Gombally

331 posts

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Gombally

Gombally

@Gombally_

Katılım Ekim 2010
21 Takip Edilen0 Takipçiler
Mo
Mo@atmoio·
I’ve been trying to find good analogies for this. The argument seems to be: “AI is intelligent because it does intelligent-like things, therefore it is cope to say it’s not intelligent.” Some analogies: - “The moon is really bright. Therefore it is capable of luminance.” Here of course we expose a manner of speaking. The moon reflects the sun’s light. The models reflect our own intelligence. The moon will never be a star. - “A snail on the bed of a tow truck is really fast. Look, it’s moving from A to B at 60mph, it’s clearly fast.” But of course the snail is borrowing the truck’s velocity. Notice how there is no controversy in calling the technology large language models because the term is perfectly apt: a map of language. This points to language as constructed by humans as the true source of magic, and LLMs being algorithms that can traverse this map at light speeds. Before you think I’m being pedantic, understand that the nature of the words we use is precisely what’s at stake. That the moon *looks* bright is incontrovertible. Insisting however that the moon itself has any concept of inherent luminance is when you start to gaslight people into deranged realities that they will not stand for. Attempting to appropriate ageless conceptions like consciousness and intelligence to corporate technology by playing axiomatic word games is insanity. Large language models do what they do and this is non-controversial. Personifying it with human-like attributes however is totally uncalled for, when it is easy enough for us to define new words that better capture the phenomenon. I’ve been thinking long and hard about this and I think a good phrase for these technologies can be—hear me out: “large language models”
nic carter@nic_carter

The “it’s not AGI because machine intelligence is jagged” is dumb cope. It’s obviously AGI. If you had a friend who had a 130 IQ, could write production code flawlessly, could write academic papers of a high research caliber, pass any exam in any field with flying colors, create a sophisticate LBO model, draw technical diagrams perfectly, compose poetry in any language, and could find solutions to significant unsolved mathematical problems, you would call that person a world historical genius. Certainly, no single human has ever had intelligence that “general” before. Now you think it’s “not AGI” because it sometimes slips up and makes mistakes - so does any human that you would consider “extraordinarily intelligent.” The professor might forget a colleagues name that he has known for a decade. He is still considered intelligent. The math genius might be a little autistic and shy, unable to maintain polite conversation. Still intelligent. You might stare at the fridge for 30 seconds unable to find the butter, despite 5 million years of evolution perfecting your visual intelligence. We give intelligent humans a pass when they have jagged intelligence. So why the double standard? The qualities people list as “necessary for AGI” are important traits to have, but no longer pertain to intelligence. People will say things like “true AGI requires agency, long term goal setting, embodiment, self-direct action”. But none of those things are intelligence. Those are “things that humans have that AI lacks”. Raw intelligence, AI has it in spades. That other stuff - important yet, but broader than and different from intelligence. The unwillingness of people to acknowledge that AGI obviously exists and has existed for a while is due to a kind of anthropic chauvinism - a psychological need to believe that humans are superior in every respect, that we possess soft skills that no machine could replicate. Yes humans are different from machines, but if we are limiting the discussion solely to general intelligence, AI has it already. That battle is over. If you want to reframe the discussion to matters of human dignity and personhood, fine, but that’s not an AGI question. That’s something else. Just take the loss on AGI already. It’s over.

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Gombally
Gombally@Gombally_·
@realAAAbbott @jimstewartson LLM's are trained on outcome data, it's by definition always the result of what machines or humans stored as data. The 'how" will never be figured out by AI by definition, because every how is different even when results are the same, I think this will go over many peoples heads.
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Jim Stewartson, Decelerationist 🇨🇦🇺🇦🇺🇸
I want to emphasize something Mo said which I think is helpful. LLMs are like a *new species* that’s been discovered; it’s not going to suddenly turn into something else—which is the only way the current chatbot mania makes sense. LLMs are a great tool for exploring massive amounts of data by compressing their relationships into weights through training, and allowing queries through natural language. But they can only ever take from what they’re given. There may be nuggets within the existing human information space, like the solution to the Erdos problem, that it will find through brute force or logical exploration. That’s worth continuing to try. But that’s more like mining for Bitcoin than overseeing something intelligent. These things can be very useful, but they’re just a software feature. They will never be replace people.
Mo@atmoio

Marc Andreessen accidentally told the truth about AI

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EM
EM@edwin_mccallum·
@jimstewartson that assumes that the architecture stays the same, but architecture can evolve and models can start learning more the way humans do instead of only their current training runs where they don't learn over time like humans do
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Gombally
Gombally@Gombally_·
@scaling01 Yeah the very bench that Anthropic(!!!!) is rolling out. Dude...
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Gombally
Gombally@Gombally_·
@nic_carter I can't take a guy serious who needs this many words talking about intelligence. memory !== intelligence, period, it's a factor, but no systems or humans in history with only the capability of exceptional memory have ever invented or solved something in a new way.
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nic carter
nic carter@nic_carter·
The “it’s not AGI because machine intelligence is jagged” is dumb cope. It’s obviously AGI. If you had a friend who had a 130 IQ, could write production code flawlessly, could write academic papers of a high research caliber, pass any exam in any field with flying colors, create a sophisticate LBO model, draw technical diagrams perfectly, compose poetry in any language, and could find solutions to significant unsolved mathematical problems, you would call that person a world historical genius. Certainly, no single human has ever had intelligence that “general” before. Now you think it’s “not AGI” because it sometimes slips up and makes mistakes - so does any human that you would consider “extraordinarily intelligent.” The professor might forget a colleagues name that he has known for a decade. He is still considered intelligent. The math genius might be a little autistic and shy, unable to maintain polite conversation. Still intelligent. You might stare at the fridge for 30 seconds unable to find the butter, despite 5 million years of evolution perfecting your visual intelligence. We give intelligent humans a pass when they have jagged intelligence. So why the double standard? The qualities people list as “necessary for AGI” are important traits to have, but no longer pertain to intelligence. People will say things like “true AGI requires agency, long term goal setting, embodiment, self-direct action”. But none of those things are intelligence. Those are “things that humans have that AI lacks”. Raw intelligence, AI has it in spades. That other stuff - important yet, but broader than and different from intelligence. The unwillingness of people to acknowledge that AGI obviously exists and has existed for a while is due to a kind of anthropic chauvinism - a psychological need to believe that humans are superior in every respect, that we possess soft skills that no machine could replicate. Yes humans are different from machines, but if we are limiting the discussion solely to general intelligence, AI has it already. That battle is over. If you want to reframe the discussion to matters of human dignity and personhood, fine, but that’s not an AGI question. That’s something else. Just take the loss on AGI already. It’s over.
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Gombally
Gombally@Gombally_·
@bunjavascript Like who gives a shit even, what is this performative bullshit, who thinks, oh wow now I need Bun guys.
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Gombally
Gombally@Gombally_·
@CFrankencio @JeffBohren Kinda smart tbh, just have a huge DB with vuln. make a model out of it, run it, collect their IP and yoink that for the next model.
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Carlos SNa
Carlos SNa@CFrankencio·
@JeffBohren Don't you all see why there was a project glasswing? To syphon big companies from their codebases.
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Jeff Bohren
Jeff Bohren@JeffBohren·
It is taken as given that AI coding will continue to improve. Right now AI generated code has a lot of quality and performance issues. But surely in two years it will exceed the capabilities of senior developers. But will it? LLM AI's will never exceed the "intelligence" of the training data + RL. Where is the training data for the future going to come from? It won't be @StackOverflow, that is dying. If it is @github, half of that (or more) will be AI generated code. LLMs can't improve by training on the output of other LLMs. There is the possibility that Agentic Coding based on LLMs may not improve significantly from here.
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Gombally@Gombally_·
@ClaudeCodeLog Deterministic my ass, this is so misleading, but hé AI bro's will eat it up.
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Claude Code Changelog
Claude Code Changelog@ClaudeCodeLog·
Claude Code 2.1.147 has been released. 35 CLI changes Highlights: • Workflow tool added for deterministic multi-agent orchestration; off by default, set CLAUDE_CODE_WORKFLOWS=1 • /simplify→/code-review renamed; flags correctness bugs at effort level, can post inline GitHub PR comments • REPL and Workflow sandboxes hardened against prototype-pollution and thenable escapes, cutting escape risk Complete details in thread ↓
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波特
波特@xiangqiling5204·
@ClaudeCodeLog If this lands the way it sounds, deterministic workflow primitives could make multi-agent coding much easier to review and reproduce. Watching this one closely.
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Gombally
Gombally@Gombally_·
@feross @hasante_ Still kinda bad that this is targeted as an upsell. Why not give the dev community, the full capability like whitelisting, private registry support etc.
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Feross
Feross@feross·
TeamPCP just did an interview where they were asked what defenders should do to stop supply chain attacks. Their advice: pin versions to a specific hash, use least-privilege tokens, restrict IDE extensions. And then, verbatim: "The company Socket will detect the malware before the package even reaches your machine." So... thanks, I think? We're not putting this on the testimonials page. But at the same time, if you're not yet using @SocketSecurity to protect your supply chain, what are you waiting for?
Feross tweet media
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Gombally
Gombally@Gombally_·
@sickdotdev I think that is actually a good thing. Instead of having one Agent doing all with one huge LLM (lazy way), now you need to think about all the specifics, hence welcome back engineers.. API security agent, API spec agent, API monitor agent and so on, more specific tasks.
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Sick
Sick@sickdotdev·
My company’s claude account got exhausted. Now my legendary manager is asking if we can build our own LLM like Claude to reduce costs😭
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Gombally
Gombally@Gombally_·
@antoons22 Its bad for sure, but in black it's getting a little more acceptable
Gombally tweet media
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𝔸𝕟𝕥𝕠𝕠𝕟𝕤
L’automobile en 2026… 😌 Je pense sincèrement qu’il y a un challenge interne afin de créer la bagnole la plus moche de l’année.😏 Nous ne sommes même pas à la moitié de l’année et les constructeurs nous ont déjà proposé ces beautés 🤮
𝔸𝕟𝕥𝕠𝕠𝕟𝕤 tweet media𝔸𝕟𝕥𝕠𝕠𝕟𝕤 tweet media𝔸𝕟𝕥𝕠𝕠𝕟𝕤 tweet media𝔸𝕟𝕥𝕠𝕠𝕟𝕤 tweet media
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Gombally
Gombally@Gombally_·
@GoogleWorkspace I think there are two things at play, one is engagement farming. Two, whoever designed this, is just legit not talented, they work from a framework which they can't get out of since they lack true creativity.
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Google Workspace
Google Workspace@GoogleWorkspace·
Out with the old, in with the bold ✨ We gave the Google Workspace icons a sleeker look to meet this new era of helpfulness. Check them out! goo.gle/4diuCsz
Google Workspace tweet media
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Allie K. Miller
Allie K. Miller@alliekmiller·
One of the loudest applauses in the entire Google keynote: Nishtha put on the new Gentle Monster + Gemini glasses, tapped the side to summon Gemini, and ALL in one prompt said “take a photo and put a cartoon blimp in the sky that says Google IO 2026” and within seconds, the preview of the edited photo from nano banana appeared on her watch. I want to spend less time on screens. AI really is coming everywhere. And so much is driven by voice AI as the interaction mode. #Google
Allie K. Miller tweet media
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Gombally
Gombally@Gombally_·
@AnthropicAI I think slowly people are starting to see what kind of fluff you are putting out, a bunch of nonsense written by AI (LLM), which is clearly intended to mask the fact that you don't give a fuck about people, all you do is intended to gain profit.
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Anthropic
Anthropic@AnthropicAI·
Over the past few months, we've been holding dialogues with scholars, philosophers, clergy, and ethicists on the questions AI raises—starting with how good character forms. Read more about how we’re widening the conversation on frontier AI: anthropic.com/news/widening-…
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Gombally
Gombally@Gombally_·
@JackWoth98 Why are you all doing the same thing, surely AI can figure out something more creative than a copy of yet another CLI tool. Or maybe it's not that intelligent at all...
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Jack Wotherspoon
Jack Wotherspoon@JackWoth98·
Say hello to Antigravity CLI 🚀💻 🧑‍💻 - Written in Go for a snappy feel ✨ - Available with Gemini 3.5 Flash today 🤖 - Built for async workflows and subagents ⚒️ - Same tools and app server as Antigravity 2.0 Get started and install it today 👇
Jack Wotherspoon tweet media
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Dexerto
Dexerto@Dexerto·
A software developer hid an AI prompt in their LinkedIn profile that forced some recruiters to send messages in Old English “My Lord Artur”
Dexerto tweet mediaDexerto tweet media
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Tom Mann
Tom Mann@TomasMann1878·
@claudeai Claude finally gets it - agents need to run where your data lives, not where it's convenient for them. Same approach we take at @clawdbench
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Claude
Claude@claudeai·
Live from Code with Claude London: we're launching self-hosted sandboxes (public beta) and MCP tunnels (research preview) in Claude Managed Agents. Run agents inside your own perimeter, with your security controls applied by default.
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Gombally
Gombally@Gombally_·
@CaptainAppJack @thomasahle Yeah tell that to AI bro's and business who all start to believe they know what "agentic" means and want to replace every IT or process component with AI.
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Jack Lippold
Jack Lippold@CaptainAppJack·
@Gombally_ @thomasahle If you want something to do the same thing every time. Write code. Vibes are just that. Vibes, hopefully sorta generally in the right sort of direction so far in as you can tell given the current loose awareness you have on the specific way in which it’s breaking down the problem
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Thomas Ahle
Thomas Ahle@thomasahle·
Claude seems to dislike it's new /goal mode
Thomas Ahle tweet media
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