🎊 Here's your first look at the new 3★ character!
Introducing [Succès Étoilé] Fuji Kiseki!
For details, please check the Featured Trainees section on the top right of the Scout screen, available from Apr 5 (UTC).
#Umamusume
Me hace muy feliz imaginar a lópez sintiendo terror por lo que le puede pasar a él y a su familia, y frustración por ver que su sexenio será recordado siempre como un régimen criminal
La idea de que dentro del ejercito mexicano haya un grupo organizado de leales patriotas listos para meterle un balazo en la cabeza de los narco zurdos da un poquito de esperanza.
Solo necesitan el empujon del dep de justicia USA descabezando la estructura corrupta que AMLO creo.
Uyy! Esto se va a poner bueno!
Que tremendo error intentar decirle a Trump y a MAGA que esta mal en sus intenciones 🤣
Ellos ven el riesgo del narco y el caballo de troya comunista de morena en su territorio.
Y el peje tratandl de darles atole? #passthepopcorn
‼️ HackerOne disclosed it was training its AI with "12+ years of real-world vulnerability data," and now is in damage control after backlash over how it marketed its new AI product.
That line set researchers off. Bug bounty hunters accused HackerOne of using researchers' reports and prior bounty findings to train its Hai agentic AI system, framing it as theft.
HackerOne answered the next day. It admitted the messaging "created confusion" and stated that researcher submissions are not used to train, fine-tune, or improve generative AI models. The company said this applies across H1 Continuous Testing, H1 Agentic PTaaS, and Hai, and that third-party model providers are barred from retaining or using researcher data for their own training. It said it updated its website language.
This week the platform launched H1 Continuous Testing, pitched as "continuous assurance built for how attacks actually work." Its own page says the product uses specialized AI agents to find, validate, and prove exploitable risk across applications.
The gap that remains: the marketing still credits "12+ years of real-world vulnerability data," while the denial is scoped tightly to training generative models. HackerOne has not said what that data set actually is, or how it differs from the submissions hunters spent more than a decade filing.
si fuera el CEO de la compañia cuyo valor es superior a la de la mitad de los paises del planeta, tomaria cerveza hasta en la banqueta de la casa blanca 🤣
El director general de NVIDIA, Jensen Huang, prefirió beber cerveza en el suelo de COMPUTEX 2026 y firmar servidores de inteligencia artificial antes que encerrarse en frías salas de juntas.
.@GoogleDeepMind's Gemma 4 - 12B is available on Ollama!
Chat:
ollama run gemma4:12b-mlx
Hermes Agent:
ollama launch hermes --model gemma4:12b-mlx
Claude Code:
ollama launch claude --model gemma4:12b-mlx
and more 👇👇👇
(Note, this currently works via MLX)
⚠️ New "IronWorm" supply-chain attack: 30+ npm packages from @ asteroiddao shipped a malicious Rust binary firing on preinstall.
It sweeps 86 env vars + 20 credential files (AWS, GCP, Vault, npm, plus AI keys like Anthropic & OpenAI), hits Exodus wallets, hides behind an eBPF rootkit, and beacons over Tor. Self-propagates via npm Trusted Publishing OIDC, with backdated commits faked as claude/dependabot/renovate.
🚀 Gemma 4 12B is here!
We partnered with @GoogleDeepMind to bring and optimize their new dense and unifed multimodal model for Apple Silicon.
◈ 12B dense · 256K context
◈ Thinking mode (built-in reasoning)
◈ Vision: dynamic res, OCR, UI + charts
◈ Native audio: ASR + speech translation
◈ Function calling for agents
◈ Text + image + audio, interleaved
Runs local. Get started now ⚡
> uv pip install -U mlx-vlm
https://t.co/7BvnEuzKvj
Gemma 4 12B is here!
Dense, mid-sized Gemma that fits right on your laptop - released by @google under Apache 2.0
Available now in LM Studio https://t.co/EgqHVOj2bY
@vhramosa yo de grande solo quería ser maestro pokemon... y heme aquí, tratando de localizar a un wy del otro lado del mundo para que me deje inspeccionar su PC a ver que rayos se le metió 🥺
As someone who:
> Hacked basically every component of openclaw's ecosystem (harness, skills ecosystem etc)
> Helped lead security, trust & threat modelling
> Found 15 CVE's in the software
Absolutely do not run OpenClaw on your enterprise device.
Los principales lideres del WWW han estado anunciando que adelantaran fechas para cumplir con ser compatibles con cifrado post cuantico.
En vez de esperar a los tiempos establecidos por NIST para el 2030-35, anuncian que tendran todo listo para el 2029.... y nos arrastra a todos