Fireworks AI

Headlines · 3

1. 1d
   Private Tech Investor Enthusiasm Persists as Public AI Debt Worries Grow

   At Morgan Stanley’s annual private tech companies conference in Dana Point, Calif., this week, investors remained enthusiastic about startups—especially in the defense and inference sectors—and were impressed by the growth of companies like Fireworks AI, The Information reported. Meanwhile, public-market investors are increasingly worried about overborrowing by AI-related companies, as seen in skyrocketing yields on CoreWeave bonds, a selloff in semiconductor stocks and the yanking of Australian data center operator Firmus’s IPO. Diana Doyle, Morgan Stanley’s head of technology equity and equity-linked capital markets, described a “stark disconnect between the public markets and the private markets.”

   The Information · 🔥 4
2. 4d
   Rumor roundup: Google, OpenAI, Anthropic and xAI said to be racing toward RSI

   A Chinese-language article from 新智元, republished by 36Kr and Cyzone, argues that Google, OpenAI, Anthropic and xAI are all racing toward recursive self-improvement (RSI), but attributes most specifics to unnamed people and rumor. It cites Anthropic's "When AI builds itself" account that Claude authored over 80% of its merged internal code as of May and that AI-led development work rose to roughly 26% by August, and says Anthropic is training a next-generation model it calls Fable 6. It repeats unverified claims of a Google launch cadence cut from 125 days to 44 days, an unreleased OpenAI model called Bel, RSI-Exam scores of 0.384 for Grok 4.7 versus 0.53 for Opus 5.5, and the withdrawal of a planned GPT-6.1 Astra release.

   36氪 人工智能 · 🔥 0
3. 5d
   Infinigence AI raises 2.3B yuan Series C, total funding reaches 4.3B yuan

   Chinese AI infrastructure company Infinigence AI has closed a 2.3 billion yuan Series C round, bringing its cumulative funding to 4.3 billion yuan — a record for both a single round and total funding in China's AI infrastructure sector, according to multiple outlets. Founded in 2023 and incubated by the Tsinghua University electronics department's NICS-EFC lab, the company avoids building chips or training foundation models, instead working on heterogeneous compute scheduling and hardware-software co-optimization, and says its platform reaches 37,000P of compute across 16 mainstream chip types. It says daily token calls on its Agentic MaaS platform grew 40-fold from December, and that its cross-cluster heterogeneous PDD architecture cut first-token latency by 51.5% while reducing per-token cost by 37.5%; Bloomberg, citing people familiar with the matter, reported the company filed confidentially for a Hong Kong IPO.

   智东西 · 🔥 0

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