NTG

268 posts

NTG

NTG

@NTGamingg

Katılım Ekim 2022
177 Takip Edilen22 Takipçiler
NTG
NTG@NTGamingg·
@theo @gdb Hope you enjoy GPT-5.5!
English
0
0
1
128
Theo - t3.gg
Theo - t3.gg@theo·
@gdb 👀👀 (i did not get early access to this so I'm very excited)
English
9
0
180
7.2K
Marcus House
Marcus House@MarcusHouse·
Wow! Blue Origin just landed the same New Glenn first stage a second time. 🤯
English
54
95
2.4K
38.7K
EV Clinic
EV Clinic@evclinic·
Tesla killer discovered!!! With six active workshops now, we are increasingly seeing the same issue over and over again. A “coolant delete” on a motor without any actual coolant ingress leads to overheating and destruction of the stator windings. One problem gets “solved”, but a much more expensive one is created. Overheated ceramic bearings, burned grease, and eventually melted windings. We’ve been warning about this for a long time – Central and Southern Europe are simply not suitable for these kinds of modifications due to higher driving speeds and higher ambient temperatures. Maybe it works in Nordic countries, but here it clearly doesn’t. The stator degrades, and without proper cooling that degradation has direct consequences – reduced range, worse heat scavenging in winter, and slower battery heating. High-speed highway driving is often the final trigger before a tow truck is needed. The biggest problem is that a “coolant delete” is irreversible. After that, a proper repair with the EVC HolyGrail solution becomes more expensive because previous work often damages or removes the internal coolant cover pipe that cools the rotor. That part is not produced and not available for purchase – the only way to get it is by cannibalizing other LDU motors we repair. Because of that, these repairs are immediately more expensive by around €800 just due to missing parts. These “cheap solutions” being presented without facts are simply not cheap in real-world scenarios. Even recently, we see completely misleading information being spread in the media – claims that Tesla motors are overpriced and that a “$2 cap” is the solution. That is simply not true and creates a completely wrong perception of the problem and the actual solutions. Our motors, backed by serious development and over €30,000 invested in testing, are already running close to one million kilometers without failure. At the same time, we continuously see cases where coolant delete destroys motors – and not only on Tesla. There are cases where it be user slow speed commuting with low speed limit zones. But any moderate towing, high speed driving or other heavy scenarios, it might not (german autobahn) Reality: An EVC LDU remanufacturing with coolant delete history is not usual price €2800, but around €3600 + stator €1800 + VAT. When buying a vehicle – know what has been done to it. Do it once, do it right. If you need proper LDU reman: EVC Zagreb, EVc Ljubljana, EVC Berlin, EVC Belgrade, EVC Budapest, EVC Paris - Soon EVC Romania, EVc Istanbul
EV Clinic tweet mediaEV Clinic tweet mediaEV Clinic tweet mediaEV Clinic tweet media
English
30
37
390
101K
EFIEBER
EFIEBER@EFIEBER_ANDRE·
WirtschaftsWoche, ernsthaft? Was ist das für ein Journalismus? Tesla wird erst als unbedeutend abgetan und dann wird auch noch behauptet, andere Autobauer seien viel weiter. So etwas wirkt nicht wie nüchterne Analyse, sondern wie gezieltes Framing.
EFIEBER tweet media
Deutsch
129
48
858
25.6K
Tobias Goebel (Unsupervised)
Da fällt einem echt nix mehr zu ein. Eine absolute Bankrotterklärung des deutschen Wirtschaftsjournalismus. Für wie blöd hält die @wiwo eigentlich ihre Leser? Dieser Artikel von heute stammt vom stellvertretenden Leiter des Ressorts Unternehmen&Technologie. Eine absolute Schande.
Tobias Goebel (Unsupervised) tweet media
Deutsch
173
142
1.6K
62.1K
ClaudeDevs
ClaudeDevs@ClaudeDevs·
To make it easier to migrate your workflows, we've updated the claude-api skill in Claude Code with Opus 4.7 support. Just say "migrate to Opus 4.7" and it updates model names, prompts, and effort settings for you.
English
91
209
3.6K
354.5K
Tibo
Tibo@thsottiaux·
Codex Compute efficient ✅ Always up, never down ✅ Best at hardcore engineering ✅ Crazy good app, first to escape the terminal ✅
English
452
186
5.1K
2.4M
NTG
NTG@NTGamingg·
@Tesla @Teslaconomics Please make me see my other teslas on the in car navigation! And maybe even click them to connect via voicecall or something simuar. More Interaction between teslas would be nice.
English
2
0
5
1.6K
Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
NEWS: Amazon has unveiled its Amazon Leo Aviation Antenna. "This will deliver reliable internet connectivity to airline passengers and crew with up to 1 Gbps download and 400 Mbps upload speeds. The low-profile antenna has no moving parts, reducing maintenance, and can be installed in one day." • 58 inches long • 30 inches wide • 2.6 inches high
Sawyer Merritt tweet mediaSawyer Merritt tweet mediaSawyer Merritt tweet media
English
164
150
2.1K
270.4K
NTG
NTG@NTGamingg·
@DirtyTesLa What is this sync in your latest video at 21:40 hahaha
NTG tweet media
English
0
0
2
75
Dirty Tesla
Dirty Tesla@DirtyTesLa·
I finally found the parking P. I had to edit my destination a couple of times and then it showed up. I didn't really notice any difference in behavior though
Dirty Tesla tweet media
English
23
3
221
10.2K
NTG
NTG@NTGamingg·
@ArtificialAnlys Give us Claude Mythos, please! I think I'm speaking for everyone here!
English
0
0
2
1.1K
Artificial Analysis
Artificial Analysis@ArtificialAnlys·
Meta is back! Muse Spark scores 52 on the Artificial Analysis Intelligence Index, behind only Gemini 3.1 Pro, GPT-5.4, and Claude Opus 4.6. Muse Spark is the first new release since Llama 4 in April 2025 and also Meta's first release that is not open weights Muse Spark is a new model from @Meta evaluated on Artificial Analysis. We were given early access by Meta to independently benchmark the model. It is the first frontier-class model from Meta since Llama 4 Maverick was released in April 2025, and notably the first @AIatMeta model that is not being released as open weights. The release follows Meta's reorganization of its AI efforts under Meta Superintelligence Labs, and signals that Meta is re-entering the frontier race after roughly a year of relative quiet. For context, Llama 4 Maverick and Scout scored 18 and 13 respectively on the Artificial Analysis Intelligence Index as non-reasoning models at the time of their release, while Muse Spark scores 52. Muse Spark essentially closes the gap between to the frontier in a single release. The model is not open source and is not yet accessible via an API but Meta has shared they expect this to come soon. Meta is also integrating Muse Spark into their first party products including their Meta AI chat product, Facebook, Instagram and Threads. Key takeaways from our benchmarks: ➤ Muse Spark scores 52 on the Artificial Analysis Intelligence Index, placing it within the top 5 models we have benchmarked. It sits ahead of Claude Sonnet 4.6, GLM-5.1, MiniMax-M2.7, Grok 4.20 and behind Gemini 3.1 Pro Preview, GPT-5.4 and Claude Opus 4.6 ➤ Muse Spark is notably token efficient for its intelligence level. It used 58M output tokens to run the Intelligence Index, comparable to Gemini 3.1 Pro Preview (57M) and notably lower than Claude Opus 4.6 (Adaptive Reasoning, max effort, 157M), GPT-5.4 (xhigh, 120M) and GLM-5 (110M) ➤ Muse Spark is the second-most capable vision model we have benchmarked. It scores 80.5% on MMMU-Pro, behind only Gemini 3.1 Pro Preview (82.4%) ➤ Muse Spark performs strongly on reasoning and instruction-following evaluations. It scores 39.9% on HLE, trailing only Gemini 3.1 Pro Preview (44.7%) and GPT-5.4 (xhigh, 41.6%). The model also achieved 5th highest in CritPT with a score of 11%, an eval that is focused on difficult physics research questions. This is substantially above above Gemini 3 Flash (9%) and Claude 4.6 Sonnet (3%) ➤ Agentic performance does not stand out. On GDPval-AA, our evalaution focused on real world work tasks, Muse Spark scores 1427, behind both Claude Sonnet 4.6 at 1648 and GPT-5.4 at 1676, but ahead of Gemini 3.1 Pro Preview at 1320. On On TerminalBench Hard, Muse Spark trails Claude Sonnet 4.6, GPT-5.4, and Gemini 3.1 Pro. Muse Spark joins others in achieving a high τ²-Bench Telecom score of 92% Key model details: ➤ Modalities: Multimodal including text and vision input, text output ➤ License: Proprietary, Meta's first frontier model not released as open weights ➤ Availability: No public API at the time of publishing. Meta expects to provide API access soon. Meta has started integration into their first party AI offering Meta AI and inside Facebook, Instagram, and Threads
Artificial Analysis tweet media
English
74
323
2.5K
493K
NTG
NTG@NTGamingg·
@thsottiaux Seems like your servers hit their usage Limits.....
NTG tweet media
English
0
0
0
1
Samuel
Samuel@Samuelai_Qauntu·
@chetaslua While costing a trillion times more.
English
1
0
2
353
NTG
NTG@NTGamingg·
@AIDRIVR Will you do a livestream?
English
0
0
2
215
ΛI DRIVR
ΛI DRIVR@AIDRIVR·
legacy 2023 Y still gets the first wave rollout 💪
ΛI DRIVR tweet media
English
32
11
721
34.1K
NTG
NTG@NTGamingg·
@theo Can you or anyone please make a harness/CLI comparison? There are so many, and no good comparison benchmark. I would love a comparison between: - Claude-Code - Codex-CLI - Opencode - Droid - Aider etc. I know I'm deep in the land of OpenAI-love here, but I just wanted to ask...
English
1
0
2
1.3K
Theo - t3.gg
Theo - t3.gg@theo·
Idk if they made other changes, but I almost exclusively use Claude Code for fixing things on my system and now it's refusing to do that? 🙃
Theo - t3.gg tweet media
English
89
12
766
189K
NTG
NTG@NTGamingg·
@Elaina43114880 Its so bad, its soooo noisy omg! every single image ive seen of GPT-Image-2 is sooo easily identified as fake with all of that noise!
English
2
0
5
2.7K