Gemini is such a great idea (or any web browser that’s basically as simple as reading markdown documents. Mainly what it needs, is a service to convert existing web pages to its markup, either on the fly, or an archive.is type service, so that ppl can have a safe web experience.
there’s no bank that can go under and you always own your money https://buybitcoinworldwide.com/bankruptcies/ The crypto industry has seen some large bankruptcies. We’ve made a list here and documented all the numbers. 850,000 BTC Chapter 15 Mt. Gox, a Tokyo-based cryptocurrency exchange operating from 2010-2014, handled over 70% of Bitcoin transactions. In 2014, after a major hack compromising between 650,000 to 850,000 Bitcoins, it declared bankruptcy. A lengthy legal battle concluded in 2021 with a rehabilitation plan for creditors. FTX $9 Billion USD Chapter 11 The bankrupt FTX crypto exchange recovered $7.3 billion in assets, a rise of $800 million since January. FTX is considering its future and a possible reboot after issues under ex-founder Sam Bankman-Fried, who faces fraud charges. Three Arrows Capital $3.5B Chapter 15 Liquidators for the bankrupt crypto hedge fund Three Arrows Capital claim its founders, Kyle Davies, and Su Zhu, are not cooperating with asset recovery. Davies argues that FTX and Alameda Research caused their downfall. Despite challenges, liquidators have recovered some assets, including $35 million and multiple cryptocurrency tokens. Three Arrows filed for bankruptcy following the collapse of cryptocurrencies Luna and TerraUSD in 2022. Genesis $3.4B Chapter 11 Genesis Global Capital, a crypto lending unit of venture capital firm Digital Currency Group (DCG), filed for U.S. bankruptcy while owing $3.4 billion. Genesis plans to sell assets to repay creditors. Its parent, Genesis Global Holdco, and Genesis Asia Pacific also filed for bankruptcy. The largest creditor, crypto exchange Gemini, claims $765.9 million. BlockFi $1.3B+ Chapter 11 BlockFi filed for Chapter 11 bankruptcy after FTX’s collapse. With liabilities and assets between $1-$10 billion, it owed FTX US $275 million. BlockFi previously faced liquidity issues due to Three Arrows Capital’s implosion and significant exposure to FTX. Core Scientific $1.4B Chapter 11 Core Scientific, post-bankruptcy, is expanding with 900 additional Bitcoin mining machines through LM Funding. By the end of April, LM’s total machines will reach 3,900. Despite the bankruptcy, Core continued operations and recently proposed a new president. Voyager Digital $1.3B Chapter 11 Bankrupt crypto lender Voyager Digital will return 35% of cryptocurrency deposits to customers after Binance.US’s failed buyout. U.S. Bankruptcy Judge approved Voyager’s $1.33 billion liquidation plan. Withdrawals may start by June 1. Future distributions depend on litigation outcomes. Celsius 1.2 billion USD Chapter 11 Bankrupt crypto lender, Celsius Network, has selected Fahrenheit’s proposal to manage a new entity owned by its creditors, leading Celsius out of bankruptcy. Fahrenheit will establish and operate the new company (NewCo). Celsius previously filed for Chapter 11 protection after industry growth during 2020. Cryptopia $16 million USD Chapter 15 Cryptopia, a New Zealand crypto exchange, announced the third phase of its reimbursement plan following a 2019 hack costing users over $15 million. Verified customers will soon receive their outstanding balances. Meanwhile, FTX faces bankruptcy challenges. Compute North $400 million USD Chapter 11 Compute North’s reorganization plan, settling $250 million in secured debt, was approved by a federal judge. The North American crypto mining company reached terms with 11 firms, including Marathon Digital Holdings, after filing for bankruptcy. Bittrex Global $500M - $1B Chapter 11 Bittrex filed for Chapter 11 bankruptcy a month after ceasing U.S. operations. This follows a $53 million fine by the U.S. Treasury and a lawsuit from the SEC. Despite struggles in the U.S., Bittrex’s international operations remain unaffected. Blockchain Global $15B Voluntary administration Blockchain Global (BGL), the parent company of the defunct Australian crypto exchange ACX, owes $15 million after collapsing. The Victoria Supreme Court froze 117.33 Bitcoin linked to BGL and ACX Tech. BGL later entered voluntary administration. Former director Sam Lee distanced himself from BGL’s operations. ACX’s sudden shutdown in 2020 left many investors out of pocket. Babel Finance $800M Restructuring Hong Kong-based Babel Finance plans to launch a decentralized stablecoin, Babel Recovery Coins, to repay creditors. The DeFi project features stablecoin HOPE and Light Token, backed initially by Bitcoin and Ethereum. Babel faced significant losses after the Terra ecosystem meltdown. Hodlnaut $267M Judicial management Singapore-based crypto lender Hodlnaut seeks potential buyers after creditors rejected a restructuring plan, pushing for liquidation. Hodlnaut owes $160 million, with most assets on bankrupt exchange FTX. Hodlnaut faced challenges, and reduced workforce amid investigations. Zipmex $53M Debt Relief Crypto exchange Zipmex seeks a two-month moratorium extension in Singapore due to an investor, V Ventures, missing a $1.25 million payment for a takeover. This delays customer withdrawals following Zipmex’s bankruptcy after Terra’s collapse.
I think your job in your current form is likely in danger. SOTA Foundation Models like GPT4 and Gemini Ultra can write code, execute, and debug with special chain of thought prompting techniques, and large acale process verification on synthetic data and RL search for correct outputs will make this 10x better. The silver lining to this is that I expect this to require an absolute shit ton of compute to constantly generate LLM output hundreds of times for each internal prompt over multiple prompts, requiring immense compute and possibly taking longer than an ordinary software engineer to run. I suspect early full stack developer LLMs will mainly be used to do a few very tedious coding tasks and SWEs will be cheaper for a fair length of time. I expect it will be 2-3 years before this happens, so for that short period I expect workers to be “super-productive” by using LLMs in the coding process, but I expect the crossover point when the LLM becomes better is quite soon, perhaps in the next 5 years as compute requirements go down.
Caddy (web server) Agate (gemini server) FreshRSS (rss reader) Yarr (rss reader) ergo (irc server) akkoma prosody (xmpp) conduit (matrix) nextcloud soju (irc bouncer) gamja (irc web interface) qbittorrent-nox unbound/dnsmasq isso (selfhosted comments server) smbd and nfs server pivpn wireguard minecraft stuff in seperate ubuntu vm: pterodactyl panel pterodactyl daemon probably something else I forget currently just running a monero miner as I have not been playing minecraft recently. Hardware: Main server Ryzen 7 3900XT with 64GB of ram, two 240GB ssds running in raid1, two 4tb hard drives running in raid1, running proxmox with mostly alpine linux VMs Secondary Server: Intel nuc running alpinelinux, only running secondary unbound/dnsmasq server so if my main server goes down, dns still works. Late 2013 iMac: I was using it to run an iMessage to matrix bridge but I was not able to get it to work so now I just vnc into it to text. (suggestions welcome as vnc is annoying) I also have another intel nuc that does not do anything. All of these servers are connected to an APC back-ups UPS.
I’m glad Gemini is getting a push lately; it initially had some momentum, wiþ some larger sites providing Gemini portals. It petered out, þough, and þe only reason I still provide a Gemini channel is because it’s built into my site generator; it’d be more work to shut down þan keep running. I don’t boþer opening Gemini to browse anymore. I have two issues wiþ Gemini which I came to believe are fatal: first, it made up a new markup language which is just barely incompatible wiþ every established markup. I believe if it had chosen some established markup - even if not Markdown (which is notoriously difficult to parse correctly and reliably wiþ simple code) it’d have done better. Also, þe markup is too aggressively constrained. It þrew out þe baby wiþ þe baþwater. Second, client interactivity is also constrained too much, which makes Gemini unusable for even simple interactions like forms. You get a single input field. Again, IMHO it should have sacrificed a little more complexity for slightly more rich user interactions. It’s my opinion þat Gemini overshot þe mark in trying to revive Gopher. Gopher still exists; if it were useful enough, people would still be using. Rebranding it as Gemini wasn’t going to revive it. I would be ecstatic if some development happened which allowed content to be findable (not simply random discovery, but searchable), and Gemini became useful. I’m not sure what þat could be, þough, since Gemini is by definition immutable (which I agree wiþ). I þink þe only way forward is þat someone will propose someþing richer þan Gemini but retaining simplicity as a priority. Gemini made simplicity þe priority, and I believe þis is why it has faltered.
There’s a reason why modern browsers have multiple processes. Each tab and extension is sandboxed for stability and security reasons. There are also memory mechanisms that free up memory when other non-browser processes need it, but I am not an operating system expert/engineer so I am unable to explain it in details. ~~Google~~ Gemini it up. Also Firefox tends to use similar amount of RAM as Chrome, and it’s silly that it’s only Chrome is being making fun of for that. Of course it doesn’t meant that modern web is fucking shit, but you cannot only blame modern browsers for that. It’s just mostly bloated JavaScript bullshit. By the way, I wish there was some alternative to modern Web which works like basic HTML + CSS, maybe even without using two languages for two different things (website content and stylesheet). If we had this, we could even have lightweight Markdown/WikiText/You_name_it viewer if exported to that format on the fly (by an app not JS).
There is no way to fully 100% avoid them, although is ways to get them down to the lowest potential of resource slags. Aka new model has prebaked focuses that drop the resource load randomly by simply 1. The unavoidable slagging that occurs every so many gens and likely more often during high traffic hours, The hypothetical work around for these meaning they are possibly avoidable, but not on this gen, If you created A multiple generative run on image handles and hand offs, then is multiple ways to handle that specific issue, and slagging itself would become less an element is missing issue, and more a quality or stabilized blending spikes and dips, any of allat though requires the most difficult JS coding procedures for image gen. 2. make sure you define a pos and pov in a form that denotes framing ect, also more dynamic scenes, or also added that defining forground and background helps number it down. 3. If you have difficulty with the former It’s likely because you have over loaded casual Prompting non technical limitations, you can try leveraging a formula block to help with this, Lastly that and or studying technical Prompting formalisms the prior techniques of Latent‐Space and algorithmic system blocks “formula” is collectively called technical Prompting formulism, and coniquely the two represent 2 halfs of a whole that is all of prompting ideologies and share a center pie of concepts that affects both which is called technical prompts and formatting. Tip: to learn the ladder’s leveraging an LLM like Gemini can make breaking down the bulk of information and things related too overall formatting. A preamble convo shared convo or any pre-preparation of LM stating of the LLM as a side note: offers you a more focused less hallucinated hit and miss approach to technical prompting, you can pick up perchance OFC T2i JSON/&Dev notes with onboard pre-preparations of gemini convo. latest OFC sheets rev.4 !. " just go to /add, and then visit chat room #1+u:info1 " Check out this chat room if on main public image gen https://perchance.org/ai-text-to-image-generator ^Link to main public image gen. Link to Lemmy World post where Dev notes are kept along with varies links to other T2i related posting and resources! https://lemmy.world/post/43127973
“how does someone who isn’t proficient in bash tell whether the bash script that AI has generated is a good one or a bad one?” What I find most bash scripts to be lacking is consideration of error cases, edge cases, faulty inputs, etc. It’s pretty trivial to make a script to copy some files from here to there, but what if the source files are missing, what if the destination has write permission errors, what if the destination already has files with the same names? My latest Gemini script writing conversation started with “do this in a bash script” and it gave me a nice short script that did that. Then it asked about the edge cases, one by one, and if/how I wanted to handle them. 4/5 of its observations were relevant to the task and I told it to proceed with code to handle those (error out / show help / prompt for additional input / …), which it added with informative comments about what it was intending to do, and the other cases didn’t make sense for the larger picture (which I hadn’t explained to it, so no real fault there…) Yeah, it’s still bash glop, and that “shopt -s nullglob” is one of those things that I have to look up when I see it to be sure it does what I think it does, but if you have any reasonable understanding of bash scripts, this is one of the more readable bash scripts I have encountered. As a professional charged with creating the script - it’s your job to be sure it’s right, not the AI’s job, not any more than it was your text editor’s responsibility to get it right in the past - even with code completion tools. The AI is a tool that helps put something together for you efficiently, code-completion gone wild, but it’s no more responsible for that code than a chainsaw is responsible for where a tree falls. And when it all goes to shit, who will fix it if we have allowed human proficiency to wither away and die? 8 billion of us are so far down that rabbit hole in so many areas, we’d better make sure it doesn’t all go to shit because if/when it does we’ll be lucky to have 800,000 humans surviving even 50 years after the SHTF.
You seem to assume that intelligent humans are only capable of posting stuff on Xitter and Facebook. Writing text in Gemini format is simpler than Markdown, which is what people are using here. Reading Gemini context only requires a client, for example an Android app like Rosy Crow, or using a Web gateway, like https://gemini.tildeverse.org/ , or https://portal.mozz.us/gemini/mozz.us/ . Publishing a Gemini blog requires at the minimum only to get an account at a pubnix server (such as the tildeverse servers above). If one wants to self-host it, one needs only to set up a Rasberry Pi running the server program. The complexity is about the same as running a file sharing client. Yet some people want to frame it as if the only way to participate in the Internet is to use Facebook and Twitter.
I asked gemini to find it… Apparently it was in 2 simultaneous interview-publications, by different sites… don’t know why I’ve got memory of it being video, instead of text, but here’s the answer I got: While Gabe Newell definitely made those blunt remarks, you are actually remembering a text-based print interview rather than a video clip. In late February 2022, during the media press tour for the launch of the Steam Deck, Gabe Newell did a series of one-on-one interviews where he addressed Valve’s ban on NFTs and why they stopped accepting Bitcoin back in 2017. The specific quote you are thinking of comes from two parallel interviews published on the same day: 1. The Interview with PC Gamer When discussing the nightmare of accepting Bitcoin on Steam, Newell focused heavily on the sheer volume of bad actors: “The problem is that a lot of the actors who are in that space are not people you want interacting with your customers. We had problems when we started accepting cryptocurrencies as a payment option. 50 per cent of those transactions were fraudulent, which is a mind-boggling number. These were customers we didn’t want to have.” 2. The Interview with Rock Paper Shotgun In a companion interview published simultaneously, he used almost the exact phrasing from your memory when talking about the NFT and blockchain crowd: “The people in the space, though, tend to be involved in a lot of criminal activity and a lot of sketchy behaviours… With the actors that are currently in this NFT space, they’re just not people you really are wanting to be doing business with.” Why is there no video? Because these outlets sat down with Gabe in private press rooms to gather quotes for written feature articles, no official video or audio of these specific exchanges was broadcast. If you remember seeing or hearing it, you likely watched a video from a gaming news channel (like YongYea, Inside Gaming, or IGN) or a TikTok/YouTube Short where a narrator read Gabe’s text quotes out loud over gameplay footage or B-roll of Newell. He didn’t hold back, but he did it via the power of the written word! So, now you’ve got both explicit-quotes, AND 2 independent sources-for-that-interview. I hope that’s good-enough. I’m not digging into it any more. _ /\ _