Theresa Loconsolo
27 posts
How Apple’s big lawsuit could disrupt OpenAI’s IPO plans
Apple filed a trade secrets lawsuit against OpenAI last Friday, and it’s not messing around. The complaint alleges a pattern of misconduct reaching…
Inside Ode with Anthropic, the startup betting AI services are the future of enterprise
Can a handful of engineers really do the work of an army of consultants? That’s the bet behind Ode with…
Hugging Face’s CEO on why companies are done renting their AI
Open source AI is booming, according to Hugging Face CEO Clem Delangue. The company has grown into something like a GitHub…
Monorepo vs polyrepo
How you split your code into repositories seems like a plumbing decision, but it quietly shapes how your…
Why this CEO thinks video games make better training data than the internet
When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like…
網紅程式設計師回應炒股一年虧130萬:當流量主體走進散戶敘事,虧損也成了內容
一位擁有技術背景的網紅程式設計師公開承認一年在股市虧損約130萬人民幣並回應爭議。本文拆解事件經過、散戶在高波動市場的結構性劣勢,以及科技自媒體與投資敘事的邊界。 Techroomage 編輯部 · 2026年7月1日 · 閱讀約 8 分鐘 一年虧掉130萬。當這個數字出現在一個以理性、技術背景為人設的網紅程式設計師身上,它不再是單純的帳面損失,而變成了一則被演算法與留言區共同咀嚼的內容事件。微博熱搜「網紅程式設計師回應炒股1年虧130萬」之所以快速發酵,在於它踩中了一個尷尬的對比:一個理論上最懂數據、最擅長建立模型的羣體,在公開市場裡依然難以免疫散戶的宿命。 TL;DR 一位在微博具有相當關注度的網紅程式設計師公開回應「炒股一年虧損約130萬人民幣」的傳聞,承認虧損屬實並對外說明。事件折射出科技自媒體人物把個人投資經歷內容化的新趨勢,也再次暴露散戶在高波動市場中的資訊劣勢與情緒管理難題。 事件經過 熱搜話題源於這位程式設計師在社羣平臺上揭露自己過去一年累計虧損約130萬人民幣的紀錄,隨後引發大量轉發與討論。當事人隨後親自下場回應,針對外界質疑做出說明。 需要強調的是,130萬這個數字來自當事人自述與微博話題傳播,並未經第三方財報或券商資料獨立核實;其部位結構(個股、ETF、是否含融資槓桿)也未有完整公開。引用時應保留這層不確定性,避免把自述數字當成可查證的財務事實。 關鍵事實(條列) 事件主角:一位在中國社羣平臺具有技術人設、被網友稱為「網紅程式設計師」的內容創作者 關鍵數字:自述一年累計虧損約130萬人民幣(來源為當事人公開發言,未經獨立核實)…
Why everyone from OpenAI to SpaceX is building their own chips (and turning up the heat on Nvidia)
Nvidia has dominated the AI chip market for years, but the era of total dependence might be ending. …
Is the US government’s Anthropic ban accidentally helping the brand?
Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos…
An Engineer’s Guide to DuckDB and Modern OLAP Databases
TL;DR Cloud warehouses are built for petabyte-scale enterprise needs, and for teams working with a few terabytes, they…
NEA’s Tiffany Luck says enterprises are still figuring out their AI ROI
Tokenmaxxing was the hottest trend in Silicon Valley earlier this year, with CEOs encouraging employees to push AI usage as…