DeepSeek’s founder Liang Wenfeng just poured $3 billion of his own cash into his company’s first-ever funding round. Tencent added $1.4 billion. CATL, $700 million. None of them gets a single vote. The only investor with governance rights put in $145 million: China’s National AI Industry Investment Fund.
The round values DeepSeek at up to $59 billion, achieved with zero prior outside capital and under US chip export restrictions. The entity steering the ship spent 50x less than the founder and holds 100% of the votes.
In today’s indie hacker news:
- DeepSeek’s $7.4B round where only the state votes
- Google buys into A24 for DeepMind filmmaking tools after Sora dies
- A 0.2B image model that beats one 54x its size, now in the browser
- EU mandates AI watermarks by August, costs $50 to strip them
- Chevron wires a $7B gas plant straight into Microsoft’s data center
TOP STORIES
THE $3 BILLION PASSENGER SEAT
DeepSeek raises $7.4B at up to $60B valuation
The story: DeepSeek closed its first external funding round on June 16 after three years bootstrapped by Liang’s hedge fund High-Flyer Capital. Commercial investors face a five-year lock-up with zero governance rights. Alibaba and ByteDance both declined.
The details:
- The Big Fund (China’s state-backed semiconductor vehicle) invested $145M for sole voting rights. Tencent put in nearly ten times more but gets zero governance power
- Liang vetted every backer to block foreign capital and asked investors not to poach employees
- V3 trained for $6M. V4 shipped in April with 1.6T parameters. The war chest signals infrastructure buildout, not training costs Why builders care: Liang told investors open-weight releases will continue. R1, V3, and V4 are all open. But if Beijing directs priorities through its sole voting stake, there’s no commercial investor check. If you depend on DeepSeek, keep a fallback across Llama, Mistral, and Qwen.
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SORA DIED, GOOGLE MOVED IN
Google invests $75M in A24 for DeepMind filmmaking tools
The story: Google took its first-ever equity stake in a film studio, putting $75M into A24 for a multi-year DeepMind research partnership. DeepMind researchers will embed with A24 directors to build AI filmmaking tools, starting with AI-generated storyboards. Non-exclusive on both sides. Google gets no access to A24’s film library.
The details:
- Disney’s $1B OpenAI partnership collapsed when Sora hit $15M/day in compute costs against $2.1M in total lifetime revenue. Sora’s app died in April, API sunsets September
- Veo 3.1 pricing sits at $0.05/second, undercutting Kling ($0.07/s). Google is now the cost leader in AI video APIs
- Demis Hassabis said the tools “won’t look anything like the prompted generation type of AI”. A24 Labs runs the operational side
Why builders care: Google is buying A24’s creative credibility to position Veo as the professional-grade standard. The “tools that preserve creative control” framing is the validated strategy for selling AI to creative pros post-SAG-AFTRA. No public launch announced. This is R&D, not a platform.
54x SMALLER AND IT STILL WON
Moebius: a 0.2B inpainting model that matches 10B performance
The story: HUST Vision Lab and VIVO AI Lab published Moebius, a 0.22B-parameter image inpainting model that beats FLUX.1-Fill-Dev (11.9B) across six benchmarks while running 15.5x faster. Simon Willison ported the whole thing to run client-side in a browser via ONNX Runtime Web on WebGPU.
The details:
- Inference: 0.52 seconds per image on a single L40S GPU vs 8.05 seconds for FLUX. Portraits score 47% better by FID
- Willison used Claude Opus to convert PyTorch to ONNX, push to Hugging Face, and build the browser UI without writing code
- Open weights on GitHub (224 stars). License conflict: Apache 2.0 on GitHub, CC BY-NC-SA 4.0 on arxiv. Verify before commercial use
Why builders care: Client-side inpainting at $0 marginal cost per edit. No API calls, no GPU server, no privacy concerns. At 0.22B it fits on smartphones, and fine-tuning for niches runs on a single RTX 3090.
WATERMARK IT, THEN STRIP IT FOR $50
EU AI Act watermarking rules take effect August 2
The story: Article 50 enters enforcement August 2, but it’s not the blanket “all AI text must be watermarked” that r/LocalLLaMA fears. Four separate obligations: chatbots must disclose they’re AI, providers must machine-mark outputs “as far as technically feasible,” deepfake deployers must label content, and deployers publishing AI text on matters of public interest must disclose it.
The details:
- Only 38% of studied AI systems carry any machine-readable marking today. Researchers stripped LLM text watermarks for under $50
- Open-source models (Llama, Mistral, DeepSeek) are NOT exempt. The deployer carries full compliance responsibility
- Fines: 15 million euros or 3% of worldwide annual turnover. Pre-existing systems get a grace period until December 2
Why builders care: If you call GPT/Claude/Gemini via API, the provider handles machine-readable marking. Build on open-source models and you handle everything. Internal tools likely fall outside the public-interest rule, but chatbot disclosure applies to everyone.
OIL MEETS INFERENCE
Chevron signs 20-year power deal with Microsoft for a 2.67 GW data center
The story: Chevron committed $7 billion to build a gas plant wired directly to Microsoft’s data center in Pecos, West Texas, bypassing the ERCOT grid. Permian Basin gas trades at negative $9/MCF because it can’t pipeline out. Microsoft can’t get grid interconnect fast enough. The deal solves both problems.
The details:
- Co-developer is Engine No. 1, the activist fund that forced ESG changes on ExxonMobil’s board in 2021. Now building a gas plant
- US data center demand: 76 GW in 2026, 134 GW by 2030. This single facility covers 3.5% of 2026 demand
Why builders care: Azure inference pricing depends on whether plants like this get built. Stranded Permian gas could make Azure compute structurally cheaper than competitors on spot electricity.
TRENDING TODAY
🤖 Sakana AI launches Fugu Ultra - Tokyo-based Sakana shipped a model that orchestrates multiple frontier models through one API. Fugu Ultra benchmarks alongside Fable 5 and Mythos Preview, the Anthropic models killed by export controls on June 12. Pricing from $5/M input tokens. First serious alternative for builders who lost access to Claude’s top tier.
📉 SpaceX stock crashes 23% in three days - Fell to $154.60 on Monday, erasing $600B+ in market value. The trigger: a $20B bond sale to fund AI ambitions. Retail investors who bought after the June 12 IPO saw nearly all gains vanish.
🧠 GLM-5.2 runs on consumer hardware via Unsloth - Z.ai’s 744B-parameter open model (40B active via MoE) performs on par with Opus 4.8 and GPT-5.5. Unsloth compressed it to 241 GB. Fits a 256GB Mac Studio at 3-9 tokens/sec.
DRAMA
BADGE AND GUN, THEN STALK
Police chiefs used Flock surveillance tech to track women
IPVM reported that multiple police chiefs with access to Flock Safety’s license plate reader network used it to stalk women, including romantic partners and complaint filers. EFF says the cases prove warrants should be mandatory for surveillance tech. 428 points on HN, debate split between vendor-side access controls and legal requirements.
Why builders care: If you build tools with location or tracking data, Flock is the case study in what happens when admin access has no audit trail and no judicial check. Design for subpoena resistance, not trust.
FIRST DOLLAR
THE STRANGER WHO PAID
First paid subscriber from outside their network for ReachFlowState
A builder on r/SaaS got their first paid subscriber from a stranger. The product is ReachFlowState, an AI-powered training calendar for endurance athletes. The milestone that matters isn’t the dollar amount. It’s proof that someone found the product, understood it, and paid without a warm intro.
STACK OF THE DAY
🌳 Oak - A Git alternative designed for AI agents. Content-addressed version control that branches per task and snapshots up to 95% faster than git. Agents checkpoint without needing commit messages. Branch descriptions become squash commits at merge. 161 points and 154 comments on Hacker News’s Show HN. Free and open source.
Not sponsored. We just feature tools builders would actually use.
BOOKMARKED TODAY
🔐 Prompt Injection as Role Confusion - Reframes prompt injection as the model confusing which role issued an instruction. 164 points on HN. Essential reading if you chain user input into LLM calls.
🗃️ In praise of memcached - A love letter to the 21-year-old caching layer that still powers half the internet. The case: boring simplicity is the point, not the limitation. 70 points on HN.
🔍 Who’s in the weights? - Search a name and see which of 13 language models recognize it and how accurately. Fun to play with, sobering if you think about training data.
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