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<text x="600" y="470" text-anchor="middle" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="21" fill="#85827a">2-bit, 8-29MB, runs locally, up to 4k tokens/sec decode speed</text>
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<text x="80" y="172" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="13" letter-spacing="1.5" fill="#e8593d">THESIS</text>
<text x="80" y="216" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="23" fill="#e8e6df">On-device AI today is built for computers and humanoids.</text>
<text x="80" y="252" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="23" fill="#e8e6df">Most edge devices are tiny: phones, wearables, smart home</text>
<text x="80" y="288" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="23" fill="#e8e6df">and small robots, and we are racing to own that market.</text>
<text x="80" y="372" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="17" fill="#85827a">Needle is the foundation model for that hardware: no GPU, no NPU,</text>
<text x="80" y="398" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="17" fill="#85827a">a few dozen MB of RAM, and no network in the loop.</text>
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<text x="728" y="178" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="12" letter-spacing="1.5" fill="#85827a">AI-NATIVE DEVICES BY 2030</text>
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<text x="728" y="300" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="15" fill="#e8e6df">Computers</text>
<text x="1116" y="300" text-anchor="end" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="13" fill="#85827a">2B</text>
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<text x="728" y="356" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="15" fill="#e8e6df">Tiny devices</text>
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<text x="728" y="404" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="13" fill="#85827a">phones, wearables, smart home devices and micro-IoT</text>
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<text x="80" y="218" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="17" fill="#85827a">One set of weights, every depth from 2 to 20 layers a model of its own.</text>
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<text x="102" y="262" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="17" fill="#e8e6df">beats models 10x its size on mobile tool calls</text>
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<text x="102" y="292" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="17" fill="#e8e6df">structured extraction and text embedding, on the device</text>
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<text x="102" y="322" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="17" fill="#e8e6df">2-bit CQ weights, 8-29 MB, a sub-1 MB engine</text>
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<text x="102" y="352" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="17" fill="#e8e6df">up to 4k tokens/s decode on a Raspberry Pi 5</text>
<text x="80" y="418" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="12" letter-spacing="1.5" fill="#85827a">ONE REQUEST, ONE GROUNDED CALL</text>
<text x="80" y="450" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="16" fill="#e8e6df" clip-path="url(#crq)" xml:space="preserve">dim the living room to 30</text>
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<text x="748" y="178" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="12" letter-spacing="1.5" fill="#85827a">INTELLIGENCE LADDER</text>
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<text x="748" y="270" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="11" fill="#4a4844">layer 0</text>
<text x="1132.5" y="270" text-anchor="end" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="11" fill="#4a4844">layer 19</text>
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<text class="s dl1" x="748" y="326" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="40" font-weight="600" fill="#e8e6df" letter-spacing="-1">4 layers <tspan fill="#e8593d">29M</tspan></text>
<text class="s dl2" x="748" y="326" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="40" font-weight="600" fill="#e8e6df" letter-spacing="-1">8 layers <tspan fill="#e8593d">52M</tspan></text>
<text class="s dl3" x="748" y="326" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="40" font-weight="600" fill="#e8e6df" letter-spacing="-1">16 layers <tspan fill="#e8593d">98M</tspan></text>
<text class="s dl4" x="748" y="326" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="40" font-weight="600" fill="#e8e6df" letter-spacing="-1">20 layers <tspan fill="#e8593d">121M</tspan></text>
<text x="748" y="360" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="15" fill="#85827a">blocks 0 and 19 always kept, the rest added by bisection;</text>
<text x="748" y="384" font-family="Inter, -apple-system, 'Segoe UI', Helvetica, Arial, sans-serif" font-size="15" fill="#85827a">fine-tuned, 4 layers already pass DeepSeek V4 Flash on DroidCall</text>
<text x="748" y="440" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="13" fill="#e8e6df">needle build --layers 8 --platform linux-arm64</text>
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<text x="56" y="574" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="13" fill="#85827a">cactuscompute.com/needle   ·   huggingface.co/Cactus-Compute   ·   github.com/cactus-compute   ·   pip install cactus-needle</text>
<text x="1144" y="574" text-anchor="end" font-family="ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" font-size="13" fill="#4a4844">Cactus Compute, Inc.</text>
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