Cancelled calude code subscription for April month, just moved this setup – MacBook pro – Gemma 4 No internet, no API costs, no limits
→ View original post on X — @clementdelangue, 2026-04-05 15:35 UTC
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Cancelled calude code subscription for April month, just moved this setup – MacBook pro – Gemma 4 No internet, no API costs, no limits
→ View original post on X — @clementdelangue, 2026-04-05 15:35 UTC

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Its official. 90M tokens later. Qwen 3.6 Plus took all Opus tasks like a king! Since then my Claude usage has been 0. Not a single request! Not a single chat message. The best of it all, Qwen 3.6 Plus is behaving like SOTA models, with little to no errors on super complex, multi sub agents, multi-tasks, long-running tasks, you name it. You know what, I feel a little bad for Anthropic, it did help me build great tools such as truelens.tech that is changing the construction market in UK. If they did not do this super wrong move, I would still be there, so thank you @AnthropicAI I know there are 1000's of other amazing builders doing the exact same as we speak, but with other models. The point is that Anthropic jus did what it was not supposed to do, pushing those builders away, and once they run their own local models, those companies wont see a single cent anymore.
→ View original post on X — @clementdelangue, 2026-04-05 15:25 UTC
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Anthropic now blocks first-party harness use too 👀 claude -p –append-system-prompt 'A personal assistant running inside OpenClaw.' 'is clawd here?' → 400 Third-party apps now draw from your extra usage, not your plan limits. So yeah: bring your own coin 🪙🦞
→ View original post on X — @ceobillionaire, 2026-04-05 15:19 UTC
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I should charge $99 for each of these.
But every single guide on this page is free. → Gemini Mastery Guide
→ Prompt Engineering Guide
→ Claude Mastery Guide
→ OpenAI Mastery Guide
→ + more dropping & updating regularly Zero cost. Zero catch. Just open and learn

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BREAKING: Duke researchers just proved that coding agents are better at processing long documents than models with million-token context windows. > Not because of longer context. Because grep and sed are better retrieval tools than attention. > +17.3% average improvement
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Yeah I do worry about that, especially given how key to my workflow uvx has become I'm not sure telling people to "pip install" or "uv tool install scan-for-secrets" and then "scan-for-secrets –help" is materially different though
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Yup – If you want your agent to feel human and to get a lot done it has a steep true price right now As people get better at setting up agents providers will throttle usage and dial in their pricing so they don’t lose money Running local models will be key to AI autonomy Ryan Carson (@ryancarson) The cost to run a truly useful Chief of Staff @openclaw on Opus 4.6 is $100-200 per day on the API. — https://nitter.net/ryancarson/status/2040730811805118633#m
→ View original post on X — @clementdelangue, 2026-04-05 14:52 UTC
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Terminal features have become a standard feature

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If you found it useful, reshare it with your network Follow me → @Sumanth_077 for more insights and tutorials on AI Engineering! nitter.net/Sumanth_077/status/204… Sumanth (@Sumanth_077) Massive breakthrough in voice deepfake detection! @modulate_ai just released a deepfake detection API that topped @huggingface's leaderboard at 98.9% accuracy. Here's the problem with how most companies handle deepfake detection. They check the first 10 seconds of a call. If it passes, they assume the whole call is clean. Gate check. One scan. Done. Fraudsters know this. So they open the call with a real voice. Their own voice, a colleague, a quick recording. Pass the check. Then switch to the AI-generated clone mid-call. The system already gave them the green light. They're through. The fix is obvious. Monitor the entire call. Not just the opening. Not random spot checks. Every segment, continuously, in real-time. But that was too expensive. Until now. Velma is Modulate's real-time and batch deepfake detection API. Here's what changed. • Real-time streaming detection. Analyzes audio every 2 seconds during live calls. Catches mid-call voice switches instantly. • 120x cheaper than competitors. $0.25 per hour instead of $30-150. Now you can actually afford to monitor full conversations instead of spot-checking. • Only needs 2.5 seconds of audio. Faster detection, works with short segments. • 98.9% accuracy, ranked first on HuggingFace. Lower error rate than models 10x larger. First 1000 API credits are free. I've shared the link in the replies! — https://nitter.net/Sumanth_077/status/2040793953927311527#m
→ View original post on X — @sumanth_077, 2026-04-05 14:12 UTC

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Checkout Modulate: modulate.ai/api/deepfake-det…
→ View original post on X — @sumanth_077, 2026-04-05 14:09 UTC