LarMedAI

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LarMedAI

LarMedAI

@larmedai

Stay updated with the latest AI news. On the Lär Med AI YouTube channel, you learn to use ChatGPT with practical examples and easy to understand answers.

Sweden Katılım Ekim 2023
226 Takip Edilen94 Takipçiler
LarMedAI retweetledi
TestingCatalog News 🗞
TestingCatalog News 🗞@testingcatalog·
Google continues working on Skills for Gemini Business and on deeper integration with NotebookLM, which is currently only available on the consumer version. NotebookLM everywhere 👀
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Google
Google@Google·
Your headphones just became a personal translator in 70+ languages. 🎧✨ Google Translate’s “Live translate” with headphones is officially on iOS. We're also expanding this capability to more countries around the world for both @Android and iOS users. To try it, open the Translate app, tap “Live translate” and connect your headphones.
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Paul Couvert
Paul Couvert@itsPaulAi·
Wait so Mistral has just released one of the best voice AI models... and made it 100% open weights?! Voxtral TTS has really good capabilities: → Only 4B parameters → Realistic speech in 9 languages → Clone any voice from a few seconds of audio → Capture personality, pauses, rhythm, emotions And it includes cross‑lingual voice adaptation (e.g., French‑accented English). Already available on HF.
Mistral AI@MistralAI

🔊Introducing Voxtral TTS: our new frontier open-weight model for natural, expressive, and ultra-fast text-to-speech 🎭Realistic, emotionally expressive speech. 🌍Supports 9 languages and accurately captures diverse dialects. ⚡Very low latency for time-to-first-audio. 🔄Easily adaptable to new voices

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François Chollet
François Chollet@fchollet·
ARC-AGI-3 is out now! We've designed the benchmark to evaluate agentic intelligence via interactive reasoning environments. Beating ARC-AGI-3 will be achieved when an AI system matches or exceeds human-level action efficiency on all environments, upon seeing them for the first time. We've done extensive human testing that shows 100% of these environments are solvable by humans, upon first contact, with no prior training and no instructions. Meanwhile, all frontier AI reasoning models do under 1% at this time.
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Aakash Gupta
Aakash Gupta@aakashgupta·
Someone just poisoned the Python package that manages AI API keys for NASA, Netflix, Stripe, and NVIDIA.. 97 million downloads a month.. and a simple pip install was enough to steal everything on your machine. The attacker picked the one package whose entire job is holding every AI credential in the organization in one place. OpenAI keys, Anthropic keys, Google keys, Amazon keys… all routed through one proxy. All compromised at once. The poisoned version was published straight to PyPI.. no code on GitHub.. no release tag.. no review. Just a file that Python runs automatically on startup. You didn’t need to import it. You didn’t need to call it. The malware fired the second the package existed on your machine. The attacker vibe coded it… the malware was so sloppy it crashed computers.. used so much RAM a developer noticed their machine dying and investigated. They found LiteLLM had been pulled in through a Cursor MCP plugin they didn’t even know they had. That crash is the only reason thousands of companies aren’t fully exfiltrated right now. If the code had been cleaner nobody notices for weeks. Maybe months. The attack chain is the part that gets worse every sentence. TeamPCP compromised Trivy first. A security scanning tool. On March 19. LiteLLM used Trivy in its own CI pipeline… so the credentials stolen from the SECURITY product were used to hijack the AI product that holds all your other credentials. Then they hit GitHub Actions. Then Docker Hub. Then npm. Then Open VSX. Five package ecosystems in two weeks. Each breach giving them the credentials to unlock the next one. The payload was three stages.. harvest every SSH key, cloud token, Kubernetes secret, crypto wallet, and .env file on the machine.. deploy privileged containers across every node in the cluster.. install a persistent backdoor waiting for new instructions. TeamPCP posted on Telegram after: “Many of your favourite security tools and open-source projects will be targeted in the months to come.. stay tuned.” Every AI agent, copilot, and internal tool your company shipped this year runs on hundreds of packages exactly like this one… nobody chose to install LiteLLM on that developer’s machine. It came in as a dependency of a dependency of a plugin. One compromised maintainer account turned the entire trust chain into a credential harvesting operation across thousands of production environments in hours. The companies deploying AI the fastest right now have the least visibility into what’s underneath it.
Andrej Karpathy@karpathy

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm. Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks. Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages. Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

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Google Labs
Google Labs@GoogleLabs·
Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow. 🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas. ⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system. 🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time. Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → stitch.withgoogle.com
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Alex Volkov
Alex Volkov@altryne·
"Every software company in the world, needs to have an @openclaw strategy" - Jensen at @NVIDIAAI GTC Framing OpenClaw as one of the most important open source releases ever, they have announced NemoClaw - a reference platform for enterprise grade secure Openclaw, with OpenShell, Network boundaries, security baked in.
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NotebookLM
NotebookLM@NotebookLM·
Here's the secret behind Cinematic Video Overviews: We put Gemini in the director's chair. This means that Gemini decides the best format (tutorial vs. documentary etc), visual style, and visual capabilities to tell the story of your sources. It then critiques its own footage, refining the visuals and narrative to ensure a seamless, consistent final cut. The result? A bespoke video that converts even the most mundane sources into an engaging, immersive story.
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NotebookLM
NotebookLM@NotebookLM·
Introducing Cinematic Video Overviews, the next evolution of the NotebookLM Studio. Unlike standard templates, these are powered by a novel combination of our most advanced models to create bespoke, immersive videos from your sources. Rolling out now for Ultra users in English!
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Chubby♨️
Chubby♨️@kimmonismus·
Gemini 3.1 Flash lite released and its next level price-performance-ratio Gemini 3.1 Flash-Lite, its fastest and most cost-efficient Gemini 3 model yet, built for high-volume developer workloads. Priced at just $0.25 per 1M input tokens and $1.50 per 1M output tokens, it delivers 2.5x faster time to first token and 45% faster output speed than 2.5 Flash, while achieving a 1432 Elo score and up to 86.9% on GPQA Diamond benchmarks.
Chubby♨️ tweet mediaChubby♨️ tweet media
Google DeepMind@GoogleDeepMind

Gemini 3.1 Flash-Lite is rolling out in preview today. Developers can start building via the Gemini API in @GoogleAIStudio. Find out more → goo.gle/3OO11NK

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OpenAI
OpenAI@OpenAI·
GPT-5.3 Instant in ChatGPT is now rolling out to everyone. More accurate, less cringe. openai.com/index/gpt-5-3-…
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Google DeepMind
Google DeepMind@GoogleDeepMind·
Gemini 3.1 Flash-Lite has landed. It’s our most cost-efficient Gemini 3 series model yet, built for intelligence at scale. Here’s what’s new 🧵
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Thariq
Thariq@trq212·
Voice mode is rolling out now in Claude Code. It’s live for ~5% of users today, and will be ramping through the coming weeks. You'll see a note on the welcome screen once you have access. /voice to toggle it on!
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Sundar Pichai
Sundar Pichai@sundarpichai·
Introducing Nano Banana 2, our best image model yet 🍌🍌 It uses Gemini’s understanding of the world and is powered by real-time information and images from web search. That means it can better reflect real-world conditions in high-fidelity. Check out "Window Seat," a demo using Nano Banana 2’s world understanding to generate more accurate views from any window in the world, pulling live local weather info with 2K/4K specs. The precision is mind blowing. Rolling out today as the new default in the @Geminiapp, Search (across 141 countries), and Flow + available in preview via @GoogleAIStudio and Vertex AI. Also available in Google @Antigravity.
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NotebookLM
NotebookLM@NotebookLM·
Slide Revisions are now 100% rolled out to ALL USERS!!! Go forth, and revise! 📝
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Claude
Claude@claudeai·
New in Cowork: scheduled tasks. Claude can now complete recurring tasks at specific times automatically: a morning brief, weekly spreadsheet updates, Friday team presentations.
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Aravind Srinivas
Aravind Srinivas@AravSrinivas·
What has Perplexity been up to last two months? We've silently been working on the next big thing: Perplexity Computer. Computer unifies every current capability of AI into a single system. Files, tools, memory, and models, orchestrated together, working for you.
Perplexity@perplexity_ai

Introducing Perplexity Computer. Computer unifies every current AI capability into one system. It can research, design, code, deploy, and manage any project end-to-end.

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