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Pentagon vs AI Guardrails: A $200M Standoff
The U.S. Department of Defense is pressuring top AI labs to allow their models to be used for “all lawful purposes” including weapons development, intelligence collection, and battlefield operations.
At the center of the dispute: Anthropic.
Here’s what’s happening:
What the Pentagon wants
• Broad authorization to deploy frontier AI models across classified and unclassified networks
• Fewer built-in guardrails on classified “secret” systems
• Assurance that models won’t refuse tasks mid-operation
From the military’s perspective, operational reliability is critical.
If a model declines a request during a live mission, swapping systems or renegotiating edge cases isn’t practical.
Where Anthropic draws the line
Anthropic is holding firm on two non-negotiables:
• No fully autonomous weapons
• No mass domestic surveillance of Americans
The company says discussions have focused on usage boundaries, not specific missions. But the Pentagon馃嚭馃嚫 Pentagon vs AI Guardrails: A $200M Standoff The U.S. Department of Defense is pressuring top AI labs to allow their models to be used for “all lawful purposes” including weapons development, intelligence collection, and battlefield operations. At the center of the dispute: Anthropic. Here’s what’s happening: What the Pentagon wants • Broad authorization to deploy frontier AI models across classified and unclassified networks • Fewer built-in guardrails on classified “secret” systems • Assurance that models won’t refuse tasks mid-operation From the military’s perspective, operational reliability is critical. If a model declines a request during a live mission, swapping systems or renegotiating edge cases isn’t practical. Where Anthropic draws the line Anthropic is holding firm on two non-negotiables: • No fully autonomous weapons • No mass domestic surveillance of Americans The company says discussions have focused on usage boundaries, not specific missions. But the Pentagon0 Commentarii 路0 Distribuiri 路49 Views 路0 previzualizare -
Google DeepMind evealed a major leap in AI reasoning.
Their internal model, “Aletheia,” built on Gemini Deep Think, is moving beyond Olympiad math into real-world scientific research. It reportedly scores up to 90% on IMO-ProofBench Advanced, tackles PhD-level problems, and applies scalable reasoning across domains.
But this isn’t just benchmark performance.
“Aletheia” has:
• Autonomously solved open mathematical problems including four from the Erd艖s database
• Contributed to publishable research papers
• Worked on challenges in algorithms, economics, ML optimization, and even cosmic string physics
Just 2.5 years ago, chatbots struggled with basic arithmetic. Now, we’re seeing AI operate as a scientific collaborator. This signals something bigger than better math skills.
We’re entering a new phase of the scientific workflow where AI acts as a force multiplier for human intellect:
• Handling large-scale knowledge retrieval
• Performing rigorous verification
• Stress-testing proof馃摙Google DeepMind evealed a major leap in AI reasoning. Their internal model, “Aletheia,” built on Gemini Deep Think, is moving beyond Olympiad math into real-world scientific research. It reportedly scores up to 90% on IMO-ProofBench Advanced, tackles PhD-level problems, and applies scalable reasoning across domains. But this isn’t just benchmark performance. “Aletheia” has: • Autonomously solved open mathematical problems including four from the Erd艖s database • Contributed to publishable research papers • Worked on challenges in algorithms, economics, ML optimization, and even cosmic string physics Just 2.5 years ago, chatbots struggled with basic arithmetic. Now, we’re seeing AI operate as a scientific collaborator. This signals something bigger than better math skills. We’re entering a new phase of the scientific workflow where AI acts as a force multiplier for human intellect: • Handling large-scale knowledge retrieval • Performing rigorous verification • Stress-testing proof0 Commentarii 路0 Distribuiri 路78 Views 路0 previzualizare -
ChatGPT prompts to help you learn anything 10x faster
1. Explain Like I’m 5
“Summarize [topic] in the simplest terms possible, like you’re explaining it to a 5-year-old.”
2. Visualize the Process
“Create a step-by-step mental image or visual map of how [concept] works.”
3. Break It Into Chunks
“Divide [topic] into 3–5 main parts and explain each part briefly.”
4. Relate to Real Life
“Explain how [topic] connects to daily life or a practical situation I might encounter.”
5. Teach It Back
“How would I teach [topic] to someone who knows nothing about it?”
6. Ask the Critical ‘Why’
“Why does [concept] matter, and what are its key implications in [field]?”
7. Find the Patterns
“What patterns, formulas, or rules can I extract from [topic] to remember it better?”
8. Simulate or Practice
“Give me a simple example, scenario, or exercise to apply [topic] right now.”
9. Use Analogies
“Compare [topic] to something familiar or unrelated to make it easier to understand.”
10. Break Myths馃 ChatGPT prompts to help you learn anything 10x faster 1. Explain Like I’m 5 “Summarize [topic] in the simplest terms possible, like you’re explaining it to a 5-year-old.” 2. Visualize the Process “Create a step-by-step mental image or visual map of how [concept] works.” 3. Break It Into Chunks “Divide [topic] into 3–5 main parts and explain each part briefly.” 4. Relate to Real Life “Explain how [topic] connects to daily life or a practical situation I might encounter.” 5. Teach It Back “How would I teach [topic] to someone who knows nothing about it?” 6. Ask the Critical ‘Why’ “Why does [concept] matter, and what are its key implications in [field]?” 7. Find the Patterns “What patterns, formulas, or rules can I extract from [topic] to remember it better?” 8. Simulate or Practice “Give me a simple example, scenario, or exercise to apply [topic] right now.” 9. Use Analogies “Compare [topic] to something familiar or unrelated to make it easier to understand.” 10. Break Myths0 Commentarii 路0 Distribuiri 路97 Views 路0 previzualizare -
A new SOTA image-editing model named FireRed-Image-Edit just got released.
Outperforms many top closed source options like Qwen-Image-Edit and Seedream 4.0, on GEdit benchmarks.
It’s a general-purpose image editing model that delivers high-fidelity and consistent editing across a wide range of scenarios. Built straight from text to image foundations instead of simple add on patches, it shows much stronger native editing power.
Available under Apache 2.0 license, this model runs completely local and delivers major improvements over earlier tools.
GitHub: https://github.com/FireRedTeam/FireRed-Image-Edit
Huggingface: https://huggingface.co/FireRedTeam/FireRed-Image-Edit-1.0
@aipost馃敟A new SOTA image-editing model named FireRed-Image-Edit just got released. Outperforms many top closed source options like Qwen-Image-Edit and Seedream 4.0, on GEdit benchmarks. It’s a general-purpose image editing model that delivers high-fidelity and consistent editing across a wide range of scenarios. Built straight from text to image foundations instead of simple add on patches, it shows much stronger native editing power. Available under Apache 2.0 license, this model runs completely local and delivers major improvements over earlier tools. GitHub: https://github.com/FireRedTeam/FireRed-Image-Edit Huggingface: https://huggingface.co/FireRedTeam/FireRed-Image-Edit-1.0 @aipost 馃彺0 Commentarii 路0 Distribuiri 路127 Views 路0 previzualizare -
Another insane Seedance 2 example.
Actors will simply license their image moving forward and AI models will do all the actual “acting”.
@aipostAnother insane Seedance 2 example. Actors will simply license their image moving forward and AI models will do all the actual “acting”. @aipost 馃彺0 Commentarii 路0 Distribuiri 路230 Views 路0 previzualizare -
It's happening.
The Motion Picture Association just told ByteDance to "immediately cease" Seedance 2.0, calling it "massive copyright infringement."
But we've seen this movie before.
The MPA said the exact same thing about Sora. Then Disney licensed 200 characters to OpenAI.
Hollywood's playbook: panic → sue → license → profit.
Problem: ByteDance isn't OpenAI. China doesn't take the meeting.
@aipostIt's happening. The Motion Picture Association just told ByteDance to "immediately cease" Seedance 2.0, calling it "massive copyright infringement." But we've seen this movie before. The MPA said the exact same thing about Sora. Then Disney licensed 200 characters to OpenAI. Hollywood's playbook: panic → sue → license → profit. Problem: ByteDance isn't OpenAI. China doesn't take the meeting. @aipost 馃彺0 Commentarii 路0 Distribuiri 路339 Views 路0 previzualizare
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