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106 posts

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@m773053

Katılım Eylül 2015
151 Takip Edilen14 Takipçiler
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k@m773053·
@sundarpichai LES GOOOOO! this gotta be Veo4/omni not the fake veo3 slop
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Sundar Pichai
Sundar Pichai@sundarpichai·
On our way to I/O 2026. See you at 10am PT tomorrow!
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Andrew Curran
Andrew Curran@AndrewCurran_·
Google I/O is tomorrow, last chance to get predictions in. I love to guess, so here's mine: The Google team is being strangely quiet about the new Gemini. At this point everyone knows it is arriving tomorrow, along with their personal agent named Spark. This reticence, of course, can be interpreted in many ways. I'm choosing to interpret it in accordance with my nature. I think they trained the largest model they've ever successfully trained - possibly the largest one anyone ever has. And something unexpected emerged at scale. They had their Mythos moment, but not in the same way Anthropic did. Gemini has always been a very different model from Claude. The benchmarks will go out tonight under embargo (they probably already are), but I don't think they will fully reflect what I'm talking about. I think they hit something they weren't even aiming for. Something that surprised them. If I'm right, that surprise will be part of tomorrow's show. We shall find out together in the morning.
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k@m773053·
@dnbt777 keep going!
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k@m773053·
@DavidSacks Ya this is why the "power constrained" argument is BS. Its <5% of TCO and can be built up as demand increases.
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David Sacks
David Sacks@DavidSacks·
Back-of-envelope numbers for 1 gigawatt data center: All-in Capex: ~$50 bn Enterprise revenue generated: ~$25-30 bn/year Electricity cost: $1-2 bn/year ~2 year payback. The boom is real.
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k@m773053·
@Yuchenj_UW Bro thinks llama gets to be on the timeline 😂
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Yuchen Jin
Yuchen Jin@Yuchenj_UW·
I’m reporting a murder.
Yuchen Jin tweet media
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k@m773053·
@usr_bin_roygbiv Deepseek better?? Cope harder my friend
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Roy
Roy@usr_bin_roygbiv·
it's hard to understate how actually over it is for Anthropic to people. Normies using claude at work don't understand. Because of the exponential gains on RL and china catching up it's genuinely over for anyone other than OAI unless elon or google does something absolutely wild
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k@m773053·
@MumbaiLad @jukan05 the operating margin is decent since nearly all the cost is hardware capex. They are making back $6B on a datacenter that cost probably way more than that but it still stops the cash burn and accounted losses.
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Kartikeya Mehta
Kartikeya Mehta@MumbaiLad·
@jukan05 "xAI can recognize $6B of annual revenue from a single contract, an amount that almost precisely offsets its Q1 2026 annualized net loss of $6B" Do we know the margin on this revenue?
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Jukan
Jukan@jukan05·
What the SpaceX–Anthropic Deal Means Two weeks ago, we published a note laying out what GPT-5.5's release implied. The conclusion was simple: whoever secures compute first, in greater volume, and with greater reliability ultimately takes the win. With OpenAI's 30GW roadmap dwarfing Anthropic's 7–8GW, we closed by arguing that the structural advantage on compute sat with OpenAI. Less than a fortnight later, that conclusion is being tested. On May 6, Anthropic signed a single-tenant lease for the entirety of Colossus 1 with SpaceXAI — the infrastructure subsidiary that consolidates Elon Musk's xAI and SpaceX. The asset carries more than 220,000 GPUs and 300MW of power, and crucially, is scheduled to come online within this month. It served as the capstone of Anthropic's April blitz, which added 13.8GW of cumulative capacity over the span of a single month. On headline numbers alone, OpenAI took more than a year to stack 18GW; Anthropic has put 13.8GW in the ground in thirty days. The takeaways break down into three. First, the compute pecking order has been redrawn again. Anthropic has now swept up the AWS expansion (5GW, with $100B+ in spend commitments over a decade), Google + Broadcom (3.5GW of TPU), Google Cloud (5GW alongside a $40B investment), and now SpaceXAI's Colossus 1 (0.3GW). Cumulative committed capacity, inclusive of pre-April allocations, sits at 14.8GW. This is still only half of OpenAI's 2030 target of 30GW, but the fact that the SpaceX lease will be live inside a month makes "deliverability" a qualitatively different proposition. Second, Elon Musk is the plaintiff in an active lawsuit against OpenAI — and at the same time, the supplier handing 220,000+ GPUs and 300MW of power, in one block, to OpenAI's most formidable competitor. The timing matters: the deal was struck in the middle of the Musk–Altman trial. We read this as a deliberate pincer with OpenAI in the middle. In the courtroom, Musk works to dismantle the moral legitimacy of OpenAI's leadership; in the market, he arms Anthropic to absorb OpenAI's revenue and user base. Third, the structure is financial-engineering perfection — a clean win-win for both sides. xAI can recognize $6B of annual revenue from a single contract, an amount that almost precisely offsets its Q1 2026 annualized net loss of $6B. It also accelerates the cleanup of SpaceXAI's pre-IPO balance sheet, with the entity now being floated at around $1.75T. Anthropic, on the other side, converts roughly $5B of spend into what it expects to be $15B of ARR via the coming inference-revenue surge. (Mirae Asset Securities, May 8, 2026)
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k@m773053·
@SemiAnalysis_ @veritasium Ya it's people making videos as their job instead of as their passion and you can tell
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SemiAnalysis
SemiAnalysis@SemiAnalysis_·
OPINION: Ever since private equity bought the @Veritasium YouTube channel, the content just hasn't been as good. Used to be a GREAT channel, maybe the best Science channel on YouTube, and now? SAD! Very UNFORTUNATE 😭
SemiAnalysis tweet media
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k@m773053·
@synthwavedd @arena They normally just use a codename lmao source?
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leo 🐾
leo 🐾@synthwavedd·
so apparently gemini 3.2 pro is being tested under "gemini-3.1-pro" on @arena's Code Arena (they have done this kind of stealth testing before) ...and if this is really 3.2 pro, it's not looking good. somehow they gpt-ified frontend? hopefully this is an arena-specific quirk
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Bryan Johnson
Bryan Johnson@bryan_johnson·
What is the prompt to give Claude a psychedelic experience?
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k@m773053·
@TechEmails God I love discovery 😂
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Internal Tech Emails
Internal Tech Emails@TechEmails·
Sam Altman texts Mira Murati November 19, 2023
Internal Tech Emails tweet mediaInternal Tech Emails tweet mediaInternal Tech Emails tweet mediaInternal Tech Emails tweet media
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The AI Investor
The AI Investor@The_AI_Investor·
Can someone explain why Elon is selling compute to Anthropic, given all the negativity he has posted about the company?
The AI Investor tweet media
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k@m773053·
@MetacriticCap Openai prob seriously worse dollar per watt bc of all the free users and less enterprise
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k@m773053·
@FredLambert It was a bailout many thought so back then
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Fred Lambert
Fred Lambert@FredLambert·
So what did he make Tesla and SpaceX investors buy for $250 billion? Twitter (realistically ~$12b, but Elon's inflated value of ~$44b) and then Colossus 1 and 2? Realistically worth ~$20b. That's it. Even with the most generous valuation, it is fairly clear that Elon made Tesla and SpaceX investors over pay for xAI by a good $100 billion. Easy.
Fred Lambert tweet media
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k@m773053·
@ScottInLondonYa @skorusARK Yep way inferior costs compared to the hyperscalers they are just doing this to get some wasted capex back
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Scott
Scott@ScottInLondonYa·
@skorusARK xAI has nothing proprietary here, just NVIDIA chips and gas turbine electric generators.
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Sam Korus
Sam Korus@skorusARK·
Anthropic reportedly cut off xAI at the model layer, then signs a deal because they need the compute. Tells you a lot about which layer of the stack holds more power (literally)
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Rerum Novarum // Intel, Breaking News, and Alerts
🇺🇸🇮🇷⚡- "Assuming Iran agrees to give what has been agreed to, which is, perhaps, a big assumption, the already legendary Epic Fury will be at an end, and the highly effective Blockade will allow the Hormuz Strait to be OPEN TO ALL, including Iran. If they don’t agree, the bombing starts, and it will be, sadly, at a much higher level and intensity than it was before. Thank you for your attention to this matter!" - President Trump on Truth Social.
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Manish
Manish@rocksmani3·
@matt_slotnick People are investing in mirage! Catastrophic damage is inevitable
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Matt Slotnick
Matt Slotnick@matt_slotnick·
anthropic added an entire servicenow worth of run rate revenue in the last 30 days… can you imagine telling someone that a few years ago?
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k@m773053·
@0xdoug @systemic_whisk They use it for research and modeling they don't just chat with it bro
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Doug Colkitt
Doug Colkitt@0xdoug·
@systemic_whisk It seems unrealistic to believe that non technical workers are using more than 1m tokens per day? The average chat bot interaction is about 15k tokens
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Doug Colkitt
Doug Colkitt@0xdoug·
I’m really struggling to see how the back of the envelope math on this works out… There are generously 4 million characterized “software workers” in America. That’s pretty broad and includes a lot of people who aren’t really classical engineers don’t produce that much code. That comes out to nearly $1k per month of average Claude spend across every dev in America. Yes, there’s some international usage, but it can’t be that much. Yes there is some non software Cowork usage, but that doesn’t use that many tokens. Yes, some non engineers are using Claude to vibe code, but I really doubt many are spending hundreds per month on. Even if we assume 50% of all software workers are using Claude, that comes out to $2k spend per month per Claude user. Thats 10X more than the highest tier Max subscription. So almost all of Anthropics revenue has to be API billing So the only explanation is that something like 20%+ of software engineers are not only Claude users but on API billing and regularly spending thousands per month. At $5/m Opus tokens that means the average API user has to be going through something like 25 million tokens per day. *OR* the other possibility is API revenue is heavily power law dominated. Maybe there’s just something like 100k super users who are making up the majority of the revenue. For that to work the typical super user would have to be spending on the order of $50k/month and guzzling nearly 1 billion tokens per day.
Tannor Manson@Futurenvesting

Anthropic is now showing off $44 BILLION in annual recurring revenue. This is up $14 billion (+46.6%) since last month! BULLISH for AI Infrastructure $NVDA $AMD

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brb.
brb.@DOdeniyi9389·
@jshobrook What is Anthropic doing with sonnet? It costly and behind?
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Jonathan Shobrook
Jonathan Shobrook@jshobrook·
We beat Sonnet 4.6 with a 500B model. Bigger runs are on the way.
Artificial Analysis@ArtificialAnlys

xAI has launched Grok 4.3, achieving 53 on the Artificial Analysis Intelligence Index with improved agentic performance, ~40% lower input price, and ~60% lower output price than Grok 4.20 The release of Grok 4.3 places @xAI just above Muse Spark and Claude Sonnet 4.6 on the Intelligence Index, and a 4 points ahead of the latest version of Grok 4.20. Grok 4.3 improves its Artificial Analysis Intelligence Index score while reducing cost to run the benchmark suite. Key Takeaways: ➤ Grok 4.3 improves on cost-per-intelligence relative to Grok 4.20 0309 v2: it scores higher on the Intelligence Index while costing less to run the full benchmark suite. Grok 4.3 costs $395 to run the Artificial Analysis Intelligence Index, around 20% lower than Grok 4.20 0309 v2, despite using more output tokens. This makes it one of the lower-cost models at its intelligence level ➤ Large increase in real world agentic task performance: The largest single benchmark improvement is on GDPval-AA, where Grok 4.3 scores an ELO of 1500, up 321 points from Grok 4.20 0309 v2’s score of 1179 Grok 4.3, surpassing Gemini 3.1 Pro Preview, Muse Spark, Gpt-5.4 mini (xhigh), and Kimi K2.5. Grok 4.3 narrows the gap to the leading model on GDPval-AA, but still trails GPT-5.5 (xhigh) by 276 Elo points, with an expected win rate of ~17% against GPT-5.5 (xhigh) under the standard Elo formula ➤ Grok 4.3’s performs strongly on instruction following and agentic customer support tasks. It gains 5 points on 𝜏²-Bench Telecom to reach 98%, in line with GLM-5.1. Grok 4.3 maintains an 81% IFBench score from Grok 4.20 0309 v2 ➤ Gains 8 points on AA-Omniscience Accuracy, but at the cost of lower AA-Omniscience Non-Hallucination Rate of 8 points, so Grok 4.20 0309 v2 still leads AA-Omniscience Non-Hallucination Rate, followed by MiMo-V2.5-Pro, in line with Grok 4.3 Congratulations to @xAI and @elonmusk on the impressive release!

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k@m773053·
@sama "we own all of it" Satya got rugged 😂
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Sam Altman
Sam Altman@sama·
we have updated our partnership with microsoft. microsoft will remain our primary cloud partner, but we are now able to make our products and services available across all clouds. will continue to provide them with models and products until 2032, and a revenue share through 2030.
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