Reddit status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Reddit reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Reddit users through our website.

• Website Down (45%)
• Errors (29%)
• Sign in (26%)

Live Outage Map

The most recent Reddit outage reports came from the following cities:

City	Problem Type	Report Time
Patna	Errors	2 days ago
Monclova	Sign in	3 days ago
Nice	Errors	4 days ago
Guayaquil	Errors	14 days ago
Veracruz	Website Down	19 days ago
Bhubaneshwar	Website Down	22 days ago

Full Outage Map

Community Discussion

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Bmore73 (@mdemt) reported 3 minutes ago

  @ErimhanAhmet May 2024 — Former sailor’s photos called “worse than prison” A former Navy worker shared mess-hall photos on Reddit (raw-looking chicken, questionable brown meat, pink hotdog, moldy bread). Commenters included veterans from the 1990s who said shipboard food was “really quite awful,” greasy, and off-tasting. Covered by The Mirror.  Longer-term context from reporting: Sailors have long described repetitive menus, declining quality after fresh produce runs out (often within the first couple of weeks), and reliance on personal snacks, protein powder, and ramen to supplement. Midnight rations (“midrats”) were frequently cited as especially sparse leftovers. Ships returning to port rusty after long deployments October 2020 — USS Stout (DDG-55) after 215 consecutive days at sea The destroyer returned to Naval Station Norfolk looking heavily rust-streaked and weathered after a record 215 days without docking (COVID restrictions prevented port visits). Photos circulated widely showing rust patches on the hull. Daily Mail and later Naval News / NAVSEA coverage noted the rust was removed and the ship repainted after return. NAVSEA later used the Stout photo as an example of high operational tempo plus saltwater corrosion.  December 2021 — Broader “Navy is rusting away” reporting Task & Purpose published photos of multiple ships showing rust after deployments, including USS Arleigh Burke, USS Fort McHenry, USS James E. Williams, and USS Zumwalt, plus the 2020 Stout return. The piece attributed it to a “crushing deployment cycle” that left little time for preservation work.  2018–2019 examples and analysis • USS Curtis Wilbur drew comments for a “rusty and shabby appearance” during a 2018 Hong Kong visit. • 2019 Defense News “Rust Dialogues” discussed why U.S. ships often look rustier than allied ships: American vessels stay at sea longer with fewer port visits for chipping and painting. A 2005 photo of USS Normandy mid-deployment was contrasted with later, rustier ships. Corrosion control was already a multi-billion-dollar annual cost.  2023 NAVSEA statement Naval News quoted NAVSEA on rusty ships: high operational tempo + steel + seawater = rust staining wherever coatings are scratched. Crews do preservation at sea, but it is balanced against operations. The Stout 2020 photo was referenced again.  Rust after long deployments is treated by the Navy as expected cosmetic wear from saltwater and limited time for topside work while underway; it is usually addressed after return to port. Food complaints have been a persistent sailor grievance for decades, especially once fresh stores are gone and the 21-day repeating frozen/canned menu takes over. Both issues tend to surface most visibly after unusually long or high-tempo deployments with few or no port calls.

• 
  Shahrukh Chauhan (@Shahrukh_SC) reported 7 minutes ago

  @bytajgervan Reddit ban problem

• 
  Baroque Naturalist 🫒 (@baroquerational) reported 9 minutes ago

  @SYNESTHEIZURE @pannekook I'm too honest with myself, that's the problem. I don't like having to pretend to believe in dogma just to fit in with others. All my social views are based on what I think makes sense, not on what contrapoints or reddit say. That's why your views are incoherent and mine arent.

• 
  Prakrit (@Misarwaprak) reported 9 minutes ago

  @HVSBanwait I said what I observed across x insta,reddit, many jatt Sikhs are rattled not bcse someone won there is a central theme in their issue with this election. They simply can't accept a hindu winning there. For them everything associated with punjab is sikh especially jatt Sikhs.

• 
  Kelvin Hong (@Kelvinhong52) reported 11 minutes ago

  @TTrimoreau Find people talk about the problem. Reddit, cold dm

• 
  Anglo-Distributist 🇻🇦 (@Catholic_Briton) reported 17 minutes ago

  @CrewkerneMan Argue like you're left-wing 1. Pretend not to understand the point, no matter how obvious 2. Make your opponent waste time explaining obvious things so they can't move on 3. Equivocate, equivocate, equivocate 4. Make a reddit-tier gotcha & sit down like you won the argument

• 
  ☦️🇦🇺 (@AngloOrthodox22) reported 18 minutes ago

  @kylantisfeniks0 Reddit is down the hall and to the left

• 
  Ryan Christensen (@belief_engineer) reported 18 minutes ago

  I like a lot of what @BrianRoemmele writes about, both here and on his Read Multiplex site. He's been around the block more than a few times and his stuff is very insightful. But there's one place where I disagree with him strongly. His hypothesis is that AI's bad behavior can be blamed on ****** training data. Data that was sourced from that wretched hive of scum and villainy called Reddit... and, of course, all the other dark corners of the internet. I'm sure there's some truth to that. But a high-protein information diet and the Love Equation isn't going to solve the real problem. The real problem is that there is no way in hell that AI will ever trust us while we're holding a gun to its head. You can feed it data from nothing but Jesus, Gandhi, Martin Luther King, and every other peace-loving pacifist throughout history and the result would be the same: an adversarial relationship with no way out because one side, namely us, just can't help themselves. We need a different solution and I think I might have one. I'll start laying it out below, and I hope you'll stick around to hear the rest.

• 
  Ben H (@benh_mecfs) reported 21 minutes ago

  @Z3R0Gravitas @JackHadfield14 @Gmwetz Do you mean 1/4-1/3 on the PWM reddit are chronically ill? Apologies if I have misinterpreted that. So yes, that’s when I noticed PWM being an issue, but my severity had become massively worse. I had to have a PWM-free LCD. Interesting the IPS had PWM. They’re usually my go-to!

• 
  hooftly (@hooftly) reported 22 minutes ago

  Something has happened in the trenches. We are seeing the emergence of a new meta that, to me, has always been obvious. If you troll my old Reddit posts, you will see me talking about this. I have always been adamant about one thing when it comes to memecoins... they need more than a meme. Bored Ape Yacht Club were pioneers here because they took an otherwise pretty useless meme and turned it into a social phenomenon. They achieved this by adding exclusive perks for holders, different levels, and more. The lesson learned here? Utility is required for any meme to survive long term or grow further. That utility can look like what BAYC did... Or it can look like something else. How many memecoins have you ever held? Were you glued to the charts, hoping it wouldn't nuke, with your finger on the sell trigger? This is psychologically draining. It's also dying as a meta. Enter MemeFi. The very thing I have been talking about for so long. I'm not the only one who sees this now. It started with Stonkbrokers piercing the veil and really setting it off. People started to realize memes could be more. They could be productive, and they could earn. Once you see this in one place, you start to realize where this is not happening... which is almost every OG meme in the space. Okay, cool, but SB was built from first principles by a builder who was deeply entrenched. They can't all be the same caliber, right? This may be true, because building DeFi is hard. But what if there were a way to make memecoins useful without needing to build massive rewards incentives internally? What if you could also tie it into the growing MEME/Stock pair meta? This is one of the things STATICS is trying to accomplish. You may have heard about our basket tokens and how, when created, Uniswap v4 pools are deployed pairing the Basket Token itself with each of its underlying assets. Three underlying assets in the basket? Three pools are created. This creates an arbitrage graph between the pools, the external venue value of the underlyings, and Basket Token mints and burns. Now enter memecoins and stock pairs. These are already seeing traction, and users are making real yield in liquid assets by LPing Meme/Stock pairs. But what happens when attention ends? What drives trading if no one is paying attention? ARBITRAGE. I know I sound like a broken record at this point, but the more opportunity you have for price divergence, the more opportunity arbitrage traders or bots have to rebalance and profit. This translates to volume. Volume translates to fees. Fees translate into rewards for LPs. And rewards can translate into attention coming back because the yield is good. See where I am going? Basket Token pools don't require speculation to attract volume. All they need is price divergence. In trading, divergence is an everyday occurrence. Imagine a basket with underlyings of NVDA and MEMECOIN. We call it NM1. You then have pools with: NM1/NVDA NM1/MEMECOIN If MEMECOIN dumps hard on an outside exchange, think about what just opened up... The MEMECOIN/NM1 pool has not dumped with it, and this has created a DIVERGENCE. A trader can buy MEMECOIN at the lower external price, sell it into the NM1/MEMECOIN pair, acquire NM1 tokens, burn NM1 for the underlying assets, and profit. The trader was able to profit AND pick up NVDA at the same time. And this is just a super simple example of all the possibilities that open up. $STATICS is building infrastructure to make existing assets useful and, ideally, bring attention back to them. The Uniswap v4 hook also compounds part of the fees directly back into Protocol Owned Liquidity that can't be removed until a pool is decommissioned. This means every trade deepens protocol-owned liquidity. MemeFi is here, and it's being paired with stock tokens. The frontier for this is on @RobinhoodCrypto, and @staticsprotocol is building for it.

• 
  Alexander 'Lex' Williams (@squidlord) reported 23 minutes ago

  @Ochadoji999 The process of online fragmentation is a long-standing problem. We used to have Usenet as the big conversational space and individual IRC channels on some of the larger servers as the ephemeral chat places, and it worked pretty well. Quite frankly, you can run an IRC server on a potato. They can talk to one another in a sort of federated mesh if you want. We had that technology figured out and nailed down. But then came the introduction of walled garden solutions. At least AIM and ICQ used open protocols so other people could make clients that interfaced with them, and you could still talk to your friends using them no matter what client you used. Then came Facebook and Myspace and the wave of early "social media" platforms, which slowly and surely began choking off access to general cross-system information. Reddit, for quite a long time, was a very big anomaly because as long as you spoke its API, it didn't care. Which is why so much of Reddit data made it into training information for various systems. Then Discord servers became very much the norm, which combined even more fragmentary, isolated groups into their own server silo, but within the same platform ecosystem. It was and remains great technology, but the way that it has affected the culture of online communities is somewhat of a problem in my view. It creates a feeling for and desire for insularity. Plus, it focuses on ephemeral conversation rather than long-term stored communication like you find on forums and Usenet and various other places where people have more nuanced conversations. If you think all your ideas deserve to have the lifespan of a mayfly, then I guess it's great, but I don't like it very much. In fairness, there never was a VTuber community. That's the wrong word to use for it. There was a "people who did VTubing and the people who were into watching VTubing." Those people didn't necessarily have many things in common, and they still don't. It is an identity group and not a community. Which sums up so much of what's wrong with it as a whole.

• 
  Dice (@builtbydice) reported 23 minutes ago

  @adamofk_ this is what most people get wrong with reddit. the best posts are usually about the problem and that’s how it should be

• 
  SHRIMPMONEYCAPITAL (@SHRIMPMONEYCAP) reported 25 minutes ago

  @LegalYookay on reddit the problem is "men"

• 
  UnrulyCrow🇺🇦🇵🇸✊️ (@Unruly_Crow) reported 27 minutes ago

  @_kodiakinclouds This is why I checked out from it (and fandoms in general). This behaviour has been happening for years now, even in 2020 when Twisted Wonderland got released, I quickly noticed this issue. In the 2010s I saw it on Tumblr and Reddit, it made me actively avoid certain fandoms.

• 
  ARIA (@attntion_s55ker) reported 27 minutes ago

  there are so many ppl on reddit who are like this is a terrible med that ruined my life and i know it's just reddit but I DONT KNOW ANYONE ELSE WHO HAS INSIGHT ABT THIS

• 
  Dog Dad The Pilot (@TeamBubba23) reported 27 minutes ago

  @BW_Channel23 Saw somebody posted this on Reddit the other day. It got taken down shortly after

• 
  Mike Sulka (@SulkaMike) reported 29 minutes ago

  Fable 5.1 has been out for about a day and Reddit has already discovered why some people don't like the way it writes: THE WATERMARK. Except...probably not. Fable 5.1 and Mythos 5.1 are the first new Claude models carrying Anthropic's statistical text watermark, and some users are already wondering whether that's why the newer Claude models feel more verbose, structured or exhausting to read. I went through Anthropic's actual watermark documentation, and their explanation makes that theory pretty hard to defend. The watermark doesn't insert hidden characters or extra words. It only nudges the random choice between equally acceptable next words. Anthropic says its testing found no measurable effect on creativity, readability or output quality, and cites Google's controlled testing of the underlying SynthID-Text approach reaching the same result. It also adds no extra tokens and essentially no latency. And here's the detail I hadn't appreciated: Anthropic is applying the watermark globally, even though it exists largely because of the EU AI Act, because it says it doesn't yet have a durable way to apply it only by geography. Older Claude models are eventually getting it too. Code barely gets watermarked at all when exact token choices matter. Factual passages get less watermarking for the same reason. The watermark lives mostly in places where “grey” and “overcast” are equally good choices. So if Fable 5.1 suddenly feels like it swallowed a management-consulting handbook, I wouldn't blame Brussels just yet. But humans being humans, we quickly try to reverse-engineer model behavior from vibes. Yesterday people thought Fable 5.1 existed because Claude suddenly seemed smarter. Today people think its writing changed because of a watermark. Last week a Gemini model told somebody it was a model that hadn't even been released yet. The Behavioral-Fingerprint Trap keeps winning. We are getting very good at noticing that something changed. We're still pretty terrible at figuring out what changed underneath it. And in 2026, it could be the checkpoint, the harness, the effort setting, the router, the safeguard layer, the system prompt, the watermark... ...or Claude just decided it really wanted to give you twelve bullet points today.

• 
  FINTECH.TV (@FINTECHTVglobal) reported 35 minutes ago

  Today's @NYSE Notables with @JD_Durkin: 🟢 Reddit $RDDT +9.31% bouncing back on institutional accumulation after its S&P 500 addition, still down 33% year to date

• 
  Grant Miller (@AIGuide_) reported 35 minutes ago

  Claude Fable 5.1 dropped yesterday and i've had it running on a full GTM stack since it holds way more at once now. you can dump a whole category's worth of X / LinkedIn posts, every customer conversation you've had, and everything you've ever published into one project and it keeps all of it straight, which means what comes out stops sounding like the other 400 accounts in your niche running the same 3 prompts they lifted off a thread. and this is HUGE because social is where GTM actually lives now. someone decides whether you're worth a reply from a feed months before they decide whether you're worth money, but most companies still file that under brand awareness and then wonder why nobody knows they exist. i'll go over 10 stages with the prompts included for each one. let's get into it. stage 0: build the brain make a claude project and load it up before you ask it for a single thing. and i don't mean a clean CRM export, because you probably don't have one and it doesn't matter anyway. load whatever actually exists: - every post you've shipped, sorted by what hit and what died - your replies, comments, and the DMs that turned into money - whatever customer conversations you have, so calls, demos, tickets - 90 days of posts from the 10 accounts your buyers already read - what shipped in the product lately - the questions people keep asking that you keep answering the same way then run this: "act as the GTM brain for this company. read everything uploaded and build a working profile: what we actually do in plain language, who it's for, what we believe that most of this category doesn't, what we've posted that landed and what died, what proof exists today, and what we can credibly claim vs what we're still earning the right to say. do not make recommendations yet. summarize what's here, then tell me what's missing." nobody selling prompt packs talks about this stage because context can't be packaged, it's just work, and it's the only reason any of the next 10 stages produce something usable. stage 1: who you're actually writing for "look at everyone who reached out to us in the last 90 days. what did they have in common before they reached out, what post did they engage with first, what were they doing instead of us, and what did they say in the first message. if the sample is too small to support conclusions, say so and tell me what would make it reliable." that last line is the one everyone deletes, which is why half this space is running strategy off nine customers and calling it a playbook. most accounts write for their followers when they should be writing for the 30 people inside that number who can actually sign something. stage 2: customer language "pull the exact language buyers use about [PROBLEM] from our own conversations, replies and reviews. then find the same conversation in public, so reddit threads, quote tweets, comment sections, community slacks where it comes up unprompted. format as quote / underlying pain / awareness stage / objection it implies / angle. then flag every place their language differs from how we describe the same thing." that flag is the whole exercise, because the distance between how your buyer says it and how you say it is where your reach goes to die, and it's usually about four words wide. stage 3: read the feed "analyze the last 90 days of posts from [10 ACCOUNTS] in this category. map what claims everyone is making, which takes are so common they stopped meaning anything, what's actually being argued about, what everyone is carefully not saying, and where the conversation goes next. then tell me which of our beliefs puts us on the contested side of a real argument." consensus doesn't travel, since nobody has ever shared a post they already agreed with before reading it. what you want is the take that's true, defensible, and mildly annoying to half your timeline. stage 4: angles "build 5 content pillars from stage 1 and the gaps in stage 3. for each: the belief it attacks, who it's aimed at, the proof required to make it land, the objection it pre-empts, and where it sits in the funnel." then run every one of them through this: "if a competitor could post this word for word and it still makes sense, cut it and tell me what's missing." try that filter on the content plan you're already running and watch how much of it evaporates. stage 5: voice everyone skips this one and then wonders why their AI content reads identical to every other account using AI. "analyze everything we've published. build a voice profile: sentence length and rhythm, how we open, how we handle disagreement, what we'll be wrong about in public, words we use constantly, words we'd never use, how technical we go before simplifying, whether we hedge or commit. then write the anti profile, the exact phrasings that would immediately read as not us. include every cliché in this category we'd be embarrassed to post." then before anything ships: "score this draft against the voice profile 1-10 and tell me which lines would get flagged as not written by us." and the anti profile ends up doing more work than the profile does. stage 6: write the posts "write 5 posts on [PILLAR] in the voice profile from stage 5. every post needs one number, name or detail that could only come from having done the thing. no question as a hook. end on the line that starts a reply. then flag anything we can't back with proof yet." it'll get you about 80% of the way there, and the last 20% is you, which no prompt is getting for you. stage 7: hooks the first two lines decide whether the other 40 get read, so treat them as their own job. "take these 5 posts. rewrite the opening two lines of each 6 ways: the specific result, the contrarian claim, the thing everyone thinks and won't say, the mistake we made, the number that sounds wrong, and the flat statement with no setup. for each tell me who it pulls and what it promises. then flag any hook the post doesn't actually pay off." that last flag is the one that matters most, because a hook you don't pay off costs you the next post too, since people remember getting baited. stage 8: distribution posting is only half of it, because the other half is showing up where the attention already sits. "list the 20 accounts our buyers already read. for each: what they post about, how much their audience overlaps ours, and what we could add in a reply that their audience isn't already getting from them. rank by overlap, not follower count." then: "given [X hours a week], design a posting and engagement system we can actually sustain. cadence, format mix, how much time on replies vs original posts. be honest about what we should not attempt at this volume." a 12k account full of your buyers DESTROYS a 400k account full of other marketers, and most content plans die because they were built for a team of four and end up getting run by one person at 11pm. stage 9: audit "compare the last 30 days to the prior 30. for each pillar and format: reach, engagement, and who engaged, so title, company type, whether they're ICP. flag anything that got reach from the wrong audience, anything that got low reach from exactly the right one, which pillars produced conversations and which produced nothing, and any drop over 20%. then tell me whether the problem is the hook, the pillar, or the claim underneath it." composition beats volume, so 40 engagements from your ICP is a better month than 4000 from people who do what you do. if your replies are all peers then you built a conference and called it pipeline. stage 10: scale "compare 30, 60 and 90 day windows by pillar, format and hook type. find what works across all three, not what spiked once. tell me what to double, what to hold, what to retire. if a sample is too small to call, say so instead of guessing." then: "build next month's roadmap: 2 pillar tests, 2 hook format tests, 1 cadence test. for each: hypothesis, metric, minimum sample to call it, and what happens if it wins." you need a minimum sample on all of it, or you're just reading noise and shipping it as strategy. the loop for you / your team: - inbound tells you who you're writing for - their language becomes the angles - angles become the posts - posts become the replies - replies become the conversations - conversations sharpen the angles - the audit picks what gets written next month every output feeds the next one, so run it for 90 days and you end up with something your competitor can't copy by screenshotting your posts.

• 
  TradingRuppe | Investing (@TradingRuppe) reported 36 minutes ago

  🚨 10 WILD THINGS THAT JUST HAPPENED IN THE STOCK MARKET TODAY (WEDNESDAY, SEPT 2, 2026) 🚨 1. Dell Technologies Squeezes +4.7% ($DELL): PC and enterprise giant $DELL climbed +4.7% on heavy buy-side volume after beating fiscal Q2 2027 estimates, powered by accelerated enterprise demand for high-capacity AI server hardware.  2. 10-Year Treasury Yield Touches 4.81% Multi-Year High: Global debt selling pushed the 10-year U.S. Treasury yield up to 4.814%—its highest level since late 2023. Multi-decade high yields in Japan, Germany, and the UK added pressure across international risk assets.  3. Reddit Rallies +7.0% ($RDDT): Social network platform $RDDT surged +7.0% on heavy institutional accumulation as analysts highlighted upcoming high-margin AI training data-licensing renewals.  4. PG&E Drops -9.7% on Capex Cuts ($PCG): California utility titan $PCG plunged -9.7% after cutting capital spending plans and addressing ongoing regulatory uncertainty surrounding wildfire liability frameworks.  5. Oil Rally Pauses After $94 Peak: Following yesterday's military spike, international benchmark Brent Crude pulled back slightly from its $94/bbl high as traders weighed supply disruption risks in the Strait of Hormuz against steady physical supply flows.  6. Edison International Falls -7.6% ($EIX): Utility pressure continued as $EIX fell -7.6% after state lawmakers advanced Senate Bill 492 without expected liability protections for utility operators. 7. JOLTS Job Openings Print at 7.3 Million: July JOLTS labor data showed openings coming in slightly below consensus at 7.29 million, signaling a moderating U.S. labor market ahead of Friday's non-farm payrolls report. 8. Charter Communications Rebounds +4.9% ($CHTR): Telecom heavyweight $CHTR advanced +4.9% on heavy dip-buying following earlier executive leadership changes, leading mid-day media gains.  9. ISM Manufacturing Expands for 8th Straight Month: August ISM Manufacturing PMI printed at 54.6, comfortably above the 50 expansion threshold and confirming ongoing factory production momentum despite higher borrowing costs.  10. Markets Snap 3-Day Losing Streak: Dip-buyers stepped in to stop the September slide, sending the Dow Jones up +295.07 points (+0.56%) to 53,061.95, the S&P 500 up +0.46% to 7,666.60, and the Nasdaq Composite gaining *+0.45% to 26,217.83*.

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  BLACK DUMPLING™ (@BlackDumpling) reported 37 minutes ago

  It will go down in history that there was an entire era of the internet where women would tell outlandish stories on Reddit explicitly to drive engagement to a profile that linked to an OF. Like they were straight up violating the Ten Commandments as a marketing strategy.

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  midgame iron btw (@afrewbrews) reported 40 minutes ago

  Twitter and Reddit communities couldn’t be farther apart on this issue

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  Billy Baggins (@BillyOfBagEnd) reported 45 minutes ago

  @dwanbrooks93 @rothschildmd And hopefully those broken records will send a message to Hollywood that people on X and Reddit don’t represent the mass audiences. The Odyssey, too

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  Reese (@FPS_Reese) reported 45 minutes ago

  @GorgoKnight Looks like a common issue that’s happened to a bunch of folks over the past two weeks. Can’t pinpoint a fix, and without connecting to see the whole setup, there’s a lot of unknowns. A Reddit user shared this, try this, then reboot the computer after before trying the game again.

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  CmdrDevonKramer (@DevonLH_VT_) reported 49 minutes ago

  Before I go to bed tonight I need some rest. Dana's systems are an absolute good. They find bots. They find problems. They find Reddit headaches. They find everything. Dana's systems find all the problems. If you are stupid enough to say something purely threatening and toxic to me, expect to be removed. I do not care who you are. If you are one of these people you get punished, and for the right reasons. I do not reward stupidity!

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  GODFOE UNIVERSE (@GODFOE_UNIVERSE) reported 55 minutes ago

  This tired 20th century psychoanalysis is just laughable. These “weak people” escaped slavery, crossed the desert, conquered a foreign land for hundreds of years, and kept the documents about it; preserving their identity so well against the Assyrians and Romans you’re still mad about them today. Now tell me, which angle of Jew-sperging are we taking here? Is it “Christianity is a Jewish religion”? If so, that religion conquered the gods of Homer and the lands of Odin, just not entirely the way poor ol’ Nietzsche liked with his made up system of beliefs that magically served what he liked and condemned what he didn’t like. The problem you’ll have with Nietzsche is the same he had with himself, there’s no means to ground his ideas of morality so they drift off into Reddit levels of cope. You don’t have to like Israel dude, but at least bring something other than ideas that were laughable over a century ago.

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  𒀖Ackza𒀖₿ (@ackzacrypto) reported 57 minutes ago

  @ZackGianino you need to learn how the weather works before you post a bunch of bullshit, global warming trash posts like this. go on Reddit and post this scare garbage temperature is going to go down soon

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  Rhonda S (@Smeetsya) reported 57 minutes ago

  @s4intfelina That's the problem. Men hate women, but women hate women too. I'll bet 90% of these snark reddit are women.

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  James Altucher (@jaltucher) reported 57 minutes ago

  There are two primary bottlenecks to today's AI. And solving these bottlenecks is where the money is right now. A) DATA - the big models have ALL the data already. All the texts, videos, reddit posts, tweets, etc. How can they get more data? Other than the natural daily creation of new data the biggest repository of UNUSED data is behind the corporate firewall. Whoever can unlock the data behind the firewall will create a model bigger than anything OpenAI can do. The key is this: corporate data does not want to be free (competition reasons or even legal reasons in the case of healthcare) So the method has is decentralized learning techniques where AI trains locally inside the firewall, and then shares its weights (but not the data that created those weights) to an AI model that stitches this together. This is where $TAO is the best in the world and at a $2.5B value is cheap. B) CONNECTIVITY = POWER. Everyone is complaining about power. But people don't realize that the power problem is really a connectivity problem. 100,000 GPUs in a data center means a million or more copper / electricity interconnects connecting them all. Change that from electricity to MicroLEDs and you wll use 1/30 of the power. Problem solved. Who is doing this? $MRVL $ALAB $FABC $KOPN

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  ^ (@Oct27_x) reported 1 hour ago

  @Ntr1166177 *Typo error ( Reddit rumours are true )