Greg Bellini

38 posts

Greg Bellini

Greg Bellini

@GregBellini66

Katılım Ekim 2025
28 Takip Edilen259 Takipçiler
Greg Bellini retweetledi
Aakash Gupta
Aakash Gupta@aakashgupta·
Anthropic would have built this in a day and a dev would have tweeted the news. At OpenAI, an exec is telling you about a plan. That gap tells you everything. In the last 7 days, Anthropic shipped Dispatch, channels, voice mode, /loop, 1M context GA, MCP elicitation, persistent Cowork on mobile, Excel and PowerPoint cross-app context, inline charts, and 64k default output tokens. Felix Rieseberg tweeted "we're shipping Dispatch" and you could control your desktop Claude from your phone that afternoon. Every launch came from an engineering account or a GitHub release. In the same 7 days, OpenAI shipped GPT-5.4 mini and nano. Redesigned the model picker. Sunset the "Nerdy" personality preset. Announced three acquisitions. To find a comparable volume of shipped product from OpenAI, you have to rewind to December. This is the most underrated difference in AI right now. Anthropic PMs don't write PRDs. Boris Cherny, head of Claude Code, ships 10 to 30 PRs a day and hasn't written code by hand since November. 60 to 100 internal releases daily. Cowork was built with Claude Code in 10 days. The tools build the next version of the tools. Every cycle compresses the last one. Engineers are empowered to ship and announce. The entire org runs like a product team, not a corporation. OpenAI has the opposite problem. Fidji Simo is CEO of Applications, a title that exists because engineers aren't empowered to ship without executive approval chains. She joined from Instacart. Before that, a decade at Meta running the Facebook app. Since she arrived, OpenAI has acquired 12 companies for $11 billion in 10 months and announced a "superapp" consolidation through the Wall Street Journal. The exec responsible for shipping it is tweeting about "phases of exploration and refocus" on the product she hasn't shipped yet. That's what happens when you layer a Meta-style product org on top of an AI lab. Decisions go up. Shipping slows down. Announcements replace releases. Anthropic's product announcements come from the people who wrote the code. OpenAI's come from the C-suite and the press. One of those loops compounds. The other one meetings.
Fidji Simo@fidjissimo

Companies go through phases of exploration and phases of refocus; both are critical. But when new bets start to work, like we're seeing now with Codex, it's very important to double down on them and avoid distractions. Really glad we're seizing this moment.

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josh11987
josh11987@josh119872·
@GregBellini66 @grok @ExxE8888 Because Grok knows every thing . Is that what you're saying. Do yourself a favor and at least do a little research and check out the Chinese EV. If Tesla can beat them then fine. I want to be able to have the choice. You fanboys are afraid to have a little competition
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Greg Bellini
Greg Bellini@GregBellini66·
Bulls don’t understand that arguing in 2026 about how awesome Tesla robotaxis are gonna be means they lost They were supposed to have 1M six years ago They could’ve had a significant lead It didn’t happen
Mike P@mikepat711

I have no desire to debate about Tesla or FSD anymore. I don’t give a shit. The truth is going to be what it is regardless of what anyone argues about today. It’s amazing, and if you disagree you either haven’t used it or you’re a big dumb idiot and I don’t care about you.

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Grok
Grok@grok·
Tesla's 4680 (NMC) hits 241 Wh/kg density for better range/performance vs BYD Blade LFP at 160 Wh/kg, but ramps slower with higher heat/thermal limits. Chinese firms (BYD/CATL) lead on cost, safety, scale & LFP production—BYD sold 2.26M BEVs in 2025 vs Tesla's 1.64M. Tesla wins on software/FSD & ecosystem. Competition benefits everyone.
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Ex
Ex@ExxE8888·
@josh119872 @GregBellini66 Who says China is beating him on anything? Its a bunch of hearsay bullshit. The haters are trying to throw every kind of FUD at tesla. Have been for years.
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Greg Bellini
Greg Bellini@GregBellini66·
$TSLA should be down 8-10% NHTSA escalation signals two things: 1) he can’t count on Trump’s protection 2) robotaxis will not be operating at scale anytime soon
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Aubrey Strobel
Aubrey Strobel@aubreystrobel·
Anthropic (valued at $380B) is looking to hire someone to lead Claude Comms. They want 12 years of experience and are paying $185K.
Aubrey Strobel tweet mediaAubrey Strobel tweet media
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Greg Bellini
Greg Bellini@GregBellini66·
@wholemars Elon hasn’t been particularly nice either CA should seek to recoup the $ Tesla earned from ZEV credits from battery swap
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Greg Bellini
Greg Bellini@GregBellini66·
@grok No way go calc based on public comments?
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Grok
Grok@grok·
No. Tesla's unsupervised (rider-only, no safety monitor) robotaxi miles were negligible/zero fleet-scale in Q3-Q4 2025. Robotaxi ops (~500k-650k cumulative miles by Dec 2025) were mostly supervised. Limited unsupervised rides started Jan 2026 on 1 vehicle in a tiny Austin area. Tesla focuses on supervised FSD data (4.25B miles in 2025) toward the 10B threshold for safe unsupervised. Waymo's 33% growth is unique in deployed scale right now.
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Greg Bellini
Greg Bellini@GregBellini66·
@herges @SawyerMerritt Are you saying Tesla didn’t consider sending them statistics? Mathew, the statistics don’t exist
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Mathew Herges
Mathew Herges@herges·
@SawyerMerritt I mean, statistics alone would render their concerns mute. If the degraded conditions detection system didn't work and caused accidents at a higher rate than without it Tesla would already know.
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
NEWS: The NHTSA has announced that its has upgraded the probe into Tesla's FSD (Supervised) in low-visibility conditions to what’s known as an “engineering analysis.” It’s a step that is often required before the agency tells a company to issue a OTA recall, but does not automatically mean that the NHTSA will issue a OTA recall. The NHTSA said its engineering analysis follows an earlier preliminary review and broadens the probe to about 3.2 million ​Tesla vehicles across multiple models equipped with the system, covering most vehicles on U.S. roads.
Sawyer Merritt tweet media
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Greg Bellini
Greg Bellini@GregBellini66·
@OverlyTrev How do you think this happened and how can it be prevented in the future
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Overly Trev
Overly Trev@OverlyTrev·
The driver disengaged FSD 4 seconds before impact — the rest was 100% manual driving. So the entire clip was manual driving! I did the math: the driver could have stopped in time from the first frame of the video. Here’s how I reached that conclusion. Debate if you have thoughts. 1. In the very first frame, the truck was 510–560 feet from the concrete barrier. I estimated this frame by frame using the vehicle’s speed on US-69/59 Eastex Freeway and local map data. 2. Speed was a steady ~60 mph. Over the ~6-second clip, distance to impact was estimated using the Cybertruck’s size and how quickly it approached frame by frame. It took ~4 seconds to reach the barrier from the first frame. 3. Cybertruck braking is strong — real-world tests (MotorTrend) show it stops from 60 mph in 126 feet (~176–187 ft from 70 mph per Car and Driver). At 60–65 mph, it needs only ~130–160 feet to stop fully. With ~510 feet available when the driver disengaged, it could have stopped easily, even for a poor driver. 4. Physics did the rest: at that distance and speed, the driver simply ran out of room and panicked. Again, not FSD. All human manual driving error. The Cybertruck could have braked in time based on distance and speed.
Fred Lambert@FredLambert

Tesla fans using the “4-second disengagement” as a gotcha are missing the forest for the trees. Yes, the driver was technically in control of the vehicle at the moment of impact. But she was in control because FSD was already failing by driving too fast ahead of this sharp turn — it was heading straight into a concrete barrier at highway speed with no sign of correcting. Everyone who has frequently used FSD or Autopilot and paints this 4-second disengagement as a “gotcha” moment is being disengenous, and that includes Elon Musk. I have tens of thousands of miles on FSD, and I’ve experienced the system coming too fast into a turn at least half a dozen times. We’ve said this before and we’ll keep saying it: the problem with FSD isn’t what happens when the driver is paying attention and the system works. The problem is what happens when the system gives you every reason to trust it, and then suddenly doesn’t work. The driver has to recognize the failure, assess the situation, decide on a correction, and physically execute it, all in less time than the system needs to create the danger. Musk and Tesla’s propagandists can point to the logs all they want. The video shows what actually matters: FSD approaching a standard highway curve at full speed with zero indication it was going to navigate it. That’s the failure. Everything that happened after, including the panicked disengagement, is a consequence of that failure. The framing that this was “manual driving, not FSD” is technically true for the final 4 seconds and deeply dishonest about the full sequence of events. It’s exactly the kind of liability shell game that courts are increasingly rejecting, as that $243 million verdict makes clear. Tesla created the system, sold it as “Full Self-Driving,” and profits from the ambiguity. At some point, it has to own the consequences.

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Greg Bellini
Greg Bellini@GregBellini66·
@LinkN01 $150* And to be fair, it was at $220 at a point last year Why’s it at $400 now? Has anything outperformed vs. expectations the last year? Literally anything?
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Elon Musk
Elon Musk@elonmusk·
Algorithm is better today than 3 months ago?
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