NVIDIA Nemotron 3.5 Super VL is now live on Together AI.

An open-weight multimodal model built for visual reasoning and always-on agents that see, reason, and act across documents, screens, and video.

[Lambda @LambdaAPI]

Nemotron 3.5 Super VL is the latest open model from @NVIDIA with vision built in natively (120B total, 12B active per token, 1M-token context, text + image + document + GUI + video input).

We benchmarked both deployment paths on Lambda with @sglang_proj:

* NVFP4 on 1× NVIDIA Blackwell GPU, 1,860 tok/s peak (C16), 587 tok/s/user (C1)

* BF16 on 2× NVIDIA Blackwell GPUs, 1,669 tok/s peak (C16), 530 tok/s/user (C1)

One NVIDIA Blackwell GPU at NVFP4 out-throughputs two NVIDIA Blackwell GPUs at BF16 on the same 8,192-in / 1,024-out workload, roughly 2.2× the per-GPU throughput, because Blackwell runs FP4 natively.

Both deployments run speculative decoding with multi-token prediction (EAGLE, 5 steps, 6 draft tokens).

Model card and full deployment instructions at https://t.co/aMVK4yeFOP

[DeepInfra @DeepInfra]

Up to 626 output tokens/s at 100K input, measured by @ArtificialAnlys on DeepInfra.

NVIDIA Nemotron 3.5 Super VL from @nvidia is live!

Build agents that read documents, screenshots and video, reason about what they see, and generate tool calls.

120B-A12B MoE. OpenAI-compatible API. Pay per token.
$0.20 in / $1.00 out | $0.10 cached per 1M

Try it → https://t.co/ooLhvcmQ61

[Nebius Token Factory @nebiustf]

Available on Nebius Token Factory from Day 0: NVIDIA Nemotron 3.5 Super VL

Built for agents that read documents, interpret charts and images, and combine reasoning with tool use to get work done.

Evaluate it on your workload: https://t.co/OCg0tOEYlh

[OpenRouter @OpenRouter]

NVIDIA Nemotron 3.5 Super VL is live on OpenRouter.

An open 120B-A12B multimodal model from @NVIDIAAI for long-running agents that see, reason, and act across text, images, documents, GUIs, and video. 1M context.

[friendliai @friendliai]

@nvidia Nemotron 3.5 Super VL is now available on FriendliAI 🚀

Super VL brings visual understanding, reasoning, and tool use together in an open multimodal  model.

What developers can build:

🔹 Document intelligence that reads tables, charts and complex layouts
🔹 Customer service agents that interpret images and documents
🔹 Visual agents that understand application interfaces

Under the hood: 120B total parameters, 12B active, hybrid Mamba-Transformer architecture and multi-token prediction.

Deploy on Friendli Dedicated Endpoints and evaluate Super VL on your own workloads, with high-throughput MoE inference and a 99.99% uptime SLA.

Explore the model 👉 https://t.co/2cxICAvP4C
Read the technical blog 👉 https://t.co/OLr11m2peM

[fal @fal]

Nemotron 3.5 Super VL is live on fal.

A powerful open-weight multimodal model with 120B total parameters and 12B active per token, built for visual reasoning and agentic workflows.

Explore:
- Images, documents, and video understanding
- Visual reasoning and tool calling
- Document intelligence and AI agents

[Nscale @nscale]

Now available on Nscale: @NVIDIA Nemotron 3.5 Super VL.

Build agents that understand documents, screenshots and video, then use that context to reason and call tools.

Deploy on reserved GPU capacity with Nscale Dedicated Inference.

Request access: https://t.co/DFnLUgn3d9

[NVIDIA @nvidia]

Today, we’re expanding our Nemotron family of open models with Nemotron 3.5 Super VL. 

Bringing visual understanding, reasoning, and tool use together to help AI agents complete more work in less time. 

Open models ➡️ more control to customize, deploy, and build on your own terms.

Dive into what’s new:

[NVIDIA AI @NVIDIAAI]

Agents may need to read documents, interpret charts, and search the web to complete a task.

Nemotron 3.5 Super VL brings text and visual understanding into one model, reducing the need to pass context between separate text and vision models.

[Peter Girnus 🦅 @gothburz]

I am a member of the Norwegian Nobel Committee.

There are five of us. Five people, appointed by a parliament most of the planet could not find on a map, who decide, once a year, which human being the world has agreed to call good.

I know. I know. I think about it on the tram.

We meet in a building on Henrik Ibsens gate, a street named after a man who wrote almost exclusively about people discovering they are frauds, which nobody on the committee finds funny except me. There is a room with a long table and the portraits of the dead laureates looking down, Mandela, the Dalai Lama, a great many earnest men in spectacles, and one portrait we do not discuss, which is Kissinger, 1973, awarded while the bombs were still falling, after which two of our predecessors resigned and the satirist Tom Lehrer said political satire was now obsolete. We keep him on the wall. A reminder. Every family has the uncle.

It is October in Oslo, which means the sun gives up around four in the afternoon like a civil servant, and it rains the particular Norwegian rain that isn’t quite falling, just hanging there, judging you. I arrive with wet shoes. I always arrive with wet shoes. There is coffee, because this is Norway and there is always coffee, we drink more of it per person than almost anyone alive, and someone’s wife has sent kanelboller, the cinnamon buns, and we sit, five Norwegians, damp, caffeinated, sugared, and we decide the moral standing of the entire species.

Let me tell you how it actually works, because the world imagines a cathedral and it is, I promise you, a book club with a mandate.

287 nominations this year. 208 people, 79 organizations. Anyone can nominate, that’s the secret nobody understands: a professor, a parliamentarian, a former laureate, so the “nominee” list is meaningless, it’s a suggestion box, and every autumn some congressman nominates his own golden retriever and the press writes “SHORTLISTED.” Nobody is shortlisted. There is no short list the public ever sees. There is us, and the coffee, and the rain, and the portraits, and a Norwegian stubbornness that is older than the prize itself.

We read reports. The institute’s advisers write them, thick dull documents, and we argue. Our chairman told the BBC once that in the final meeting “there is a high temperature.” High temperature, for a Norwegian, means someone slightly raised an eyebrow and then apologized for it. We don’t do high temperature. We do a long silence, and then Kristin says “well,” and everyone knows exactly what “well” meant, and it’s settled. That’s our shouting. “Well.” You’d have to be raised here to hear the violence in it.

Now. This year. I will not say the name, because we never say the name, but you know the name.

A certain head of state wanted this prize the way a child wants a thing in a shop window, which is to say loudly, and in public, and with the full belief that wanting it was itself the argument. He said he deserved it. He said he’d ended eight wars, a number that grew most times he said it, like a fish. He had other heads of state phone us. Israel’s prime minister posted it on the internet, “Give him the Nobel.” The leaders of Cambodia and Pakistan announced they’d nominated him, as though announcing it were part of it, as though we tally mentions. A man flew around the globe collecting endorsements for a Norwegian committee the way you’d collect signatures for a petition to the council about a noisy dog.

And here, uff da, is the detail I treasure, the one that makes me smile into my coffee. The nomination deadline is the 31st of January. He took office on the 20th. So for all the phone calls, all the posts, all the gilded lobbying, the only nominations that could possibly count for this year’s prize were filed in the first eleven days of his term, before he had, by his own arithmetic, ended a single one of the eight wars. He campaigned all year for a prize whose window had shut while he was still hanging up his coat. We didn’t have to reject him. The calendar did. We just watched. Norwegians are very good at watching. We have long winters.

People think we sit there weighing his deeds. We don’t. That’s the thing I can’t make the world understand. We’re not grading his homework. We don’t owe anyone the prize for a ceasefire, however real, however loud the announcement. “He made peace” is not a sentence that ends in a medal, the way he believes it does, the way he believes every good thing ends in his name on it. The will of a dead Swede says the prize goes to whoever did the most for fraternity between nations. A dead Swede, I should add, who made his entire fortune inventing dynamite and selling arms, and spent his last years horrified at his own obituary, which called him a merchant of death, and so bought his way to immortality as a man of peace. The whole prize is one guilty arms dealer’s attempt to launder his name. We are, all of us, administering a dead man’s public relations. I find this clarifying. It keeps me humble. It should keep everyone humble, and it keeps, by my count, no one humble at all.

So who did we give it to?

An eighty-five-year-old woman. A judge. Born in Durban, under apartheid, granddaughter of a Tamil man who came to South Africa as indentured labor, a bus driver’s daughter from the poor Indian quarter, who became the first non-white woman to run a law practice in her province, who defended Mandela’s people when defending them was dangerous, who sat on the Rwanda tribunal and the court at the Hague, and who, at eighty-five, is right now a judge weighing whether a genocide is a genocide. When we told the world, our chairman said the rule of law “underpins the system we have set up to ensure peace,” and that “peace requires justice.” She wasn’t even in Oslo. She was in Nuremberg. In courtroom 600. The actual room where they tried the Nazis. You cannot stage that. God staged that, and God, it turns out, is a better satirist than any of us.

She did not phone us. She did not post. No prime minister demanded it for her on the internet. She had, as far as our deliberations are concerned, the one qualification the loud man could never manufacture, which is that she wanted the work and not the medal. The medal finds those people. It flees the ones who chase it. This is not a rule we wrote. It’s just the only pattern the hundred-odd years of our mistakes has ever shown.

The reaction from across the ocean was immediate. His spokesman posted that we “place politics over peace.” Ja. Perhaps. We’re five damp pensioners in a rainy city; of course it’s political, it was always political, it was political when we gave it to a sitting American president nine months into his first term for the promise of things he had not yet done, and we have been quietly embarrassed about that one for fifteen years, so believe me, we had a particular reason this year to prefer a woman with fifty years of verdicts behind her over a man with eight wars in front of him and a deadline already behind him.

Here is what he will never understand, the thing I’d tell him on the tram if he ever took one. We are the one prize he cannot buy, cannot post his way to, cannot have a friendly dictator phone in for him. Not because we’re incorruptible, nei, we’re as vain and wrong and human as the portraits on our wall. But because the entire point of the thing, the only power a small cold country’s book club has ever held, is that it goes to the person not performing the wanting. The moment you demand it, you’ve proven you don’t understand what it’s for, and proving that is itself the disqualification. He ran the most expensive campaign in the history of the prize and the campaign was the reason. He was never losing to Navi Pillay. He was losing to the concept.

It’s dark now. Four o’clock dark. The buns are gone. Kristin said “well” an hour ago and we all went home. I’m on the tram with my wet shoes, and somewhere across the water a very powerful man is explaining to a camera that the prize is rigged, that we’re corrupt, that he’ll win it next year, and he genuinely might, we’re only five idiots and we’ve been wrong before, Kissinger is still on the wall.

But not this year. This year an old woman in Nuremberg, in the room where the law once stared down the exact kind of man who thinks wanting a thing loudly enough should make it his, got a phone call she didn’t ask for.

That’s the job. We don’t reward the man who ends the war and announces it.

We reward the woman who spent fifty years deciding what a war was.

He’ll never see the difference. That’s rather the whole point of him.

Takk for i dag. I have to change trams.

[DigitalOcean @digitalocean]

Now available: @nvidia Nemotron™ 3 Diarization on DigitalOcean Serverless Inference.

Open-weight streaming diarization that tracks who spoke when, up to 8 speakers in live or recorded audio. Drops in alongside the ASR you already run.

Start building: https://t.co/U09mgujj3R