SurviAGI

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做 AI 的人和公司,最近在说什么。

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  • Satya Nadella高管 · @satyanadellaMicrosoft

    Today marks a new chapter for Windows, as we bring unmetered intelligence to every desk and every home, and make every PC a place where agents can work securely on your behalf. Some highlights of what we announced: • MAI-Code-1.1 Flash: 137B parameter coding model w/ 256K conte

    937.2万 关注者 · 2026-10-07查看原帖 ↗
  • Sam Altman高管 · @samaOpenAI

    Dots are here! A new way to use AI that works 24/7 for you; get more of your time and attention back to work at a higher level. https://t.co/Kp4fPSGUTT

    627.2万 关注者 · 2026-09-29查看原帖 ↗
  • Andy Jassy采用方 · @ajassyAmazon

    A painful part of working with your data has always been that your live data and historical data are stuck in separate systems: the order a customer just placed lives in your database, while their last five years of orders sit in a data lake in S3. And answering a real question

    573.3万 关注者 · 2026-10-01查看原帖 ↗
  • Aravind Srinivas高管 · @AravSrinivasPerplexity

    Perplexity Decider ranks first on DecisionBench (and lowest cost too)

    113.6万 关注者 · 2026-10-08查看原帖 ↗
  • Pieter Levels实测者 · @levelsiounknown (indie maker)

    Today I tried to port DOOM to WASM with multiplayer too Actually it's Odamex, an open source Doom engine for Mac, Windows and Linux, specifically great at Doom multiplayer, because the original Doom had very laggy netcode But nobody ever ported Odamex to web yet, so I tried tod

    96.1万 关注者 · 2026-10-08查看原帖 ↗
  • Ryan Petersen采用方 · @typesfastFlexport

    We've added air freight, rail freight, and barge freight to Flexport Atlas. Try the upgrades yourself at https://t.co/KpLI3QQnEZ https://t.co/z1a6r1u0UP

    73.5万 关注者 · 2026-10-05查看原帖 ↗
  • Andrew Mayne实测者 · @andrewmayne

    You can 2x the throughput on certain tasks with OpenAI's Decision API when you can stack them. One of the benefits of a model like GPT-6 Luna powering the Decisions API is that it can handle multiple decisions at once. Instead of classifying these books one at a time we can sen

    67.8万 关注者 · 2026-10-08查看原帖 ↗
  • Boris Cherny实验室内部人 · @bchernyAnthropic

    Haiku 5.5 is a good Haiku. With 100k token context, it's also 10x cheaper than Haiku 4.5

    57.8万 关注者 · 2026-10-07查看原帖 ↗
  • Mike Krieger实验室内部人 · @mikeykAnthropic

    Another model joins the 5.5 family with the small but mighty Haiku 5.5! It’s built for speed and efficiency, and costs 75% less than Haiku 4.5. Opus does the heavy thinking, Haiku does the high-volume work, and together you get more done for less. Happy shipping!

    46.8万 关注者 · 2026-10-07查看原帖 ↗
  • Santiago Valdarrama实测者 · @svpinounknown

    Nace AI just released Drex 1.5 — the first (and so far the only) decision model with a 128k context window. 128k is really good! You can send an entire contract or a video transcript and get a scored decision over the whole thing. You don't need to mess with chunking or stitchin

    45.6万 关注者 · 2026-10-01查看原帖 ↗
  • Theo Browne实测者 · @theoPing.gg / T3 Chat

    I actually really like this. Charging 1/5th the price for requests under 100k tokens. Makes it really clear what the model is for (and also insanely cheap)

    39.1万 关注者 · 2026-10-07查看原帖 ↗
  • ThePrimeagen实测者 · @ThePrimeagenMicrosoft

    tested out Haiku vs Luna reasoning none for some automation Haiku, literal drop in replacement (it was a one line change of changing a string in a config file), performed significantly worse Still have to understand why It was also significantly slower (both in pass and fail)

    38.2万 关注者 · 2026-10-08查看原帖 ↗

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