GitHub wasn’t built for hardware.
So we built Circuit World.
An AI-native EDA + MCAD platform for designing, iterating, collaborating, versioning, and manufacturing hardware in one browser.
You don’t have to start every design from scratch.
Start with one of 8,800+ existing boards, build on it, and iterate with AI from PCB to mechanical assembly. Then send it straight to manufacturing.
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ZEDEDA + Ambarella are pushing AI deeper into the physical edge: on-site video intelligence, centralized fleet management and less raw footage leaving the site. #EdgeAI#PhysicalAI#SovereignAI
@MistralAI + @mozilla are bringing open, private, multilingual AI into Firefox Smart Window. The browser is becoming another battleground for local control and model choice. #SovereignAI#OpenModels
@cohere + Aleph Alpha are building a transatlantic sovereign AI offering rooted in Canada and Germany. Sovereignty is moving from policy language into real infrastructure. #SovereignAI#PrivateAI
Advantech is expanding WEDA across @Intel, @Qualcomm and @AMD hardware to simplify cross-platform Edge AI deployment. Heterogeneous compute is becoming the norm. #EdgeAI#SovereignAI
@AMD says agentic AI is changing infrastructure planning: retrieval, tool calls and code execution shift compute needs on every run. Fixed stacks age fast. #SovereignAI#AgenticAI
Privacy is moving into the inference layer. @cohere’s Model Vault now adds confidential computing with hardware-encrypted memory and attestation. Sovereign AI isn’t only where the model runs—it’s who can see the workload. #SovereignAI#PrivateAI#ConfidentialComputing
@apertusllm 1.5 is now broadly deployable: 8B + 70B open models, on-prem options, APIs and @huggingface access. That’s what sovereign AI needs—real deployment choice, not just another hosted endpoint. #SovereignAI#OpenModels#LocalAI
AI sovereignty is getting practical. @AMD + F-Secure are testing adaptive routing across local, private and cloud infrastructure—keeping sensitive work close while using cloud when it makes sense. Control the routing, not just the model. #SovereignAI#EdgeAI
@AMD is pushing the AI stack from cloud-only toward local + private + distributed
AMD’s latest #AI infrastructure #work is moving in a direction that matters for sovereign AI.
PCB: 135 parts, 514 pads, 4 layers. I designed almost none of it.
An AI harness in VS Code calculated every part, read every datasheet, drew the schematic, checked its own work.
What would you build if the next board cost an afternoon?
This is the real reasons Dario Amodei and OpenAI want tighter AI regulation because open models are rapidly taking over the market beneath them.
Vercel’s AI Gateway data shows that open weight models now account for 78.4% of token volume, compared with only 21.6% for closed models while Open models represented roughly 40% of token volume in June, meaning their share has nearly doubled in only three months.
DeepSeek V4.1 Flash alone generates 59.3% of the tokens moving through the gateway and by comparison, Claude Opus 4.8 and Claude Sonnet 5 each account for only 1.7% of token volume.
However, the spending data tells a very different story.
Closed models still capture a disproportionate amount of money because they charge much more per token.
Claude Opus 4.8 accounts for 13.7% of spending despite representing only 1.7% of token volume while Anthropic’s five listed Claude models collectively capture 36.9% of total spending.
DeepSeek V4.1 Flash has the opposite profile because it processes most of the tokens on the gateway but accounts for only 5.1% of spending, which shows how aggressively open models are competing on price.
This is the threat facing closed model companies.
Developers may still use expensive proprietary models for their hardest tasks but they are increasingly sending high volume workloads to cheaper open alternatives and as open models improve, developers could begin routing more premium workloads toward them as well.
Open weights also give companies more control over their infrastructure.
Developers can download these models, run them on different cloud providers, fine tune them for specific applications, and avoid depending entirely on one company’s API and this reduces the pricing power and customer lock in enjoyed by OpenAI and Anthropic.
If open models keep closing the performance gap, OpenAI and Anthropic could lose the one thing that matters most, pricing power.
If you enjoyed reading this, make sure to follow @MelvinInvests for more.
@MistralAI secured €3 billion in a Samsung-led Series D funding round, pushing its valuation past €21 billion to scale its open-weight ecosystem, expand infrastructure, and advance sovereign AI capabilities.
Read: https://t.co/hfRmr6MBX2
#Mistral#SeriesD#SovereignAI