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Have you tried using generative #AI for #coding ?
AI meaning #LLM here, like GH-Copilot, ChatGPT, Claude, Ollama and so on.
- No not yet or no interest (40%, 12 votes)
- Yes, but its still useless (16%, 5 votes)
- I use it, but it decreases my skill & productivity (10%, 3 votes)
- I use it and it boosts my skill & productivity (33%, 10 votes)
A much more detailed post about TalkBack's new Image description feature using #AI #Gemini
The Council of Europe has made a #treaty on #AI (Treaty number 225), open to other signatories, and has been joined by the US and other countries. I've taken a quick look, and while it's mostly fluff (AI shall be used for good and not evil type stuff) there are a couple of useful bits.
There's a risk framework that states have to set up, to consider the graduated risks of AI in different areas. A possibility for a moratorium of AI use in specific high-risk areas. An obligation that, where AI is used to make decisions, people affected can challenge them and be given an understanding of the systems involved. There's also an obligation to assure to people that they are notified they are communicating with an AI rather than a human.
For more info, here's the treaty (PDF warning): rm.coe.int/1680afae3c
🤣 After Years of Chasing Money, OpenAI Reportedly Giving Up on Being a “Nonprofit”
— Futurism
So OpenAI can use everything ever posted on the internet to train their AI, but Internet Archive can't scan and upload books for people to borrow?? Got it. 🙄
#InternetArchive #OpenAI #AI #internet #tech #books #publishing #libraries
Claude.ai – in its own words:
“LLMs (Large Language Models) like myself often struggle with simple counting questions like "How many Rs are in strawberry?" for a few key reasons:
1. Lack of visual representation: We don't "see" words as images or sequences of letters. Instead, we process language as patterns of tokens and statistical relationships.
2. No explicit counting mechanism: We don't have a built-in ability to count individual characters or perform precise character-level analysis.
3. Trained on patterns, not literal counting: We're trained to predict likely sequences of words and understand meaning, not to perform character-level operations.
4. Contextual understanding vs. literal interpretation: We excel at understanding context and meaning, but may struggle with tasks that require literal, character-by-character analysis.
5. Overconfidence in quick answers: We might quickly generate an answer based on our statistical understanding of common words, rather than carefully analyzing the specific question.
For this specific question, an LLM might confidently answer "2" because it's a common word and that feels intuitively correct, without actually counting. Or it might give inconsistent answers across multiple attempts.
To accurately answer such questions, LLMs would need specific training on character-level tasks or integration with more precise counting mechanisms.”
interesting…
Yes, our phones are ‘listening’ to what we say.
“In Leak, Facebook Partner Brags About Listening to Your Phone’s Microphone to Serve Ads for Stuff You Mention”
Oh boi, do I have thoughts about #nanowrimo. Disclosure; I have written millions of words (most of them technical), I have done #NaNoWriMo a few times, and I have been writing about #AI since the early 90s.
#LLMs are NOT AI. LLMs are vacuums which sort existing data into sets. They do not create anything. Everything they output depends on stolen data. There is no honest LLM.
This year, Nano is sponsored by an LLM company, and after pushback, they said anyone suggesting AI shouldn't be used was "ableist and "classist"....which....whooweee , that's a mighty bold stance.
LLMs are being sued to hell by authors for slurping up all their content. The reason you can "engineer a prompt" by including "in the style of RR Martin" is because the LLM has digested ALL of RRMartin.
Re: "ableism", I'm going to direct you to Lina² neuromatch.social/@lina/113069…, who writes about the issue better than I could. And I want to thank @LinuxAndYarn for coming up with my fave new Nano tag: #NahNoHellNo.
Am I pro-AI? I honestly don't know. It helps from time to time, it also has a lot of problems, costs way too much energy and probably single-handedly pushes climate change along. This is bad.
But what's also bad is constantly spitting acid about #ai. I see sentiments like " If AI was so great, we'd see more people liking it!". No you wouldn't. Everybody sees all this pushback and will think three times before posting anything that's actually positive AI to make sure the contra-AI linchmob doesn't decide to " uhm well actually" them out of existence. Systemic change, sure, many voices form a crowd, fantastic, but for a place that is supposed to be open and individual, we're awfully decided on hating anyone who uses this technology into the ground. #sheesh
I teach on zoom, and today I tried their #AI recap feature.
It isn't stupid, it isn't useless, it is ridiculously useful. Genuinely.
I am actually blown away right now.
I know people either have an AI hard-on or hard-off if you hate it, but there are times in your life when something honestly impresses, and for me, this is it.
“No one on Earth today has ever lived in a world where photographs were not the linchpin of social consensus — for as long as any of us has been here, photographs proved something happened. Consider all the ways in which the assumed veracity of a photograph has, previously, validated the truth of your experiences. The preexisting ding in the fender of your rental car. The leak in your ceiling. The arrival of a package.”
We are not prepared. theverge.com/2024/8/22/2422597… #photography #AI #fake
Just had a platform survey me about the #AI features I'd like to see them add. My response was loud and clear:
I need to be able to disable AI features completely. My MSAs have rules governing the use of AI. If your platform can't disable it, many companies are not going to be able to use your software and stay legally compliant.
Feature #1 should be the off switch.
Please share this loudly everywhere.
As the #AI hype train continues, the threat it poses to #privacy continues to grow. 🤖
Fortunately, @noybeu is fighting back! 💪 💪 💪
👉 tuta.com/blog/noyb-privacy-win…
What are your biggest concerns about how AI will impact your privacy? Let us know in the comments!
Oh, I'm sure this cannot possibly end poorly: police using LLMs to write reports.
apnews.com/article/ai-writes-p…
Police officers are starting to use AI to write crime reports
Police officers are starting to use artificial intelligence to help write crime reports. Pulling from the sounds of an officer's body camera, an AI tool based on the same technology as ChatGPT can churn out the first draft of an incident report in se…SEAN MURPHY (AP News)
Oh look, here's some evidence about how this won't possibly go badly:
phys.org/news/2024-08-ai-polic…
AI used by police cannot tell Black people apart: Canada's AI laws need urgent attention, say researchers
Artificial intelligence (AI) is a powerful tool. In the hands of public police and other criminal justice agencies, AI can lead to injustice.Kevin Walby (Phys.org)
Was she AI generated? Some definite weird quirks on the speech there such as "share idees" and "Free softwahrr". Didn't seem like it was just an accent.
#GenAI #AI #GenerativeAI
Google Gemini - Accessible Android
The Google Gemini app is an AI assistant that can help supercharge your creativity and productivity.Accessible Android
ElevenLabs Reader: AI Audio - Accessible Android
Convert text into natural, expressive speech. Ideal for articles, ePubs, PDFs, or any text. ElevenLabs Reader puts its most capable Text to Speech (TTS) modelAccessible Android
thedsrnetwork.com/how-ai-is-dr…
#AI #Ethics #politics
How AI is Driving Us Toward a Global Philosophical Reckoning
We’re in the midst of a new technological revolution. Much like the Industrial Revolution, the AI era will challenge all aspects of society. David Leslie, Director of Ethics and Responsible InnovationRiley Fessler (The DSR Network)
How short is your memory? Microsoft is giving Recall another try in October.
Microsoft will try the data-scraping Windows Recall feature again in October
Initial Recall preview was lambasted for obvious privacy and security failures.Ars Technica
These are pretty impressive.
Microsoft releases three Phi-3.5 open source #AI models designed for basic/fast reasoning and more, available for developers to download, use, and fine-tune on Hugging Face.
venturebeat.com/ai/microsoft-r…
Microsoft releases powerful new Phi-3.5 models, beating Google, OpenAI and more
Microsoft’s release of the Phi-3.5 series represents a significant step forward in the development of multilingual and multimodal AI.Carl Franzen (VentureBeat)
We are recruiting for the position of a PhD/Junior Researcher or PostDoc/Senior Researcher with focus on knowledge graphs and large language models connected to applications in the domains of cultural heritage & digital humanities.
More info: fiz-karlsruhe.de/en/stellenanz…
Join our @fizise research team at @fiz_karlsruhe
@tabea @sashabruns @MahsaVafaie @GenAsefa @enorouzi @sourisnumerique @heikef #knowledgegraphs #llms #generativeAI #culturalHeritage #dh #joboffer #AI #ISE2024 #PhD #ISWS2024
PhD/Junior Researcher or PostDoc/Senior Researcher (f/m/x) | FIZ Karlsruhe
We are looking for a suitable person for the open position as a PhD/Junior Researcher or PostDoc/Senior Researcher (f/m/x) starting at the nearest possible date.www.fiz-karlsruhe.de
AI ❤️ Tuta!
Which makes sense as we're already using quantum-safe encryption. 🔒
We might not like AI, but it sure likes us. 😊
#ai #privacy #security #encryption #quantumworld
huggingface.co/openbmb/MiniCPM…
huggingface.co/openbmb/MiniCPM…
github.com/ggerganov/llama.cpp…
support MiniCPM-V-2.5 by tc-mb · Pull Request #7599 · ggerganov/llama.cpp
Dear llama.cpp Official, Hi, I'm writing to address our new PR submission for integrating our model MiniCPM-Llama3-V 2.5 into llama.cpp, which has been trending on Huggingface for over a week a...GitHub
tomshardware.com/pc-components…
Nvidia Blackwell GPUs allegedly delayed due to design flaws — launch expected to be pushed back by three months or more
Microsoft, Meta, Google, and xAI will have to wait a few more months to receive their massive GPU orders.Jowi Morales (Tom's Hardware)
Chipmakers puting AI cores in your CPU and not letting you use them for absolutely anything is the biggest waste of silicon in the history of modern computing.
Those tensor cores are godsend for things like large-scale CAD simulations but the only SDKs/samples provided are hardwired to run pretrained models.
There's no way to access the matrix/tensor capabilities directly. And that goes for both AMD and Intel.
#ai #NPU #tensor #programming #hardware #cpu
Our first experiment is complete with fantastic results! Check out the audio sample attached to this post.
For this month, @pneumasolutions provided GPU resources for training. I really appreciate their contribution.
This is just the beginning. To keep training going, I'm still accepting donations. Any amount helps.
I'm happy to receive your donations via PayPal:
paypal.me/geotts
Please mention mush42/tts in the notes.
#SpeechSynthesis #AI #ML
Zaplaťte uživateli Beka Gozalishvili pomocí služby PayPal.Me
Přejděte na adresu paypal.me/geotts a zadejte částku. Protože jde o PayPal, je to jednoduché a bezpečné. Nemáte účet PayPal? Nevadí.PayPal.Me
Claude by Anthropic - Accessible Android
Get help on a variety of tasks whenever inspiration strikes—on everything from writing to analysis to math—from Claude, your trusted AI assistant.Accessible Android
If AI Takes All Of Our Jobs... Who's Going To Buy Everything?
To try everything Brilliant has to offer for free for a full 30 days, visit http://www.brilliant.org/howmoneyworks. You’ll also get 20% off an annual premium...YouTube
AI achieves silver-medal standard solving International Mathematical Olympiad problems
Breakthrough models AlphaProof and AlphaGeometry 2 solve advanced reasoning problems in mathematicsGoogle DeepMind
I have been travelling the past few weeks, and have not yet had the time to fully digest the recent announcement by Deepmind of how their two new #IMO problem solver engines, AlphaProof and AlphaGeometry2, were able to between them solve 4 of the 6 problems at the most recent International Mathematical Olympiad: deepmind.google/discover/blog/… . But I can record some preliminary impressions.
1. This is great work, shifting once again our expectations of which benchmark challenges are within reach of either #AI-assisted or fully autonomous methods. For instance, IMO level geometry problems are now effectively a solved problem for specialized AI tools; and it seems now that IMO problems that can be readily formalized and with formal proofs that can be located through a reinforcement learning process are now at least somewhat amenable to AI attacks (though currently requiring genuinely significant amounts of compute per problem, and human assistance on the formalization side).
2. There may be side benefits of this approach into making formal mathematics easier to automate, which could in turn facilitate mathematical research methods that contain formal components. In particular, the database of formal proofs generated by this effort could be a useful resource if shared more openly.
3. The approach (based more on reinforcement learning than large language models, somewhat in the spirit of AlphaGo, and heavily emphasizing formal methods) is clever, and makes sense in retrospect. As per the "AI effect" en.wikipedia.org/wiki/AI_effec… , once explained, it does not "feel" like an exhibition of human-like intelligence; but it is still an expansion of the capability of our suite of AI-assisted problem solving tools.
Update download.sh · meta-llama/llama@12b676b
Inference code for Llama models. Contribute to meta-llama/llama development by creating an account on GitHub.GitHub