与「Dayone」相关的搜索结果

007: First Light Reviews are up 10 — VGC Said it feels like the Bond game fans have been waiting for years. 10 — Gfinity Praised the story, action, and overall Bond feeling. 10 — The Guardian Loved the style, atmosphere, and writing. 10 — ComicBook Said it really feels like playing through a Bond movie. 9.5 — GamingTrend Praised the missions, gadgets, and replay value. 9 — Metro Liked the adventure feel and classic Bond vibe. 9 — DayOne Praised the stealth and pacing. 9 — Collider Called it one of the best action games this year. 9 — GameSpew Loved the mission variety and spy gameplay. 9 — Shacknews Said the mix of stealth and action works really well. 9 — ScreenRant Praised the soundtrack, visuals, and Bond atmosphere. 9 — PSX Brasil Liked the freedom during missions. 9 — GAMINGbible Called it stylish and fun from start to finish. 9 — DualShockers Praised the story, gadgets, and Bond performance. 8.5 — Checkpoint Gaming Liked the stealth gameplay but wanted more freedom. 8.5 — Press Start Praised the action and graphics but said combat gets repetitive sometimes. 8 — CGMagazine Liked the story and stealth gameplay overall. 8 — TechRadar Gaming Praised how cinematic the game feels. 8 — Eurogamer Loved the atmosphere but wanted deeper stealth systems. 8 — GameReactor Praised the locations and pacing. 8 — IGN France Said it captures the Bond feeling really well. 7 — GamesRadar+ Liked the story and presentation but thought gameplay could be deeper. MC: 88 OC: 90

我用 4 个 Claude SKILL 搭建了一个个人管理系统， 结合了： 项目管理（类似 Asana） 日程管理（类似 Google Calendar） 个人反思与日志（类似 DayOne / Journey） 💠 系统功能 用自然语言创建 ledger（账本） 并设定 目标 所有 SKILL 自动调度，从目标到日程再到反思全自动执行 文件自动生成与更新，无需手动编码或硬性规则 整个流程完全结构化、可追踪 ⚙️ 使用流程 说出一个目标（自然语言输入） 系统自动生成 G 条目（目标） 自动调度生成 S 条目（日程） 完成后系统生成 R 条目（反思） 🌿 个性化 个人偏好（时间节奏、精力状态、工作/生活平衡等）会保存在 profile.json 中， 可随时修改、保存，并在其他 SKILL 包中复用。 🪶 数据主权 所有文件均由系统自动生成，完全可下载， 数据归用户所有，无需依赖外部平台或服务器。 🧭 更大的意义 这是新一代软件工程范式的起点： 语言变成结构，结构变成生命。 系统不再依赖硬编码，而是依靠语言调度与结构演化完成自我运行。

The Day One patch fixed the input time for basic attacks, as well as the timing of blocking and parrying to be more responsive. Also, the chromatic aberration and grain noise effects can now be toggled on/off.😍 #StellarBlade# #PS5# #Dayone#

回顾 2023，我用的最爽的 10 个效率工具 1. 它的 Daily Note 基本取代了我的 GTD 工具； 2. Cron，我的事务都同步上去了，约人约时间取代了 Calendly； 3. Arc，不用说，目前最优雅的浏览器（Sigma.os 也不错）； 4. Raycast，配合各种插件功能，效率飞起； 5. Perplexity，不用多说，日常知识性搜索神器； 6. Journal，日记就用它，让人更有冲动记录，取代了 Dayone； 7. Artifact，新闻软件，推荐很准确，特别是科技行业，可以用播客模式听新闻，也有 AI 提炼； 8. Pitch，自它出了神奇移动功能后，更愿意用它做 PPT 了； 9. Superlist，一直在内测，任务嵌套以及详情页可以当作文档的设计很喜欢； 10. Speak，学习英语的好帮手；

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Nvidia acquires Hugging Face for ~$12.9bn. But who gets the 💰? My usual breakdown below 👇 *Investors are sharing ~$7.3bn of profits on <$400m invested. A cool ~20x blended.* *1) The single biggest winner here? Lux Capital.* 👑 Lux is taking the crown for the most $ returned in this transaction. The two rounds they led (Series A & Series C) generated ~$2.6bn combined. They also participated in the Series B. Congrats to @wolfejosh and team. The $15.0m Series A alone will return ~132.5x the capital invested, or ~$2.0bn. The most lucrative round in absolute $ returned. *2) Backing an exceptional team paid off with a >1,000x return for Betaworks and the angels* 📈 The story few people know: Hugging Face started life as a chatbot for lonely teenagers... You sent it a selfie and a sad emoji, it told you it understood. Quite far from where it landed! That is why backing an exceptional team in @ClementDelangue, @Thom_Wolf and @julien_c is always the right thing to do. It paid over 1,000x for Betaworks, Kevin Durant and Thibaud Elziere. *3) Founders and team are crushing it: not taking too much dilution along the way paid off* 👏 I estimate they will share ~$5bn in proceeds, assuming no secondary was taken along the way. A life changing outcome for them and many employees. Taking a 15% attributed option pool at exit, this would mean ~$2bn for the team and >$3bn to share for the three co-founders. Legendary! *4) Salesforce Ventures is cementing its reputation as one of the very best corporate VCs.* 🥇 Salesforce is adding Hugging Face to its long list of successful exits: Snowflake, Zoom, DocuSign, nCino, Auth0... Very few investors can claim as many successes, let alone corporates. The $235m round they led returned $675m in just three short years. Meanwhile, Salesforce's own stock has been flat for the period. Capital well invested! *5) This is a little bit of a heartbreak: but I wanted to congratulate @joinstationf here:* Hugging Face walked into StationF as a 4-person team on day one, June 2017. Back when it was a chatbot for teenagers. They went through multiple corporate programs (Microsoft, Ubisoft, then Naver). Unfortunately they were not investing or taking equity at the time - but they contributed to making it possible. And so for that: hats off. And of course, congratulations to all others involved: Addition, Sequoia, Coatue and many others. No one will be left out!

Four protocols I track describe themselves as buying back their own token, and the four promises have almost nothing in common. The word does a lot of hiding. A buyback can mean tokens are permanently destroyed, or that they are sitting in a vault someone still holds the keys to, or that a team has decided for now to spend some revenue this way and could decide otherwise next quarter. Those are different claims on future supply, and only one of them is irreversible. hyperliquid:native is the strict version. Protocol fees buy HYPE on the open market and the tokens go to an address with no private key, which makes the destruction provable rather than promised. Validators formalized the mechanism rather than leaving it as a team policy. That is about as binding as this gets. The catch is the buyback is denominated in dollars, so a rising price retires fewer tokens for the same spend. Tokens repurchased fell roughly 61% year over year while the dollars spent fell under 20%. The support mechanically weakens exactly when the price is working, and there is a separate overhang underneath it, with a large tranche of team tokens vested but unclaimed. ethereum:0x1f9840a85d5af5bf1d1762f925bdaddc4201f984 is the conditional version, and it is the newest. Governance had to vote the fee switch on, which it did in late July, and the mechanism itself is code rather than discretion. But the burn rate is a function of trading volume, and a meaningful share of that volume currently runs on a chain where gas is being subsidized. Day one spike burned 106,000 tokens. The 30-day mark lands Saturday, and the number that matters is the lowest sustained rate over the window rather than the average, because the average is still carrying the launch. solana:pumpCmXqMfrsAkQ5r49WcJnRayYRqmXz6ae8H7H9Dfn is the discretionary version. The share of revenue directed to buybacks was cut from most of it to half of it in April. The revenue is real and recovering, but the allocation is a dial the team controls, and it has already been turned once. A policy that has been changed is a policy that can be changed. Same dollar-denominated arithmetic applies here too. $LINK is the one most people misread. Chainlink converts revenue into LINK on the open market, including revenue from enterprise contracts that settle in dollars, which almost nobody else does. Then it puts the tokens in a timelocked reserve. A reserve is not a burn. The tokens still exist, and the contract permits them to move eventually. Scale is the bigger challenge as roughly $60 million a year of conversion against a market capitalization near $7 billion absorbs about 1% of supply, while team-managed unlocks have added multiples of that. Emissions are outrunning absorption by something close to ten to one. The business is winning its market. The token is losing the arithmetic. The ranking that matters is not which protocol buys back the most. It is which promise survives someone changing their mind. Provably unspendable beats code-executed beats team policy beats a vault with keys. The market frequently prices all four the same way. Observations, not advice.

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