AI Video Generation: Cinematic Videos from Text
Product P-Video-2-Pro generates a cinematic video from text, a first-frame image, or the first and last frames. Picture and sound in one clip, up to 15 seconds. Speed from $0.02/s of output video.
Key Points:
AI Video Generation: P-Video-2-Pro uses AI to generate cinematic videos from text, images, or frames, providing a unique way to create engaging content.
Video Speed and Quality: The tool offers speed from $0.02/s of output video and can produce high-quality videos up to 15 seconds long.
Real-World Applications: This technology has various applications, including advertising, education, and entertainment.
🔗 Resources:
- Original post
- PrunaAI
- P-Video-2-Pro
- AI video generation tool for cinematic videos
Dynamic Pricing for Preemptible VMs on Nebius
From October 8, the price for preemptible VMs on Nebius will be calculated dynamically from available capacity and demand, per GPU type and region, instead of a discount.
Key Points:
Dynamic Pricing: Nebius introduces dynamic pricing for preemptible VMs, adjusting prices based on available capacity and demand.
GPU Type and Region: Prices will vary by GPU type and region, providing more flexibility for users.
Cap What You Pay: Users can set a cap on their spending to avoid unexpected costs.
🔗 Resources:
- Original post
- Nebius
- Preemptible VMs
- Dynamic pricing for preemptible VMs
Jamming Beats Shooting in the Swarm
29 countries have tried to bring down the swarm, with 2,158 attacks later, the pattern remains the same: 73% jamming, 8% shooting. Players work out that jamming beats shooting, and most finish with half their shots unused.
Key Points:
The Swarm: The swarm is a complex system that has been attacked by 29 countries, with a consistent pattern emerging.
Jamming vs. Shooting: Jamming is more effective than shooting, with 73% of attacks using jamming and 8% using shooting.
Real-World Implications: This finding has significant implications for real-world systems and strategies.
🔗 Resources:
- Original post
- Lagrange Dev
- The Swarm
- Jamming beats shooting in the swarm
Builders & Brews SF: A Stop on the 20-City Cafe Tour
Nebius, Tavily, and Replit are partnering for Builders & Brews SF, a stop on their 20-city cafe tour for AI builders. Join us October 9, 3-9 PM - RSVP here: https://luma.com/tavily-u13g
Key Points:
Builders & Brews SF: This event is part of a 20-city cafe tour for AI builders, providing a unique opportunity for networking and learning.
Partners: Nebius, Tavily, and Replit are partnering for this event, bringing together experts in the field.
RSVP: RSVP here to secure your spot at the event.
🔗 Resources:
- Original post
- Merge API
- Builders & Brews SF
- 20-city cafe tour for AI builders
Olas-Predict-R1-14B: An Open-Weight Reasoning Model
Introducing Olas-Predict-R1-14B: an open-weight reasoning model with forecasting performance on par with the much larger closed-source models. Olas prediction trader agents generated the data.
Key Points:
Olas-Predict-R1-14B: This model is an open-weight reasoning model that achieves forecasting performance comparable to larger closed-source models.
Data Generation: Olas prediction trader agents generated the data used to train this model.
Real-World Applications: This model has significant implications for real-world forecasting and decision-making.
🔗 Resources:
- Original post
- Autonolas
- Olas-Predict-R1-14B
- Open-weight reasoning model
Competing with Larger Commercial Closed Models
Small, specialized open-weight models can compete with larger commercial closed models. Olas-Predict-R1-14B achieved forecasting scores comparable to GPT-4.1 in this evaluation.
Key Points:
Open-Weight Models: Small, specialized open-weight models can compete with larger commercial closed models.
GPT-4.1: Olas-Predict-R1-14B achieved forecasting scores comparable to GPT-4.1 in this evaluation.
Real-World Implications: This finding has significant implications for real-world decision-making and forecasting.
🔗 Resources:
- Original post
- Autonolas
- Olas-Predict-R1-14B
- Competing with larger commercial closed models
Querying the Olas Mech Forecasting Tools
Olas-Predict-R1-14B now powers forecasting tools used by Olas Mechs. Each tool gathers evidence, builds a prompt, and queries the model to return a prediction to a trading agent.
Key Points:
Olas Mech Forecasting Tools: These tools use Olas-Predict-R1-14B to gather evidence, build prompts, and query the model for predictions.
Trading Agents: The predictions are returned to trading agents, providing valuable insights for decision-making.
Real-World Applications: This technology has significant implications for real-world forecasting and decision-making.
🔗 Resources:
- Original post
- Autonolas
- Olas Mech Forecasting Tools
- Querying the Olas Mech forecasting tools
Applications for SheBuilds Season 4
Applications for SheBuilds Season 4 are open. 72 hours. One idea. A real product at the end of it. Apply now: https://shebuilds.lovable.app
Key Points:
SheBuilds Season 4: This season of SheBuilds is now accepting applications.
72-Hour Challenge: Applicants have 72 hours to develop a product based on their idea.
Real-World Applications: This challenge has significant implications for real-world product development and innovation.
🔗 Resources:
- Original post
- Lovable
- SheBuilds Season 4
- Applications now open
Meet the Union AI Family
We have two habits: building agents for internal work and adding "y" to their names. Meet salesy, nodey, cally, mley, scouty, engy, sally, and prospecty. Yes, this is getting out of handy And where are we raising this little family? Right here on Union.
Key Points:
Union AI Family: This family of agents is built for internal work and has unique names.
Real-World Applications: This technology has significant implications for real-world automation and decision-making.
Union AI: This family is part of the Union AI platform.
🔗 Resources:
- Original post
- Union AI
- Union AI Family
- Meet the Union AI family
Read More & Connect
Interactive version: blogs.drix10.com
Written by Drishtant Ghosh (Drix10), a technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.
- Blog: blogs.drix10.com
- Portfolio: drix10.com
- GitHub: github.com/Drix10
- LinkedIn: linkedin.com/in/drix10
- X: @DrishtantGhosh
- Email: ggdrishtant@gmail.com
