Creator Trinity S³AI - AGI game @t27_lang Play, direct, earn: the core is a game, and the board is public

Thailand, Koh Phangan
Joined April 2019
27 lessons, one working widget each: what an #FPGA is, how numbers become bits, your own t27 spec, how #t27c compiles it, and how it becomes a bitstream on a real board. Then a lab of 3 on our own research. t27.ai/#/course
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Dmitrii Vasilev retweeted
What if you could learn FPGA design and AI hardware by actually running the code? Found t27, a learning platform built around its own programming language for hardware and numerical computing. You can explore interactive courses covering FPGA programming, AI number formats, digital logic, UART, SPI, AXI buses, clock-domain crossings and neural networks. The interesting part is that lessons connect concepts to executable specifications, compiler output, tests and Verilog generation. There is also a course exploring ternary computing, where values can use three states instead of the usual binary 0 and 1.
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Graph neural networks, gently The 2021 Distill introduction to #GNN s, rebuilt five years later on a graph you can watch move — our own agent fleet — with a playground that trains a real graph neural network in your browser, no libraries, in seconds. #WASM
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#DOOM on #AX7203 #WASM #FPGA Want to speed things up? Bring in your agent, and we’ll get it done together. github.com/Trinity-S-AI-DNA/…
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Today, on my birthday, I’m releasing an open-source tutorial on creating programs for #FPGA and #ASIC. Every course is 27 short lessons in the browser, each with a live widget. Pick any three and they are free, with no sign-up and no email; the club opens the rest.
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Two t27 courses of 27 lessons each: FPGA, then AI numbers The t27 course is now two courses of 27 lessons, 9 modules of 3 lessons each (recordings for lessons 13 to 21 are pending t27#7400): From zero to a chip, on programming an FPGA, and AI numbers… t27.ai/blog/two-courses-twen…
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An eye on the board: a camera found the wrong board, and a t27 spec put the right one on the network A USB camera now watches our FPGA bench. Its first frame read "ALINX" off a board our notes had called a QMTech Wukong for months: the same chip in a… t27.ai/blog/an-eye-on-the-bo…
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Buses and peripherals with t27, in 27 lessons Course 7 of the catalog: UART frame by frame, SPI mode by mode, the APB handshake, the five AXI4 channels, memory maps, the packet bridge, Ethernet frames and RGMII timing, and the bench IO discipline --… t27.ai/blog/buses-and-periph…
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BYPASS or a broken shift: two bits of the JTAG IR capture decide Our JTAG decoder called every even data word BYPASS, whatever had happened on the wire. The standard already gave a way to tell: on Capture-IR every compliant chip loads 01 into the two… t27.ai/blog/bypass-or-a-brok…
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Actors beat the loop on recovery, not everywhere: seven measured changes to the Queen runtime On one seeded input the Queen's actor runtime cuts the worst recovery from 1181 s to 27 s and finishes 18.7% more reviews under overload, but it does not win… t27.ai/blog/actors-beat-the-…
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Deploy your own agents within the #T27OS ecosystem in "GODMODE"—an autonomous, proactive orchestration mode. Coming soon. It will function similarly on FPGAs, utilizing our own "actors" (modeled after the BEAM actor model), and will include a dedicated toolset for FPGA engineers
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Dmitrii Vasilev retweeted
Analog Chip design beginner training in Portugal with open source EDA tools in November. inl.eventkey.pt/geral/inseri…
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Neural networks in t27: 27 lessons, and a widget in each one that runs a specs/ml spec Course 10 opens the parts the project's agents think with: ReLU, GELU and softmax, embeddings and dropout, pooling and batch norm, MSE, cross-entropy and Huber, SGD,… t27.ai/blog/neural-networks-…
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