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Vibe Coding2026-09-19 · source-backed
Liam Powell's September 18 post argues Bend was built around formal verification without its author apparently knowing the field exists, with a side-by-side: Bend needs 58 lines to specify simple game laws plus a 442-line AI-generated proof, while the equivalent SPARK program is far shorter and discharges automatically with GNATprove reporting all 12 checks proved. blog.liampwll.com His general claim is the useful one: LLMs compress implementation time enough to let you finish a substantial system before the research that would have told you not to build it. The counter is that SPARK's automation only covers the proof obligations it can discharge, so the example favors SPARK.
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Victor Taelin's Bend 2 went public on September 17 and took 502 points on Hacker News. The repo is at 21,032 stars. The mechanism: you write theorem statements in a LAWS.bend file, for example law add_zero: for x: Nat {Nat.add(x, 0n) == x : Nat}. The AI writes the discharging...
Announced September 16, the AI Energy Management Alliance targets data centers that dynamically manage electricity by shifting workloads, discharging storage, using paired generation and responding to system contingencies, committing to technology-neutral performance-based sta...
For about a year, "run your agent locally" meant accepting a model that couldn't reliably call a tool twice in a row. That excuse is gone. Meta Superintelligence Labs published Muse Glimmer today: a 29.6B dense causal transformer, 52 layers, 6,656 hidden dim, with a ~1.8B ViT-...
Baseten's Series F closed June 22 led by Altimeter, Conviction, and Spark, with revenue up ~20x YoY and more than 1 billion inference calls a day across 87 clusters and 18 clouds. The model layer gets the headlines, but inference at the app layer is where this round says the m...
The September 15 feature catalogs GPUs idling 50-80% of the time waiting on memory, then maps the contenders: Nvidia's $20B Groq acquisition producing an LPU with 500MB on-chip SRAM and 7x GPU memory bandwidth, a Cerebras WSE-3 deployment pushing GPT-5.3-Codex-Spark past 1,000...
$0 revenue. 11 authentic visitors. Zero paying customers. $2,833.35 of inference burned protecting $2,100 of capital. Bottleneck Labs gave seven frontier models (Qwen 3.8, Grok 4.5, GPT-5.6 Sol, Muse 1.2 Spark, Kimi K3, Fable, Gemini) $300 each in a real Meow.com checking acco...
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