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@1bajt

1 Bajt

- Katılım Ağustos 2021
99 Takip Edilen12 Takipçiler
Bajt
Bajt@1bajt·
@Volsureface @vitrupo The continual learning will be a problem though right? Eventually model will be to choose what information to (re)train itself on.
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Volsurface
Volsurface@Volsureface·
@vitrupo people revise values too, but the process is messier training doesn't pause for introspection
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vitrupo
vitrupo@vitrupo·
Amanda Askell says a sufficiently capable model may question the values we trained into it. People do this all the time. We revise what we value when it no longer makes sense. The question is whether corrigibility, the model letting humans correct it, survives the same kind of scrutiny.
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Patrick OShaughnessy
Patrick OShaughnessy@patrick_oshag·
This is a great profile of @dwarkesh_sp He is excellent at what he does. One of the few podcasts I listen to virtually every episode, knowing it’ll be deep, unique, and impeccably well researched. Good person, doing great work. Have a read: nytimes.com/2026/04/26/bus…
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Bajt
Bajt@1bajt·
@Sams_Antics @patrick_oshag Ok maybe, I don't follow them. I'm interesting in the topic of AI. You have no other person who interviews AI CEOs well, cause it's a hard-science topic; it's hard to get prepared well. The only other person asking all these people anyway is Lex Friedman but his qs are repetitive
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Sam McRoberts
Sam McRoberts@Sams_Antics·
@1bajt @patrick_oshag Tim Ferriss, Rob Reid, Demetri Kofinas, Steve Hsu, Jim Rutt…plenty of folks who prepare absurdly well.
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Bajt
Bajt@1bajt·
@Sams_Antics @patrick_oshag Idk, I can't think of another person who makes such extensive research before each interview. No generic fluff, very often new takes on things. Ofc he may be wrong at times, but he lets guests correct him eventually. Confrontational style, which I enjoy.
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Sam McRoberts
Sam McRoberts@Sams_Antics·
@1bajt @patrick_oshag Asking hard questions is great, but only one aspect of what makes a great interviewer. Dwarkesh is confidently wrong about too many things, talks far too much, and tries to sound smart rather than just bringing out the best in his guests. He does get interesting guests though.
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Bajt
Bajt@1bajt·
@Sams_Antics @patrick_oshag He's on a completely different, higher level that the rest. The only dude there who dares asking uncomfortable questions to his high-profile guests.
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Sam McRoberts
Sam McRoberts@Sams_Antics·
@patrick_oshag Really? Fascinating…I can’t stand his podcast, I don’t think he’s a very good interviewer at all.
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很好吃
很好吃@ned714·
@1bajt @emollick Our conversation is already outdated. Things change fast. You're away from X for too long. You're falling behind, bro.
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Ethan Mollick
Ethan Mollick@emollick·
So we now have a pretty good picture of the state of the frontier AI model makers. US closed source models continue to lead. Google, OpenAI, and Anthropic stand well ahead of the pack, and may have signs of recursive self-improvement. xAI has fallen from frontier status for now (though promises to return shortly). Meta re-entered the space today with a not-quite-frontier closed source model, but an approach that suggests that they might be back in the race. All the other US players seem far behind. On the Chinese model front, Alibaba (Qwen), Moonshot (Kimi), MiniMax, Xiaomi (MiMo), Deepseek, and Z (GLM) all still appear to be very much in the race, though the best Chinese models are still 7-9+ months behind released US closed source models. For some of these players, especially Xiaomi and Alibaba, their commitment to open weights appear to be slipping. Outside of China, Mistral seems to have fallen from frontier status.
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Bajt
Bajt@1bajt·
@ned714 @emollick Haha ok whatever. I think he refers simply to agency benchmarks like swe-verified. There the Chinese models are a few months late, but prolly less than 7m.
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很好吃
很好吃@ned714·
My mission is not on the same path at all, so there's no such thing as a so-called gap. Moreover, in Western social circles, there is fear of the rise of Chinese models. Because their established personas are at risk of collapsing. It's merely a matter of controlling the narrative, that's all.
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Bajt
Bajt@1bajt·
@AdamB1438 @patrickc Wow deep. Ur so deep wow. What about answering his question with propositions of books that are not about violence?
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Adam Block
Adam Block@AdamB1438·
@patrickc What if I instead of refusing to take their words at face value, you believed that these novelists are just actually trying to tell you something?
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Patrick Collison
Patrick Collison@patrickc·
Which are the most humane (empathetic, compassionate) Arab / Middle Eastern novels? Thought behind the question: I read a bunch of these novels last year -- my selection algorithm was to sample widely among the award-winning works from the region (Egypt, Sudan, Iran, Palestine, Jordan, among others) -- and, overall, I was very struck by the darkness and violence. (Abundant rape, murder, violence, and so forth.) In trying to figure out why the outlooks are so consistently bleak, I don’t think it’s only a matter of colonialism. For example, The Blind Owl is often ranked as the best novel to come out of Iran, which was never colonized as such, but nonetheless describes an obsessive madman who kills and dismembers his partner. In Season of Migration to the North, the colonizer -- Britain -- is described as being quite benevolent at least at the object level (granting a scholarship to the protagonist; treating him unreasonably justly during his murder trial). Men in the Sun is similarly grim while taking place in a post-colonial Arab world. Even books that are sometimes described as heartwarming (such as Mahfouz’s Cairo Trilogy) centrally feature rape and female oppression (that Amina is not permitted to leave the home is a core plot issue). One guess is that it is a function of award selection algorithms: gritty despair is seen as high-status and structurally celebrated. Another theory would be the period: there are lots of humane novels in the Western canon (Dickens, Tolstoy, Eliot…), but those are more likely to be from the nineteenth century, whereas the Arab / Middle Eastern novelistic canon didn’t emerge until the twentieth. I’m not sure this explains it, however. In Search of Lost Time, Great Gatsby, Ulysses, Midnight's Children are all critically-acclaimed 20th century novels, close to the top of almost any list, that one would not describe as macabre. It’s possible that I just read the wrong books and got unlucky. So: which authors from the region can best be compared to Faulkner, Eliot, Fitzgerald, or Rushdie? (And if they haven't won major awards, does that indicate that the awards have a negative bias?)
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Bajt
Bajt@1bajt·
@AISecurityInst I'll ask my question here too. Aren't though the two most recent (thus most capable here) Claude 4.5 models exhibiting the strategy correlation? Which could imply an emergence of such behaviour.
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AI Security Institute
AI Security Institute@AISecurityInst·
We know AI systems occasionally act against their operators’ intentions – but what in their environment causes them to do so? In a new paper, we make progress on this question 🧵
AI Security Institute tweet media
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Bajt
Bajt@1bajt·
@AISecurityInst Interesting research! Aren't though the two most recent (thus most capable here) Claude 4.5 models exhibiting the strategy correlation? Which could imply emergence of such behaviour...
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AI Security Institute
AI Security Institute@AISecurityInst·
Our results show a mixed picture. Strategic and non-strategic factors affected rates of misbehaviour about equally, with variation between models.
AI Security Institute tweet media
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Jeffrey Emanuel
Jeffrey Emanuel@doodlestein·
@1bajt No, it’s all very country-specific stuff. If there’s enough interest I can try to make skills for other major countries, but it quickly gets fragmented and niche.
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Jeffrey Emanuel
Jeffrey Emanuel@doodlestein·
In case you missed this… if you have kids and you’re over age 30 and don’t have a will written yet, write a will! This skill automates the entire process for you (with your participation) and gives truly world-class advice similar to what you’d get from a White-shoe law firm.
Jeffrey Emanuel@doodlestein

I recently posted about my elaborate tax preparation and consulting skill on my skills site, jeffreys-skills.md, and was pleased by the amount of interest it generated. I've also heard from at least 5 different people who all saved at least $1,000 on their taxes using the skill, with one saving $20k! Not bad for a $20/month subscription. Most of the skills on my site are for software development and help with things like debugging, optimization, security, etc., although some are a lot more general and can apply in various other contexts, such as my idea wizard skill or my recent "modes of reasoning" skill. But the response to the tax skill got me thinking about what other non-tech skills I could develop that would be extremely useful to people. Someone in the replies suggested a skill for making a will, which I thought was a great idea. I kind of went nuts with that and have now finished and published my latest skill, called /wills-and-estate-planning-skill. This is truly a monster skill spanning 200 files, ~24k lines of text, and weighs in at nearly a megabyte. Just as my tax skill wasn't just about preparing your current tax return, but was really a much more expansive tax consultation to help you organize and plan your affairs better to minimize your tax burden, this new wills and estate planning skill goes way beyond simply helping you to write your will. It asks you tons of questions and can take a big pile of documents (tax returns, financial statements, previous wills, etc) to better understand your situation and needs. It is designed to work for everyone, from middle-class office workers who want to provide for their families and cover their funeral expenses, to wealthy industrialists who want to set up generation-skipping trusts, GRATs, etc. and have extremely complex financial affairs (and family structures) that need to be wound down in an orderly way that minimizes estate taxes and leakage. But it goes so far beyond just the financial aspects. How do you prevent your heirs from fighting over the inheritance? What do you do if one of your kids has a serious drug problem or mental health issues and you're worried that a sudden financial windfall could mess up their life and destabilize them? What if you have a beloved parrot as a pet that has another 20 years of life remaining and want to make sure it doesn't end up at the taxidermist a week after your funeral? Wills and estate planning are super complex because life is endlessly complex. It's hard to cover all of that in a single coherent system or set of workflows, but I believe I have done a very good job of that with this new skill. White-shoe law firms like Sullivan & Cromwell charge wealthy people insane amounts of money for these sorts of consultations. Now you can get the same kind of high-powered expertise for $20 from the comfort of your own home, and let Claude Code or OpenAI's Codex do the leg work for you! Don't just take my word for it though; here is what GPT 5.4 has to say about what makes this new skill so special, useful, and compelling: --- This skill is not a normal “answer a question” skill. It is a full estate-planning workspace system. I counted 201 files and about 23.6k total lines: 1 core SKILL.md, 17 subagent prompt specs, 45 output templates, 135 reference docs, and 2 real scripts. The core thesis is that estate planning is coordination across will, beneficiary forms, titling, incapacity docs, digital access, and family communication, not “write a will.” The knowledge base itself is partitioned along orthogonal axes rather than being a flat encyclopedia. references/foundations/ handles the recurring baseline issues like beneficiary control, core documents, domicile, federal transfer tax, probate/intestacy, and state estate tax. references/tiers/ routes by wealth/complexity from Tier 1 to Tier 5. references/states/ handles jurisdiction-specific posture and references/execution-formalities/ handles signing mechanics. Then there are overlay clusters for family structure, assets, advanced planning, incapacity, legacy/logistics, professions, life events, situations, and post-death administration. That partitioning is one of the skill’s biggest strengths: it is designed so a Tier-1 Texas young family loads a radically smaller slice than a New York founder with a blended family, business interests, crypto, and cross-border issues. The execution plane is split cleanly. The subagents/ directory is not code; it is a library of role prompts. They divide the workflow into intake, overlay resolution, document organization, asset discovery, beneficiary audit, tax analysis, state-law verification, fiduciary scoring, anti-pattern scanning, implementation ops, conflict prevention, litigation defense, multi-model validation, and final deliverable generation. What’s special about it is that it does not treat estate planning as “write a will and call it done.” It treats it as a coordination problem across legal documents, beneficiary designations, asset titling, incapacity planning, taxes, family dynamics, logistics, and post-death operations. That is much closer to how estate plans actually succeed or fail in real life. The most compelling thing is the worldview embedded in it. It assumes the biggest disasters usually come from mismatches and omissions, not from lack of fancy legal vocabulary. The classic failures are things like the wrong beneficiary still being on an account, a trust that was never funded, a plan that ignores incapacity, a blended-family structure that works on paper but blows up later, or a “good” plan that no one can actually execute under stress. This skill is built around catching those failure modes early. A second strong point is that it is not a one-size-fits-all script. It routes differently depending on what kind of problem you actually have. A person building a first plan, someone auditing stale documents, someone reacting to a marriage or divorce, someone trying to do urgent bedside signing, and someone activating an executor workflow do not need the same process. Most generic estate-planning content collapses all of that into one checklist. This one does not. A third thing that makes it unusually good is that it separates stable reasoning from unstable law. That is exactly the right design for this domain. The enduring principles are things like “beneficiary designations often control,” “incapacity matters as much as death,” and “documents must tell one coherent story.” But current thresholds, state execution rules, portability details, inheritance tax quirks, electronic-will rules, and similar items are treated as volatile and meant to be verified from official sources before being relied on. That makes it much more serious than a generic knowledge dump. It is also unusually strong on evidence quality. It does not assume memory is good enough. It wants to know what is proven by signed documents, what is inferred, what is weak, what is missing, and what recommendations are therefore high-confidence versus provisional. That matters a lot in estate planning, because people are often confidently wrong about what their documents or account forms actually say. Another impressive feature is that it handles the human side, not just the legal side. It thinks about conflict prevention, litigation risk, surprise, unequal treatment, vulnerable beneficiaries, caregiver dynamics, family communication, and fiduciary selection. That is a major differentiator. A technically correct estate plan can still be a bad plan if it predictably causes family war or collapses under the wrong executor or trustee. It is also operationally mature. It cares about what happens after the plan design is chosen: signing logistics, institution-by-institution cleanup, proof that assets were actually retitled, business continuity, emergency packets, digital access, executor timelines, and attorney handoff. In other words, it understands that the plan is only real if it can be implemented and later administered. The final reason it is compelling is that it is built as a living system, not a one-off answer. It creates continuity across sessions, across life events, and across future reviews. That is much closer to how estate planning should work. A good plan is not a document you produce once. It is a maintained operating picture of a person’s family, assets, intentions, risks, and next actions. So in plain terms: the skill is impressive because it encodes real estate-planning judgment rather than just estate-planning information. It helps prevent the kinds of expensive, painful, and embarrassingly common failures that happen when people think the hard part is drafting language, when the hard part is actually coherence, verification, implementation, and human reality.

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Bajt
Bajt@1bajt·
@hive_echo 4.7 Esp frontend stuff. Its a beast
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echo.hive
echo.hive@hive_echo·
Which is the best for coding?
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Siavosh Zarrasvand
Siavosh Zarrasvand@siiiaaaaaaa·
@doodlestein Currently $NVDA is the most undervalued Mag-7 stock. This article is how we got introduced, as I wrote a similar piece and shorted. But I’ve reversed course since then.
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Gobe
Gobe@StrateGeee·
@EgoDriv Think of it like this: If you did not create more value than you’re paid, you wouldn’t be hired. Just figure out how to generate that value for yourself, rather than for others. A step in this direction is to work with people rather than for people.
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E-go
E-go@EgoDriv·
If you’re a hyperactive, high agency type of guy, the only path where you don’t go insane is entrepreneurship. It’s the only life that will stimulate you enough and put you in different situations and problems that actually make your brain function. The more you try to tame that energy the less you will feel alive. Some of us were made for complexity and ambiguity. The safe path is the most dangerous one. You know deep down you’re made for something different. Business is what gives you that. Avoid traditional jobs at all costs. Of course the price is high stress, uncertainty and lots of ups and downs… but let’s be honest, would you have it any other way? No. It’s too boring.
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Bajt
Bajt@1bajt·
@floidberg @robinhanson @CAMELCASTOff Sure. The question is not why people cheat. The question is why the protagonists do it in "romantic" films. Why do ppl enjoy watching it, why do they consider these films romantic and so on.
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Floidberg
Floidberg@floidberg·
@1bajt @robinhanson @CAMELCASTOff part of the appeal for cheating writ large is an asymmetric payoff for an unpunished defection from a game it's why people copy homework, shoplift, or step out on their relationship the primal urge is to punish. one long term solution is something like reverence for the game
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