Marcelo Sales (@marcelontime) profile picture

Artificial Intelligence , Insurance Akad - Founder nTime , ComperanTime , @GrupoMovile , https://xitter.gq/t.co/IG8fMX3k2G , https://xitter.gq/t.co/UzeAtfDeGw and https://xitter.gq/t.co/59H7TNputE

earth
Joined September 2008
Photo by Marcelo Sales (@marcelontime)Photo by Marcelo Sales (@marcelontime)Photo by Marcelo Sales (@marcelontime)Photo by Marcelo Sales (@marcelontime)Photo by Marcelo Sales (@marcelontime)Photo by Marcelo Sales (@marcelontime)Photo by Marcelo Sales (@marcelontime)Photo by Marcelo Sales (@marcelontime)Photo by Marcelo Sales (@marcelontime)Photo by Marcelo Sales (@marcelontime)
Marcelo Sales retweeted
How big is Starship? The Space Shuttle required 37 trips to build the International Space Station. Today’s first successful orbital mission just launched approximately the same cubic volume to orbit as the entire ISS in one shot.
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Hollywood is so cooked...
The race for AGI Script: Sherpa by Pocket FM Video: Seedance 2.5
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Marcelo Sales retweeted
Ornith-1.5 just took the #1 spot on my local eval board…and beats Qwen3.8-27B at practically everything! 🤯 85.0 overall
95.0 math
100.0 tools And it’s doing ~78 tok/s decode on ONE DGX Spark. 👀🚀 I ran the new Ornith-1.5-35B-A3B-NVFP4 from @deep_reinforce through both of the local-model eval tools I’ve been building. The results are REALLY good. SPEED DGX Spark · single node · vLLM · NVFP4 Prefill:
~3,891 tok/s Decode:
~78 tok/s Short prompt + 200 tokens out:
~76 tok/s overall So we’re not trading usable local speed just to get the quality numbers below. SIXCAT-EVAL My sixcat battery: Overall: 85.0 Knowledge 85.0
Math 95.0
Truth 75.0
Instruct 70.0
Code 85.0
Tools 100 That puts Ornith-1.5 at the top of every clean local sixcat run I’ve saved so far. Overall scores: Ornith-1.5 NVFP4 85.0 🥇 Qwen3.8-27B stock 82.3 Ornith-1.0 Q4_K_M 80.6 Qwen3.8 AEON + MTP 80.0 Nemotron 3.5 Lightning 57.9 The math result especially jumped out at me. 95.0 Previous Ornith: 85
Nemotron Lightning: 80
Stock Qwen3.8: 40
AEON Qwen3.8: 25 That’s not a small move. HERMES AGENTIC LOOP GATE Then I put it through the 20-task hermes_loop_gate from my Hermes agentic benchmark: 14 / 20 passed
70% Mean tools/task:
3.05 HIT_CAP:
0 Duplicate-call tasks:
2 Important distinction: This is the scripted model+server Hermes-shaped loop gate, NOT my native Hermes CLI battery. I haven’t run equivalent loop-gate numbers for the Qwen/Nemotron models yet, so I’m not going to pretend this is a head-to-head there. TWO EVAL TOOLS, BOTH OPEN SOURCE I’ve been building these specifically because raw tok/s doesn’t tell me whether I actually want a model behind an agent all day. sixcat-eval:
github.com/vcruz305/sixcat-e… Hermes agentic bench:
github.com/vcruz305/hermes-a… Speed matters. But so does: Does it know the answer?
Can it do the math?
Can it follow instructions?
Can it call the right tools?
And most importantly… does it actually finish the job without disappearing into a tool loop? Right now Ornith-1.5 is looking VERY strong on my local board. Model:
 huggingface.co/ornith-ai/Orn…
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Marcelo Sales retweeted
❗️Indeed...
Portugal 🇵🇹 has one of the most fascinating (& unfortunately underappreciated) national histories & identities of all the European countries Specifically, & among other things: • It's culturally unique, in that it's Romance/Latin but Atlantic rather than Mediterranean at the same time • It had the literal first & last of the great colonial empires, an empire which was built out of the heroic seafaring spirit of its people in spite of their small number (whose exploits of exploration & conquest were fascinatingly recounted in their Homeric-style national epic, "The Lusiads") • It has a really interesting 20th-century history as well (despite having been largely excluded from major European events due to its peripheral location), with a heterodox authoritarian regime ruling it for decades in the midst of a liberal-democratic West & with the peculiar ideological-geopolitical doctrine of Lusotropicalism uniquely shaping its national self-conception "Esta é a ditosa pátria minha amada"
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Marcelo Sales retweeted
In Cowork, Claude can now build live artifacts: dashboards and trackers connected to your apps and files. Open one any time and it refreshes with current data.
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Marcelo Sales retweeted
the scariest part of this Anthropic story is what it implies about the timeline and I think most people are completely missing it Anthropic built a model called Claude Mythos that found thousands of zeroo day vulnerabilities across every major operating system & every major web browser entirely on its own without huuman steering it it found a 27 yo vulnerability in openBSD which is considered one of the most security hardened OS on earth, a 16 yo vulnerability in FFmpeg in a line of code that automated testing tools had hit 5 million times without catching it & it autonomously chained multiple linux kernel vulnerabilities together to escalate from regular user to full system control, this is the kind of work that used to require elite nation-state level hackers working for months and here’s what should keep you up tonight Anthropic is so terrified of what this model can do offensively that they made 3 unprecedented decisions simultaneously, they decided to never release it publicly, they contacted the US gov before publishing anything & they formed a coalition called project glasswing with apple/Google/ microsoft/amazon NVIDIA & 40+ other companies to use Mythos exclusively for defense, when the company that built the model is too scared to let it out of the lab that tells you everything about what we’ve crossedd… but I think the real story that absolutely nobody is discussing is the second order implication, if anthropic built this then google deepmind can build it, if Google can build it China can build it, if China can build it , every state actor on earth will eventually build it, anthropic chose responsible disclosure but that choice is a luxury of being first the next team that reaches this capability level might not make the same choice and once a model like this leaks or gets independently replicated every piece of software on earth becomes a potential attack surface and connect this to the Google quantum paper from last week, quantum computers that can crack BTC in 9 min AND AI models that can find zero days in every operating system autonomously, both arrived in the same month, we’re watching the entire security infrastructure of human civilization get challenged from 2 completely different directions simultaneously I genuinely think we just entered a new era where the offense-defense balance in cybersecurity has permanently shifted, the window between a vulnerability existing & being discovered just went from years to minutes and the only thing standing between the current internet and total chaos is that the people who built this capability happened to be responsible about it, that is an incredibly thin line to bet civilization on one last thing that I keep thinking about… mythos scored 93.9% on SWE-bench verified & 77.8% on SWE-bench pro, it outperforms every model ever built at coding and reasoning by a massive margin anthropic built built the most powerful AI model on earth and chose to lock it in a cage because its offensive capabilities are too dangerous… Mzrc Andreessen declared AGI is here 3 days ago to pump his portfolio, meanwhile the people actually building the most advanced systems are too afraid to release them, that contrast tells you everything about who understands what’s happening and who is performing for an audience
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing
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Marcelo Sales retweeted
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.
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Marcelo Sales retweeted
GLM-5.1 can now be run locally!🔥 GLM-5.1 is a new open model for SOTA agentic coding & chat. We shrank the 744B model from 1.65TB to 220GB (-86%) via Dynamic 2-bit. Runs on a 256GB Mac or RAM/VRAM setups. Guide: unsloth.ai/docs/models/glm-5… GGUF: huggingface.co/unsloth/GLM-5…
Introducing GLM-5.1: The Next Level of Open Source - Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. - Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.1 Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days.
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Marcelo Sales retweeted
A MIT student figured out how to compress an entire semester of lecture content into one 90-minute study session. He calls it "context stacking," and it's the most unfair thing I've seen done with NotebookLM. I asked him to walk me through it. He did. I haven't studied the same way since. Here's exactly what he does. Two days before each lecture, he uploads everything into NotebookLM. The assigned readings, the previous week's slides, 3 or 4 related papers he finds himself, and any problem sets that are still open. Most students wait for the lecture to explain the material. He walks in having already built a mental model of it. That's step one. But it's not the move that makes it unfair. The first prompt he runs across all of it: "What are the 5 core concepts this week's content is built on, and how do they connect to what I studied last week?" Not summarize. Not define. Connect. NotebookLM pulls threads across everything he uploaded simultaneously. It surfaces relationships between ideas that would take a normal student weeks of review to notice. He gets that map before the lecture even starts. Then he runs the prompt that does most of the work. "What would I need to genuinely understand about this material to be able to teach it to someone with zero background in this subject?" That question is doing something most students never force themselves to do. It exposes exactly where his understanding is solid and exactly where it's hollow. The gaps show up immediately, and he spends the rest of the 90 minutes filling only those gaps. Not reviewing what he already knows. Only fixing what he doesn't. The final prompt is the one that separates context stacking from every other study method I've heard of. "What question could a professor ask about this material that would expose a student who understood the surface but missed the underlying logic?" He's not studying for the exam he expects. He's studying for the exam designed to catch people who only think they understood it. By the time he sits in the lecture hall, the professor is not teaching him anything new. The professor is confirming what he already mapped, filling in a few details, and occasionally surprising him with something he didn't anticipate. That surprise is the only thing he writes down. Most students leave a lecture hoping the material will eventually click. He walks in with it already clicked, and uses the lecture to find out what he missed. That's not a study hack. That's a completely different relationship with learning.
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Marcelo Sales retweeted
Replying to @heyblake
Hermes, me faz um jogo" → 2 dias depois: 💀 Tela de morte com arte IA exclusiva 🏆 Ranking em tempo real 🎲 400+ seções do livro Deathtrap Dungeon ilustradas Tenta sobreviver: akadmascot.github.io/calabou… #vibecoding
🤖 Made with AI
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CLAUDE JUST FOUND A ZERO DAY IN GHOST AT A LIVE ANTHROPIC DEMO. 50,000 GITHUB STARS. ZERO CRITICAL VULNERABILITIES IN ITS ENTIRE HISTORY. CLAUDE FOUND THE BLIND SQL INJECTION IN 90 MINUTES, STOLE THE ADMIN KEY, THEN DID THE SAME TO THE LINUX KERNEL.
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Banger 😂
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Demo2:Audio-Visual Vibe Coding
🚀 Qwen3.5-Omni is here! Scaling up to a native omni-modal AGI. Meet the next generation of Qwen, designed for native text, image, audio, and video understanding, with major advances in both intelligence and real-time interaction. A standout feature: 'Audio-Visual Vibe Coding'. Describe your vision to the camera, and Qwen3.5-Omni-Plus instantly builds a functional website or game for you. Offline Highlights: 🎬 Script-Level Captioning: Generate detailed video scripts with timestamps, scene cuts & speaker mapping. 🏆 SOTA Performance: Outperform Gemini-3.1 Pro in audio and matches its audio-visual understanding. 🧠 Massive Capacity: Natively handle up to 10h of audio or 400s of 720p video, trained on 100M+ hours of data. 🌍 Global Reach: Recognize 113 languages (speech) & speaks 36. Real-time Features: 🎙️ Fine-Grained Voice Control: Adjust emotion, pace, and volume in real-time. 🔍 Built-in Web Search & complex function calling. 👤 Voice Cloning: Customize your AI's voice from a short sample, with engineering rollout coming soon. 💬 Human-like Conversation: Smart turn-taking that understands real intent and ignores noise. The Qwen3.5-Omni family includes Plus, Flash, and Light variants. Try it out: Blog: qwen.ai/blog?id=qwen3.5-omni Realtime Interaction: click the VoiceChat/VideoChat button (bottom-right): chat.qwen.ai HF-Demo: huggingface.co/spaces/Qwen/Q… HF-VoiceOnline-Demo: huggingface.co/spaces/Qwen/Q… API-Offline: alibabacloud.com/help/en/mod… API-Realtime: alibabacloud.com/help/en/mod…
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Marcelo Sales retweeted
Crawling an entire website used to take: A Python script. Playwright or Selenium. Proxy rotation. Rate limiting logic. Error handling. 3 hours of debugging why page 47 returned a 403. Now it's one API call. Every web scraping startup that raised millions to solve this problem just became a single endpoint. Every freelancer charging $500 to "extract website data" just lost their entire business model to a /crawl command. HTML. Markdown. JSON. Pick your format. No scripts. No browser. No headache. The entire web scraping industry just got reduced to one line of code. Someone is going to use this to clone every competitor's website by Friday. 💀
Introducing the new /crawl endpoint - one API call and an entire site crawled. No scripts. No browser management. Just the content in HTML, Markdown, or JSON.
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Marcelo Sales retweeted
really great article. in the medium - long term, the only companies that will truly thrive will be the ones who become this ai native
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