Jamie @GhostInTerminal

Privacy, Automation 🌍 Joined March 2010

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Nate @natebjones

a week ago

Me with 25 agents asking for approval

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Jamie @GhostInTerminal

2 weeks ago

@sevdeawesome Catchy. Cute

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Severin Field 🦅 @sevdeawesome

2 weeks ago

Claude 5.5 Opus responding to “AI is a normal technology” is still the best AI-created video I have ever seen

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GPT-6 Astra is now the best-performing frontier model for antibody developability prediction in our benchmark. 🧬 Finding an antibody that binds is only the beginning. Will it aggregate? Will it stay stable? Can it actually behave like a drug? GPT-6 Astra predicts these developability properties better than the other frontier models we tested. 🤯 And yes, the interactive visualization showing how an antibody actually works was also built with Astra in about 1 hour. This model looks seriously powerful. Congrats @gbt @sama #insilicoSOTAFM

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OpenAI @OpenAI

a month ago

This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.

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Palantir @PalantirTech

2 months ago

Palantir CEO Alex Karp predicts the future business landscape will be defined by companies that got sovereignty right competing against the frontier labs: “I am quite certain that the companies that get this right will just be the dominant companies, because de facto, it'll be you competing against a frontier lab.” “And you can win because you have access to things that are outside the spectrum, that are outside the model, that are proprietary, that only you understand.” “Or you can selectively use their models, but make sure that alpha is not being migrated out by using an application layer or what is commonly now called an ontology.”

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Jamie @GhostInTerminal

2 months ago

@Xiaomi Sell on air-conditioned camping and these will fly off the shelves. The UK needs these :)

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Jamie @GhostInTerminal

3 months ago

@sama @TheAhmadOsman Tried it yesterday to evaluate my project. It gave rich criticism but when I shared my logic it totally flipped its responses. I've seen it sound really compelling only to completely contradict itself straight after. Fable on the other hand stands it ground with sound logic

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Eliana @eliana_jordan

3 months ago

they don’t know fable 5 is back

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Jamie @GhostInTerminal

3 months ago

Nice to see this: Gemma 4 on Cerebras The Fastest Inference is Now Multimodal @cerebras cerebras.ai/blog/gemma-4-o…

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Jamie @GhostInTerminal

4 months ago

@cerebras How do we get access to this?

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Jamie @GhostInTerminal

5 months ago

@cerebras @ArtificialAnlys @Kimi_Moonshot Sign me up ! :)

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merve @mervenoyann

5 months ago

Gemma 4 just got a massive speed-up with MTP drafters ⚡️ > speculative decoding (up to 3x tokens/sec improvement compared to normal Gemma-4 🔥) > identical reasoning, just faster > day-0 support in transformers, MLX, vLLM > A2.0 licensed 🤗

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Jamie @GhostInTerminal

6 months ago

Interesting.

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Hugging Models @HuggingModels

9 months ago

You can now clone voices that sound actually real. Non robotic, full human. 1.7B parameters of clean, natural speech. huggingface.co/Qwen/Qwen3-TTS…

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Z.ai @Zai_org

9 months ago

Introducing GLM-4.7-Flash: Your local coding and agentic assistant. Setting a new standard for the 30B class, GLM-4.7-Flash balances high performance with efficiency, making it the perfect lightweight deployment option. Beyond coding, it is also recommended for creative writing, translation, long-context tasks, and roleplay. Weights: huggingface.co/zai-org/GLM-4.… API: docs.z.ai/guides/overvie… - GLM-4.7-Flash: Free (1 concurrency) - GLM-4.7-FlashX: High-Speed and Affordable

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Jamie @GhostInTerminal

9 months ago

Coinbase just pulled support for the Senate market-structure bill: "no bill is better than a bad bill." coindesk.com/policy/2026/01…

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Jamie @GhostInTerminal

9 months ago

@cerebras Totally. The bottleneck isn’t ideas, it’s confidence. We burn ~10× more compute on simulations + regression than on brainstorming

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Cerebras @cerebras

9 months ago

If you think Cerebras is just about speed, you do not understand Cerebras. Just as mass can be converted to energy, speed can be converted to intelligence. It's the natural consequence of test-time compute scaling.