Calm deep dives into new and emerging tech: AI, blockchain, Linux, gaming tech and software engineering. Breaking tech news, minus the hype.
Joined October 2026
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Tesla's Robotaxi now runs 24/7 in all 8 cities it serves.
Austin, San Antonio, Houston, Fort Worth, Dallas, Miami, Orlando and Tampa, per @SawyerMerritt. No closing time anymore. The stat to watch now is wait times at 3 AM.
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Nvidia's board is reportedly working with an outside firm to find possible replacements for Jensen Huang, CEO for 33 years, and weighing a temporary CEO, per Bloomberg.
NVDA fell as much as 8% after hours on the WSJ report.
Nvidia is working with an external firm to explore potential replacements for Jensen Huang, after the WSJ reported the board is preparing to oust CEO.
Follow our live blog for the latest updates ⤵️ bloomberg.com/news/live-blog…
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$132B is what Google's Anthropic stake is set to be worth, per The Information.
About 10%, from a roughly $33B investment. Underrated part: the filing commits at least $121B on Google Cloud through July 2033, whether Anthropic uses it or not.
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Google just introduced Gemini Robotics 2.5, its most capable vision-language-action model yet, tested on 200 distinct tasks.
Underrated part: Gemini 4 Argon served as the simulation engine, teaching skills that usually need tons of physical data. Rolling out to partners now.
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AI just proved Signal's protocol secure down to the code, per Google DeepMind. Gemini agents wrote 6M+ lines of Lean proofs, and humans reviewed only the critical 1%.
Formal proofs used to be too slow for real codebases. That excuse is getting thin.
For the first time, AI has mathematically proven @signalapp’s protocol is secure down to the code level.
Using our breakthrough AlphaProof Code framework, we verified the messaging app’s cryptographic system – which protects billions of private messages every day.
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Spectre retweeted
Anthropic says its Claude Mythos model got Claude processing prompts on AMD's MI355X GPUs in about 3 days, with almost no human help.
That job used to take dozens of engineers 6 to 12 months.
Claude wrote or adapted almost all the specialized GPU code needed to make it work.
Anthropic's IPO valuation target could rise to $1.5T or more, per the FT. Bankers are weighing a higher price after heavy demand.
Not priced yet. But a ~$17B quarter tends to make the roadshow easy.
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Anthropic's Q3 revenue hit nearly $17B, up 47% from Q2, per The Information. OpenAI did $10B.
Both grew about 50% on the quarter, so the gap is the base, not the pace. Nice number to have mid IPO roadshow.
Exclusive: Anthropic's Q3 revenue rose 47% from Q2 to nearly $17 billion, keeping it ahead of OpenAI. OpenAI hit $10 billion for the quarter, helped by image models and ad sales.
Full story: thein.fo/4etY3If
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Spectre retweeted
i'm sorry i dont care which model made this but it blows my mind that this is made by an llm AND runs in the browser
claude.ai/artifact/BGY1SztrA…
Spectre retweeted
UX latency is the most frustrating (lack of) advancement in computing over the last ~50 years.
IBM, way back in the 80s, found that user productivity shot up *exponentially* as system response time dropped. The "Doherty Threshold" was defined as ~400 milliseconds; the maximum amount of tolerable UX latency before interrupting user flow state.
It's unbelievable how many modern operating systems (*cough* win11) violate this threshold constantly.
Literally all you need to do as a Dev is pay attention. Add a "Doherty Threshold" to your test suite. There's so many different profiling tools, and especially with how good models are, really no excuse. Sure, some stalls are unavoidable, but that's when you pull out other UX tricks to at least give the illusion of responsiveness.
Crazy how much vintage computing hardware feels immeasurably more responsive despite having thousands of times less overall performance.
Anthropic's IPO is set to raise up to $64.4B, per Reuters' draft prospectus.
825M shares at $70–$78 on Nasdaq as ANT, plus $26B from cornerstone investors. CNBC's up-to-$1.405T figure is fully diluted value, not cash raised.
Anthropic has launched the roadshow for its proposed initial public offering: anthropic.com/news/roadshow-…
Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
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Spectre retweeted
We have dumped JAX/SGLang and rewritten the entire RL and inference stack from scratch in C/C++, which took some extra time.
Training (aka pre-training) is done. Lot of cleanup was needed on the SFT data to get that mostly right. Now, 4.8 is in RL and the evals are starting to climb. We will do a soft rollout to Bot users later this week and see how it goes.
Grok 4.8 will bear no resemblance to 4.7 (thankfully). It is not yet incredible, but, this time, the foundations are built right, so I expect it to evolve to be something special.
JUST IN: Grok 4.8 has finished pre-training and is now in RL, Elon says, with a soft rollout to Bot users planned later this week.
The stack got rebuilt too: JAX/SGLang out, RL and inference rewritten from scratch in C/C++.
We have dumped JAX/SGLang and rewritten the entire RL and inference stack from scratch in C/C++, which took some extra time.
Training (aka pre-training) is done. Lot of cleanup was needed on the SFT data to get that mostly right. Now, 4.8 is in RL and the evals are starting to climb. We will do a soft rollout to Bot users later this week and see how it goes.
Grok 4.8 will bear no resemblance to 4.7 (thankfully). It is not yet incredible, but, this time, the foundations are built right, so I expect it to evolve to be something special.
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Spectre retweeted
Frontier performance at a fraction of the compute.
Today at @i14labs we’re launching Sugar Glider, our new family of LLM architectures!
Join the waitlist for early access: i14.ai
Sugar Glider delivers a new Pareto frontier: extreme memory and compute efficiency whilst maintaining frontier performance, even for large models (tested up to ~1T params).
O(1) per token inference → ✅
Fixed size KV cache → ✅
Frontier long-context retrieval quality → ✅
1 billion token long context retrieval → ☑️**
(**100% -> single needle @ 1B-token context, 90.5% multikey 1 @ 1B-token context.)
How did we do it? Turns out a few decades in the trenches of human memory and language model research is a pretty handy starting point to solve the “intelligence vs efficiency vs memory” conundrum.
... and just for something extra, we’ve been converting some of the most powerful and popular open-weight models to O(1) inference and fixed memory, with each conversion taking just hours :)
Tune in via our waitlist for early model access i14.ai
More results dropping soon!
Spectre retweeted
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
Elon: Cybertruck orders far outpace production, the line shuts in ~8 months, and a lot of deposits get refunded. Not unprofitable, he says, Cybercab just gets the floor space.
Keep building it or let it go?
🤖 Made with AI
The Cybertruck order rate far exceeds our production rate. We will try to make as many as possible before shutting down the line in about 8 months, but will have to return deposits for a lot of people.
This is not a case of Cybertruck being unprofitable, as has been misreported by legacy media, but rather that the opportunity cost of the complexity of Cybertruck is vastly outweighed by the value of incremental Cybercab production.
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